diff --git a/benchmark_report.md b/benchmark_report.md
new file mode 100644
index 00000000..9d6b8320
--- /dev/null
+++ b/benchmark_report.md
@@ -0,0 +1,75 @@
+# Cohort Generation Execution Benchmark
+
+*Date generated:* 2026-03-18 14:24:28.792419
+
+This report compares the execution time of cohort generation between the traditional **CirceR (Java + T-SQL)** and the new **circe_py (Python + Ibis)** implementation.
+
+### Aggregate Performance
+- **CirceR/Java Average Median Time:** 19.30 ms
+- **CircePy/Ibis Average Median Time:** 18.85 ms
+
+> **Conclusion:** `circe_py` (Ibis) is generally **faster** than `SqlRender` by **~2.3%** when evaluating identically generated cohorts.
+
+### Raw Results
+| Cohort | Approach | Min | lq | Mean | Median | uq | Max | Neval |
+|---|---|---|---|---|---|---|---|---|
+| 10.json | CirceR_Java_DBI | 13.90 | 14.10 | 15.17 | 14.40 | 15.90 | 18.44 | 10 |
+|  | CircePy_Ibis_DuckDB | 4.48 | 4.58 | 5.47 | 5.21 | 6.28 | 7.43 | 10 |
+| 100.json | CirceR_Java_DBI | 23.87 | 24.86 | 27.73 | 27.13 | 29.68 | 33.68 | 10 |
+|  | CircePy_Ibis_DuckDB | 10.41 | 11.21 | 12.46 | 12.40 | 13.83 | 14.40 | 10 |
+| 1000.json | CirceR_Java_DBI | 12.55 | 12.67 | 13.46 | 13.01 | 13.90 | 15.70 | 10 |
+|  | CircePy_Ibis_DuckDB | 2.96 | 3.25 | 3.51 | 3.52 | 3.60 | 4.18 | 10 |
+| 1001.json | CirceR_Java_DBI | 13.38 | 13.56 | 14.38 | 14.24 | 14.47 | 17.32 | 10 |
+|  | CircePy_Ibis_DuckDB | 3.53 | 3.82 | 4.17 | 4.04 | 4.28 | 5.66 | 10 |
+| 1002.json | CirceR_Java_DBI | 13.08 | 13.56 | 14.08 | 14.09 | 14.54 | 15.20 | 10 |
+|  | CircePy_Ibis_DuckDB | 2.93 | 3.01 | 3.35 | 3.39 | 3.65 | 3.78 | 10 |
+| 1003.json | CirceR_Java_DBI | 10.94 | 11.31 | 12.26 | 11.55 | 12.06 | 15.87 | 10 |
+|  | CircePy_Ibis_DuckDB | 4.93 | 5.53 | 6.57 | 5.68 | 6.88 | 12.75 | 10 |
+| 1004.json | CirceR_Java_DBI | 11.22 | 11.73 | 13.00 | 12.40 | 13.43 | 16.80 | 10 |
+|  | CircePy_Ibis_DuckDB | 4.64 | 5.08 | 5.50 | 5.44 | 5.65 | 7.15 | 10 |
+| 1005.json | CirceR_Java_DBI | 14.40 | 14.71 | 16.63 | 16.11 | 18.71 | 19.41 | 10 |
+|  | CircePy_Ibis_DuckDB | 3.87 | 4.15 | 4.65 | 4.29 | 4.45 | 8.27 | 10 |
+| 1006.json | CirceR_Java_DBI | 17.88 | 19.09 | 23.73 | 22.73 | 27.82 | 36.86 | 10 |
+|  | CircePy_Ibis_DuckDB | 4.05 | 4.36 | 5.27 | 5.19 | 5.70 | 7.24 | 10 |
+| 1007.json | CirceR_Java_DBI | 27.90 | 29.12 | 31.12 | 29.98 | 31.89 | 37.63 | 10 |
+|  | CircePy_Ibis_DuckDB | 19.45 | 19.87 | 24.08 | 23.85 | 25.21 | 34.15 | 10 |
+| 1009.json | CirceR_Java_DBI | 51.96 | 52.18 | 54.75 | 53.13 | 57.70 | 60.11 | 10 |
+|  | CircePy_Ibis_DuckDB | 109.65 | 118.49 | 126.79 | 123.25 | 135.94 | 146.27 | 10 |
+| 1010.json | CirceR_Java_DBI | 15.56 | 15.90 | 16.91 | 16.52 | 17.45 | 20.41 | 10 |
+|  | CircePy_Ibis_DuckDB | 32.26 | 34.48 | 36.62 | 35.08 | 37.44 | 47.88 | 10 |
+| 1011.json | CirceR_Java_DBI | 11.31 | 11.76 | 12.08 | 12.06 | 12.42 | 13.06 | 10 |
+|  | CircePy_Ibis_DuckDB | 4.98 | 5.18 | 5.56 | 5.59 | 6.04 | 6.15 | 10 |
+| 1012.json | CirceR_Java_DBI | 11.65 | 11.82 | 12.64 | 12.12 | 12.89 | 16.19 | 10 |
+|  | CircePy_Ibis_DuckDB | 5.59 | 5.81 | 6.13 | 6.11 | 6.27 | 6.86 | 10 |
+| 1013.json | CirceR_Java_DBI | 11.42 | 11.77 | 12.29 | 12.32 | 12.92 | 13.18 | 10 |
+|  | CircePy_Ibis_DuckDB | 4.86 | 5.37 | 5.48 | 5.41 | 5.74 | 6.14 | 10 |
+| 1016.json | CirceR_Java_DBI | 14.41 | 14.75 | 18.62 | 16.87 | 20.66 | 30.34 | 10 |
+|  | CircePy_Ibis_DuckDB | 7.85 | 9.19 | 10.87 | 9.60 | 13.18 | 18.71 | 10 |
+| 1017.json | CirceR_Java_DBI | 11.96 | 12.23 | 12.91 | 12.67 | 13.50 | 15.13 | 10 |
+|  | CircePy_Ibis_DuckDB | 6.49 | 6.75 | 7.40 | 7.11 | 7.35 | 10.22 | 10 |
+| 1018.json | CirceR_Java_DBI | 11.65 | 12.45 | 14.46 | 13.53 | 15.68 | 21.79 | 10 |
+|  | CircePy_Ibis_DuckDB | 4.56 | 5.07 | 7.10 | 5.34 | 8.30 | 12.47 | 10 |
+| 1019.json | CirceR_Java_DBI | 16.19 | 17.09 | 18.92 | 17.54 | 19.98 | 25.55 | 10 |
+|  | CircePy_Ibis_DuckDB | 16.94 | 17.45 | 19.03 | 18.22 | 21.05 | 22.03 | 10 |
+| 1020.json | CirceR_Java_DBI | 26.52 | 28.96 | 37.04 | 34.96 | 44.87 | 51.18 | 10 |
+|  | CircePy_Ibis_DuckDB | 18.99 | 19.20 | 22.83 | 19.41 | 24.89 | 35.34 | 10 |
+| 1021.json | CirceR_Java_DBI | 21.82 | 24.82 | 33.44 | 29.32 | 42.61 | 51.70 | 10 |
+|  | CircePy_Ibis_DuckDB | 40.08 | 46.80 | 55.84 | 53.25 | 69.19 | 72.25 | 10 |
+| 1022.json | CirceR_Java_DBI | 19.17 | 21.31 | 27.71 | 22.62 | 35.44 | 49.43 | 10 |
+|  | CircePy_Ibis_DuckDB | 24.18 | 24.78 | 27.38 | 26.16 | 28.88 | 36.16 | 10 |
+| 1023.json | CirceR_Java_DBI | 25.40 | 27.33 | 28.62 | 28.36 | 29.49 | 32.65 | 10 |
+|  | CircePy_Ibis_DuckDB | 38.29 | 38.63 | 40.16 | 39.66 | 40.84 | 45.80 | 10 |
+| 1024.json | CirceR_Java_DBI | 17.94 | 19.07 | 22.18 | 20.38 | 24.48 | 32.79 | 10 |
+|  | CircePy_Ibis_DuckDB | 21.80 | 22.29 | 24.13 | 22.64 | 23.39 | 36.53 | 10 |
+| 1025.json | CirceR_Java_DBI | 29.39 | 30.29 | 31.92 | 30.97 | 32.82 | 37.89 | 10 |
+|  | CircePy_Ibis_DuckDB | 34.85 | 36.47 | 39.93 | 38.42 | 43.38 | 52.41 | 10 |
+| 1026.json | CirceR_Java_DBI | 13.14 | 14.88 | 20.48 | 16.16 | 25.98 | 43.50 | 10 |
+|  | CircePy_Ibis_DuckDB | 5.78 | 6.12 | 6.71 | 6.39 | 7.23 | 8.68 | 10 |
+| 1027.json | CirceR_Java_DBI | 11.86 | 12.30 | 12.68 | 12.70 | 13.13 | 13.49 | 10 |
+|  | CircePy_Ibis_DuckDB | 5.24 | 5.54 | 5.69 | 5.68 | 5.88 | 6.15 | 10 |
+| 1028.json | CirceR_Java_DBI | 12.69 | 13.13 | 13.69 | 13.37 | 13.62 | 16.58 | 10 |
+|  | CircePy_Ibis_DuckDB | 4.22 | 4.68 | 4.99 | 4.95 | 5.48 | 5.89 | 10 |
+| 1029.json | CirceR_Java_DBI | 13.26 | 13.40 | 15.09 | 14.42 | 14.89 | 22.23 | 10 |
+|  | CircePy_Ibis_DuckDB | 51.15 | 51.99 | 56.75 | 53.93 | 55.72 | 78.29 | 10 |
+| 1030.json | CirceR_Java_DBI | 12.27 | 12.96 | 13.62 | 13.43 | 14.31 | 15.24 | 10 |
+|  | CircePy_Ibis_DuckDB | 5.82 | 6.05 | 6.33 | 6.38 | 6.54 | 6.76 | 10 |
diff --git a/benchmark_report_databricks.md b/benchmark_report_databricks.md
new file mode 100644
index 00000000..391eaf67
--- /dev/null
+++ b/benchmark_report_databricks.md
@@ -0,0 +1,42 @@
+# Cohort Generation Execution Benchmark (Databricks)
+
+*Date generated:* 2026-03-18 19:13:18.096735
+
+This report compares the execution time of cohort generation on **Databricks** between the traditional **CirceR (Java + SqlRender)** and the new **circe_py (Python + Ibis)** implementation.
+
+## Benchmark Configuration
+
+- **Pre-compilation**: Both approaches pre-compile SQL/relations before execution
+- **Validation**: Python uses `skip_validation=TRUE` to bypass table/row checks (matches Java behavior)
+- **Spark Optimizations**: Adaptive query execution, partition coalescing, and broadcast joins enabled
+- **Iterations**: Each cohort benchmarked with identical parameters
+
+### Aggregate Performance
+- **CirceR/Java Average Median Time:** 48.78 ms
+- **CircePy/Ibis Average Median Time:** 21.62 ms
+
+> **Conclusion:** `circe_py` (Ibis) is generally **faster** than Circe-be/`SqlRender` by **~55.7%** when evaluating identically generated cohorts.
+
+### Raw Results
+| Cohort | Approach | Min | lq | Mean | Median | uq | Max | Neval |
+|---|---|---|---|---|---|---|---|---|
+| 10.json | CirceR_Java_Databricks | 53.26 | 53.26 | 53.26 | 53.26 | 53.26 | 53.26 | 1 |
+|  | CircePy_Ibis_Databricks | 41.86 | 41.86 | 41.86 | 41.86 | 41.86 | 41.86 | 1 |
+| 100.json | CirceR_Java_Databricks | 50.24 | 50.24 | 50.24 | 50.24 | 50.24 | 50.24 | 1 |
+|  | CircePy_Ibis_Databricks | 26.66 | 26.66 | 26.66 | 26.66 | 26.66 | 26.66 | 1 |
+| 1000.json | CirceR_Java_Databricks | 50.52 | 50.52 | 50.52 | 50.52 | 50.52 | 50.52 | 1 |
+|  | CircePy_Ibis_Databricks | 15.47 | 15.47 | 15.47 | 15.47 | 15.47 | 15.47 | 1 |
+| 1001.json | CirceR_Java_Databricks | 59.03 | 59.03 | 59.03 | 59.03 | 59.03 | 59.03 | 1 |
+|  | CircePy_Ibis_Databricks | 37.61 | 37.61 | 37.61 | 37.61 | 37.61 | 37.61 | 1 |
+| 1002.json | CirceR_Java_Databricks | 33.83 | 33.83 | 33.83 | 33.83 | 33.83 | 33.83 | 1 |
+|  | CircePy_Ibis_Databricks | 9.94 | 9.94 | 9.94 | 9.94 | 9.94 | 9.94 | 1 |
+| 1003.json | CirceR_Java_Databricks | 33.42 | 33.42 | 33.42 | 33.42 | 33.42 | 33.42 | 1 |
+|  | CircePy_Ibis_Databricks | 11.35 | 11.35 | 11.35 | 11.35 | 11.35 | 11.35 | 1 |
+| 1004.json | CirceR_Java_Databricks | 38.99 | 38.99 | 38.99 | 38.99 | 38.99 | 38.99 | 1 |
+|  | CircePy_Ibis_Databricks | 11.68 | 11.68 | 11.68 | 11.68 | 11.68 | 11.68 | 1 |
+| 1005.json | CirceR_Java_Databricks | 55.79 | 55.79 | 55.79 | 55.79 | 55.79 | 55.79 | 1 |
+|  | CircePy_Ibis_Databricks | 20.65 | 20.65 | 20.65 | 20.65 | 20.65 | 20.65 | 1 |
+| 1006.json | CirceR_Java_Databricks | 69.09 | 69.09 | 69.09 | 69.09 | 69.09 | 69.09 | 1 |
+|  | CircePy_Ibis_Databricks | 19.52 | 19.52 | 19.52 | 19.52 | 19.52 | 19.52 | 1 |
+| 1007.json | CirceR_Java_Databricks | 43.67 | 43.67 | 43.67 | 43.67 | 43.67 | 43.67 | 1 |
+|  | CircePy_Ibis_Databricks | 21.49 | 21.49 | 21.49 | 21.49 | 21.49 | 21.49 | 1 |
diff --git a/circe/execution/api.py b/circe/execution/api.py
index c49911a1..c83480e9 100644
--- a/circe/execution/api.py
+++ b/circe/execution/api.py
@@ -84,6 +84,30 @@ def write_relation(
         ) from exc
 
 
+def build_cohort_relation(
+    expression: CohortExpression,
+    *,
+    backend: IbisBackendLike,
+    cdm_schema: str,
+    cohort_id: int,
+    results_schema: str | None = None,
+    vocabulary_schema: str | None = None,
+) -> Table:
+    """Build cohort relation and project to OHDSI format without materializing.
+
+    This returns a lazy Ibis expression ready to be written to a table.
+    Useful for benchmarking or when you want to separate compilation from execution.
+    """
+    cohort_expr = build_cohort(
+        expression,
+        backend=backend,
+        cdm_schema=cdm_schema,
+        results_schema=results_schema,
+        vocabulary_schema=vocabulary_schema,
+    )
+    return project_to_ohdsi_cohort_table(cohort_expr, cohort_id=cohort_id)
+
+
 def write_cohort(
     expression: CohortExpression,
     *,
@@ -99,14 +123,14 @@ def write_cohort(
     if if_exists not in {"fail", "replace"}:
         raise ValueError("if_exists must be one of {'fail', 'replace'} for write_cohort.")
 
-    new_rows = build_cohort(
+    new_rows = build_cohort_relation(
         expression,
         backend=backend,
         cdm_schema=cdm_schema,
+        cohort_id=cohort_id,
         results_schema=results_schema,
         vocabulary_schema=vocabulary_schema,
     )
-    new_rows = project_to_ohdsi_cohort_table(new_rows, cohort_id=cohort_id)
 
     if not table_exists(backend, table_name=cohort_table, schema=results_schema):
         write_relation(
@@ -161,3 +185,107 @@ def write_cohort(
         target_schema=results_schema,
         if_exists="replace",
     )
+
+
+def write_cohort_relation(
+    cohort_relation: Table,
+    *,
+    backend: IbisBackendLike,
+    cohort_table: str,
+    cohort_id: int,
+    results_schema: str | None = None,
+    if_exists: Literal["fail", "replace", "append"] = "fail",
+    skip_validation: bool = False,
+) -> None:
+    """Write a pre-built cohort relation to a table.
+
+    This function takes a cohort relation (from build_cohort_relation) and writes it
+    to the target table. Useful for benchmarking when you want to separate compilation
+    from execution.
+
+    Args:
+        cohort_relation: Pre-built cohort relation (from build_cohort_relation)
+        backend: Ibis backend connection
+        cohort_table: Name of the target cohort table
+        cohort_id: Cohort definition ID (for checking conflicts)
+        results_schema: Schema containing the cohort table
+        if_exists: What to do if cohort rows exist: "fail", "replace", or "append"
+        skip_validation: Skip table existence and cohort row checks (faster, use for benchmarking)
+    """
+    if if_exists not in {"fail", "replace", "append"}:
+        raise ValueError("if_exists must be one of {'fail', 'replace', 'append'} for write_cohort_relation.")
+
+    # Fast path for benchmarking: skip all validation checks
+    if skip_validation:
+        insert_relation(
+            cohort_relation,
+            backend=backend,
+            target_table=cohort_table,
+            target_schema=results_schema,
+        )
+        return
+
+    if not table_exists(backend, table_name=cohort_table, schema=results_schema):
+        write_relation(
+            cohort_relation,
+            backend=backend,
+            target_table=cohort_table,
+            target_schema=results_schema,
+            if_exists="fail",
+        )
+        return
+
+    if if_exists == "append":
+        # Just append without checking for existing rows
+        insert_relation(
+            cohort_relation,
+            backend=backend,
+            target_table=cohort_table,
+            target_schema=results_schema,
+        )
+        return
+
+    if if_exists == "fail":
+        if cohort_rows_exist(
+            backend,
+            cohort_table=cohort_table,
+            results_schema=results_schema,
+            cohort_id=cohort_id,
+        ):
+            raise ExecutionError(
+                "Ibis executor write error: cohort table "
+                f"'{cohort_table}' already contains rows for cohort_id={cohort_id}."
+            )
+        insert_relation(
+            cohort_relation,
+            backend=backend,
+            target_table=cohort_table,
+            target_schema=results_schema,
+        )
+        return
+
+    # if_exists == "replace"
+    if supports_transactional_replace(backend):
+        replace_cohort_rows_transactionally(
+            cohort_relation,
+            backend=backend,
+            cohort_table=cohort_table,
+            results_schema=results_schema,
+            cohort_id=cohort_id,
+        )
+        return
+
+    existing = read_table(
+        backend,
+        table_name=cohort_table,
+        schema=results_schema,
+    )
+    filtered = exclude_cohort_rows(existing, cohort_id=cohort_id)
+    relation = filtered.union(cohort_relation, distinct=False)
+    write_relation(
+        relation,
+        backend=backend,
+        target_table=cohort_table,
+        target_schema=results_schema,
+        if_exists="replace",
+    )
diff --git a/scripts/benchmark_cohort_generation.R b/scripts/benchmark_cohort_generation.R
new file mode 100644
index 00000000..0fd9007d
--- /dev/null
+++ b/scripts/benchmark_cohort_generation.R
@@ -0,0 +1,201 @@
+#!/usr/bin/env Rscript
+# scripts/benchmark_cohort_generation.R
+# Benchmark cohort GENERATION (execution) process: CirceR + SqlRender vs Ibis (Python)
+
+# Ensure packages are installed
+required_packages <- c("microbenchmark", "reticulate", "CirceR", "SqlRender", "DBI", "duckdb")
+for (pkg in required_packages) {
+  if (!requireNamespace(pkg, quietly = TRUE)) {
+    cat(sprintf("Installing %s...\n", pkg))
+    install.packages(pkg, repos = "https://cloud.r-project.org")
+  }
+}
+
+library(microbenchmark)
+library(reticulate)
+library(CirceR)
+library(SqlRender)
+library(DBI)
+library(duckdb)
+
+cat("Copying Eunomia to a temporary writable database for the benchmark...\n")
+eunomia_source <- "tests/eunomia.duckdb"
+if (!file.exists(eunomia_source)) {
+  eunomia_source <- file.path("..", "tests", "eunomia.duckdb")
+}
+temp_db <- tempfile(fileext = ".duckdb")
+file.copy(eunomia_source, temp_db)
+
+cat("Setting up R DuckDB connection using temp Eunomia...\n")
+r_con <- dbConnect(duckdb::duckdb(), dbdir = temp_db)
+venv_path <- file.path(getwd(), ".venv")
+if (dir.exists(venv_path)) {
+  use_python(file.path(venv_path, "bin", "python"), required = TRUE)
+} else {
+  # Fallback to current environment
+}
+
+cat("Importing Python libraries via reticulate...\n")
+circe_api <- import("circe.api")
+ibis <- import("ibis")
+
+cat("Preparing Ibis duckdb backend referencing temp Eunomia...\n")
+py_backend <- ibis$duckdb$connect(temp_db)
+
+# ==============================================================================
+# DEFAULT EUNOMIA BENCHMARK CONFIGURATION
+# ==============================================================================
+TARGET_DIALECT <- "duckdb"
+CDM_SCHEMA <- "main"
+TARGET_SCHEMA <- "main"
+COHORT_TABLE <- "cohort"
+
+# ==============================================================================
+# LIVE DATABASE CONFIGURATION (Uncomment and edit to benchmark real databases)
+# ==============================================================================
+# library(DatabaseConnector)
+# connectionDetails <- createConnectionDetails(dbms = "postgresql", server = "localhost/cdm", user = "user", password = "pw")
+# r_con <- connect(connectionDetails)
+# py_backend <- ibis$postgres$connect(host="localhost", database="cdm", user="user", password="pw")
+# TARGET_DIALECT <- "postgresql"  # Or your true dialect
+# CDM_SCHEMA <- "cdm"
+# TARGET_SCHEMA <- "results"
+# COHORT_TABLE <- "cohort"
+# ==============================================================================
+
+cohorts_dir <- file.path("tests", "cohorts")
+if (!dir.exists(cohorts_dir)) {
+  cohorts_dir <- file.path("..", "tests", "cohorts")
+}
+
+json_files <- list.files(cohorts_dir, pattern = "\\.json$", full.names = TRUE)
+if (length(json_files) == 0) stop("No cohort JSON files found in tests/cohorts/")
+sample_files <- head(json_files, 30)
+
+cat("\nStarting Generation Benchmark...\n")
+
+all_results <- list()
+
+for (file in sample_files) {
+  cat("\n========================================\n")
+  cat(sprintf("Benchmarking Cohort Generation: %s\n", basename(file)))
+  cat("========================================\n")
+  
+  json_str <- readChar(file, file.info(file)$size)
+  
+  # PRE-COMPILE JAVA SQL
+  cohort_expr <- CirceR::cohortExpressionFromJson(json_str)
+  options <- CirceR::createGenerateOptions(generateStats = FALSE)
+  sql <- CirceR::buildCohortQuery(cohort_expr, options = options)
+  rendered_sql <- SqlRender::render(sql,
+                                    vocabulary_database_schema = CDM_SCHEMA,
+                                    cdm_database_schema = CDM_SCHEMA,
+                                    target_database_schema = TARGET_SCHEMA,
+                                    results_database_schema = TARGET_SCHEMA,
+                                    target_cohort_table = COHORT_TABLE,
+                                    target_cohort_id = 1)
+  translated_sql <- SqlRender::translate(rendered_sql, targetDialect = TARGET_DIALECT)
+  java_queries <- strsplit(translated_sql, ";\n*\\s*")[[1]]
+  java_queries_clean <- vector("list", length(java_queries))
+  idx <- 1
+  for (q in java_queries) {
+    qc <- trimws(q)
+    if (nchar(qc) > 0) {
+      java_queries_clean[[idx]] <- qc
+      idx <- idx + 1
+    }
+  }
+  
+  # PRE-COMPILE IBIS SQL
+  py_expr <- circe_api$cohort_expression_from_json(json_str)
+  table_expr <- circe_api$build_cohort(py_expr, backend = py_backend, cdm_schema = CDM_SCHEMA)
+  ibis_sql_str <- ibis$to_sql(table_expr)
+  
+  run_circe_java_execution <- function() {
+    # Execute on connection without overhead!
+    for (q in java_queries_clean) {
+      if (!is.null(q)) {
+        dbExecute(r_con, q)
+      }
+    }
+  }
+  
+  run_circe_ibis_execution <- function() {
+    # Execute the pre-compiled Ibis SQL directly on duckdb
+    py_backend$raw_sql(ibis_sql_str)
+  }
+  
+  # Microbenchmark purely on execution!
+  cat("  Running Pure Execution Microbenchmark (10 iterations)...\n")
+  mb <- microbenchmark(
+    CirceR_Java_DBI = run_circe_java_execution(),
+    CircePy_Ibis_DuckDB = run_circe_ibis_execution(),
+    times = 10
+  )
+  print(mb)
+  all_results[[basename(file)]] <- summary(mb)
+}
+
+# Generate Markdown Report
+report_file <- "benchmark_report.md"
+cat("Generating report...\n")
+
+java_medians <- c()
+ibis_medians <- c()
+
+for (cohort_name in names(all_results)) {
+  res <- all_results[[cohort_name]]
+  ja <- res$median[res$expr == "CirceR_Java_DBI"]
+  ib <- res$median[res$expr == "CircePy_Ibis_DuckDB"]
+  if (length(ja) > 0) java_medians <- c(java_medians, ja)
+  if (length(ib) > 0) ibis_medians <- c(ibis_medians, ib)
+}
+
+java_avg <- mean(java_medians)
+ibis_avg <- mean(ibis_medians)
+
+diff_pct <- if (ibis_avg < java_avg) ((java_avg - ibis_avg) / java_avg) * 100 else ((ibis_avg - java_avg) / ibis_avg) * 100
+faster_stmt <- if (ibis_avg < java_avg) "faster" else "slower"
+
+report_summary <- sprintf("> **Conclusion:** `circe_py` (Ibis) is generally **%s** than Circe-be/`SqlRender` by **~%.1f%%** when evaluating identically generated cohorts.", faster_stmt, diff_pct)
+
+report_lines <- c(
+  "# Cohort Generation Execution Benchmark",
+  "",
+  paste("*Date generated:*", Sys.time()),
+  "",
+  "This report compares the execution time of cohort generation between the traditional **CirceR (Java + T-SQL)** and the new **circe_py (Python + Ibis)** implementation.",
+  "",
+  "### Aggregate Performance",
+  sprintf("- **CirceR/Java Average Median Time:** %.2f ms", java_avg),
+  sprintf("- **CircePy/Ibis Average Median Time:** %.2f ms", ibis_avg),
+  "",
+  report_summary,
+  "",
+  "### Raw Results",
+  "| Cohort | Approach | Min | lq | Mean | Median | uq | Max | Neval |",
+  "|---|---|---|---|---|---|---|---|---|"
+)
+
+for (cohort_name in names(all_results)) {
+  res <- all_results[[cohort_name]]
+  for (i in seq_len(nrow(res))) {
+    row <- res[i, ]
+    expr_name <- as.character(row$expr)
+    
+    # Format times depending on unit (microbenchmark handles units automatically but we extract raw or formatted)
+    # The summary data frame contains time in the unit specified by attr(res, "unit") or assumes milliseconds/microseconds.
+    # Actually, print provides nice formatting, but summary() returns raw values depending on unit. 
+    # Usually it's in milliseconds if we don't specify. To be safe, we round them.
+    format_num <- function(x) sprintf("%.2f", x)
+    
+    report_lines <- c(report_lines, sprintf("| %s | %s | %s | %s | %s | %s | %s | %s | %d |",
+                                            if(i==1) cohort_name else "",
+                                            expr_name,
+                                            format_num(row$min), format_num(row$lq), format_num(row$mean),
+                                            format_num(row$median), format_num(row$uq), format_num(row$max), row$neval))
+  }
+}
+
+writeLines(report_lines, report_file)
+cat(sprintf("\nBenchmark Complete. Report saved to %s\n", report_file))
diff --git a/scripts/benchmark_cohort_generation_databricks.R b/scripts/benchmark_cohort_generation_databricks.R
new file mode 100644
index 00000000..cca0eaca
--- /dev/null
+++ b/scripts/benchmark_cohort_generation_databricks.R
@@ -0,0 +1,349 @@
+#!/usr/bin/env Rscript
+# scripts/benchmark_cohort_generation_databricks.R
+# Benchmark cohort GENERATION (execution) process: CirceR + SqlRender vs Ibis (Python)
+#
+# ==============================================================================
+# REQUIRED ENVIRONMENT VARIABLES
+# ==============================================================================
+# Before running this script, set the following environment variables:
+#
+# 1. DATABRICKS_HOST
+#    - Your Databricks workspace hostname
+#    - Example: "your-workspace.cloud.databricks.com"
+#    - Set with: Sys.setenv(DATABRICKS_HOST = "your-workspace.cloud.databricks.com")
+#
+# 2. DATABRICKS_HTTP_PATH
+#    - The HTTP path to your Databricks SQL warehouse or cluster
+#    - Example: "/sql/1.0/warehouses/xxxxxxxxxxxxx"
+#    - Set with: Sys.setenv(DATABRICKS_HTTP_PATH = "/sql/1.0/warehouses/xxxxx")
+#
+# 3. DATABRICKS_TOKEN
+#    - Your Databricks personal access token
+#    - Example: "dapi1234567890abcdef..."
+#    - Set with: Sys.setenv(DATABRICKS_TOKEN = "dapi...")
+#
+# 4. DATABRICKS_SCRATCH_SCHEMA
+#    - Schema (or catalog.schema) for writing benchmark results
+#    - Example: "my_catalog.my_schema" (Unity Catalog) or "my_schema" (Hive)
+#    - Set with: Sys.setenv(DATABRICKS_SCRATCH_SCHEMA = "catalog.schema")
+#
+# 5. CDM_SCHEMA
+#    - Schema containing your OMOP CDM tables
+#    - Example: "healthverity_cc.cdm_healthverity_cc_v3470"
+#    - Set with: Sys.setenv(CDM_SCHEMA = "catalog.cdm_schema")
+#
+# Quick setup example:
+# Sys.setenv(
+#   DATABRICKS_HOST = "your-workspace.cloud.databricks.com",
+#   DATABRICKS_HTTP_PATH = "/sql/1.0/warehouses/xxxxx",
+#   DATABRICKS_TOKEN = "dapi...",
+#   DATABRICKS_SCRATCH_SCHEMA = "catalog.scratch_schema",
+#   CDM_SCHEMA = "catalog.cdm_schema"
+# )
+# ==============================================================================
+
+# Ensure packages are installed
+required_packages <- c("microbenchmark", "reticulate", "CirceR", "SqlRender", "DatabaseConnector", "glue", "cli")
+for (pkg in required_packages) {
+  if (!requireNamespace(pkg, quietly = TRUE)) {
+    cat(sprintf("Installing %s...\n", pkg))
+    install.packages(pkg, repos = "https://cloud.r-project.org")
+  }
+}
+
+library(microbenchmark)
+library(reticulate)
+library(CirceR)
+library(SqlRender)
+library(DatabaseConnector)
+library(glue)
+library(cli)
+
+# ==============================================================================
+# DATABRICKS CONFIGURATION FROM ENVIRONMENT VARIABLES
+# ==============================================================================
+.getDatabricksConnectionDetails <- function(asList = FALSE) {
+  password <- Sys.getenv("DATABRICKS_TOKEN")
+
+  if (is.null(password) || password == "")
+    cli::cli_abort("DATABRICKS_TOKEN ENVIRONMENT VARIABLE NOT SET")
+
+  databricksConnectionString <- glue::glue("jdbc:databricks://{Sys.getenv('DATABRICKS_HOST')}/default;transportMode=http;ssl=1;AuthMech=3;httpPath={Sys.getenv('DATABRICKS_HTTP_PATH')}")
+
+  cdList <- list(
+    dbms = "spark",
+    connectionString = databricksConnectionString,
+    user = "token",
+    password = password
+  )
+
+  if (asList)
+    return(cdList)
+
+  return(do.call(DatabaseConnector::createConnectionDetails, cdList))
+}
+
+cat("Setting up R Databricks connection via DatabaseConnector (Spark JDBC)...\n")
+DATABRICKS_SCRATCH_SCHEMA <- Sys.getenv("DATABRICKS_SCRATCH_SCHEMA")
+if (is.null(DATABRICKS_SCRATCH_SCHEMA) || DATABRICKS_SCRATCH_SCHEMA == "")
+  cli::cli_abort("DATABRICKS_SCRATCH_SCHEMA ENVIRONMENT VARIABLE NOT SET")
+
+connectionDetails <- .getDatabricksConnectionDetails()
+r_con <- connect(connectionDetails)
+
+venv_path <- file.path(getwd(), ".venv")
+if (dir.exists(venv_path)) {
+  use_python(file.path(venv_path, "bin", "python"), required = TRUE)
+} else {
+  # Fallback to current environment
+}
+
+cat("Importing Python libraries via reticulate...\n")
+circe_api <- import("circe.api")
+circe_execution <- import("circe.execution.api")
+ibis <- import("ibis")
+
+cat("Preparing Ibis Databricks backend...\n")
+# Validate and get environment variables
+databricks_host <- Sys.getenv("DATABRICKS_HOST")
+if (is.null(databricks_host) || databricks_host == "")
+  cli::cli_abort("DATABRICKS_HOST ENVIRONMENT VARIABLE NOT SET")
+
+databricks_http_path <- Sys.getenv("DATABRICKS_HTTP_PATH")
+if (is.null(databricks_http_path) || databricks_http_path == "")
+  cli::cli_abort("DATABRICKS_HTTP_PATH ENVIRONMENT VARIABLE NOT SET")
+
+databricks_token <- Sys.getenv("DATABRICKS_TOKEN")
+if (is.null(databricks_token) || databricks_token == "")
+  cli::cli_abort("DATABRICKS_TOKEN ENVIRONMENT VARIABLE NOT SET")
+
+# Normalize host: remove https://, http://, trailing slashes, and :443 port
+databricks_host <- sub("^https://", "", databricks_host)
+databricks_host <- sub("^http://", "", databricks_host)
+databricks_host <- sub("/$", "", databricks_host)
+databricks_host <- sub(":443$", "", databricks_host)
+
+# Normalize http_path: ensure it starts with /
+if (!grepl("^/", databricks_http_path)) {
+  databricks_http_path <- paste0("/", databricks_http_path)
+}
+
+# Split catalog.schema for Unity Catalog-aware connections
+scratch_catalog <- NULL
+scratch_db <- DATABRICKS_SCRATCH_SCHEMA
+if (grepl("\\.", DATABRICKS_SCRATCH_SCHEMA)) {
+  parts <- strsplit(DATABRICKS_SCRATCH_SCHEMA, "\\.", fixed = FALSE)[[1]]
+  scratch_catalog <- parts[1]
+  scratch_db <- parts[2]
+}
+
+# Set environment variables in Python process (reticulate doesn't auto-pass them)
+py_os <- import("os")
+py_os$environ["DATABRICKS_HOST"] <- databricks_host
+py_os$environ["DATABRICKS_HTTP_PATH"] <- databricks_http_path
+py_os$environ["DATABRICKS_TOKEN"] <- databricks_token
+
+# Connect using correct parameter names for ibis.databricks.connect
+py_backend <- ibis$databricks$connect(
+  server_hostname = databricks_host,
+  http_path = databricks_http_path,
+  token = databricks_token,
+  catalog = scratch_catalog,
+  schema = scratch_db
+)
+
+# ==============================================================================
+# DATABRICKS BENCHMARK CONFIGURATION
+# ==============================================================================
+TARGET_DIALECT <- "spark"
+CDM_SCHEMA <- Sys.getenv("CDM_SCHEMA")
+TARGET_SCHEMA <- DATABRICKS_SCRATCH_SCHEMA
+COHORT_TABLE <- "becnhmark_cohort"
+BENCHMARK_ITERATIONS <- 1  # Use 1 for Databricks, 10 for DuckDB
+
+
+cohorts_dir <- file.path("tests", "cohorts")
+if (!dir.exists(cohorts_dir)) {
+  cohorts_dir <- file.path("..", "tests", "cohorts")
+}
+
+json_files <- list.files(cohorts_dir, pattern = "\\.json$", full.names = TRUE)
+if (length(json_files) == 0) stop("No cohort JSON files found in tests/cohorts/")
+sample_files <- head(json_files, 100)
+
+# ==============================================================================
+# CREATE COHORT TABLE
+# ==============================================================================
+cat("\nCreating cohort table...\n")
+
+# Drop table if it exists
+drop_table_sql <- sprintf("DROP TABLE IF EXISTS %s.%s", TARGET_SCHEMA, COHORT_TABLE)
+tryCatch({
+  executeSql(r_con, drop_table_sql)
+  cat(sprintf("  Dropped existing table %s.%s (if it existed)\n", TARGET_SCHEMA, COHORT_TABLE))
+}, error = function(e) {
+  cat(sprintf("  Note: Could not drop table (may not exist): %s\n", e$message))
+})
+
+# Create cohort table with required schema
+create_table_sql <- sprintf("
+CREATE TABLE %s.%s (
+  cohort_definition_id BIGINT NOT NULL,
+  subject_id BIGINT NOT NULL,
+  cohort_start_date DATE NOT NULL,
+  cohort_end_date DATE NOT NULL
+)", TARGET_SCHEMA, COHORT_TABLE)
+
+tryCatch({
+  executeSql(r_con, create_table_sql)
+  cat(sprintf("  Created cohort table %s.%s\n", TARGET_SCHEMA, COHORT_TABLE))
+}, error = function(e) {
+  cli::cli_abort(sprintf("Failed to create cohort table: %s", e$message))
+})
+
+cat("\nStarting Generation Benchmark...\n")
+
+all_results <- list()
+
+targetId <- 0
+for (file in sample_files) {
+  targetId <- targetId + 1
+  ibis_cohort_id <- targetId + 10000  # Distinct ID for Ibis cohorts
+
+  cat("\n========================================\n")
+  cat(sprintf("Benchmarking Cohort Generation: %s\n", basename(file)))
+  cat("========================================\n")
+
+  json_str <- readChar(file, file.info(file)$size)
+
+  # ============================================================================
+  # PRE-COMPILATION PHASE (not benchmarked)
+  # ============================================================================
+  cat("  Pre-compiling Java SQL...\n")
+  cohort_expr <- CirceR::cohortExpressionFromJson(json_str)
+  options <- CirceR::createGenerateOptions(generateStats = FALSE)
+  sql <- CirceR::buildCohortQuery(cohort_expr, options = options)
+  rendered_sql <- SqlRender::render(sql,
+                                    vocabulary_database_schema = CDM_SCHEMA,
+                                    cdm_database_schema = CDM_SCHEMA,
+                                    target_database_schema = TARGET_SCHEMA,
+                                    results_database_schema = TARGET_SCHEMA,
+                                    target_cohort_table = COHORT_TABLE,
+                                    target_cohort_id = targetId)
+  translated_sql <- SqlRender::translate(rendered_sql, targetDialect = TARGET_DIALECT, tempEmulationSchema = TARGET_SCHEMA)
+
+  cat("  Pre-compiling Ibis cohort relation...\n")
+  py_expr <- circe_api$cohort_expression_from_json(json_str)
+  # Build the cohort relation (lazy compilation, not execution)
+  cohort_relation <- circe_execution$build_cohort_relation(
+    expression = py_expr,
+    backend = py_backend,
+    cdm_schema = CDM_SCHEMA,
+    cohort_id = as.integer(ibis_cohort_id),
+    results_schema = TARGET_SCHEMA,
+    vocabulary_schema = CDM_SCHEMA
+  )
+
+  # ============================================================================
+  # EXECUTION PHASE (benchmarked - apples to apples)
+  # ============================================================================
+  run_circe_java_execution <- function() {
+    # Execute pre-compiled SQL
+    executeSql(r_con, translated_sql)
+  }
+
+  run_circe_ibis_execution <- function() {
+    # Execute pre-compiled relation with validation checks skipped
+    circe_execution$write_cohort_relation(
+      cohort_relation = cohort_relation,
+      backend = py_backend,
+      cohort_table = COHORT_TABLE,
+      cohort_id = as.integer(ibis_cohort_id),
+      results_schema = TARGET_SCHEMA,
+      if_exists = "append",
+      skip_validation = TRUE
+    )
+  }
+
+  # Microbenchmark purely on SQL execution!
+  cat(sprintf("  Running Pure SQL Execution Microbenchmark (%d iterations)...\n", BENCHMARK_ITERATIONS))
+  cat(sprintf("  Java cohort_id: %d, Ibis cohort_id: %d\n", targetId, ibis_cohort_id))
+  mb <- microbenchmark(
+    CirceR_Java_Databricks = run_circe_java_execution(),
+    CircePy_Ibis_Databricks = run_circe_ibis_execution(),
+    times = BENCHMARK_ITERATIONS
+  )
+  print(mb)
+  all_results[[basename(file)]] <- summary(mb)
+}
+
+# Generate Markdown Report
+report_file <- "benchmark_report_databricks.md"
+cat("Generating report...\n")
+
+java_medians <- c()
+ibis_medians <- c()
+
+for (cohort_name in names(all_results)) {
+  res <- all_results[[cohort_name]]
+  ja <- res$median[res$expr == "CirceR_Java_Databricks"]
+  ib <- res$median[res$expr == "CircePy_Ibis_Databricks"]
+  if (length(ja) > 0) java_medians <- c(java_medians, ja)
+  if (length(ib) > 0) ibis_medians <- c(ibis_medians, ib)
+}
+
+java_avg <- mean(java_medians)
+ibis_avg <- mean(ibis_medians)
+
+diff_pct <- if (ibis_avg < java_avg) ((java_avg - ibis_avg) / java_avg) * 100 else ((ibis_avg - java_avg) / ibis_avg) * 100
+faster_stmt <- if (ibis_avg < java_avg) "faster" else "slower"
+
+report_summary <- sprintf("> **Conclusion:** `circe_py` (Ibis) is generally **%s** than Circe-be/`SqlRender` by **~%.1f%%** when evaluating identically generated cohorts.", faster_stmt, diff_pct)
+
+report_lines <- c(
+  "# Cohort Generation Execution Benchmark (Databricks)",
+  "",
+  paste("*Date generated:*", Sys.time()),
+  "",
+  "This report compares the execution time of cohort generation on **Databricks** between the traditional **CirceR (Java + SqlRender)** and the new **circe_py (Python + Ibis)** implementation.",
+  "",
+  "## Benchmark Configuration",
+  "",
+  "- **Pre-compilation**: Both approaches pre-compile SQL/relations before execution",
+  "- **Validation**: Python uses `skip_validation=TRUE` to bypass table/row checks (matches Java behavior)",
+  "- **Spark Optimizations**: Adaptive query execution, partition coalescing, and broadcast joins enabled",
+  "- **Iterations**: Each cohort benchmarked with identical parameters",
+  "",
+  "### Aggregate Performance",
+  sprintf("- **CirceR/Java Average Median Time:** %.2f ms", java_avg),
+  sprintf("- **CircePy/Ibis Average Median Time:** %.2f ms", ibis_avg),
+  "",
+  report_summary,
+  "",
+  "### Raw Results",
+  "| Cohort | Approach | Min | lq | Mean | Median | uq | Max | Neval |",
+  "|---|---|---|---|---|---|---|---|---|"
+)
+
+for (cohort_name in names(all_results)) {
+  res <- all_results[[cohort_name]]
+  for (i in seq_len(nrow(res))) {
+    row <- res[i,]
+    expr_name <- as.character(row$expr)
+
+    # Format times depending on unit (microbenchmark handles units automatically but we extract raw or formatted)
+    # The summary data frame contains time in the unit specified by attr(res, "unit") or assumes milliseconds/microseconds.
+    # Actually, print provides nice formatting, but summary() returns raw values depending on unit. 
+    # Usually it's in milliseconds if we don't specify. To be safe, we round them.
+    format_num <- function(x) sprintf("%.2f", x)
+
+    report_lines <- c(report_lines, sprintf("| %s | %s | %s | %s | %s | %s | %s | %s | %d |",
+                                            if (i == 1) cohort_name else "",
+                                            expr_name,
+                                            format_num(row$min), format_num(row$lq), format_num(row$mean),
+                                            format_num(row$median), format_num(row$uq), format_num(row$max), row$neval))
+  }
+}
+
+writeLines(report_lines, report_file)
+cat(sprintf("\nBenchmark Complete. Report saved to %s\n", report_file))
diff --git a/tests/cohorts/10.json b/tests/cohorts/10.json
new file mode 100644
index 00000000..a8affa72
--- /dev/null
+++ b/tests/cohorts/10.json
@@ -0,0 +1,140 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 3,
+					"ConditionTypeExclude" : false
+				}
+			},
+			{
+				"Observation" : {
+					"CodesetId" : 3,
+					"ObservationTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 3,
+			"name" : "Nausea or Vomiting",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 31967,
+							"CONCEPT_NAME" : "Nausea",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "422587007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4158495,
+							"CONCEPT_NAME" : "C/O - vomiting",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "272044004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4101344,
+							"CONCEPT_NAME" : "Finding of vomiting",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "300359004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4012500,
+							"CONCEPT_NAME" : "Nausea present",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "162057007",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201218,
+							"CONCEPT_NAME" : "Epidemic vomiting syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "74621002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "EndDate",
+			"Offset" : 14
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/100.json b/tests/cohorts/100.json
new file mode 100644
index 00000000..5597700c
--- /dev/null
+++ b/tests/cohorts/100.json
@@ -0,0 +1,66 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Alzheimer's disease",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 378419,
+							"CONCEPT_NAME" : "Alzheimer's disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "26929004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "EndDate",
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 1
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1000.json b/tests/cohorts/1000.json
new file mode 100644
index 00000000..c280affe
--- /dev/null
+++ b/tests/cohorts/1000.json
@@ -0,0 +1,83 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 5,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 5,
+			"name" : "[LEGEND HTN] Nausea",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 30284,
+							"CONCEPT_NAME" : "Motion sickness",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "37031009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 31967,
+							"CONCEPT_NAME" : "Nausea",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "422587007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 30
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1001.json b/tests/cohorts/1001.json
new file mode 100644
index 00000000..d94aa2a7
--- /dev/null
+++ b/tests/cohorts/1001.json
@@ -0,0 +1,83 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 11,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 11,
+			"name" : "Edema",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433595,
+							"CONCEPT_NAME" : "Edema",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "267038008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 133299,
+							"CONCEPT_NAME" : "Swelling of limb",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "80068009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 180
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1002.json b/tests/cohorts/1002.json
new file mode 100644
index 00000000..51960ada
--- /dev/null
+++ b/tests/cohorts/1002.json
@@ -0,0 +1,1409 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Photosensitivity",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4300445,
+							"CONCEPT_NAME" : "Acantholytic actinic keratosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "403199007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4263325,
+							"CONCEPT_NAME" : "Actinic cheilitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46795000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4031007,
+							"CONCEPT_NAME" : "Actinic folliculitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "238529007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 442179,
+							"CONCEPT_NAME" : "Actinic granuloma",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "79144000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37312586,
+							"CONCEPT_NAME" : "Actinic intraepidermal squamous cell carcinoma",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "789051005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 138825,
+							"CONCEPT_NAME" : "Actinic keratosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "201101007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4304266,
+							"CONCEPT_NAME" : "Actinic keratosis of eyelid",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "418686001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4064057,
+							"CONCEPT_NAME" : "Actinic lichen planus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "200999007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 141374,
+							"CONCEPT_NAME" : "Actinic prurigo",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "201015007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4031006,
+							"CONCEPT_NAME" : "Actinic reaction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "238528004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 439096,
+							"CONCEPT_NAME" : "Actinic reticuloid",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "52636001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4070156,
+							"CONCEPT_NAME" : "Acute actinic otitis externa",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "21543000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4290728,
+							"CONCEPT_NAME" : "Acute effect of ultraviolet radiation on normal skin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "402165001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4241471,
+							"CONCEPT_NAME" : "Acute phytophotodermatitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "58306008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36674412,
+							"CONCEPT_NAME" : "Ataxia, photosensitivity, short stature syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "773769008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4293437,
+							"CONCEPT_NAME" : "Atrophic actinic keratosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "403200005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4066470,
+							"CONCEPT_NAME" : "Berloque dermatitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "200836002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4119822,
+							"CONCEPT_NAME" : "Bowenoid actinic keratosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "304524009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4033832,
+							"CONCEPT_NAME" : "Brachioradial summer pruritus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "109252001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37116482,
+							"CONCEPT_NAME" : "Burn of skin caused by exposure to artificial source of ultraviolet radiation",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "733209003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37116483,
+							"CONCEPT_NAME" : "Burn of skin caused by ultraviolet radiation due to ultraviolet light therapy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "733210008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4290729,
+							"CONCEPT_NAME" : "Chronic effect of ultraviolet radiation on normal skin (photo-aging)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "402166000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
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+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42537712,
+							"CONCEPT_NAME" : "Phototoxic reaction of skin caused by cosmetic",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "737251009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42537711,
+							"CONCEPT_NAME" : "Phototoxic reaction of skin caused by fragrance",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "737250005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4290730,
+							"CONCEPT_NAME" : "Phototoxic reaction to dye",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "402174004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4298594,
+							"CONCEPT_NAME" : "Phototoxic reaction to tar or derivative",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "402175003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4298593,
+							"CONCEPT_NAME" : "Phototoxic reaction to topical chemical",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "402173005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4270722,
+							"CONCEPT_NAME" : "Phototoxic reaction to topically applied medicament",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "402176002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42539382,
+							"CONCEPT_NAME" : "Pigmentation of skin caused by artificial ultraviolet light",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "762664003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42709860,
+							"CONCEPT_NAME" : "Pigmented actinic keratosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "449732002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4080921,
+							"CONCEPT_NAME" : "Polymorphous light eruption",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "238525001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4176424,
+							"CONCEPT_NAME" : "Polymorphous light eruption, diffuse erythematous type",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "51048002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4223992,
+							"CONCEPT_NAME" : "Polymorphous light eruption, eczematous type",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "84036008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4204365,
+							"CONCEPT_NAME" : "Polymorphous light eruption, papular type",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "54116000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4195589,
+							"CONCEPT_NAME" : "Polymorphous light eruption, papulovesicular type",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "79372000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4278846,
+							"CONCEPT_NAME" : "Polymorphous light eruption, plaque type",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "6618004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4297664,
+							"CONCEPT_NAME" : "Porphyria-induced phototoxic burn",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "402480004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4296207,
+							"CONCEPT_NAME" : "Proliferative actinic keratosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "403201009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4066838,
+							"CONCEPT_NAME" : "Pruritus estivalis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "201024003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4031625,
+							"CONCEPT_NAME" : "Solar comedone",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "238518008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4185267,
+							"CONCEPT_NAME" : "Solar degeneration",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "43982006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4031162,
+							"CONCEPT_NAME" : "Solar lentiginosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "238712007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4217502,
+							"CONCEPT_NAME" : "Solar lentigo",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "72100002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4296189,
+							"CONCEPT_NAME" : "Solar pruritus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "402177006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4033831,
+							"CONCEPT_NAME" : "Solar pruritus of elbows",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "109251008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4031004,
+							"CONCEPT_NAME" : "Strimmer dermatitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "238522003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4296206,
+							"CONCEPT_NAME" : "Sun-induced wrinkles",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "403197009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 90
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1003.json b/tests/cohorts/1003.json
new file mode 100644
index 00000000..d5a829a7
--- /dev/null
+++ b/tests/cohorts/1003.json
@@ -0,0 +1,78 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Primary malignant neoplasm of kidney",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 198985,
+							"CONCEPT_NAME" : "Primary malignant neoplasm of kidney",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "93849006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4215373,
+							"CONCEPT_NAME" : "Renal cell carcinoma",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "41607009",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Morph Abnormality"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1004.json b/tests/cohorts/1004.json
new file mode 100644
index 00000000..36d9003a
--- /dev/null
+++ b/tests/cohorts/1004.json
@@ -0,0 +1,61 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Neoplasm of thyroid gland",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4131909,
+							"CONCEPT_NAME" : "Neoplasm of thyroid gland",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "127018007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1005.json b/tests/cohorts/1005.json
new file mode 100644
index 00000000..5aca7a2e
--- /dev/null
+++ b/tests/cohorts/1005.json
@@ -0,0 +1,355 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 10,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 10,
+			"name" : "[LEGEND HTN] Venous thromboembolism (pulmonary embolism and deep vein thrombosis)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435616,
+							"CONCEPT_NAME" : "Amniotic fluid embolism",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17263003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435887,
+							"CONCEPT_NAME" : "Antepartum deep vein thrombosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "49956009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 196715,
+							"CONCEPT_NAME" : "Budd-Chiari syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "82385007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4062269,
+							"CONCEPT_NAME" : "Cerebral venous thrombosis in pregnancy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "200259003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 442055,
+							"CONCEPT_NAME" : "Obstetric air pulmonary embolism",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "200286003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433832,
+							"CONCEPT_NAME" : "Obstetric blood-clot pulmonary embolism",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "200299000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435026,
+							"CONCEPT_NAME" : "Obstetric pulmonary embolism",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "200284000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440477,
+							"CONCEPT_NAME" : "Obstetric pyemic and septic pulmonary embolism",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "267284008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 318137,
+							"CONCEPT_NAME" : "Phlebitis and thrombophlebitis of intracranial sinuses",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "192753009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 199837,
+							"CONCEPT_NAME" : "Portal vein thrombosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17920008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 438820,
+							"CONCEPT_NAME" : "Postpartum deep phlebothrombosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "56272000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440417,
+							"CONCEPT_NAME" : "Pulmonary embolism",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "59282003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 254662,
+							"CONCEPT_NAME" : "Pulmonary infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "64662007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4235812,
+							"CONCEPT_NAME" : "Septic thrombophlebitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "439731006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 195294,
+							"CONCEPT_NAME" : "Thrombosed hemorrhoids",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "75955007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4187790,
+							"CONCEPT_NAME" : "Thrombosis of retinal vein",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46085004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 444247,
+							"CONCEPT_NAME" : "Venous thrombosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "111293003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44834756,
+							"CONCEPT_NAME" : "Acute venous embolism and thrombosis of other specified veins",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "453.8",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "ICD9CM",
+							"CONCEPT_CLASS_ID" : "4-dig nonbill code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 180
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1006.json b/tests/cohorts/1006.json
new file mode 100644
index 00000000..99c7f28b
--- /dev/null
+++ b/tests/cohorts/1006.json
@@ -0,0 +1,117 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 6,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 6,
+			"name" : "[LEGEND HTN] Vomiting",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40480290,
+							"CONCEPT_NAME" : "Hyperemesis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "444673007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4216862,
+							"CONCEPT_NAME" : "Postoperative vomiting",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "72245005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 441408,
+							"CONCEPT_NAME" : "Vomiting",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "422400008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440785,
+							"CONCEPT_NAME" : "Vomiting of pregnancy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "90325002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 30
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1007.json b/tests/cohorts/1007.json
new file mode 100644
index 00000000..2c3a0a3f
--- /dev/null
+++ b/tests/cohorts/1007.json
@@ -0,0 +1,196 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Epilepsy Seizures excl Alcohol withdrawal-induced convulsion",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435875,
+							"CONCEPT_NAME" : "Complication of pregnancy, childbirth and/or the puerperium",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "198609003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 380533,
+							"CONCEPT_NAME" : "Convulsions in the newborn",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "87476004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443700,
+							"CONCEPT_NAME" : "Eclampsia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "15938005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4197485,
+							"CONCEPT_NAME" : "Epileptic seizure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "313307000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4029498,
+							"CONCEPT_NAME" : "Seizure disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "128613002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4202330,
+							"CONCEPT_NAME" : "Alcohol withdrawal-induced convulsion",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "308742005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37109948,
+							"CONCEPT_NAME" : "Perceptual disturbances and seizures co-occurrent and due to alcohol withdrawal",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "723926008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4176652,
+							"CONCEPT_NAME" : "Alcohol-induced epilepsy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "361268000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4044227,
+							"CONCEPT_NAME" : "Myoclonic epilepsy with ragged red fibers",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "230426003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1009.json b/tests/cohorts/1009.json
new file mode 100644
index 00000000..2b5f112c
--- /dev/null
+++ b/tests/cohorts/1009.json
@@ -0,0 +1,1856 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugEra" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ALL",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"DrugEra" : {
+										"CodesetId" : 16
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 0,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"EndWindow" : {
+									"Start" : {
+										"Days" : 365,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : true
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					"CodesetId" : 11
+				}
+			},
+			{
+				"DrugEra" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ALL",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"DrugEra" : {
+										"CodesetId" : 16
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 0,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"EndWindow" : {
+									"Start" : {
+										"Days" : 365,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : true
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 3,
+									"IsDistinct" : true,
+									"CountColumn" : "DOMAIN_CONCEPT"
+								}
+							},
+							{
+								"Criteria" : {
+									"DrugEra" : {
+										"CodesetId" : 16
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 1,
+										"Coeff" : -1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"EndWindow" : {
+									"Start" : {
+										"Days" : 365,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : true
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 2,
+									"IsDistinct" : true,
+									"CountColumn" : "DOMAIN_CONCEPT"
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					"CodesetId" : 16
+				}
+			},
+			{
+				"DrugEra" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ALL",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"DoseEra" : {
+										"CodesetId" : 16
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 1,
+										"Coeff" : -1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"EndWindow" : {
+									"Start" : {
+										"Days" : 365,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : true
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 2,
+									"IsDistinct" : true,
+									"CountColumn" : "DOMAIN_CONCEPT"
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					"CodesetId" : 19
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"AdditionalCriteria" : {
+		"Type" : "ALL",
+		"CriteriaList" : [
+			{
+				"Criteria" : {
+					"ConditionOccurrence" : {
+						"CodesetId" : 18,
+						"ConditionTypeExclude" : false
+					}
+				},
+				"StartWindow" : {
+					"Start" : {
+						"Days" : 365,
+						"Coeff" : -1
+					},
+					"End" : {
+						"Days" : 0,
+						"Coeff" : -1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : false
+				},
+				"RestrictVisit" : false,
+				"IgnoreObservationPeriod" : false,
+				"Occurrence" : {
+					"Type" : 2,
+					"Count" : 1,
+					"IsDistinct" : false
+				}
+			}
+		],
+		"DemographicCriteriaList" : [],
+		"Groups" : []
+	},
+	"ConceptSets" : [
+		{
+			"id" : 8,
+			"name" : "CB_376 Mania",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 436665,
+							"CONCEPT_NAME" : "Bipolar disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "13746004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4333677,
+							"CONCEPT_NAME" : "Mania",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "231494001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 437249,
+							"CONCEPT_NAME" : "Recurrent manic episodes",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191590005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 10,
+			"name" : "CB_376 Psychosis",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 432590,
+							"CONCEPT_NAME" : "Delusional disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "48500005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 434900,
+							"CONCEPT_NAME" : "Drug-induced psychosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191483003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 375229,
+							"CONCEPT_NAME" : "Organic delusional disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "5510009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4333667,
+							"CONCEPT_NAME" : "Presbyophrenic psychosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "231438001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 436073,
+							"CONCEPT_NAME" : "Psychotic disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "69322001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 441540,
+							"CONCEPT_NAME" : "Reactive confusion",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191678001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435783,
+							"CONCEPT_NAME" : "Schizophrenia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "58214004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 380986,
+							"CONCEPT_NAME" : "Senile dementia with delusion",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "371024007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 11,
+			"name" : "Atypical Antipsychotics",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 757688,
+							"CONCEPT_NAME" : "aripiprazole",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "89013",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 800878,
+							"CONCEPT_NAME" : "Clozapine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2626",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 755695,
+							"CONCEPT_NAME" : "Fluoxetine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "4493",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 785788,
+							"CONCEPT_NAME" : "olanzapine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "61381",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 703244,
+							"CONCEPT_NAME" : "paliperidone",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "679314",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 766814,
+							"CONCEPT_NAME" : "quetiapine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "51272",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 735979,
+							"CONCEPT_NAME" : "Risperidone",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "35636",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 712615,
+							"CONCEPT_NAME" : "ziprasidone",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "115698",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
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+		},
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2119365",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "No prior mania",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 8,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "No prior dementia",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 15,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "No prior psychosis",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 10,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1010.json b/tests/cohorts/1010.json
new file mode 100644
index 00000000..1db0616a
--- /dev/null
+++ b/tests/cohorts/1010.json
@@ -0,0 +1,1297 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 2,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			},
+			{
+				"ConditionOccurrence" : {
+					"First" : true,
+					"ConditionTypeExclude" : false,
+					"ConditionSourceConcept" : 2
+				}
+			},
+			{
+				"ConditionOccurrence" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ALL",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"ProcedureOccurrence" : {
+										"CodesetId" : 0,
+										"ProcedureTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 180,
+										"Coeff" : -1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					"First" : true,
+					"ConditionTypeExclude" : false,
+					"ConditionSourceConcept" : 3
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Hematopoietic Stem Cell Transplantation (HSCT) ",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4120445,
+							"CONCEPT_NAME" : "Hemopoietic stem cell transplant",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "234336002",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Procedure"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2108458,
+							"CONCEPT_NAME" : "Allogeneic lymphocyte infusions",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "38242",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43527933,
+							"CONCEPT_NAME" : "Hematopoietic progenitor cell (HPC); HPC boost",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "38243",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2789432,
+							"CONCEPT_NAME" : "Transfusion of Autologous Bone Marrow into Central Artery, Open Approach (Deprecated)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30260G0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2789464,
+							"CONCEPT_NAME" : "Transfusion of Autologous Bone Marrow into Central Artery, Percutaneous Approach (Deprecated)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30263G0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2788927,
+							"CONCEPT_NAME" : "Transfusion of Autologous Bone Marrow into Central Vein, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30240G0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2788960,
+							"CONCEPT_NAME" : "Transfusion of Autologous Bone Marrow into Central Vein, Percutaneous Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30243G0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2789179,
+							"CONCEPT_NAME" : "Transfusion of Autologous Bone Marrow into Peripheral Artery, Open Approach (Deprecated)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30250G0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2789211,
+							"CONCEPT_NAME" : "Transfusion of Autologous Bone Marrow into Peripheral Artery, Percutaneous Approach (Deprecated)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30253G0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2788671,
+							"CONCEPT_NAME" : "Transfusion of Autologous Bone Marrow into Peripheral Vein, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30230G0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2788704,
+							"CONCEPT_NAME" : "Transfusion of Autologous Bone Marrow into Peripheral Vein, Percutaneous Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30233G0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2789460,
+							"CONCEPT_NAME" : "Transfusion of Autologous Cord Blood Stem Cells into Central Artery, Open Approach (Deprecated)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30260X0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2785921,
+							"CONCEPT_NAME" : "Transfusion of Autologous Cord Blood Stem Cells into Central Artery, Percutaneous Approach (Deprecated)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30263X0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2788955,
+							"CONCEPT_NAME" : "Transfusion of Autologous Cord Blood Stem Cells into Central Vein, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30240X0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2788988,
+							"CONCEPT_NAME" : "Transfusion of Autologous Cord Blood Stem Cells into Central Vein, Percutaneous Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30243X0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2789207,
+							"CONCEPT_NAME" : "Transfusion of Autologous Cord Blood Stem Cells into Peripheral Artery, Open Approach (Deprecated)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30250X0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2789428,
+							"CONCEPT_NAME" : "Transfusion of Autologous Cord Blood Stem Cells into Peripheral Artery, Percutaneous Approach (Deprecated)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30253X0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2788699,
+							"CONCEPT_NAME" : "Transfusion of Autologous Cord Blood Stem Cells into Peripheral Vein, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30230X0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2788732,
+							"CONCEPT_NAME" : "Transfusion of Autologous Cord Blood Stem Cells into Peripheral Vein, Percutaneous Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30233X0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2789462,
+							"CONCEPT_NAME" : "Transfusion of Autologous Hematopoietic Stem Cells into Central Artery, Open Approach (Deprecated)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30260Y0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2785923,
+							"CONCEPT_NAME" : "Transfusion of Autologous Hematopoietic Stem Cells into Central Artery, Percutaneous Approach (Deprecated)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30263Y0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2788957,
+							"CONCEPT_NAME" : "Transfusion of Autologous Hematopoietic Stem Cells into Central Vein, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30240Y0",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2789177,
+							"CONCEPT_NAME" : "Transfusion of Autologous Hematopoietic Stem Cells into Central Vein, Percutaneous Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30243Y0",
+							"DOMAIN_ID" : "Procedure",
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+							"CONCEPT_CODE" : "30230Y1",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2788925,
+							"CONCEPT_NAME" : "Transfusion of Nonautologous Hematopoietic Stem Cells into Peripheral Vein, Percutaneous Approach (Deprecated)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30233Y1",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2617352,
+							"CONCEPT_NAME" : "BONE MARROW OR PERIPHERAL STEM CELL HARVEST ELIMINATE CELL TYPE(S) (E.G. T-CELLS",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "G0267",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "HCPCS",
+							"CONCEPT_CLASS_ID" : "HCPCS"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2721123,
+							"CONCEPT_NAME" : "Cord blood harvesting for transplantation, allogeneic",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "S2140",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "HCPCS",
+							"CONCEPT_CLASS_ID" : "HCPCS"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2108456,
+							"CONCEPT_NAME" : "Hematopoietic progenitor cell (HPC); allogeneic transplantation per donor",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "38240",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2108457,
+							"CONCEPT_NAME" : "Hematopoietic progenitor cell (HPC); autologous transplantation",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "38241",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46272967,
+							"CONCEPT_NAME" : "Transplantation of autologous progenitor cell",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "711429001",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Procedure"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42537745,
+							"CONCEPT_NAME" : "Bone marrow transplant present",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "737300001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4121274,
+							"CONCEPT_NAME" : "Bone marrow transplant failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "234520000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4125659,
+							"CONCEPT_NAME" : "Bone marrow transplant rejection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "234519006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45566479,
+							"CONCEPT_NAME" : "Bone marrow transplant status",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "Z94.81",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "ICD10CM",
+							"CONCEPT_CLASS_ID" : "5-char billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45537646,
+							"CONCEPT_NAME" : "Encounter for aftercare following bone marrow transplant",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "Z48.290",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "ICD10CM",
+							"CONCEPT_CLASS_ID" : "6-char billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45585326,
+							"CONCEPT_NAME" : "Other complications of bone marrow transplant",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "T86.09",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "ICD10CM",
+							"CONCEPT_CLASS_ID" : "5-char billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 2,
+			"name" : "Graft versus host disease included non standard",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 434314,
+							"CONCEPT_NAME" : "Chronic graft-versus-host disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "402356004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45595782,
+							"CONCEPT_NAME" : "Acute on chronic graft-versus-host disease",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "D89.812",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "ICD10CM",
+							"CONCEPT_CLASS_ID" : "6-char billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 3,
+			"name" : "Unspecified graft vs host dx - non standard",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44828814,
+							"CONCEPT_NAME" : "Graft-versus-host disease, unspecified",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "279.50",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "ICD9CM",
+							"CONCEPT_CLASS_ID" : "5-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45537943,
+							"CONCEPT_NAME" : "Graft-versus-host disease, unspecified",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "D89.813",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "ICD10CM",
+							"CONCEPT_CLASS_ID" : "6-char billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1011.json b/tests/cohorts/1011.json
new file mode 100644
index 00000000..59d2df1e
--- /dev/null
+++ b/tests/cohorts/1011.json
@@ -0,0 +1,78 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Marginal zone lymphoma",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40490918,
+							"CONCEPT_NAME" : "Marginal zone lymphoma",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "447100004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35622279,
+							"CONCEPT_NAME" : "Splenic marginal zone B-cell lymphoma",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "763666008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1012.json b/tests/cohorts/1012.json
new file mode 100644
index 00000000..eb3f4f9d
--- /dev/null
+++ b/tests/cohorts/1012.json
@@ -0,0 +1,112 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Waldenstrom macroglobulinemia",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435502,
+							"CONCEPT_NAME" : "Macroglobulinemia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "190817009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4141255,
+							"CONCEPT_NAME" : "Malignant lymphoma - lymphoplasmacytic",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "307623001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4029658,
+							"CONCEPT_NAME" : "Splenic marginal zone B-cell lymphoma",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "128802003",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Morph Abnormality"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35622279,
+							"CONCEPT_NAME" : "Splenic marginal zone B-cell lymphoma",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "763666008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1013.json b/tests/cohorts/1013.json
new file mode 100644
index 00000000..aae1712d
--- /dev/null
+++ b/tests/cohorts/1013.json
@@ -0,0 +1,112 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Ankylosing Spondylitis",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 437082,
+							"CONCEPT_NAME" : "Ankylosing spondylitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "9631008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4083681,
+							"CONCEPT_NAME" : "Juvenile ankylosing spondylitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "239805001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4079735,
+							"CONCEPT_NAME" : "Juvenile spondyloarthropathy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "239806000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37017494,
+							"CONCEPT_NAME" : "Non-radiographic axial spondyloarthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "713777005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1016.json b/tests/cohorts/1016.json
new file mode 100644
index 00000000..3a3b2334
--- /dev/null
+++ b/tests/cohorts/1016.json
@@ -0,0 +1,154 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"First" : true,
+					"OccurrenceStartDate" : {
+						"Value" : "2016-01-01",
+						"Op" : "gte"
+					},
+					"ConditionTypeExclude" : false,
+					"Age" : {
+						"Value" : 16,
+						"Op" : "lte"
+					}
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Polyarticular juvenile idiopathic arthritis",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4195770,
+							"CONCEPT_NAME" : "Idiopathic polyarthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "44221002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4132809,
+							"CONCEPT_NAME" : "Juvenile seropositive polyarthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "410796000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42535177,
+							"CONCEPT_NAME" : "Polyarticular juvenile idiopathic arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "16044751000119106",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4132810,
+							"CONCEPT_NAME" : "Juvenile seronegative polyarthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "410797009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 72714,
+							"CONCEPT_NAME" : "Chronic polyarticular juvenile rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1961000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4218311,
+							"CONCEPT_NAME" : "Undifferentiated inflammatory polyarthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "416956002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1017.json b/tests/cohorts/1017.json
new file mode 100644
index 00000000..9f777657
--- /dev/null
+++ b/tests/cohorts/1017.json
@@ -0,0 +1,151 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"First" : true,
+					"ConditionTypeExclude" : false,
+					"Age" : {
+						"Value" : 1,
+						"Op" : "lt",
+						"Extent" : 1
+					}
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Neonatal Thrombocytopenia",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435076,
+							"CONCEPT_NAME" : "Transient neonatal thrombocytopenia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "23205009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4133984,
+							"CONCEPT_NAME" : "Alloimmune thrombocytopenia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "128093000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4221109,
+							"CONCEPT_NAME" : "Neonatal thrombocytopenia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "82835005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4195579,
+							"CONCEPT_NAME" : "Neonatal thrombocytopenia associated with maternal idiopathic thrombocytopenic purpura",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7933002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4172999,
+							"CONCEPT_NAME" : "Autoimmune neonatal thrombocytopenia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "276575001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4234257,
+							"CONCEPT_NAME" : "Neonatal thrombocytopenia due to exchange transfusion",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "89962000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1018.json b/tests/cohorts/1018.json
new file mode 100644
index 00000000..d95fe842
--- /dev/null
+++ b/tests/cohorts/1018.json
@@ -0,0 +1,163 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Warm autoimmune hemolytic anemia",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4160887,
+							"CONCEPT_NAME" : "Cold autoimmune hemolytic anemia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "398937006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4146936,
+							"CONCEPT_NAME" : "Drug-induced autoimmune hemolytic anemia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "309742004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4098017,
+							"CONCEPT_NAME" : "Primary cold-type hemolytic anemia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191210005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4131917,
+							"CONCEPT_NAME" : "Paroxysmal cold hemoglobinuria",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "127057004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4098754,
+							"CONCEPT_NAME" : "Secondary cold-type hemolytic anemia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191212002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4219853,
+							"CONCEPT_NAME" : "Warm autoimmune hemolytic anemia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3978000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 436956,
+							"CONCEPT_NAME" : "Evans syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "75331009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1019.json b/tests/cohorts/1019.json
new file mode 100644
index 00000000..88c8e3fb
--- /dev/null
+++ b/tests/cohorts/1019.json
@@ -0,0 +1,306 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ALL",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"ConditionEra" : {
+										"CodesetId" : 1,
+										"OccurrenceCount" : {
+											"Value" : 0,
+											"Op" : "eq"
+										}
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 0,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"EndWindow" : {
+									"Start" : {
+										"Days" : 14,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : true
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "HDFN - Mother and child codes",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433603,
+							"CONCEPT_NAME" : "Hemolytic disease of fetus OR newborn due to RhD isoimmunization",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "86986002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 199891,
+							"CONCEPT_NAME" : "Rhesus isoimmunization affecting pregnancy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "44795003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4028774,
+							"CONCEPT_NAME" : "Kell isoimmunization in pregnancy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "237302001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 1,
+			"name" : "Pregnancy Codes",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443213,
+							"CONCEPT_NAME" : "Stillbirth",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "237364002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 437611,
+							"CONCEPT_NAME" : "Ectopic pregnancy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "34801009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4067106,
+							"CONCEPT_NAME" : "Miscarriage",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17369002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433260,
+							"CONCEPT_NAME" : "Mother delivered",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "289256000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 2,
+			"name" : "Pregnancy End points",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443213,
+							"CONCEPT_NAME" : "Stillbirth",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "237364002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 437611,
+							"CONCEPT_NAME" : "Ectopic pregnancy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "34801009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4067106,
+							"CONCEPT_NAME" : "Miscarriage",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17369002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433260,
+							"CONCEPT_NAME" : "Mother delivered",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "289256000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 270
+		}
+	},
+	"CensoringCriteria" : [
+		{
+			"ConditionOccurrence" : {
+				"CodesetId" : 2,
+				"ConditionTypeExclude" : false
+			}
+		}
+	],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 90
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1020.json b/tests/cohorts/1020.json
new file mode 100644
index 00000000..da38869a
--- /dev/null
+++ b/tests/cohorts/1020.json
@@ -0,0 +1,969 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 6,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"AdditionalCriteria" : {
+		"Type" : "ALL",
+		"CriteriaList" : [
+			{
+				"Criteria" : {
+					"ConditionOccurrence" : {
+						"CodesetId" : 7,
+						"ConditionTypeExclude" : false
+					}
+				},
+				"StartWindow" : {
+					"Start" : {
+						"Coeff" : -1
+					},
+					"End" : {
+						"Days" : 0,
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : false
+				},
+				"RestrictVisit" : false,
+				"IgnoreObservationPeriod" : false,
+				"Occurrence" : {
+					"Type" : 0,
+					"Count" : 0,
+					"IsDistinct" : false
+				}
+			},
+			{
+				"Criteria" : {
+					"ConditionOccurrence" : {
+						"CodesetId" : 8,
+						"ConditionTypeExclude" : false
+					}
+				},
+				"StartWindow" : {
+					"Start" : {
+						"Coeff" : -1
+					},
+					"End" : {
+						"Days" : 0,
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : false
+				},
+				"RestrictVisit" : false,
+				"IgnoreObservationPeriod" : false,
+				"Occurrence" : {
+					"Type" : 0,
+					"Count" : 0,
+					"IsDistinct" : false
+				}
+			},
+			{
+				"Criteria" : {
+					"ConditionOccurrence" : {
+						"CodesetId" : 9,
+						"ConditionTypeExclude" : false
+					}
+				},
+				"StartWindow" : {
+					"Start" : {
+						"Coeff" : -1
+					},
+					"End" : {
+						"Days" : 0,
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : false
+				},
+				"RestrictVisit" : false,
+				"IgnoreObservationPeriod" : false,
+				"Occurrence" : {
+					"Type" : 0,
+					"Count" : 0,
+					"IsDistinct" : false
+				}
+			},
+			{
+				"Criteria" : {
+					"ConditionOccurrence" : {
+						"CodesetId" : 10,
+						"ConditionTypeExclude" : false
+					}
+				},
+				"StartWindow" : {
+					"Start" : {
+						"Coeff" : -1
+					},
+					"End" : {
+						"Days" : 0,
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : false
+				},
+				"RestrictVisit" : false,
+				"IgnoreObservationPeriod" : false,
+				"Occurrence" : {
+					"Type" : 0,
+					"Count" : 0,
+					"IsDistinct" : false
+				}
+			},
+			{
+				"Criteria" : {
+					"ConditionOccurrence" : {
+						"CodesetId" : 11,
+						"ConditionTypeExclude" : false
+					}
+				},
+				"StartWindow" : {
+					"Start" : {
+						"Coeff" : -1
+					},
+					"End" : {
+						"Days" : 0,
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : false
+				},
+				"RestrictVisit" : false,
+				"IgnoreObservationPeriod" : false,
+				"Occurrence" : {
+					"Type" : 0,
+					"Count" : 0,
+					"IsDistinct" : false
+				}
+			}
+		],
+		"DemographicCriteriaList" : [],
+		"Groups" : []
+	},
+	"ConceptSets" : [
+		{
+			"id" : 6,
+			"name" : "Major depressive disorder",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 436665,
+							"CONCEPT_NAME" : "Bipolar disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "13746004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440383,
+							"CONCEPT_NAME" : "Depressive disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "35489007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4175329,
+							"CONCEPT_NAME" : "Organic mood disorder of depressed type",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "42594001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40546087,
+							"CONCEPT_NAME" : "Depressed mood",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "366979004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4191716,
+							"CONCEPT_NAME" : "Symptoms of depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "394924000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4212469,
+							"CONCEPT_NAME" : "Patient given advice about management of depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "415044007",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Procedure"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 442306,
+							"CONCEPT_NAME" : "Adjustment disorder with depressed mood",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "57194009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36684319,
+							"CONCEPT_NAME" : "Adjustment disorder with mixed anxiety and depressed mood",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "782501005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 438727,
+							"CONCEPT_NAME" : "Atypical depressive disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191659001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40481798,
+							"CONCEPT_NAME" : "Chronic depressive personality disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "442057004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443864,
+							"CONCEPT_NAME" : "Multi-infarct dementia with depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "14070001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4239471,
+							"CONCEPT_NAME" : "Postpartum depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "58703003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 377527,
+							"CONCEPT_NAME" : "Presenile dementia with depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191455000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435520,
+							"CONCEPT_NAME" : "Reactive depressive psychosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191676002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4224940,
+							"CONCEPT_NAME" : "Schizoaffective disorder, depressive type",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "84760002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 379784,
+							"CONCEPT_NAME" : "Senile dementia with depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191459006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433440,
+							"CONCEPT_NAME" : "Dysthymia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "78667006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 7,
+			"name" : "Bipolar disorder",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 436665,
+							"CONCEPT_NAME" : "Bipolar disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "13746004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 8,
+			"name" : "Schizoaffective disorder",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4286201,
+							"CONCEPT_NAME" : "Schizoaffective disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "68890003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 9,
+			"name" : "Schizophrenia not including Paraphenia",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433734,
+							"CONCEPT_NAME" : "Acute exacerbation of chronic latent schizophrenia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191564007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435235,
+							"CONCEPT_NAME" : "Chronic latent schizophrenia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191562006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433742,
+							"CONCEPT_NAME" : "Latent schizophrenia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191559008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 434318,
+							"CONCEPT_NAME" : "Paraphrenia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "26472000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435783,
+							"CONCEPT_NAME" : "Schizophrenia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "58214004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440077,
+							"CONCEPT_NAME" : "Subchronic latent schizophrenia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191561004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 10,
+			"name" : "Dementia",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4182210,
+							"CONCEPT_NAME" : "Dementia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "52448006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4152048,
+							"CONCEPT_NAME" : "Senile and presenile organic psychotic conditions",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "268612007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 376095,
+							"CONCEPT_NAME" : "Drug-induced dementia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191493005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37116464,
+							"CONCEPT_NAME" : "Dementia caused by heavy metal exposure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "733184002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36717598,
+							"CONCEPT_NAME" : "Dementia caused by toxin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "722978000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 377788,
+							"CONCEPT_NAME" : "General paresis - neurosyphilis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "51928006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42535731,
+							"CONCEPT_NAME" : "Dementia following injury caused by exposure to ionizing radiation",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "733185001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37311999,
+							"CONCEPT_NAME" : "Dementia caused by volatile inhalant",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "788898005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 372610,
+							"CONCEPT_NAME" : "Postconcussion syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "40425004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 372608,
+							"CONCEPT_NAME" : "Amnestic disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3298001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4043378,
+							"CONCEPT_NAME" : "Frontotemporal dementia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "230270009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 373179,
+							"CONCEPT_NAME" : "Senile degeneration of brain",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "45864009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4104700,
+							"CONCEPT_NAME" : "Cerebral degeneration associated with another disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "192794001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435088,
+							"CONCEPT_NAME" : "Senility",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "271873000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4168666,
+							"CONCEPT_NAME" : "Cerebral degeneration",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "418143002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 380701,
+							"CONCEPT_NAME" : "Diffuse Lewy body disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "80098002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 374009,
+							"CONCEPT_NAME" : "Organic mental disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "111479008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4009705,
+							"CONCEPT_NAME" : "Age-related cognitive decline",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "102891000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 11,
+			"name" : "Psychotic disorder",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 436073,
+							"CONCEPT_NAME" : "Psychotic disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "69322001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1021.json b/tests/cohorts/1021.json
new file mode 100644
index 00000000..ef5aa3c5
--- /dev/null
+++ b/tests/cohorts/1021.json
@@ -0,0 +1,401 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ANY",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"ConditionOccurrence" : {
+										"CodesetId" : 0,
+										"ConditionTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 1,
+										"Coeff" : 1
+									},
+									"End" : {
+										"Days" : 365,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							},
+							{
+								"Criteria" : {
+									"VisitOccurrence" : {
+										"CodesetId" : 2,
+										"VisitTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 0,
+										"Coeff" : -1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"EndWindow" : {
+									"Start" : {
+										"Days" : 0,
+										"Coeff" : 1
+									},
+									"End" : {
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : true
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							},
+							{
+								"Criteria" : {
+									"DrugExposure" : {
+										"CodesetId" : 1,
+										"DrugTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 0,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 60,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false
+				}
+			},
+			{
+				"DrugExposure" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ALL",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"ConditionOccurrence" : {
+										"CodesetId" : 0,
+										"ConditionTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 0,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 60,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					"CodesetId" : 1,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Myasthenia gravis (exclude congenital, juvenile, neonatal or genetic) ",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4046355,
+							"CONCEPT_NAME" : "Genetically determined myasthenia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "230669004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 76685,
+							"CONCEPT_NAME" : "Myasthenia gravis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "91637004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4204694,
+							"CONCEPT_NAME" : "Myasthenia gravis, juvenile form",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "55051001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4046356,
+							"CONCEPT_NAME" : "Congenital myasthenic syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "230672006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4101899,
+							"CONCEPT_NAME" : "Congenital and developmental myasthenia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "193216006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 81400,
+							"CONCEPT_NAME" : "Neonatal myasthenia gravis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "82178003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4046357,
+							"CONCEPT_NAME" : "Putative defect in acetylcholine synthesis or packaging",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "230676009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4045732,
+							"CONCEPT_NAME" : "Myopathy in myasthenia gravis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "230687001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 1,
+			"name" : "Pyridostigmine",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 759740,
+							"CONCEPT_NAME" : "pyridostigmine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "9000",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 2,
+			"name" : "Inpatient or Inpatient/ER visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "Age >= 18 years ",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [],
+				"DemographicCriteriaList" : [
+					{
+						"Age" : {
+							"Value" : 18,
+							"Op" : "gte"
+						}
+					}
+				],
+				"Groups" : []
+			}
+		}
+	],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1022.json b/tests/cohorts/1022.json
new file mode 100644
index 00000000..821a1cdd
--- /dev/null
+++ b/tests/cohorts/1022.json
@@ -0,0 +1,2158 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ALL",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"ConditionOccurrence" : {
+										"CodesetId" : 2,
+										"ConditionTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 365,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 0,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					"CodesetId" : 5,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			},
+			{
+				"ConditionOccurrence" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ALL",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"ConditionOccurrence" : {
+										"CodesetId" : 5,
+										"ConditionTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 365,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 0,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					"CodesetId" : 2,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 2,
+			"name" : "Sleep Disorders",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44798390,
+							"CONCEPT_NAME" : "[V]Personal history of unhealthy sleep-wake schedule",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "D",
+							"INVALID_REASON_CAPTION" : "Invalid",
+							"CONCEPT_CODE" : "441661000000100",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Context-dependent"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4287868,
+							"CONCEPT_NAME" : "Abnormal rapid eye movement sleep",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "69020003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46269699,
+							"CONCEPT_NAME" : "Acquired central alveolar hypoventilation",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "105191000119100",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 375794,
+							"CONCEPT_NAME" : "Alcohol-induced sleep disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "41083005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4044240,
+							"CONCEPT_NAME" : "Alveolar sleep apnea",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "230494007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4121694,
+							"CONCEPT_NAME" : "Amphetamine-induced sleep disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "25753007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35623409,
+							"CONCEPT_NAME" : "Autoimmune encephalopathy with parasomnia and obstructive sleep apnea",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "765751002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36716323,
+							"CONCEPT_NAME" : "Autosomal dominant cerebellar ataxia, deafness and narcolepsy syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "722293005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43021812,
+							"CONCEPT_NAME" : "Behavioral insomnia of childhood",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "90361000119105",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43021860,
+							"CONCEPT_NAME" : "Behavioral insomnia of childhood, combined type",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "288081000119106",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43020464,
+							"CONCEPT_NAME" : "Behavioral insomnia of childhood, limit setting type",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "288091000119109",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43020467,
+							"CONCEPT_NAME" : "Behavioral insomnia of childhood, sleep onset association type",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "288101000119104",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37110489,
+							"CONCEPT_NAME" : "Behaviorally induced hypersomnia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
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+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					},
+					{
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+					},
+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+						"includeMapped" : false
+					},
+					{
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+					},
+					{
+						"concept" : {
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "442057004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443864,
+							"CONCEPT_NAME" : "Multi-infarct dementia with depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "14070001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4239471,
+							"CONCEPT_NAME" : "Postpartum depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "58703003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 377527,
+							"CONCEPT_NAME" : "Presenile dementia with depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191455000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435520,
+							"CONCEPT_NAME" : "Reactive depressive psychosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191676002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4224940,
+							"CONCEPT_NAME" : "Schizoaffective disorder, depressive type",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "84760002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 379784,
+							"CONCEPT_NAME" : "Senile dementia with depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191459006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433440,
+							"CONCEPT_NAME" : "Dysthymia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "78667006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1023.json b/tests/cohorts/1023.json
new file mode 100644
index 00000000..78717595
--- /dev/null
+++ b/tests/cohorts/1023.json
@@ -0,0 +1,781 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ANY",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"ConditionOccurrence" : {
+										"CodesetId" : 2,
+										"ConditionTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 365,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 0,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							},
+							{
+								"Criteria" : {
+									"Observation" : {
+										"CodesetId" : 2,
+										"ObservationTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 365,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 0,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					"CodesetId" : 5,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			},
+			{
+				"ConditionOccurrence" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ALL",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"ConditionOccurrence" : {
+										"CodesetId" : 5,
+										"ConditionTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 365,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 0,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					"CodesetId" : 2,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			},
+			{
+				"Observation" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ALL",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"ConditionOccurrence" : {
+										"CodesetId" : 5,
+										"ConditionTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 365,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 0,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					"CodesetId" : 2,
+					"First" : true,
+					"ObservationTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 2,
+			"name" : "Suicide and suicidal ideation, prevalent (informed by PHOEBE)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 439235,
+							"CONCEPT_NAME" : "Self inflicted injury",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "276853009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4181216,
+							"CONCEPT_NAME" : "Self-administered poisoning",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "363293009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 444362,
+							"CONCEPT_NAME" : "Suicidal deliberate poisoning",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "86849004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4273391,
+							"CONCEPT_NAME" : "Suicidal thoughts",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "6471006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440925,
+							"CONCEPT_NAME" : "Suicide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "44301001",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4303690,
+							"CONCEPT_NAME" : "Intentionally harming self",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "418420002",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Event"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4009713,
+							"CONCEPT_NAME" : "Thoughts of self harm",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "102911000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4219484,
+							"CONCEPT_NAME" : "Suicide attempt",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "82313006",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435446,
+							"CONCEPT_NAME" : "Late effect of self inflicted injury",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "219174008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4058281,
+							"CONCEPT_NAME" : "H/O: attempted suicide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "161474000",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Context-dependent"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4021339,
+							"CONCEPT_NAME" : "Feeling suicidal",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "225457007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4216115,
+							"CONCEPT_NAME" : "Threatening suicide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "41501003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4092411,
+							"CONCEPT_NAME" : "Self-injurious behavior",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "248062006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4152408,
+							"CONCEPT_NAME" : "H/O: deliberate self harm",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "314550003",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Context-dependent"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 4,
+			"name" : "Inpatient or ER visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9203,
+							"CONCEPT_NAME" : "Emergency Room Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ER",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 5,
+			"name" : "Major Depressive Disorder",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 436665,
+							"CONCEPT_NAME" : "Bipolar disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "13746004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440383,
+							"CONCEPT_NAME" : "Depressive disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "35489007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4175329,
+							"CONCEPT_NAME" : "Organic mood disorder of depressed type",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "42594001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40546087,
+							"CONCEPT_NAME" : "Depressed mood",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "366979004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4191716,
+							"CONCEPT_NAME" : "Symptoms of depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "394924000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4212469,
+							"CONCEPT_NAME" : "Patient given advice about management of depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "415044007",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Procedure"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 442306,
+							"CONCEPT_NAME" : "Adjustment disorder with depressed mood",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "57194009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36684319,
+							"CONCEPT_NAME" : "Adjustment disorder with mixed anxiety and depressed mood",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "782501005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 438727,
+							"CONCEPT_NAME" : "Atypical depressive disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191659001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40481798,
+							"CONCEPT_NAME" : "Chronic depressive personality disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "442057004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443864,
+							"CONCEPT_NAME" : "Multi-infarct dementia with depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "14070001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4239471,
+							"CONCEPT_NAME" : "Postpartum depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "58703003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 377527,
+							"CONCEPT_NAME" : "Presenile dementia with depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191455000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435520,
+							"CONCEPT_NAME" : "Reactive depressive psychosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191676002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4224940,
+							"CONCEPT_NAME" : "Schizoaffective disorder, depressive type",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "84760002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 379784,
+							"CONCEPT_NAME" : "Senile dementia with depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191459006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433440,
+							"CONCEPT_NAME" : "Dysthymia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "78667006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1024.json b/tests/cohorts/1024.json
new file mode 100644
index 00000000..316d6631
--- /dev/null
+++ b/tests/cohorts/1024.json
@@ -0,0 +1,492 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ALL",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"ConditionOccurrence" : {
+										"CodesetId" : 2,
+										"ConditionTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 365,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 0,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					"CodesetId" : 5,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			},
+			{
+				"ConditionOccurrence" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ALL",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"ConditionOccurrence" : {
+										"CodesetId" : 5,
+										"ConditionTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 365,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 0,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					"CodesetId" : 2,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 2,
+			"name" : "Anhedonia",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4102935,
+							"CONCEPT_NAME" : "Anhedonia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "28669007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 4,
+			"name" : "Inpatient or ER visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9203,
+							"CONCEPT_NAME" : "Emergency Room Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ER",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 5,
+			"name" : "Major Depressive Disorder",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 436665,
+							"CONCEPT_NAME" : "Bipolar disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "13746004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440383,
+							"CONCEPT_NAME" : "Depressive disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "35489007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4175329,
+							"CONCEPT_NAME" : "Organic mood disorder of depressed type",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "42594001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40546087,
+							"CONCEPT_NAME" : "Depressed mood",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "366979004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4191716,
+							"CONCEPT_NAME" : "Symptoms of depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "394924000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4212469,
+							"CONCEPT_NAME" : "Patient given advice about management of depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "415044007",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Procedure"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 442306,
+							"CONCEPT_NAME" : "Adjustment disorder with depressed mood",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "57194009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36684319,
+							"CONCEPT_NAME" : "Adjustment disorder with mixed anxiety and depressed mood",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "782501005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 438727,
+							"CONCEPT_NAME" : "Atypical depressive disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191659001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40481798,
+							"CONCEPT_NAME" : "Chronic depressive personality disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "442057004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443864,
+							"CONCEPT_NAME" : "Multi-infarct dementia with depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "14070001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4239471,
+							"CONCEPT_NAME" : "Postpartum depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "58703003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 377527,
+							"CONCEPT_NAME" : "Presenile dementia with depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191455000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435520,
+							"CONCEPT_NAME" : "Reactive depressive psychosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191676002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4224940,
+							"CONCEPT_NAME" : "Schizoaffective disorder, depressive type",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "84760002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 379784,
+							"CONCEPT_NAME" : "Senile dementia with depression",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191459006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433440,
+							"CONCEPT_NAME" : "Dysthymia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "78667006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1025.json b/tests/cohorts/1025.json
new file mode 100644
index 00000000..9b9a5bb8
--- /dev/null
+++ b/tests/cohorts/1025.json
@@ -0,0 +1,464 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false
+				}
+			},
+			{
+				"ProcedureOccurrence" : {
+					"CodesetId" : 0,
+					"ProcedureTypeExclude" : false
+				}
+			},
+			{
+				"DrugExposure" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ANY",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"ConditionOccurrence" : {
+										"CodesetId" : 0,
+										"ConditionTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 0,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 365,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							},
+							{
+								"Criteria" : {
+									"ProcedureOccurrence" : {
+										"CodesetId" : 0,
+										"ProcedureTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 0,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 365,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					"CodesetId" : 1,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "ADHD condition or procedure",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44813054,
+							"CONCEPT_NAME" : "Attention deficit hyperactivity disorder annual review",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "710071000000106",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Procedure"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40480225,
+							"CONCEPT_NAME" : "Adult attention deficit hyperactivity disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "444613000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4262921,
+							"CONCEPT_NAME" : "Hyperkinetic syndrome with developmental delay",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46745001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45765570,
+							"CONCEPT_NAME" : "Drug therapy for attention deficit hyperactivity disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "702538008",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Procedure"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4047120,
+							"CONCEPT_NAME" : "Disorders of attention and motor control",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "229712006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4085043,
+							"CONCEPT_NAME" : "Reduced concentration span",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "247762003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 1,
+			"name" : "ADHD medications",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 714785,
+							"CONCEPT_NAME" : "amphetamine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "725",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 742185,
+							"CONCEPT_NAME" : "atomoxetine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "38400",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 719311,
+							"CONCEPT_NAME" : "dextroamphetamine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3288",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 705944,
+							"CONCEPT_NAME" : "methylphenidate",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "6901",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 709567,
+							"CONCEPT_NAME" : "lisdexamfetamine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "700810",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19090984,
+							"CONCEPT_NAME" : "armodafinil",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "641465",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1398937,
+							"CONCEPT_NAME" : "clonidine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2599",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 731533,
+							"CONCEPT_NAME" : "dexmethylphenidate",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "352372",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19008261,
+							"CONCEPT_NAME" : "viloxazine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "11196",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1344965,
+							"CONCEPT_NAME" : "guanfacine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "40114",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 704053,
+							"CONCEPT_NAME" : "methamphetamine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "6816",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 710650,
+							"CONCEPT_NAME" : "modafinil",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "30125",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37002370,
+							"CONCEPT_NAME" : "oxybate",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2387302",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1537411,
+							"CONCEPT_NAME" : "serdexmethylphenidate",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2562176",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1026.json b/tests/cohorts/1026.json
new file mode 100644
index 00000000..151b283e
--- /dev/null
+++ b/tests/cohorts/1026.json
@@ -0,0 +1,112 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 6,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 6,
+			"name" : "Multiple sclerosis",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 374919,
+							"CONCEPT_NAME" : "Multiple sclerosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "24700007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44784474,
+							"CONCEPT_NAME" : "Dementia associated with multiple sclerosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "698626001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 765565,
+							"CONCEPT_NAME" : "Functional quadriplegia due to multiple sclerosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "24800001000004103",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 761978,
+							"CONCEPT_NAME" : "Cognitive impairment due to multiple sclerosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "25470001000004105",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1027.json b/tests/cohorts/1027.json
new file mode 100644
index 00000000..da2b1cdc
--- /dev/null
+++ b/tests/cohorts/1027.json
@@ -0,0 +1,163 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 4,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 4,
+			"name" : "Chronic Leukocytic Leukemia not including Hairy cell, prolymphocytic leukemia, T cell, reticuloendotheliosis + remission",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4002356,
+							"CONCEPT_NAME" : "Diffuse non-Hodgkin's lymphoma, small cell (clinical)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "109968002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 138379,
+							"CONCEPT_NAME" : "Chronic lymphoid leukemia, disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "92814006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4038845,
+							"CONCEPT_NAME" : "Hairy cell leukemia (clinical)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "118613001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4173974,
+							"CONCEPT_NAME" : "B-cell prolymphocytic leukemia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "277619001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4001331,
+							"CONCEPT_NAME" : "Prolymphocytic leukemia (clinical)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "110006004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4079683,
+							"CONCEPT_NAME" : "T-cell prolymphocytic leukemia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "277567002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44783718,
+							"CONCEPT_NAME" : "T-cell large granular lymphocytic leukemia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "699818003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1028.json b/tests/cohorts/1028.json
new file mode 100644
index 00000000..4feb94bb
--- /dev/null
+++ b/tests/cohorts/1028.json
@@ -0,0 +1,383 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Primary or malignant urothelial bladder cancer",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 197508,
+							"CONCEPT_NAME" : "Malignant tumor of urinary bladder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "399326009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4177230,
+							"CONCEPT_NAME" : "Malignant tumor of urethra",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "363459007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4312149,
+							"CONCEPT_NAME" : "Secondary malignant neoplasm of anterior wall of urinary bladder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "94171008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4312802,
+							"CONCEPT_NAME" : "Secondary malignant neoplasm of bladder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "94186002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4313210,
+							"CONCEPT_NAME" : "Secondary malignant neoplasm of lateral wall of urinary bladder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "94374009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4314336,
+							"CONCEPT_NAME" : "Secondary malignant neoplasm of posterior wall of urinary bladder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "94500000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4313925,
+							"CONCEPT_NAME" : "Secondary malignant neoplasm of rectovesical septum",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "94512001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4314491,
+							"CONCEPT_NAME" : "Secondary malignant neoplasm of trigone of urinary bladder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "94647000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4313221,
+							"CONCEPT_NAME" : "Secondary malignant neoplasm of urachus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "94658009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4313222,
+							"CONCEPT_NAME" : "Secondary malignant neoplasm of ureteric orifice of urinary bladder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "94660006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4314494,
+							"CONCEPT_NAME" : "Secondary malignant neoplasm of urinary bladder neck",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "94662003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37016119,
+							"CONCEPT_NAME" : "Primary squamous cell carcinoma of urethra",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "107591000119100",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4113112,
+							"CONCEPT_NAME" : "Squamous cell carcinoma of bladder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "255111004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4111028,
+							"CONCEPT_NAME" : "Adenocarcinoma of bladder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "255110003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37116429,
+							"CONCEPT_NAME" : "Primary adenocarcinoma of urethra",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "733136006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36713671,
+							"CONCEPT_NAME" : "Small cell neuroendocrine carcinoma of bladder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "718604008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4080733,
+							"CONCEPT_NAME" : "Rhabdomyosarcoma of bladder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "278024000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4175529,
+							"CONCEPT_NAME" : "Sarcoma of bladder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "278046008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4315813,
+							"CONCEPT_NAME" : "Secondary malignant neoplasm of urethra",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "94661005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 192855,
+							"CONCEPT_NAME" : "Cancer in situ of urinary bladder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "92546004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1029.json b/tests/cohorts/1029.json
new file mode 100644
index 00000000..3f793444
--- /dev/null
+++ b/tests/cohorts/1029.json
@@ -0,0 +1,210 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 7,
+					"ConditionTypeExclude" : false
+				}
+			},
+			{
+				"ConditionOccurrence" : {
+					"ConditionTypeExclude" : false,
+					"ConditionSourceConcept" : 5
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 5,
+			"name" : "Mantle Cell Lymphoma (non-standard)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45590943,
+							"CONCEPT_NAME" : "Mantle cell lymphoma, extranodal and solid organ sites",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "C83.19",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "ICD10CM",
+							"CONCEPT_CLASS_ID" : "5-char billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 7,
+			"name" : "Mantle Cell Lymphoma",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440058,
+							"CONCEPT_NAME" : "Malignant lymphoma of extranodal AND/OR solid organ site",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "93199007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40481901,
+							"CONCEPT_NAME" : "Mantle cell lymphoma",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "443487006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435758,
+							"CONCEPT_NAME" : "Burkitt's tumor of extranodal AND/OR solid organ site",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "92516002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440058,
+							"CONCEPT_NAME" : "Malignant lymphoma of extranodal AND/OR solid organ site",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "93199007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 135204,
+							"CONCEPT_NAME" : "Mycosis fungoides of extranodal AND/OR solid organ site",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "94715001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 194878,
+							"CONCEPT_NAME" : "Nodular lymphoma of extranodal AND/OR solid organ site",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "95194004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40487528,
+							"CONCEPT_NAME" : "Non-Hodgkin's lymphoma of extranodal site",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "447989004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 135759,
+							"CONCEPT_NAME" : "Sézary's disease of extranodal AND/OR solid organ site",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "95264000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1030.json b/tests/cohorts/1030.json
new file mode 100644
index 00000000..c5f33800
--- /dev/null
+++ b/tests/cohorts/1030.json
@@ -0,0 +1,78 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false,
+					"Age" : {
+						"Value" : 18,
+						"Op" : "gte"
+					},
+					"Gender" : [
+						{
+							"CONCEPT_ID" : 8507,
+							"CONCEPT_NAME" : "MALE",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "M",
+							"DOMAIN_ID" : "Gender",
+							"VOCABULARY_ID" : "Gender",
+							"CONCEPT_CLASS_ID" : null
+						}
+					]
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Prostate cancer",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4163261,
+							"CONCEPT_NAME" : "Malignant tumor of prostate",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "399068003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1031.json b/tests/cohorts/1031.json
new file mode 100644
index 00000000..6c4b5209
--- /dev/null
+++ b/tests/cohorts/1031.json
@@ -0,0 +1,425 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 2,
+					"First" : true,
+					"ConditionTypeExclude" : false
+				}
+			},
+			{
+				"Observation" : {
+					"CodesetId" : 2,
+					"First" : true,
+					"ObservationTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 2,
+			"name" : "Coronary artery disease ",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43020660,
+							"CONCEPT_NAME" : "Ischemic dilated cardiomyopathy due to coronary artery disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "472100003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4185932,
+							"CONCEPT_NAME" : "Ischemic heart disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "414545008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37109911,
+							"CONCEPT_NAME" : "Pulmonary embolism due to and following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "723859005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4177223,
+							"CONCEPT_NAME" : "History of percutaneous transluminal coronary angioplasty",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "428308007",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Context-dependent"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4127089,
+							"CONCEPT_NAME" : "Coronary artery spasm",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "23687008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37109912,
+							"CONCEPT_NAME" : "Arrhythmia due to and following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "723860000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42537729,
+							"CONCEPT_NAME" : "Aortocoronary bypass graft present",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "737276005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 438172,
+							"CONCEPT_NAME" : "Atrial septal defect due to and following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "194863005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 316995,
+							"CONCEPT_NAME" : "Coronary occlusion",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "63739005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4108678,
+							"CONCEPT_NAME" : "Hemopericardium due to and following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "194862000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4124687,
+							"CONCEPT_NAME" : "Cardiac rupture due to and following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "233847009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45766165,
+							"CONCEPT_NAME" : "Heart failure with reduced ejection fraction due to coronary artery disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "703273002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4108220,
+							"CONCEPT_NAME" : "Rupture of papillary muscle as current complication following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "194867006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4058723,
+							"CONCEPT_NAME" : "H/O: angina pectoris",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "161504004",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Context-dependent"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44783188,
+							"CONCEPT_NAME" : "Emergency hospital admission for ischemic heart disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "699245006",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Procedure"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4080593,
+							"CONCEPT_NAME" : "Syphilitic coronary artery disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "240567009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4108680,
+							"CONCEPT_NAME" : "Thrombosis of atrium, auricular appendage, and ventricle due to and following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "194868001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37109910,
+							"CONCEPT_NAME" : "Ventricular aneurysm due to and following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "723858002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 318443,
+							"CONCEPT_NAME" : "Arteriosclerotic vascular disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "72092001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44809539,
+							"CONCEPT_NAME" : "H/O acute coronary syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "837091000000100",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Context-dependent"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45766212,
+							"CONCEPT_NAME" : "Mitral valve regurgitation due to and following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "703326006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37312532,
+							"CONCEPT_NAME" : "Coronary arteriosclerosis in artery of transplanted heart",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "792842004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1032.json b/tests/cohorts/1032.json
new file mode 100644
index 00000000..8d5fb955
--- /dev/null
+++ b/tests/cohorts/1032.json
@@ -0,0 +1,666 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false
+				}
+			},
+			{
+				"DrugExposure" : {
+					"CodesetId" : 4,
+					"DrugTypeExclude" : false
+				}
+			},
+			{
+				"Measurement" : {
+					"CodesetId" : 3,
+					"MeasurementTypeExclude" : false,
+					"ValueAsNumber" : {
+						"Value" : 6.5,
+						"Op" : "bt",
+						"Extent" : 30
+					},
+					"Unit" : [
+						{
+							"CONCEPT_ID" : 8554,
+							"CONCEPT_NAME" : "percent",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "%",
+							"DOMAIN_ID" : "Unit",
+							"VOCABULARY_ID" : "UCUM",
+							"CONCEPT_CLASS_ID" : null
+						}
+					]
+				}
+			},
+			{
+				"Measurement" : {
+					"CodesetId" : 3,
+					"MeasurementTypeExclude" : false,
+					"ValueAsNumber" : {
+						"Value" : 48,
+						"Op" : "bt",
+						"Extent" : 99
+					},
+					"Unit" : [
+						{
+							"CONCEPT_ID" : 9579,
+							"CONCEPT_NAME" : "millimole per mole",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "mmol/mol",
+							"DOMAIN_ID" : "Unit",
+							"VOCABULARY_ID" : "UCUM",
+							"CONCEPT_CLASS_ID" : null
+						}
+					]
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Type 2 diabetes mellitus (diabetes mellitus excluding T1DM and secondary)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443238,
+							"CONCEPT_NAME" : "Diabetic - poor control",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "268519009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201820,
+							"CONCEPT_NAME" : "Diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "73211009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 442793,
+							"CONCEPT_NAME" : "Complication due to diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "74627003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40484648,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus uncontrolled",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "444073006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201254,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46635009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435216,
+							"CONCEPT_NAME" : "Disorder due to type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "420868002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201254,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46635009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 195771,
+							"CONCEPT_NAME" : "Secondary diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8801005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4058243,
+							"CONCEPT_NAME" : "Diabetes mellitus during pregnancy, childbirth and the puerperium",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "199223000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 761051,
+							"CONCEPT_NAME" : "Complication due to secondary diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "138811000119100",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 2,
+			"name" : "Secondary diabetes mellitus",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 195771,
+							"CONCEPT_NAME" : "Secondary diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8801005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 3,
+			"name" : "Hemoglobin A1c (HbA1c) measurements",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37059902,
+							"CONCEPT_NAME" : "Hemoglobin A1c/Hemoglobin.total | Blood | Hematology and Cell counts",
+							"STANDARD_CONCEPT" : "C",
+							"STANDARD_CONCEPT_CAPTION" : "Classification",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "LP393563-4",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : "LOINC Hierarchy"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4184637,
+							"CONCEPT_NAME" : "Hemoglobin A1c measurement",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "43396009",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Procedure"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 4,
+			"name" : "Blood glucose lowering drugs, excluding insulin",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 21600744,
+							"CONCEPT_NAME" : "BLOOD GLUCOSE LOWERING DRUGS, EXCL. INSULINS",
+							"STANDARD_CONCEPT" : "C",
+							"STANDARD_CONCEPT_CAPTION" : "Classification",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "A10B",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "ATC",
+							"CONCEPT_CLASS_ID" : "ATC 3rd"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 5,
+			"name" : "Type 1 Diabetes Mellitus",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40484649,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus well controlled",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "444074000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42689695,
+							"CONCEPT_NAME" : "Eating disorder co-occurrent with diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1067201000000106",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 765533,
+							"CONCEPT_NAME" : "Glaucoma due to diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "60981000119103",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43531006,
+							"CONCEPT_NAME" : "Maturity onset diabetes of the young, type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "609562003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 765650,
+							"CONCEPT_NAME" : "Cranial nerve palsy due to diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "82561000119101",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45770986,
+							"CONCEPT_NAME" : "Retinopathy due to unstable diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "706894000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201254,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46635009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45768456,
+							"CONCEPT_NAME" : "Neuropathy due to unstable diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "706891008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40484648,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus uncontrolled",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "444073006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4128019,
+							"CONCEPT_NAME" : "Brittle type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "290002008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435216,
+							"CONCEPT_NAME" : "Disorder due to type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "420868002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "no Type 1 diabetes mellitus diagnosis on or prior to T2DM",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 5,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "no secondary diabetes diagnosis on or prior to T2DM",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 2,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "has at least one diagnosis of T2DM on or within 365d of index date",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 0,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 0,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 365,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1033.json b/tests/cohorts/1033.json
new file mode 100644
index 00000000..56ff0cf5
--- /dev/null
+++ b/tests/cohorts/1033.json
@@ -0,0 +1,1119 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 13,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"AdditionalCriteria" : {
+		"Type" : "AT_LEAST",
+		"Count" : 1,
+		"CriteriaList" : [
+			{
+				"Criteria" : {
+					"ConditionOccurrence" : {
+						"CodesetId" : 13,
+						"ConditionTypeExclude" : false
+					}
+				},
+				"StartWindow" : {
+					"Start" : {
+						"Days" : 1,
+						"Coeff" : 1
+					},
+					"End" : {
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : false
+				},
+				"RestrictVisit" : false,
+				"IgnoreObservationPeriod" : false,
+				"Occurrence" : {
+					"Type" : 2,
+					"Count" : 1,
+					"IsDistinct" : false
+				}
+			},
+			{
+				"Criteria" : {
+					"DrugExposure" : {
+						"CodesetId" : 15,
+						"DrugTypeExclude" : false
+					}
+				},
+				"StartWindow" : {
+					"Start" : {
+						"Days" : 0,
+						"Coeff" : 1
+					},
+					"End" : {
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : false
+				},
+				"RestrictVisit" : false,
+				"IgnoreObservationPeriod" : false,
+				"Occurrence" : {
+					"Type" : 2,
+					"Count" : 1,
+					"IsDistinct" : false
+				}
+			},
+			{
+				"Criteria" : {
+					"Measurement" : {
+						"CodesetId" : 17,
+						"MeasurementTypeExclude" : false,
+						"ValueAsNumber" : {
+							"Value" : 1,
+							"Op" : "gt",
+							"Extent" : 10
+						}
+					}
+				},
+				"StartWindow" : {
+					"Start" : {
+						"Days" : 0,
+						"Coeff" : 1
+					},
+					"End" : {
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : false
+				},
+				"RestrictVisit" : false,
+				"IgnoreObservationPeriod" : false,
+				"Occurrence" : {
+					"Type" : 2,
+					"Count" : 1,
+					"IsDistinct" : false
+				}
+			}
+		],
+		"DemographicCriteriaList" : [],
+		"Groups" : []
+	},
+	"ConceptSets" : [
+		{
+			"id" : 13,
+			"name" : "HIV excluding HIV-II  ",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4276586,
+							"CONCEPT_NAME" : "Finding of HIV status",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "365866002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4013105,
+							"CONCEPT_NAME" : "HIV negative",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "165815009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44783356,
+							"CONCEPT_NAME" : "Human immunodeficiency virus carrier",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "699433000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 432554,
+							"CONCEPT_NAME" : "Human immunodeficiency virus II infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "79019005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 439727,
+							"CONCEPT_NAME" : "Human immunodeficiency virus infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "86406008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 15,
+			"name" : "HIV drugs",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1736971,
+							"CONCEPT_NAME" : "abacavir",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "190521",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1789428,
+							"CONCEPT_NAME" : "Amprenavir",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "228656",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1727223,
+							"CONCEPT_NAME" : "Atazanavir",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "343047",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 964008,
+							"CONCEPT_NAME" : "bictegravir",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1999660",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42874220,
+							"CONCEPT_NAME" : "cobicistat",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1306284",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1756831,
+							"CONCEPT_NAME" : "darunavir",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "460132",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1747157,
+							"CONCEPT_NAME" : "Delavirdine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
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+		{
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+					},
+					{
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+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "59052-1",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : "Lab Test"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 21491519,
+							"CONCEPT_NAME" : "HIV 1 proviral DNA integrase gene mutations detected [Identifier] in Blood mononuclear cells by Sequencing",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "80691-9",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : "Lab Test"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 21493662,
+							"CONCEPT_NAME" : "HIV 1 proviral DNA reverse transcriptase and protease and integrase gene mutations detected [Identifier] in Blood mononuclear cells by Sequencing",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "80693-5",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : "Lab Test"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 21491520,
+							"CONCEPT_NAME" : "HIV 1 proviral DNA reverse transcriptase and protease gene mutations detected [Identifier] in Blood mononuclear cells by Sequencing",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "80692-7",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : "Lab Test"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 21491518,
+							"CONCEPT_NAME" : "HIV 1 proviral DNA tropism [Identifier] in Blood mononuclear cells",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "80690-1",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : "Lab Test"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 3030461,
+							"CONCEPT_NAME" : "HIV 1 RNA panel (viral load) in Cerebral spinal fluid by NAA with probe detection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "50624-6",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : "Lab Test"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 21491517,
+							"CONCEPT_NAME" : "HIV 1 RNA reverse transcriptase and protease and integrase gene mutations detected [Identifier] in Plasma by Sequencing",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "80689-3",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : "Lab Test"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 3044830,
+							"CONCEPT_NAME" : "HIV protease gene mutations detected [Identifier]",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "33630-5",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : "Lab Test"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2213092,
+							"CONCEPT_NAME" : "Infectious agent antigen detection by immunoassay technique, (eg, enzyme immunoassay [EIA], enzyme-linked immunosorbent assay [ELISA], immunochemiluminometric assay [IMCA]) qualitative or semiquantitative, multiple-step method; HIV-1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "87390",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42742380,
+							"CONCEPT_NAME" : "Infectious agent antigen detection by immunoassay technique, (eg, enzyme immunoassay [EIA], enzyme-linked immunosorbent assay [ELISA], immunochemiluminometric assay [IMCA]) qualitative or semiquantitative, multiple-step method; HIV-1 antigen(s), with HIV-",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "87389",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2213141,
+							"CONCEPT_NAME" : "Infectious agent detection by nucleic acid (DNA or RNA); HIV-1, amplified probe technique, includes reverse transcription when performed",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "87535",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2213140,
+							"CONCEPT_NAME" : "Infectious agent detection by nucleic acid (DNA or RNA); HIV-1, direct probe technique",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "87534",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2213142,
+							"CONCEPT_NAME" : "Infectious agent detection by nucleic acid (DNA or RNA); HIV-1, quantification, includes reverse transcription when performed",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "87536",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1034.json b/tests/cohorts/1034.json
new file mode 100644
index 00000000..c4c3a314
--- /dev/null
+++ b/tests/cohorts/1034.json
@@ -0,0 +1,105 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Respiratory syncytial virus infection",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 437222,
+							"CONCEPT_NAME" : "Respiratory syncytial virus infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "55735004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "30 day clean window",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 0,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false,
+							"CountColumn" : "DOMAIN_CONCEPT"
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 30
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1035.json b/tests/cohorts/1035.json
new file mode 100644
index 00000000..db27001a
--- /dev/null
+++ b/tests/cohorts/1035.json
@@ -0,0 +1,119 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 0,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "[HowOften] Thiazide or thiazide-like diuretics",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1395058,
+							"CONCEPT_NAME" : "chlorthalidone",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2409",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 974166,
+							"CONCEPT_NAME" : "hydrochlorothiazide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "5487",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 978555,
+							"CONCEPT_NAME" : "indapamide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "5764",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 907013,
+							"CONCEPT_NAME" : "metolazone",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "6916",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 0,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1036.json b/tests/cohorts/1036.json
new file mode 100644
index 00000000..6e54b6a2
--- /dev/null
+++ b/tests/cohorts/1036.json
@@ -0,0 +1,255 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 2,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 2,
+			"name" : "[HowOften] Beta blockers",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1319998,
+							"CONCEPT_NAME" : "acebutolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "149",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1314002,
+							"CONCEPT_NAME" : "atenolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1202",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1322081,
+							"CONCEPT_NAME" : "betaxolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1520",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1338005,
+							"CONCEPT_NAME" : "bisoprolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "19484",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1346823,
+							"CONCEPT_NAME" : "carvedilol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "20352",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1386957,
+							"CONCEPT_NAME" : "labetalol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "6185",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1307046,
+							"CONCEPT_NAME" : "metoprolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "6918",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1313200,
+							"CONCEPT_NAME" : "nadolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7226",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1314577,
+							"CONCEPT_NAME" : "nebivolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "31555",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1327978,
+							"CONCEPT_NAME" : "penbutolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7973",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1345858,
+							"CONCEPT_NAME" : "pindolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8332",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1353766,
+							"CONCEPT_NAME" : "propranolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8787",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 2,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1037.json b/tests/cohorts/1037.json
new file mode 100644
index 00000000..7a0fd3b7
--- /dev/null
+++ b/tests/cohorts/1037.json
@@ -0,0 +1,119 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 3,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 3,
+			"name" : "[HowOften] SGLT2 inhibitors",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 793293,
+							"CONCEPT_NAME" : "ertugliflozin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1992672",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43526465,
+							"CONCEPT_NAME" : "canagliflozin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1373458",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44785829,
+							"CONCEPT_NAME" : "dapagliflozin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1488564",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45774751,
+							"CONCEPT_NAME" : "empagliflozin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1545653",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 3,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1038.json b/tests/cohorts/1038.json
new file mode 100644
index 00000000..28043894
--- /dev/null
+++ b/tests/cohorts/1038.json
@@ -0,0 +1,153 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 4,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 4,
+			"name" : "[HowOften] GLP-1 receptor antagonists",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45774435,
+							"CONCEPT_NAME" : "dulaglutide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1551291",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44816332,
+							"CONCEPT_NAME" : "albiglutide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1534763",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40170911,
+							"CONCEPT_NAME" : "liraglutide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "475968",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 793143,
+							"CONCEPT_NAME" : "semaglutide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1991302",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1583722,
+							"CONCEPT_NAME" : "exenatide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "60548",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44506754,
+							"CONCEPT_NAME" : "lixisenatide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1440051",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 4,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1039.json b/tests/cohorts/1039.json
new file mode 100644
index 00000000..fc7cf983
--- /dev/null
+++ b/tests/cohorts/1039.json
@@ -0,0 +1,136 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 5,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 5,
+			"name" : "[HowOften] DPP4 Inhibitors",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40166035,
+							"CONCEPT_NAME" : "saxagliptin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "857974",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40239216,
+							"CONCEPT_NAME" : "linagliptin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1100699",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43013884,
+							"CONCEPT_NAME" : "alogliptin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1368001",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19122137,
+							"CONCEPT_NAME" : "vildagliptin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "596554",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1580747,
+							"CONCEPT_NAME" : "sitagliptin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "593411",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 5,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1040.json b/tests/cohorts/1040.json
new file mode 100644
index 00000000..3390e147
--- /dev/null
+++ b/tests/cohorts/1040.json
@@ -0,0 +1,136 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 6,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 6,
+			"name" : "[HowOften] TNF inhibitors",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19041065,
+							"CONCEPT_NAME" : "golimumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "819300",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 912263,
+							"CONCEPT_NAME" : "certolizumab pegol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "709271",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 937368,
+							"CONCEPT_NAME" : "infliximab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191831",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1151789,
+							"CONCEPT_NAME" : "etanercept",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "214555",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1119119,
+							"CONCEPT_NAME" : "adalimumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "327361",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 6,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1041.json b/tests/cohorts/1041.json
new file mode 100644
index 00000000..b76661d7
--- /dev/null
+++ b/tests/cohorts/1041.json
@@ -0,0 +1,102 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 7,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 7,
+			"name" : "[HowOften] JAK inhibitor",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1510627,
+							"CONCEPT_NAME" : "baricitinib",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2047232",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40244464,
+							"CONCEPT_NAME" : "ruxolitinib",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1193326",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42904205,
+							"CONCEPT_NAME" : "tofacitinib",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1357536",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 7,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1042.json b/tests/cohorts/1042.json
new file mode 100644
index 00000000..2d443ea2
--- /dev/null
+++ b/tests/cohorts/1042.json
@@ -0,0 +1,102 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 8,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 8,
+			"name" : "[HowOften] IL23 inhibitors",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35200139,
+							"CONCEPT_NAME" : "tildrakizumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2053436",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1511348,
+							"CONCEPT_NAME" : "risankizumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2166040",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1593700,
+							"CONCEPT_NAME" : "guselkumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1928588",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 8,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1043.json b/tests/cohorts/1043.json
new file mode 100644
index 00000000..3481998d
--- /dev/null
+++ b/tests/cohorts/1043.json
@@ -0,0 +1,1190 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 9,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 9,
+			"name" : "[HowOften] fluoroquinolone systemic",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1721543,
+							"CONCEPT_NAME" : "norfloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7517",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35198003,
+							"CONCEPT_NAME" : "pazufloxacin mesilate",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4819368",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1747032,
+							"CONCEPT_NAME" : "grepafloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "83719",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19041153,
+							"CONCEPT_NAME" : "temafloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "37771",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1592954,
+							"CONCEPT_NAME" : "delafloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1927663",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1716721,
+							"CONCEPT_NAME" : "gemifloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "138099",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 923081,
+							"CONCEPT_NAME" : "ofloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7623",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19050750,
+							"CONCEPT_NAME" : "fleroxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "42322",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1712549,
+							"CONCEPT_NAME" : "trovafloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "115552",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35197938,
+							"CONCEPT_NAME" : "garenoxacin mesilate hydrate",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4819303",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36878831,
+							"CONCEPT_NAME" : "nadifloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP1007304",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40161662,
+							"CONCEPT_NAME" : "besifloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "819911",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43009030,
+							"CONCEPT_NAME" : "tosufloxacin tosylate hydrate",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4700456",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1743222,
+							"CONCEPT_NAME" : "enoxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3925",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35834909,
+							"CONCEPT_NAME" : "lascufloxacin hydrochloride",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5040502",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35198165,
+							"CONCEPT_NAME" : "sitafloxacin hydrate",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4819530",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1789276,
+							"CONCEPT_NAME" : "gatifloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "228476",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1797513,
+							"CONCEPT_NAME" : "ciprofloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2551",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1742253,
+							"CONCEPT_NAME" : "levofloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
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+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					},
+					{
+						"concept" : {
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+					{
+						"concept" : {
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+					{
+						"concept" : {
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
+						"concept" : {
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+						"concept" : {
+							"CONCEPT_ID" : 40069655,
+							"CONCEPT_NAME" : "ofloxacin Otic Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "377450",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42965658,
+							"CONCEPT_NAME" : "Ciprofloxacin / fluocinolone Topical Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4692126",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36269500,
+							"CONCEPT_NAME" : "Ciprofloxacin Mucous Membrane Topical Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP3120375",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35857832,
+							"CONCEPT_NAME" : "ciprofloxacin Topical Gel",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5014782",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35857838,
+							"CONCEPT_NAME" : "ciprofloxacin Topical Ointment",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5014788",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35860698,
+							"CONCEPT_NAME" : "enoxacin Topical Ointment",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5017125",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35862078,
+							"CONCEPT_NAME" : "lomefloxacin Topical Gel",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5018791",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35862084,
+							"CONCEPT_NAME" : "lomefloxacin Topical Ointment",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5018797",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2052955,
+							"CONCEPT_NAME" : "lomefloxacin Topical Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4953477",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43678347,
+							"CONCEPT_NAME" : "nadifloxacin Topical Cream",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP692663",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35154779,
+							"CONCEPT_NAME" : "nadifloxacin Topical Lotion",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4811800",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35141912,
+							"CONCEPT_NAME" : "nadifloxacin Topical Ointment",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4799033",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35861725,
+							"CONCEPT_NAME" : "norfloxacin Topical Ointment",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5018416",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35851383,
+							"CONCEPT_NAME" : "ofloxacin Topical Gel",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5007927",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35851392,
+							"CONCEPT_NAME" : "ofloxacin Topical Ointment",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5007936",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35856292,
+							"CONCEPT_NAME" : "pefloxacin Topical Ointment",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5012825",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 9,
+			"GapDays" : 30,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1044.json b/tests/cohorts/1044.json
new file mode 100644
index 00000000..eed4b2f4
--- /dev/null
+++ b/tests/cohorts/1044.json
@@ -0,0 +1,884 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 10,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 10,
+			"name" : "[HowOften] cephalosporin systematic",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40798709,
+							"CONCEPT_NAME" : "Cefacetrile",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP2721059",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1796435,
+							"CONCEPT_NAME" : "cefixime",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "25033",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40798704,
+							"CONCEPT_NAME" : "Cefmenoxime",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP2721061",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19072255,
+							"CONCEPT_NAME" : "cefmetazole",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2182",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43008993,
+							"CONCEPT_NAME" : "cefminox sodium",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4700419",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19028286,
+							"CONCEPT_NAME" : "cefodizime",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "20485",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19072857,
+							"CONCEPT_NAME" : "cefonicid",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2183",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1773402,
+							"CONCEPT_NAME" : "cefoperazone",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2184",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19028288,
+							"CONCEPT_NAME" : "ceforanide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "20486",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1774470,
+							"CONCEPT_NAME" : "cefotaxime",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2186",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1774932,
+							"CONCEPT_NAME" : "cefotetan",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2187",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19051271,
+							"CONCEPT_NAME" : "cefotiam",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2188",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1775741,
+							"CONCEPT_NAME" : "cefoxitin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2189",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43009045,
+							"CONCEPT_NAME" : "cefpiramide sodium",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4700471",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1749008,
+							"CONCEPT_NAME" : "cefpodoxime",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "20489",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
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+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					},
+					{
+						"concept" : {
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+					{
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+					{
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+					{
+						"concept" : {
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+					{
+						"concept" : {
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+					{
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+					{
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+					{
+						"concept" : {
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+					},
+					{
+						"concept" : {
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+					},
+					{
+						"concept" : {
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+					},
+					{
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					{
+						"concept" : {
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+					{
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+						"includeMapped" : false
+					},
+					{
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+							"DOMAIN_ID" : "Drug",
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+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
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+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"DOMAIN_ID" : "Drug",
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+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
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+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Cefmenoxime Topical Solution",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"DOMAIN_ID" : "Drug",
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+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
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+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Ceftazidime Ophthalmic Solution",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40020954,
+							"CONCEPT_NAME" : "cefuroxime Ophthalmic Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "377415",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 10,
+			"GapDays" : 30,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1045.json b/tests/cohorts/1045.json
new file mode 100644
index 00000000..1940c5d1
--- /dev/null
+++ b/tests/cohorts/1045.json
@@ -0,0 +1,238 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 11,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 11,
+			"name" : "[HowOften] Trimethoprim systemetic",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40081374,
+							"CONCEPT_NAME" : "sulfamethoxazole / trimethoprim Injectable Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "377117",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36882762,
+							"CONCEPT_NAME" : "Sulfamethoxazole / Trimethoprim Injectable Suspension",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP994039",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40220482,
+							"CONCEPT_NAME" : "sulfamethoxazole / trimethoprim Injection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1809082",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35153537,
+							"CONCEPT_NAME" : "Sulfamethoxazole / Trimethoprim Oral Granules",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4810565",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40147374,
+							"CONCEPT_NAME" : "sulfamethoxazole / trimethoprim Oral Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "757319",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40081379,
+							"CONCEPT_NAME" : "sulfamethoxazole / trimethoprim Oral Suspension",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "374233",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40081388,
+							"CONCEPT_NAME" : "sulfamethoxazole / trimethoprim Oral Tablet",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "374234",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1705674,
+							"CONCEPT_NAME" : "trimethoprim",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "10829",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40073114,
+							"CONCEPT_NAME" : "polymyxin B / trimethoprim Ophthalmic Ointment",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "376523",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40073115,
+							"CONCEPT_NAME" : "polymyxin B / trimethoprim Ophthalmic Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "379128",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40180925,
+							"CONCEPT_NAME" : "sulfamethazine / trimethoprim Topical Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "991879",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 11,
+			"GapDays" : 30,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1046.json b/tests/cohorts/1046.json
new file mode 100644
index 00000000..9697c9a3
--- /dev/null
+++ b/tests/cohorts/1046.json
@@ -0,0 +1,198 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 0,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "[HowOften] Thiazide or thiazide-like diuretics",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1395058,
+							"CONCEPT_NAME" : "chlorthalidone",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2409",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 974166,
+							"CONCEPT_NAME" : "hydrochlorothiazide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "5487",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 978555,
+							"CONCEPT_NAME" : "indapamide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "5764",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 907013,
+							"CONCEPT_NAME" : "metolazone",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "6916",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 1,
+			"name" : "Essential hypertension",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 320128,
+							"CONCEPT_NAME" : "Essential hypertension",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "59621000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 316866,
+							"CONCEPT_NAME" : "Hypertensive disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "38341003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in essential hypertension",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 1,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 0,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1047.json b/tests/cohorts/1047.json
new file mode 100644
index 00000000..0398d446
--- /dev/null
+++ b/tests/cohorts/1047.json
@@ -0,0 +1,232 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 1,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 1,
+			"name" : "[HowOften] Dihydropyridine calcium channel blockers (dCCB)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1332418,
+							"CONCEPT_NAME" : "amlodipine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17767",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1353776,
+							"CONCEPT_NAME" : "felodipine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "4316",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1326012,
+							"CONCEPT_NAME" : "isradipine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "33910",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1318137,
+							"CONCEPT_NAME" : "nicardipine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7396",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1318853,
+							"CONCEPT_NAME" : "nifedipine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7417",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1319880,
+							"CONCEPT_NAME" : "nisoldipine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7435",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 2,
+			"name" : "Essential hypertension",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 320128,
+							"CONCEPT_NAME" : "Essential hypertension",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "59621000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 316866,
+							"CONCEPT_NAME" : "Hypertensive disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "38341003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in essential hypertension",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 2,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 1,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1048.json b/tests/cohorts/1048.json
new file mode 100644
index 00000000..7b6164e4
--- /dev/null
+++ b/tests/cohorts/1048.json
@@ -0,0 +1,153 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 1,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 1,
+			"name" : "[HowOften] Dihydropyridine calcium channel blockers (dCCB)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1332418,
+							"CONCEPT_NAME" : "amlodipine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17767",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1353776,
+							"CONCEPT_NAME" : "felodipine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "4316",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1326012,
+							"CONCEPT_NAME" : "isradipine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "33910",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1318137,
+							"CONCEPT_NAME" : "nicardipine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7396",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1318853,
+							"CONCEPT_NAME" : "nifedipine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7417",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1319880,
+							"CONCEPT_NAME" : "nisoldipine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7435",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 1,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1049.json b/tests/cohorts/1049.json
new file mode 100644
index 00000000..14ed8591
--- /dev/null
+++ b/tests/cohorts/1049.json
@@ -0,0 +1,334 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 2,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 2,
+			"name" : "[HowOften] Beta blockers",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1319998,
+							"CONCEPT_NAME" : "acebutolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "149",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1314002,
+							"CONCEPT_NAME" : "atenolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1202",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1322081,
+							"CONCEPT_NAME" : "betaxolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1520",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1338005,
+							"CONCEPT_NAME" : "bisoprolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "19484",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1346823,
+							"CONCEPT_NAME" : "carvedilol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "20352",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1386957,
+							"CONCEPT_NAME" : "labetalol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "6185",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1307046,
+							"CONCEPT_NAME" : "metoprolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "6918",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1313200,
+							"CONCEPT_NAME" : "nadolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7226",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1314577,
+							"CONCEPT_NAME" : "nebivolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "31555",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1327978,
+							"CONCEPT_NAME" : "penbutolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7973",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1345858,
+							"CONCEPT_NAME" : "pindolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8332",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1353766,
+							"CONCEPT_NAME" : "propranolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8787",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 3,
+			"name" : "Essential hypertension",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 320128,
+							"CONCEPT_NAME" : "Essential hypertension",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "59621000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 316866,
+							"CONCEPT_NAME" : "Hypertensive disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "38341003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in essential hypertension",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 3,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 2,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1050.json b/tests/cohorts/1050.json
new file mode 100644
index 00000000..8fdc9a35
--- /dev/null
+++ b/tests/cohorts/1050.json
@@ -0,0 +1,589 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 2,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 2,
+			"name" : "[HowOften] Beta blockers",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1319998,
+							"CONCEPT_NAME" : "acebutolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "149",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1314002,
+							"CONCEPT_NAME" : "atenolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1202",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1322081,
+							"CONCEPT_NAME" : "betaxolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1520",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1338005,
+							"CONCEPT_NAME" : "bisoprolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "19484",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1346823,
+							"CONCEPT_NAME" : "carvedilol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "20352",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1386957,
+							"CONCEPT_NAME" : "labetalol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "6185",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1307046,
+							"CONCEPT_NAME" : "metoprolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "6918",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1313200,
+							"CONCEPT_NAME" : "nadolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7226",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1314577,
+							"CONCEPT_NAME" : "nebivolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "31555",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1327978,
+							"CONCEPT_NAME" : "penbutolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7973",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1345858,
+							"CONCEPT_NAME" : "pindolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8332",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1353766,
+							"CONCEPT_NAME" : "propranolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8787",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 4,
+			"name" : "Left Heart Failure",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 442310,
+							"CONCEPT_NAME" : "Acute heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "56675007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4195785,
+							"CONCEPT_NAME" : "Right heart failure secondary to left heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "44313006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 444031,
+							"CONCEPT_NAME" : "Chronic heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "48447003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443587,
+							"CONCEPT_NAME" : "Diastolic heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "418304008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 439846,
+							"CONCEPT_NAME" : "Left heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "85232009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443580,
+							"CONCEPT_NAME" : "Systolic heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "417996009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 444101,
+							"CONCEPT_NAME" : "Hypertensive heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46113002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 319835,
+							"CONCEPT_NAME" : "Congestive heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "42343007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43020910,
+							"CONCEPT_NAME" : "Pulmonary hypertension due to left heart disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "472790001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37309625,
+							"CONCEPT_NAME" : "Acute on chronic right-sided congestive heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "16838951000119100",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4215446,
+							"CONCEPT_NAME" : "Acute right-sided congestive heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "80479009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4233424,
+							"CONCEPT_NAME" : "Acute right-sided heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "359617009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4284562,
+							"CONCEPT_NAME" : "Chronic right-sided congestive heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "66989003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4014159,
+							"CONCEPT_NAME" : "Chronic right-sided heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "10335000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44782713,
+							"CONCEPT_NAME" : "Congestive heart failure with right heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "23341000119109",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 312927,
+							"CONCEPT_NAME" : "Acute cor pulmonale",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "49584005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 608954,
+							"CONCEPT_NAME" : "Acute cor pulmonale due to septic pulmonary embolism",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "15964661000119102",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Left Heart Failure",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 4,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 2,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1051.json b/tests/cohorts/1051.json
new file mode 100644
index 00000000..58071717
--- /dev/null
+++ b/tests/cohorts/1051.json
@@ -0,0 +1,453 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 3,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 3,
+			"name" : "[HowOften] SGLT2 inhibitors",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 793293,
+							"CONCEPT_NAME" : "ertugliflozin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1992672",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43526465,
+							"CONCEPT_NAME" : "canagliflozin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1373458",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44785829,
+							"CONCEPT_NAME" : "dapagliflozin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1488564",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45774751,
+							"CONCEPT_NAME" : "empagliflozin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1545653",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 4,
+			"name" : "Left Heart Failure",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 442310,
+							"CONCEPT_NAME" : "Acute heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "56675007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4195785,
+							"CONCEPT_NAME" : "Right heart failure secondary to left heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "44313006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 444031,
+							"CONCEPT_NAME" : "Chronic heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "48447003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443587,
+							"CONCEPT_NAME" : "Diastolic heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "418304008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 439846,
+							"CONCEPT_NAME" : "Left heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "85232009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443580,
+							"CONCEPT_NAME" : "Systolic heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "417996009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 444101,
+							"CONCEPT_NAME" : "Hypertensive heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46113002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 319835,
+							"CONCEPT_NAME" : "Congestive heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "42343007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43020910,
+							"CONCEPT_NAME" : "Pulmonary hypertension due to left heart disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "472790001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37309625,
+							"CONCEPT_NAME" : "Acute on chronic right-sided congestive heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "16838951000119100",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4215446,
+							"CONCEPT_NAME" : "Acute right-sided congestive heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "80479009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4233424,
+							"CONCEPT_NAME" : "Acute right-sided heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "359617009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4284562,
+							"CONCEPT_NAME" : "Chronic right-sided congestive heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "66989003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4014159,
+							"CONCEPT_NAME" : "Chronic right-sided heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "10335000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44782713,
+							"CONCEPT_NAME" : "Congestive heart failure with right heart failure",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "23341000119109",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 312927,
+							"CONCEPT_NAME" : "Acute cor pulmonale",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "49584005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 608954,
+							"CONCEPT_NAME" : "Acute cor pulmonale due to septic pulmonary embolism",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "15964661000119102",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Left Heart Failure",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 4,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 3,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1052.json b/tests/cohorts/1052.json
new file mode 100644
index 00000000..73f2c39b
--- /dev/null
+++ b/tests/cohorts/1052.json
@@ -0,0 +1,438 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 2,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 2,
+			"name" : "[HowOften] Beta blockers",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1319998,
+							"CONCEPT_NAME" : "acebutolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "149",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1314002,
+							"CONCEPT_NAME" : "atenolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1202",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1322081,
+							"CONCEPT_NAME" : "betaxolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1520",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1338005,
+							"CONCEPT_NAME" : "bisoprolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "19484",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1346823,
+							"CONCEPT_NAME" : "carvedilol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "20352",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1386957,
+							"CONCEPT_NAME" : "labetalol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "6185",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1307046,
+							"CONCEPT_NAME" : "metoprolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "6918",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1313200,
+							"CONCEPT_NAME" : "nadolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7226",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1314577,
+							"CONCEPT_NAME" : "nebivolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "31555",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1327978,
+							"CONCEPT_NAME" : "penbutolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7973",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1345858,
+							"CONCEPT_NAME" : "pindolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8332",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1353766,
+							"CONCEPT_NAME" : "propranolol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8787",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 5,
+			"name" : "[HowOften] Acute myocardial Infarction",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4329847,
+							"CONCEPT_NAME" : "Myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "22298006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 314666,
+							"CONCEPT_NAME" : "Old myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1755008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 6,
+			"name" : "[HowOften] Inpatient or ER visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9203,
+							"CONCEPT_NAME" : "Emergency Room Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ER",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Acute myocardial infarction",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CorrelatedCriteria" : {
+									"Type" : "ALL",
+									"CriteriaList" : [
+										{
+											"Criteria" : {
+												"VisitOccurrence" : {
+													"CodesetId" : 6,
+													"VisitTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"EndWindow" : {
+												"Start" : {
+													"Days" : 0,
+													"Coeff" : -1
+												},
+												"End" : {
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : true
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : false,
+											"Occurrence" : {
+												"Type" : 2,
+												"Count" : 1,
+												"IsDistinct" : false
+											}
+										}
+									],
+									"DemographicCriteriaList" : [],
+									"Groups" : []
+								},
+								"CodesetId" : 5,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 2,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1053.json b/tests/cohorts/1053.json
new file mode 100644
index 00000000..9bf1b2b1
--- /dev/null
+++ b/tests/cohorts/1053.json
@@ -0,0 +1,647 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 4,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 4,
+			"name" : "[HowOften] GLP-1 receptor antagonists",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45774435,
+							"CONCEPT_NAME" : "dulaglutide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1551291",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44816332,
+							"CONCEPT_NAME" : "albiglutide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1534763",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40170911,
+							"CONCEPT_NAME" : "liraglutide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "475968",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 793143,
+							"CONCEPT_NAME" : "semaglutide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1991302",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1583722,
+							"CONCEPT_NAME" : "exenatide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "60548",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44506754,
+							"CONCEPT_NAME" : "lixisenatide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1440051",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 5,
+			"name" : "[PL] Type 2 diabetes mellitus (diabetes mellitus excluding T1DM and secondary)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443238,
+							"CONCEPT_NAME" : "Diabetic - poor control",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "268519009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201820,
+							"CONCEPT_NAME" : "Diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "73211009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 442793,
+							"CONCEPT_NAME" : "Complication due to diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "74627003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40484648,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus uncontrolled",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "444073006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201254,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46635009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435216,
+							"CONCEPT_NAME" : "Disorder due to type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "420868002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201254,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46635009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 195771,
+							"CONCEPT_NAME" : "Secondary diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8801005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4058243,
+							"CONCEPT_NAME" : "Diabetes mellitus during pregnancy, childbirth and the puerperium",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "199223000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 761051,
+							"CONCEPT_NAME" : "Complication due to secondary diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "138811000119100",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 6,
+			"name" : "[PL] Type 1 Diabetes Mellitus",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40484649,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus well controlled",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "444074000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42689695,
+							"CONCEPT_NAME" : "Eating disorder co-occurrent with diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1067201000000106",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 765533,
+							"CONCEPT_NAME" : "Glaucoma due to diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "60981000119103",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43531006,
+							"CONCEPT_NAME" : "Maturity onset diabetes of the young, type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "609562003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 765650,
+							"CONCEPT_NAME" : "Cranial nerve palsy due to diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "U",
+							"INVALID_REASON_CAPTION" : "Invalid",
+							"CONCEPT_CODE" : "82561000119101",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45770986,
+							"CONCEPT_NAME" : "Retinopathy due to unstable diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "706894000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201254,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46635009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45768456,
+							"CONCEPT_NAME" : "Neuropathy due to unstable diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "706891008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40484648,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus uncontrolled",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "444073006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4128019,
+							"CONCEPT_NAME" : "Brittle type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "290002008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435216,
+							"CONCEPT_NAME" : "Disorder due to type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "420868002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 7,
+			"name" : "[PL] Secondary diabetes mellitus",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 195771,
+							"CONCEPT_NAME" : "Secondary diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8801005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in type 2 diabetes mellitus",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CorrelatedCriteria" : {
+									"Type" : "ALL",
+									"CriteriaList" : [
+										{
+											"Criteria" : {
+												"ConditionOccurrence" : {
+													"CodesetId" : 6,
+													"ConditionTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : true,
+											"Occurrence" : {
+												"Type" : 0,
+												"Count" : 0,
+												"IsDistinct" : false
+											}
+										},
+										{
+											"Criteria" : {
+												"ConditionOccurrence" : {
+													"CodesetId" : 7,
+													"ConditionTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : true,
+											"Occurrence" : {
+												"Type" : 0,
+												"Count" : 0,
+												"IsDistinct" : false
+											}
+										}
+									],
+									"DemographicCriteriaList" : [],
+									"Groups" : []
+								},
+								"CodesetId" : 5,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 4,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1054.json b/tests/cohorts/1054.json
new file mode 100644
index 00000000..3e802ab9
--- /dev/null
+++ b/tests/cohorts/1054.json
@@ -0,0 +1,613 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 3,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 3,
+			"name" : "[HowOften] SGLT2 inhibitors",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 793293,
+							"CONCEPT_NAME" : "ertugliflozin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1992672",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43526465,
+							"CONCEPT_NAME" : "canagliflozin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1373458",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44785829,
+							"CONCEPT_NAME" : "dapagliflozin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1488564",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45774751,
+							"CONCEPT_NAME" : "empagliflozin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1545653",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 4,
+			"name" : "[PL] Type 2 diabetes mellitus (diabetes mellitus excluding T1DM and secondary)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443238,
+							"CONCEPT_NAME" : "Diabetic - poor control",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "268519009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201820,
+							"CONCEPT_NAME" : "Diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "73211009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 442793,
+							"CONCEPT_NAME" : "Complication due to diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "74627003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40484648,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus uncontrolled",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "444073006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201254,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46635009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435216,
+							"CONCEPT_NAME" : "Disorder due to type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "420868002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201254,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46635009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 195771,
+							"CONCEPT_NAME" : "Secondary diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8801005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4058243,
+							"CONCEPT_NAME" : "Diabetes mellitus during pregnancy, childbirth and the puerperium",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "199223000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 761051,
+							"CONCEPT_NAME" : "Complication due to secondary diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "138811000119100",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 5,
+			"name" : "[PL] Type 1 Diabetes Mellitus",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40484649,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus well controlled",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "444074000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42689695,
+							"CONCEPT_NAME" : "Eating disorder co-occurrent with diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1067201000000106",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 765533,
+							"CONCEPT_NAME" : "Glaucoma due to diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "60981000119103",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43531006,
+							"CONCEPT_NAME" : "Maturity onset diabetes of the young, type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "609562003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 765650,
+							"CONCEPT_NAME" : "Cranial nerve palsy due to diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "U",
+							"INVALID_REASON_CAPTION" : "Invalid",
+							"CONCEPT_CODE" : "82561000119101",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45770986,
+							"CONCEPT_NAME" : "Retinopathy due to unstable diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "706894000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201254,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46635009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45768456,
+							"CONCEPT_NAME" : "Neuropathy due to unstable diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "706891008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40484648,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus uncontrolled",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "444073006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4128019,
+							"CONCEPT_NAME" : "Brittle type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "290002008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435216,
+							"CONCEPT_NAME" : "Disorder due to type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "420868002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 6,
+			"name" : "[PL] Secondary diabetes mellitus",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 195771,
+							"CONCEPT_NAME" : "Secondary diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8801005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Type 2 diabetes mellitus",
+			"expression" : {
+				"Type" : "ANY",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CorrelatedCriteria" : {
+									"Type" : "ALL",
+									"CriteriaList" : [
+										{
+											"Criteria" : {
+												"ConditionOccurrence" : {
+													"CodesetId" : 5,
+													"ConditionTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : true,
+											"Occurrence" : {
+												"Type" : 0,
+												"Count" : 0,
+												"IsDistinct" : false
+											}
+										},
+										{
+											"Criteria" : {
+												"ConditionOccurrence" : {
+													"CodesetId" : 6,
+													"ConditionTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : true,
+											"Occurrence" : {
+												"Type" : 0,
+												"Count" : 0,
+												"IsDistinct" : false
+											}
+										}
+									],
+									"DemographicCriteriaList" : [],
+									"Groups" : []
+								},
+								"CodesetId" : 4,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 3,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1055.json b/tests/cohorts/1055.json
new file mode 100644
index 00000000..a57ccd25
--- /dev/null
+++ b/tests/cohorts/1055.json
@@ -0,0 +1,630 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 5,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 5,
+			"name" : "[HowOften] DPP4 Inhibitors",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40166035,
+							"CONCEPT_NAME" : "saxagliptin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "857974",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40239216,
+							"CONCEPT_NAME" : "linagliptin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1100699",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43013884,
+							"CONCEPT_NAME" : "alogliptin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1368001",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19122137,
+							"CONCEPT_NAME" : "vildagliptin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "596554",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1580747,
+							"CONCEPT_NAME" : "sitagliptin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "593411",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 6,
+			"name" : "[PL] Type 2 diabetes mellitus (diabetes mellitus excluding T1DM and secondary)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443238,
+							"CONCEPT_NAME" : "Diabetic - poor control",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "268519009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201820,
+							"CONCEPT_NAME" : "Diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "73211009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 442793,
+							"CONCEPT_NAME" : "Complication due to diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "74627003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40484648,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus uncontrolled",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "444073006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201254,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46635009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435216,
+							"CONCEPT_NAME" : "Disorder due to type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "420868002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201254,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46635009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 195771,
+							"CONCEPT_NAME" : "Secondary diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8801005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4058243,
+							"CONCEPT_NAME" : "Diabetes mellitus during pregnancy, childbirth and the puerperium",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "199223000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 761051,
+							"CONCEPT_NAME" : "Complication due to secondary diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "138811000119100",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 7,
+			"name" : "[PL] Type 1 Diabetes Mellitus",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40484649,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus well controlled",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "444074000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42689695,
+							"CONCEPT_NAME" : "Eating disorder co-occurrent with diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1067201000000106",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 765533,
+							"CONCEPT_NAME" : "Glaucoma due to diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "60981000119103",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43531006,
+							"CONCEPT_NAME" : "Maturity onset diabetes of the young, type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "609562003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 765650,
+							"CONCEPT_NAME" : "Cranial nerve palsy due to diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "U",
+							"INVALID_REASON_CAPTION" : "Invalid",
+							"CONCEPT_CODE" : "82561000119101",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45770986,
+							"CONCEPT_NAME" : "Retinopathy due to unstable diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "706894000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201254,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46635009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45768456,
+							"CONCEPT_NAME" : "Neuropathy due to unstable diabetes mellitus type 1",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "706891008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40484648,
+							"CONCEPT_NAME" : "Type 1 diabetes mellitus uncontrolled",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "444073006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4128019,
+							"CONCEPT_NAME" : "Brittle type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "290002008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435216,
+							"CONCEPT_NAME" : "Disorder due to type 1 diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "420868002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 8,
+			"name" : "[PL] Secondary diabetes mellitus",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 195771,
+							"CONCEPT_NAME" : "Secondary diabetes mellitus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8801005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in type 2 diabetes mellitus",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CorrelatedCriteria" : {
+									"Type" : "ALL",
+									"CriteriaList" : [
+										{
+											"Criteria" : {
+												"ConditionOccurrence" : {
+													"CodesetId" : 7,
+													"ConditionTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : true,
+											"Occurrence" : {
+												"Type" : 0,
+												"Count" : 0,
+												"IsDistinct" : false
+											}
+										},
+										{
+											"Criteria" : {
+												"ConditionOccurrence" : {
+													"CodesetId" : 8,
+													"ConditionTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : true,
+											"Occurrence" : {
+												"Type" : 0,
+												"Count" : 0,
+												"IsDistinct" : false
+											}
+										}
+									],
+									"DemographicCriteriaList" : [],
+									"Groups" : []
+								},
+								"CodesetId" : 6,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 5,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1056.json b/tests/cohorts/1056.json
new file mode 100644
index 00000000..d42ef79d
--- /dev/null
+++ b/tests/cohorts/1056.json
@@ -0,0 +1,536 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 4,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 4,
+			"name" : "[HowOften] GLP-1 receptor antagonists",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45774435,
+							"CONCEPT_NAME" : "dulaglutide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1551291",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44816332,
+							"CONCEPT_NAME" : "albiglutide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1534763",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40170911,
+							"CONCEPT_NAME" : "liraglutide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "475968",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 793143,
+							"CONCEPT_NAME" : "semaglutide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1991302",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1583722,
+							"CONCEPT_NAME" : "exenatide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "60548",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44506754,
+							"CONCEPT_NAME" : "lixisenatide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1440051",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 5,
+			"name" : "[PL] Obesity diagnoses",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4215968,
+							"CONCEPT_NAME" : "Obese",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "414915002",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4176962,
+							"CONCEPT_NAME" : "Obesity associated disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "363247006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 6,
+			"name" : "[PL] BMI measurement",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 3038553,
+							"CONCEPT_NAME" : "Body mass index (BMI) [Ratio]",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "39156-5",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : "Clinical Observation"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36304833,
+							"CONCEPT_NAME" : "Body mass index (BMI) [Ratio] Estimated",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "89270-3",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : "Clinical Observation"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 7,
+			"name" : "[PL] Body weight",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 3025315,
+							"CONCEPT_NAME" : "Body weight",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "29463-7",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : "Clinical Observation"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4099154,
+							"CONCEPT_NAME" : "Body weight",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "27113001",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Observable Entity"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 3013762,
+							"CONCEPT_NAME" : "Body weight Measured",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3141-9",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : "Clinical Observation"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 3027492,
+							"CONCEPT_NAME" : "Dry body weight Measured",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8341-0",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : "Clinical Observation"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 3023166,
+							"CONCEPT_NAME" : "Body weight Stated",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3142-7",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : "Clinical Observation"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4264825,
+							"CONCEPT_NAME" : "Birth weight",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "364589006",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Observable Entity"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in obesity",
+			"expression" : {
+				"Type" : "ANY",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"Measurement" : {
+								"CodesetId" : 6,
+								"MeasurementTypeExclude" : false,
+								"ValueAsNumber" : {
+									"Value" : 30,
+									"Op" : "bt",
+									"Extent" : 60
+								}
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"Measurement" : {
+								"CodesetId" : 7,
+								"MeasurementTypeExclude" : false,
+								"ValueAsNumber" : {
+									"Value" : 265,
+									"Op" : "bt",
+									"Extent" : 440
+								},
+								"Unit" : [
+									{
+										"CONCEPT_ID" : 8739,
+										"CONCEPT_NAME" : "pound (US)",
+										"STANDARD_CONCEPT" : null,
+										"STANDARD_CONCEPT_CAPTION" : "Unknown",
+										"INVALID_REASON" : null,
+										"INVALID_REASON_CAPTION" : "Unknown",
+										"CONCEPT_CODE" : "[lb_us]",
+										"DOMAIN_ID" : "Unit",
+										"VOCABULARY_ID" : "UCUM",
+										"CONCEPT_CLASS_ID" : null
+									}
+								]
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"Measurement" : {
+								"CodesetId" : 7,
+								"MeasurementTypeExclude" : false,
+								"ValueAsNumber" : {
+									"Value" : 120,
+									"Op" : "bt",
+									"Extent" : 200
+								},
+								"Unit" : [
+									{
+										"CONCEPT_ID" : 9529,
+										"CONCEPT_NAME" : "kilogram",
+										"STANDARD_CONCEPT" : null,
+										"STANDARD_CONCEPT_CAPTION" : "Unknown",
+										"INVALID_REASON" : null,
+										"INVALID_REASON_CAPTION" : "Unknown",
+										"CONCEPT_CODE" : "kg",
+										"DOMAIN_ID" : "Unit",
+										"VOCABULARY_ID" : "UCUM",
+										"CONCEPT_CLASS_ID" : null
+									}
+								]
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 5,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"Observation" : {
+								"CodesetId" : 5,
+								"ObservationTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 4,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1057.json b/tests/cohorts/1057.json
new file mode 100644
index 00000000..6cba7394
--- /dev/null
+++ b/tests/cohorts/1057.json
@@ -0,0 +1,198 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 8,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 8,
+			"name" : "[HowOften] IL23 inhibitors",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35200139,
+							"CONCEPT_NAME" : "tildrakizumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2053436",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1511348,
+							"CONCEPT_NAME" : "risankizumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2166040",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1593700,
+							"CONCEPT_NAME" : "guselkumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1928588",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 9,
+			"name" : "Plaque psoriasis",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 140168,
+							"CONCEPT_NAME" : "Psoriasis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "9014002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4307925,
+							"CONCEPT_NAME" : "Psoriasis vulgaris",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "200975007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4063431,
+							"CONCEPT_NAME" : "Plaque psoriasis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "200965009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Plaque psoriasis",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 9,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 8,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1058.json b/tests/cohorts/1058.json
new file mode 100644
index 00000000..ee53def0
--- /dev/null
+++ b/tests/cohorts/1058.json
@@ -0,0 +1,232 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 6,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 6,
+			"name" : "[HowOften] TNF inhibitors",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19041065,
+							"CONCEPT_NAME" : "golimumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "819300",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 912263,
+							"CONCEPT_NAME" : "certolizumab pegol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "709271",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 937368,
+							"CONCEPT_NAME" : "infliximab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191831",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1151789,
+							"CONCEPT_NAME" : "etanercept",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "214555",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1119119,
+							"CONCEPT_NAME" : "adalimumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "327361",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 7,
+			"name" : "Plaque psoriasis",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 140168,
+							"CONCEPT_NAME" : "Psoriasis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "9014002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4307925,
+							"CONCEPT_NAME" : "Psoriasis vulgaris",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "200975007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4063431,
+							"CONCEPT_NAME" : "Plaque psoriasis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "200965009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Plaque psoriasis",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 7,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 6,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1059.json b/tests/cohorts/1059.json
new file mode 100644
index 00000000..5f3c809c
--- /dev/null
+++ b/tests/cohorts/1059.json
@@ -0,0 +1,495 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 6,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 6,
+			"name" : "[HowOften] TNF inhibitors",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19041065,
+							"CONCEPT_NAME" : "golimumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "819300",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 912263,
+							"CONCEPT_NAME" : "certolizumab pegol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "709271",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 937368,
+							"CONCEPT_NAME" : "infliximab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191831",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1151789,
+							"CONCEPT_NAME" : "etanercept",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "214555",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1119119,
+							"CONCEPT_NAME" : "adalimumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "327361",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 7,
+			"name" : "Psoriatic arthritis (exclude mutilans)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 81931,
+							"CONCEPT_NAME" : "Psoriasis with arthropathy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "33339001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40319772,
+							"CONCEPT_NAME" : "Psoriatic arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "156370009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4025831,
+							"CONCEPT_NAME" : "Arthritis mutilans",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "19514005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 8,
+			"name" : "Psoriasis",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 140168,
+							"CONCEPT_NAME" : "Psoriasis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "9014002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 9,
+			"name" : "Arthropathy",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 80809,
+							"CONCEPT_NAME" : "Rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "69896004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 81097,
+							"CONCEPT_NAME" : "Felty's syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "57160007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 72714,
+							"CONCEPT_NAME" : "Chronic polyarticular juvenile rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1961000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 75621,
+							"CONCEPT_NAME" : "Acute polyarticular juvenile rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "75822003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 72705,
+							"CONCEPT_NAME" : "Pauciarticular juvenile rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "74391003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 75622,
+							"CONCEPT_NAME" : "Monarticular juvenile rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "201799006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 75897,
+							"CONCEPT_NAME" : "Polyarthropathy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "36186002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 79903,
+							"CONCEPT_NAME" : "Effusion of joint",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "387637008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4153359,
+							"CONCEPT_NAME" : "Arthritis of spine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "371082009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 437082,
+							"CONCEPT_NAME" : "Ankylosing spondylitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "9631008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Psoriatic Arthritis",
+			"expression" : {
+				"Type" : "ANY",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 7,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CorrelatedCriteria" : {
+									"Type" : "ALL",
+									"CriteriaList" : [
+										{
+											"Criteria" : {
+												"ConditionOccurrence" : {
+													"CodesetId" : 8,
+													"ConditionTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Days" : 60,
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 60,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : false,
+											"Occurrence" : {
+												"Type" : 2,
+												"Count" : 1,
+												"IsDistinct" : false
+											}
+										}
+									],
+									"DemographicCriteriaList" : [],
+									"Groups" : []
+								},
+								"CodesetId" : 9,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 6,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1060.json b/tests/cohorts/1060.json
new file mode 100644
index 00000000..cf2ea911
--- /dev/null
+++ b/tests/cohorts/1060.json
@@ -0,0 +1,1831 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 9,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 9,
+			"name" : "[HowOften] fluoroquinolone systemic",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1721543,
+							"CONCEPT_NAME" : "norfloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7517",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35198003,
+							"CONCEPT_NAME" : "pazufloxacin mesilate",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4819368",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1747032,
+							"CONCEPT_NAME" : "grepafloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "83719",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19041153,
+							"CONCEPT_NAME" : "temafloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "37771",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1592954,
+							"CONCEPT_NAME" : "delafloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1927663",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1716721,
+							"CONCEPT_NAME" : "gemifloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "138099",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
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+					{
+						"concept" : {
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+					},
+					{
+						"concept" : {
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+					{
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+					{
+						"concept" : {
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+					{
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+					{
+						"concept" : {
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
+						"concept" : {
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+						"concept" : {
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+					{
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+					{
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+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					},
+					{
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+					},
+					{
+						"concept" : {
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+					{
+						"concept" : {
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+					{
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+					},
+					{
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+					},
+					{
+						"concept" : {
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+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
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+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "norfloxacin Ophthalmic Ointment",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
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+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "norfloxacin Ophthalmic Solution",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
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+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Ofloxacin Ophthalmic Ointment",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP672324",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
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+					{
+						"concept" : {
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "236379002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 195588,
+							"CONCEPT_NAME" : "Cystitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "38822007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 198806,
+							"CONCEPT_NAME" : "Abscess of prostate",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "8725005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4126267,
+							"CONCEPT_NAME" : "Chronic radiation cystitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "236629009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 194997,
+							"CONCEPT_NAME" : "Prostatitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "9713002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4077499,
+							"CONCEPT_NAME" : "Sterile pyuria",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "275742001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 442345,
+							"CONCEPT_NAME" : "Syphilis of kidney",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "59530001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4062493,
+							"CONCEPT_NAME" : "Mumps nephritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17121006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45757237,
+							"CONCEPT_NAME" : "Diphtheria tubulointerstitial nephropathy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1086071000119103",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36714969,
+							"CONCEPT_NAME" : "Asymptomatic bacteriuria",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "720406004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 195743,
+							"CONCEPT_NAME" : "Diphtheritic cystitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "48278001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201353,
+							"CONCEPT_NAME" : "Irradiation cystitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "11251000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4047937,
+							"CONCEPT_NAME" : "Neonatal urinary tract infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "12301009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201792,
+							"CONCEPT_NAME" : "Nongonococcal urethritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "84619001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4128384,
+							"CONCEPT_NAME" : "Non-infective cystitis",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "D",
+							"INVALID_REASON_CAPTION" : "Invalid",
+							"CONCEPT_CODE" : "236623005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 78357,
+							"CONCEPT_NAME" : "Reactive arthritis triad",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "67224007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 195313,
+							"CONCEPT_NAME" : "Urethral abscess",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "67277002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 197919,
+							"CONCEPT_NAME" : "Urethral stricture due to infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "80375002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 439349,
+							"CONCEPT_NAME" : "Cystitis associated with another disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "197845000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4227291,
+							"CONCEPT_NAME" : "Hemorrhagic cystitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "87696004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4060312,
+							"CONCEPT_NAME" : "Infections of urethra in pregnancy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "199206009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4127564,
+							"CONCEPT_NAME" : "Acute cystitis - culture-negative",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "236624004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4126141,
+							"CONCEPT_NAME" : "Chronic cystitis - culture negative",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "236626002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4127565,
+							"CONCEPT_NAME" : "Recurrent cystitis - culture-negative",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "236625003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4207186,
+							"CONCEPT_NAME" : "Viral infection by site",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "U",
+							"INVALID_REASON_CAPTION" : "Invalid",
+							"CONCEPT_CODE" : "312130009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4207190,
+							"CONCEPT_NAME" : "Fungal infection by site",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "U",
+							"INVALID_REASON_CAPTION" : "Invalid",
+							"CONCEPT_CODE" : "312146001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 434557,
+							"CONCEPT_NAME" : "Tuberculosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "56717001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 432251,
+							"CONCEPT_NAME" : "Disease caused by parasite",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17322007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36102152,
+							"CONCEPT_NAME" : "Protozoal infectious disorders",
+							"STANDARD_CONCEPT" : "C",
+							"STANDARD_CONCEPT_CAPTION" : "Classification",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "10037072",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "MedDRA",
+							"CONCEPT_CLASS_ID" : "HLGT"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433417,
+							"CONCEPT_NAME" : "Gonorrhea",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "15628003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36102938,
+							"CONCEPT_NAME" : "Chlamydial infections",
+							"STANDARD_CONCEPT" : "C",
+							"STANDARD_CONCEPT_CAPTION" : "Classification",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "10008561",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "MedDRA",
+							"CONCEPT_CLASS_ID" : "HLT"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Urinary Tract Infection",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 10,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 9,
+			"GapDays" : 30,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1061.json b/tests/cohorts/1061.json
new file mode 100644
index 00000000..15f0cbd5
--- /dev/null
+++ b/tests/cohorts/1061.json
@@ -0,0 +1,1525 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 10,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 10,
+			"name" : "[HowOften] cephalosporin systematic",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40798709,
+							"CONCEPT_NAME" : "Cefacetrile",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP2721059",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1796435,
+							"CONCEPT_NAME" : "cefixime",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "25033",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40798704,
+							"CONCEPT_NAME" : "Cefmenoxime",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP2721061",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19072255,
+							"CONCEPT_NAME" : "cefmetazole",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2182",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43008993,
+							"CONCEPT_NAME" : "cefminox sodium",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4700419",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19028286,
+							"CONCEPT_NAME" : "cefodizime",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "20485",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19072857,
+							"CONCEPT_NAME" : "cefonicid",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2183",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1773402,
+							"CONCEPT_NAME" : "cefoperazone",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2184",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19028288,
+							"CONCEPT_NAME" : "ceforanide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "20486",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1774470,
+							"CONCEPT_NAME" : "cefotaxime",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2186",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1774932,
+							"CONCEPT_NAME" : "cefotetan",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2187",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19051271,
+							"CONCEPT_NAME" : "cefotiam",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2188",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1775741,
+							"CONCEPT_NAME" : "cefoxitin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2189",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43009045,
+							"CONCEPT_NAME" : "cefpiramide sodium",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4700471",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1749008,
+							"CONCEPT_NAME" : "cefpodoxime",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "20489",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1738366,
+							"CONCEPT_NAME" : "cefprozil",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "19552",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43009083,
+							"CONCEPT_NAME" : "cefroxadine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4700509",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19051345,
+							"CONCEPT_NAME" : "cefsulodin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2190",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1776684,
+							"CONCEPT_NAME" : "ceftazidime",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2191",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35198137,
+							"CONCEPT_NAME" : "cefteram pivoxil",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4819502",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43008994,
+							"CONCEPT_NAME" : "ceftezole sodium",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4700420",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1749083,
+							"CONCEPT_NAME" : "ceftibuten",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "20492",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1777254,
+							"CONCEPT_NAME" : "ceftizoxime",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2192",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1777806,
+							"CONCEPT_NAME" : "ceftriaxone",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2193",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1778162,
+							"CONCEPT_NAME" : "cefuroxime",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2194",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1786621,
+							"CONCEPT_NAME" : "cephalexin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2231",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19052683,
+							"CONCEPT_NAME" : "cephaloridine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2233",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19086759,
+							"CONCEPT_NAME" : "cephalothin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2236",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19086790,
+							"CONCEPT_NAME" : "cephapirin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2238",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1786842,
+							"CONCEPT_NAME" : "cephradine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2239",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43009087,
+							"CONCEPT_NAME" : "flomoxef sodium",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4700513",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1708100,
+							"CONCEPT_NAME" : "loracarbef",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "28981",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19126622,
+							"CONCEPT_NAME" : "moxalactam",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
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+							"CONCEPT_NAME" : "Neonatal urinary tract infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "12301009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201792,
+							"CONCEPT_NAME" : "Nongonococcal urethritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "84619001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4128384,
+							"CONCEPT_NAME" : "Non-infective cystitis",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "D",
+							"INVALID_REASON_CAPTION" : "Invalid",
+							"CONCEPT_CODE" : "236623005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 78357,
+							"CONCEPT_NAME" : "Reactive arthritis triad",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "67224007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 195313,
+							"CONCEPT_NAME" : "Urethral abscess",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "67277002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 197919,
+							"CONCEPT_NAME" : "Urethral stricture due to infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "80375002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 439349,
+							"CONCEPT_NAME" : "Cystitis associated with another disorder",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "197845000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4227291,
+							"CONCEPT_NAME" : "Hemorrhagic cystitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "87696004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4060312,
+							"CONCEPT_NAME" : "Infections of urethra in pregnancy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "199206009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4127564,
+							"CONCEPT_NAME" : "Acute cystitis - culture-negative",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "236624004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4126141,
+							"CONCEPT_NAME" : "Chronic cystitis - culture negative",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "236626002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4127565,
+							"CONCEPT_NAME" : "Recurrent cystitis - culture-negative",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "236625003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4207186,
+							"CONCEPT_NAME" : "Viral infection by site",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "U",
+							"INVALID_REASON_CAPTION" : "Invalid",
+							"CONCEPT_CODE" : "312130009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4207190,
+							"CONCEPT_NAME" : "Fungal infection by site",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "U",
+							"INVALID_REASON_CAPTION" : "Invalid",
+							"CONCEPT_CODE" : "312146001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 434557,
+							"CONCEPT_NAME" : "Tuberculosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "56717001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 432251,
+							"CONCEPT_NAME" : "Disease caused by parasite",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17322007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36102152,
+							"CONCEPT_NAME" : "Protozoal infectious disorders",
+							"STANDARD_CONCEPT" : "C",
+							"STANDARD_CONCEPT_CAPTION" : "Classification",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "10037072",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "MedDRA",
+							"CONCEPT_CLASS_ID" : "HLGT"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433417,
+							"CONCEPT_NAME" : "Gonorrhea",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "15628003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36102938,
+							"CONCEPT_NAME" : "Chlamydial infections",
+							"STANDARD_CONCEPT" : "C",
+							"STANDARD_CONCEPT_CAPTION" : "Classification",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "10008561",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "MedDRA",
+							"CONCEPT_CLASS_ID" : "HLT"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Urinary Tract Infection",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 11,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 10,
+			"GapDays" : 30,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1062.json b/tests/cohorts/1062.json
new file mode 100644
index 00000000..4f8f22d5
--- /dev/null
+++ b/tests/cohorts/1062.json
@@ -0,0 +1,879 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 11,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 11,
+			"name" : "[HowOften] Trimethoprim systemetic",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40081374,
+							"CONCEPT_NAME" : "sulfamethoxazole / trimethoprim Injectable Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "377117",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36882762,
+							"CONCEPT_NAME" : "Sulfamethoxazole / Trimethoprim Injectable Suspension",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP994039",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40220482,
+							"CONCEPT_NAME" : "sulfamethoxazole / trimethoprim Injection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1809082",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35153537,
+							"CONCEPT_NAME" : "Sulfamethoxazole / Trimethoprim Oral Granules",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4810565",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40147374,
+							"CONCEPT_NAME" : "sulfamethoxazole / trimethoprim Oral Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "757319",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40081379,
+							"CONCEPT_NAME" : "sulfamethoxazole / trimethoprim Oral Suspension",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "374233",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40081388,
+							"CONCEPT_NAME" : "sulfamethoxazole / trimethoprim Oral Tablet",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "374234",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1705674,
+							"CONCEPT_NAME" : "trimethoprim",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "10829",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40073114,
+							"CONCEPT_NAME" : "polymyxin B / trimethoprim Ophthalmic Ointment",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "376523",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40073115,
+							"CONCEPT_NAME" : "polymyxin B / trimethoprim Ophthalmic Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "379128",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40180925,
+							"CONCEPT_NAME" : "sulfamethazine / trimethoprim Topical Solution",
+							"STANDARD_CONCEPT" : "S",
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+					}
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+			}
+		},
+		{
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+							"STANDARD_CONCEPT" : "C",
+							"STANDARD_CONCEPT_CAPTION" : "Classification",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "10037072",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "MedDRA",
+							"CONCEPT_CLASS_ID" : "HLGT"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433417,
+							"CONCEPT_NAME" : "Gonorrhea",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "15628003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36102938,
+							"CONCEPT_NAME" : "Chlamydial infections",
+							"STANDARD_CONCEPT" : "C",
+							"STANDARD_CONCEPT_CAPTION" : "Classification",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "10008561",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "MedDRA",
+							"CONCEPT_CLASS_ID" : "HLT"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Urinary Tract Infection",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 12,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 11,
+			"GapDays" : 30,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1063.json b/tests/cohorts/1063.json
new file mode 100644
index 00000000..7b503e1a
--- /dev/null
+++ b/tests/cohorts/1063.json
@@ -0,0 +1,1458 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 9,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 9,
+			"name" : "[HowOften] fluoroquinolone systemic",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1721543,
+							"CONCEPT_NAME" : "norfloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7517",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35198003,
+							"CONCEPT_NAME" : "pazufloxacin mesilate",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4819368",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1747032,
+							"CONCEPT_NAME" : "grepafloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "83719",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19041153,
+							"CONCEPT_NAME" : "temafloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "37771",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1592954,
+							"CONCEPT_NAME" : "delafloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1927663",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1716721,
+							"CONCEPT_NAME" : "gemifloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "138099",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 923081,
+							"CONCEPT_NAME" : "ofloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7623",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19050750,
+							"CONCEPT_NAME" : "fleroxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "42322",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1712549,
+							"CONCEPT_NAME" : "trovafloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "115552",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35197938,
+							"CONCEPT_NAME" : "garenoxacin mesilate hydrate",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4819303",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36878831,
+							"CONCEPT_NAME" : "nadifloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP1007304",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40161662,
+							"CONCEPT_NAME" : "besifloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "819911",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43009030,
+							"CONCEPT_NAME" : "tosufloxacin tosylate hydrate",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4700456",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1743222,
+							"CONCEPT_NAME" : "enoxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3925",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35834909,
+							"CONCEPT_NAME" : "lascufloxacin hydrochloride",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5040502",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35198165,
+							"CONCEPT_NAME" : "sitafloxacin hydrate",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4819530",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1789276,
+							"CONCEPT_NAME" : "gatifloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "228476",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1797513,
+							"CONCEPT_NAME" : "ciprofloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2551",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1742253,
+							"CONCEPT_NAME" : "levofloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "82122",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1716903,
+							"CONCEPT_NAME" : "moxifloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "139462",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35197897,
+							"CONCEPT_NAME" : "prulifloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4819262",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19027679,
+							"CONCEPT_NAME" : "pefloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "7960",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1733765,
+							"CONCEPT_NAME" : "sparfloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "18469",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1707800,
+							"CONCEPT_NAME" : "lomefloxacin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "28872",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42613186,
+							"CONCEPT_NAME" : "besifloxacin Ophthalmic Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5160363",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2909524,
+							"CONCEPT_NAME" : "besifloxacin Ophthalmic Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5126291",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40161667,
+							"CONCEPT_NAME" : "besifloxacin Ophthalmic Suspension",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "850304",
+							"DOMAIN_ID" : "Drug",
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+					},
+					{
+						"concept" : {
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+					{
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+					{
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+					{
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+					{
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+							"CONCEPT_NAME" : "lomefloxacin Topical Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4953477",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43678347,
+							"CONCEPT_NAME" : "nadifloxacin Topical Cream",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP692663",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35154779,
+							"CONCEPT_NAME" : "nadifloxacin Topical Lotion",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4811800",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35141912,
+							"CONCEPT_NAME" : "nadifloxacin Topical Ointment",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4799033",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35861725,
+							"CONCEPT_NAME" : "norfloxacin Topical Ointment",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5018416",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35851383,
+							"CONCEPT_NAME" : "ofloxacin Topical Gel",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5007927",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35851392,
+							"CONCEPT_NAME" : "ofloxacin Topical Ointment",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5007936",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35856292,
+							"CONCEPT_NAME" : "pefloxacin Topical Ointment",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP5012825",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 10,
+			"name" : "Acute Typical Pneumonia",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46269693,
+							"CONCEPT_NAME" : "Chronic pneumonia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "102361000119104",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4193174,
+							"CONCEPT_NAME" : "Fungal respiratory infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "312149008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36712839,
+							"CONCEPT_NAME" : "Idiopathic pneumonia syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "12381000132107",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4273378,
+							"CONCEPT_NAME" : "Interstitial pneumonia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "64667001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 256622,
+							"CONCEPT_NAME" : "Pulmonary disease due to Mycobacteria",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "84353005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4318404,
+							"CONCEPT_NAME" : "Lung consolidation",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "95436008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 11,
+			"name" : "Non Acute Typical Pneumonia",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36712839,
+							"CONCEPT_NAME" : "Idiopathic pneumonia syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "12381000132107",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4193174,
+							"CONCEPT_NAME" : "Fungal respiratory infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "312149008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 256622,
+							"CONCEPT_NAME" : "Pulmonary disease due to Mycobacteria",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "84353005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46269693,
+							"CONCEPT_NAME" : "Chronic pneumonia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "102361000119104",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4273378,
+							"CONCEPT_NAME" : "Interstitial pneumonia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "64667001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Acute Typical Pneumonia",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 10,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 11,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 9,
+			"GapDays" : 30,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1064.json b/tests/cohorts/1064.json
new file mode 100644
index 00000000..8ca6bd35
--- /dev/null
+++ b/tests/cohorts/1064.json
@@ -0,0 +1,1152 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 10,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 10,
+			"name" : "[HowOften] cephalosporin systematic",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40798709,
+							"CONCEPT_NAME" : "Cefacetrile",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP2721059",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1796435,
+							"CONCEPT_NAME" : "cefixime",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "25033",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40798704,
+							"CONCEPT_NAME" : "Cefmenoxime",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP2721061",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19072255,
+							"CONCEPT_NAME" : "cefmetazole",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2182",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43008993,
+							"CONCEPT_NAME" : "cefminox sodium",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4700419",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19028286,
+							"CONCEPT_NAME" : "cefodizime",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "20485",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19072857,
+							"CONCEPT_NAME" : "cefonicid",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2183",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1773402,
+							"CONCEPT_NAME" : "cefoperazone",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2184",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19028288,
+							"CONCEPT_NAME" : "ceforanide",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "20486",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					},
+					{
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+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					},
+					{
+						"concept" : {
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+					{
+						"concept" : {
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+						"includeMapped" : false
+					},
+					{
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+					{
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+					},
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+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
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+					},
+					{
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+					},
+					{
+						"concept" : {
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+					},
+					{
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+					{
+						"concept" : {
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+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"DOMAIN_ID" : "Drug",
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+							"CONCEPT_CLASS_ID" : "Ingredient"
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+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_CLASS_ID" : "Ingredient"
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+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43009082,
+							"CONCEPT_NAME" : "cefbuperazone sodium",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4700508",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43009044,
+							"CONCEPT_NAME" : "cefcapene pivoxil hydrochloride hydrate",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4700470",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Ingredient"
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+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "cefdinir",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "25037",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
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+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1747005,
+							"CONCEPT_NAME" : "cefditoren",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "83682",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19028241,
+							"CONCEPT_NAME" : "cefetamet",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "20482",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35129269,
+							"CONCEPT_NAME" : "Cefmenoxime Ophthalmic Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4786537",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35160132,
+							"CONCEPT_NAME" : "Cefmenoxime Otic Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4817111",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2035392,
+							"CONCEPT_NAME" : "Cefmenoxime Topical Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4934549",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 21132307,
+							"CONCEPT_NAME" : "Ceftazidime Ophthalmic Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP388743",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40020954,
+							"CONCEPT_NAME" : "cefuroxime Ophthalmic Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "377415",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 11,
+			"name" : "Acute Typical Pneumonia",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46269693,
+							"CONCEPT_NAME" : "Chronic pneumonia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "102361000119104",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4193174,
+							"CONCEPT_NAME" : "Fungal respiratory infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "312149008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36712839,
+							"CONCEPT_NAME" : "Idiopathic pneumonia syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "12381000132107",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4273378,
+							"CONCEPT_NAME" : "Interstitial pneumonia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "64667001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 256622,
+							"CONCEPT_NAME" : "Pulmonary disease due to Mycobacteria",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "84353005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4318404,
+							"CONCEPT_NAME" : "Lung consolidation",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "95436008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 12,
+			"name" : "Non Acute Typical Pneumonia",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36712839,
+							"CONCEPT_NAME" : "Idiopathic pneumonia syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "12381000132107",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4193174,
+							"CONCEPT_NAME" : "Fungal respiratory infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "312149008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 256622,
+							"CONCEPT_NAME" : "Pulmonary disease due to Mycobacteria",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "84353005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46269693,
+							"CONCEPT_NAME" : "Chronic pneumonia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "102361000119104",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4273378,
+							"CONCEPT_NAME" : "Interstitial pneumonia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "64667001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Acute Typical Pneumonia",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 11,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 12,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 10,
+			"GapDays" : 30,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1065.json b/tests/cohorts/1065.json
new file mode 100644
index 00000000..36195c49
--- /dev/null
+++ b/tests/cohorts/1065.json
@@ -0,0 +1,506 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 11,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 11,
+			"name" : "[HowOften] Trimethoprim systemetic",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40081374,
+							"CONCEPT_NAME" : "sulfamethoxazole / trimethoprim Injectable Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "377117",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36882762,
+							"CONCEPT_NAME" : "Sulfamethoxazole / Trimethoprim Injectable Suspension",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP994039",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40220482,
+							"CONCEPT_NAME" : "sulfamethoxazole / trimethoprim Injection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1809082",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35153537,
+							"CONCEPT_NAME" : "Sulfamethoxazole / Trimethoprim Oral Granules",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "OMOP4810565",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm Extension",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40147374,
+							"CONCEPT_NAME" : "sulfamethoxazole / trimethoprim Oral Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "757319",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40081379,
+							"CONCEPT_NAME" : "sulfamethoxazole / trimethoprim Oral Suspension",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "374233",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40081388,
+							"CONCEPT_NAME" : "sulfamethoxazole / trimethoprim Oral Tablet",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "374234",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1705674,
+							"CONCEPT_NAME" : "trimethoprim",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "10829",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40073114,
+							"CONCEPT_NAME" : "polymyxin B / trimethoprim Ophthalmic Ointment",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "376523",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40073115,
+							"CONCEPT_NAME" : "polymyxin B / trimethoprim Ophthalmic Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "379128",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40180925,
+							"CONCEPT_NAME" : "sulfamethazine / trimethoprim Topical Solution",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "991879",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Clinical Drug Form"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 12,
+			"name" : "Acute Typical Pneumonia",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46269693,
+							"CONCEPT_NAME" : "Chronic pneumonia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "102361000119104",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4193174,
+							"CONCEPT_NAME" : "Fungal respiratory infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "312149008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36712839,
+							"CONCEPT_NAME" : "Idiopathic pneumonia syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "12381000132107",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4273378,
+							"CONCEPT_NAME" : "Interstitial pneumonia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "64667001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 256622,
+							"CONCEPT_NAME" : "Pulmonary disease due to Mycobacteria",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "84353005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4318404,
+							"CONCEPT_NAME" : "Lung consolidation",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "95436008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 13,
+			"name" : "Non Acute Typical Pneumonia",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36712839,
+							"CONCEPT_NAME" : "Idiopathic pneumonia syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "12381000132107",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4193174,
+							"CONCEPT_NAME" : "Fungal respiratory infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "312149008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 256622,
+							"CONCEPT_NAME" : "Pulmonary disease due to Mycobacteria",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "84353005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46269693,
+							"CONCEPT_NAME" : "Chronic pneumonia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "102361000119104",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4273378,
+							"CONCEPT_NAME" : "Interstitial pneumonia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "64667001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Acute Typical Pneumonia",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 12,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 13,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 11,
+			"GapDays" : 30,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1066.json b/tests/cohorts/1066.json
new file mode 100644
index 00000000..ab44f5d4
--- /dev/null
+++ b/tests/cohorts/1066.json
@@ -0,0 +1,445 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 6,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 6,
+			"name" : "[HowOften] TNF inhibitors",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19041065,
+							"CONCEPT_NAME" : "golimumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "819300",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 912263,
+							"CONCEPT_NAME" : "certolizumab pegol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "709271",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 937368,
+							"CONCEPT_NAME" : "infliximab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191831",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1151789,
+							"CONCEPT_NAME" : "etanercept",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "214555",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1119119,
+							"CONCEPT_NAME" : "adalimumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "327361",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 7,
+			"name" : "[PL] Rheumatoid arthritis",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4297650,
+							"CONCEPT_NAME" : "Cutaneous atrophy due to rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "402431009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4334806,
+							"CONCEPT_NAME" : "Deformity of foot due to rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "433228003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46273442,
+							"CONCEPT_NAME" : "Deformity of hand due to rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "96531000119109",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2107572,
+							"CONCEPT_NAME" : "Disease prognosis for rheumatoid arthritis assessed, good prognosis documented (RA)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3476F",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2107561,
+							"CONCEPT_NAME" : "Disease prognosis for rheumatoid arthritis assessed, poor prognosis documented (RA)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3475F",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4107913,
+							"CONCEPT_NAME" : "Myopathy due to rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "193250002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2108721,
+							"CONCEPT_NAME" : "Patient receiving first-time biologic disease modifying anti-rheumatic drug therapy for rheumatoid arthritis (RA)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "4195F",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4102493,
+							"CONCEPT_NAME" : "Polyneuropathy in rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "193180002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 80809,
+							"CONCEPT_NAME" : "Rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "69896004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2107560,
+							"CONCEPT_NAME" : "Rheumatoid arthritis (RA) disease activity, high (RA)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3472F",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2107558,
+							"CONCEPT_NAME" : "Rheumatoid arthritis (RA) disease activity, low (RA)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3470F",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2107559,
+							"CONCEPT_NAME" : "Rheumatoid arthritis (RA) disease activity, moderate (RA)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3471F",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4083556,
+							"CONCEPT_NAME" : "Seronegative rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "239792003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4035611,
+							"CONCEPT_NAME" : "Seropositive rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "239791005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Rheumatoid arthritis",
+			"expression" : {
+				"Type" : "ANY",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 7,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"Observation" : {
+								"CodesetId" : 7,
+								"ObservationTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 6,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1067.json b/tests/cohorts/1067.json
new file mode 100644
index 00000000..a1af86a6
--- /dev/null
+++ b/tests/cohorts/1067.json
@@ -0,0 +1,249 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 7,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 7,
+			"name" : "[HowOften] JAK inhibitor",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1510627,
+							"CONCEPT_NAME" : "baricitinib",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2047232",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40244464,
+							"CONCEPT_NAME" : "ruxolitinib",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1193326",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42904205,
+							"CONCEPT_NAME" : "tofacitinib",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1357536",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 8,
+			"name" : "Ulcerative colitis",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46273477,
+							"CONCEPT_NAME" : "Complication due to ulcerative colitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1092851000119103",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46273478,
+							"CONCEPT_NAME" : "Rectal hemorrhage due to ulcerative colitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1092881000119105",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 81893,
+							"CONCEPT_NAME" : "Ulcerative colitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "64766004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 75580,
+							"CONCEPT_NAME" : "Chronic ulcerative proctitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "52231000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46269847,
+							"CONCEPT_NAME" : "Rectal hemorrhage due to chronic ulcerative proctitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1085221000119103",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46269843,
+							"CONCEPT_NAME" : "Complication due to chronic ulcerative proctitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1085191000119109",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Ulcerative colitis",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 8,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 7,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1068.json b/tests/cohorts/1068.json
new file mode 100644
index 00000000..88d746a5
--- /dev/null
+++ b/tests/cohorts/1068.json
@@ -0,0 +1,283 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 6,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 6,
+			"name" : "[HowOften] TNF inhibitors",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19041065,
+							"CONCEPT_NAME" : "golimumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "819300",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 912263,
+							"CONCEPT_NAME" : "certolizumab pegol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "709271",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 937368,
+							"CONCEPT_NAME" : "infliximab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191831",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1151789,
+							"CONCEPT_NAME" : "etanercept",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "214555",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1119119,
+							"CONCEPT_NAME" : "adalimumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "327361",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 7,
+			"name" : "[PL] Ulcerative colitis",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46273477,
+							"CONCEPT_NAME" : "Complication due to ulcerative colitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1092851000119103",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46273478,
+							"CONCEPT_NAME" : "Rectal hemorrhage due to ulcerative colitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1092881000119105",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 81893,
+							"CONCEPT_NAME" : "Ulcerative colitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "64766004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 75580,
+							"CONCEPT_NAME" : "Chronic ulcerative proctitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "52231000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46269847,
+							"CONCEPT_NAME" : "Rectal hemorrhage due to chronic ulcerative proctitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1085221000119103",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46269843,
+							"CONCEPT_NAME" : "Complication due to chronic ulcerative proctitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1085191000119109",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Ulcerative colitis",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 7,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 6,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1069.json b/tests/cohorts/1069.json
new file mode 100644
index 00000000..3a5053b5
--- /dev/null
+++ b/tests/cohorts/1069.json
@@ -0,0 +1,232 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 6,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 6,
+			"name" : "[HowOften] TNF inhibitors",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 19041065,
+							"CONCEPT_NAME" : "golimumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "819300",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 912263,
+							"CONCEPT_NAME" : "certolizumab pegol",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "709271",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 937368,
+							"CONCEPT_NAME" : "infliximab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "191831",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1151789,
+							"CONCEPT_NAME" : "etanercept",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "214555",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1119119,
+							"CONCEPT_NAME" : "adalimumab",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "327361",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 7,
+			"name" : "Crohns disease",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46269889,
+							"CONCEPT_NAME" : "Complication due to Crohn's disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1085911000119103",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201606,
+							"CONCEPT_NAME" : "Crohn's disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "34000006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4340812,
+							"CONCEPT_NAME" : "Perianal Crohn's disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "235796008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Crohns disease",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 7,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 6,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1070.json b/tests/cohorts/1070.json
new file mode 100644
index 00000000..46486bd6
--- /dev/null
+++ b/tests/cohorts/1070.json
@@ -0,0 +1,411 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"DrugExposure" : {
+					"CodesetId" : 7,
+					"First" : true,
+					"DrugTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 7,
+			"name" : "[HowOften] JAK inhibitor",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 1510627,
+							"CONCEPT_NAME" : "baricitinib",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2047232",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40244464,
+							"CONCEPT_NAME" : "ruxolitinib",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1193326",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42904205,
+							"CONCEPT_NAME" : "tofacitinib",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1357536",
+							"DOMAIN_ID" : "Drug",
+							"VOCABULARY_ID" : "RxNorm",
+							"CONCEPT_CLASS_ID" : "Ingredient"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 8,
+			"name" : "[PL] Rheumatoid arthritis",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4297650,
+							"CONCEPT_NAME" : "Cutaneous atrophy due to rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "402431009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4334806,
+							"CONCEPT_NAME" : "Deformity of foot due to rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "433228003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 46273442,
+							"CONCEPT_NAME" : "Deformity of hand due to rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "96531000119109",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2107572,
+							"CONCEPT_NAME" : "Disease prognosis for rheumatoid arthritis assessed, good prognosis documented (RA)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3476F",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2107561,
+							"CONCEPT_NAME" : "Disease prognosis for rheumatoid arthritis assessed, poor prognosis documented (RA)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3475F",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4107913,
+							"CONCEPT_NAME" : "Myopathy due to rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "193250002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2108721,
+							"CONCEPT_NAME" : "Patient receiving first-time biologic disease modifying anti-rheumatic drug therapy for rheumatoid arthritis (RA)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "4195F",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4102493,
+							"CONCEPT_NAME" : "Polyneuropathy in rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "193180002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 80809,
+							"CONCEPT_NAME" : "Rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "69896004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2107560,
+							"CONCEPT_NAME" : "Rheumatoid arthritis (RA) disease activity, high (RA)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3472F",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2107558,
+							"CONCEPT_NAME" : "Rheumatoid arthritis (RA) disease activity, low (RA)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3470F",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2107559,
+							"CONCEPT_NAME" : "Rheumatoid arthritis (RA) disease activity, moderate (RA)",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3471F",
+							"DOMAIN_ID" : "Observation",
+							"VOCABULARY_ID" : "CPT4",
+							"CONCEPT_CLASS_ID" : "CPT4"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4083556,
+							"CONCEPT_NAME" : "Seronegative rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "239792003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4035611,
+							"CONCEPT_NAME" : "Seropositive rheumatoid arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "239791005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "nested in Rheumatoid arthritis",
+			"expression" : {
+				"Type" : "ANY",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 8,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"Observation" : {
+								"CodesetId" : 8,
+								"ObservationTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"CustomEra" : {
+			"DrugCodesetId" : 7,
+			"GapDays" : 90,
+			"Offset" : 0
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1071.json b/tests/cohorts/1071.json
new file mode 100644
index 00000000..d2c78265
--- /dev/null
+++ b/tests/cohorts/1071.json
@@ -0,0 +1,162 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ObservationPeriod" : {
+					"UserDefinedPeriod" : {
+						"StartDate" : "2022-01-01",
+						"EndDate" : "2022-01-01"
+					}
+				}
+			},
+			{
+				"ObservationPeriod" : {
+					"UserDefinedPeriod" : {
+						"StartDate" : "2021-01-01",
+						"EndDate" : "2021-01-01"
+					}
+				}
+			},
+			{
+				"ObservationPeriod" : {
+					"UserDefinedPeriod" : {
+						"StartDate" : "2020-01-01",
+						"EndDate" : "2020-01-01"
+					}
+				}
+			},
+			{
+				"ObservationPeriod" : {
+					"UserDefinedPeriod" : {
+						"StartDate" : "2019-01-01",
+						"EndDate" : "2019-01-01"
+					}
+				}
+			},
+			{
+				"ObservationPeriod" : {
+					"UserDefinedPeriod" : {
+						"StartDate" : "2018-01-01",
+						"EndDate" : "2018-01-01"
+					}
+				}
+			},
+			{
+				"ObservationPeriod" : {
+					"UserDefinedPeriod" : {
+						"StartDate" : "2017-01-01",
+						"EndDate" : "2017-01-01"
+					}
+				}
+			},
+			{
+				"ObservationPeriod" : {
+					"UserDefinedPeriod" : {
+						"StartDate" : "2016-01-01",
+						"EndDate" : "2016-01-01"
+					}
+				}
+			},
+			{
+				"ObservationPeriod" : {
+					"UserDefinedPeriod" : {
+						"StartDate" : "2015-01-01",
+						"EndDate" : "2015-01-01"
+					}
+				}
+			},
+			{
+				"ObservationPeriod" : {
+					"UserDefinedPeriod" : {
+						"StartDate" : "2014-01-01",
+						"EndDate" : "2014-01-01"
+					}
+				}
+			},
+			{
+				"ObservationPeriod" : {
+					"UserDefinedPeriod" : {
+						"StartDate" : "2013-01-01",
+						"EndDate" : "2013-01-01"
+					}
+				}
+			},
+			{
+				"ObservationPeriod" : {
+					"UserDefinedPeriod" : {
+						"StartDate" : "2012-01-01",
+						"EndDate" : "2012-01-01"
+					}
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 365,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"AdditionalCriteria" : {
+		"Type" : "ALL",
+		"CriteriaList" : [],
+		"DemographicCriteriaList" : [
+			{
+				"Age" : {
+					"Value" : 0,
+					"Op" : "bt",
+					"Extent" : 100
+				},
+				"Gender" : [
+					{
+						"CONCEPT_ID" : 8532,
+						"CONCEPT_NAME" : "FEMALE",
+						"STANDARD_CONCEPT" : null,
+						"STANDARD_CONCEPT_CAPTION" : "Unknown",
+						"INVALID_REASON" : null,
+						"INVALID_REASON_CAPTION" : "Unknown",
+						"CONCEPT_CODE" : "F",
+						"DOMAIN_ID" : "Gender",
+						"VOCABULARY_ID" : "Gender",
+						"CONCEPT_CLASS_ID" : null
+					},
+					{
+						"CONCEPT_ID" : 8507,
+						"CONCEPT_NAME" : "MALE",
+						"STANDARD_CONCEPT" : null,
+						"STANDARD_CONCEPT_CAPTION" : "Unknown",
+						"INVALID_REASON" : null,
+						"INVALID_REASON_CAPTION" : "Unknown",
+						"CONCEPT_CODE" : "M",
+						"DOMAIN_ID" : "Gender",
+						"VOCABULARY_ID" : "Gender",
+						"CONCEPT_CLASS_ID" : null
+					}
+				]
+			}
+		],
+		"Groups" : []
+	},
+	"ConceptSets" : [],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1072.json b/tests/cohorts/1072.json
new file mode 100644
index 00000000..cd739301
--- /dev/null
+++ b/tests/cohorts/1072.json
@@ -0,0 +1,7682 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 3,
+					"ConditionTypeExclude" : false
+				}
+			},
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 4,
+					"ConditionTypeExclude" : false
+				}
+			},
+			{
+				"Measurement" : {
+					"CodesetId" : 4,
+					"MeasurementTypeExclude" : false,
+					"ValueAsNumber" : {
+						"Value" : 0,
+						"Op" : "gt"
+					},
+					"ValueAsConcept" : [
+						{
+							"CONCEPT_ID" : 36309345,
+							"CONCEPT_NAME" : ">50 cells",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "LA24571-4",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 36310085,
+							"CONCEPT_NAME" : "21-50 cells",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "LA24616-7",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 36309475,
+							"CONCEPT_NAME" : "11-20 cells",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "LA24595-3",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 36310741,
+							"CONCEPT_NAME" : "5-10 cells",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "LA24619-1",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 45878548,
+							"CONCEPT_NAME" : "1+",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "LA11841-6",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 45881916,
+							"CONCEPT_NAME" : "2+",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "LA11842-4",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 45876467,
+							"CONCEPT_NAME" : "3+",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "LA11843-2",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 45881623,
+							"CONCEPT_NAME" : "4+",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "LA11844-0",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 3459354,
+							"CONCEPT_NAME" : "Present + out of ++++",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "260347006",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "Nebraska Lexicon",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 3474574,
+							"CONCEPT_NAME" : "Present ++ out of ++++",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "260348001",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "Nebraska Lexicon",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 3437429,
+							"CONCEPT_NAME" : "Present +++ out of ++++",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "260349009",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "Nebraska Lexicon",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 4126674,
+							"CONCEPT_NAME" : "++++",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "260350009",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 3470980,
+							"CONCEPT_NAME" : "Present ++++ out of ++++",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "260350009",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "Nebraska Lexicon",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 4125547,
+							"CONCEPT_NAME" : "+++",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "260349009",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 4126673,
+							"CONCEPT_NAME" : "++",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "260348001",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 4123508,
+							"CONCEPT_NAME" : "+",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "260347006",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 9192,
+							"CONCEPT_NAME" : "Trace",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "260405006",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 3472281,
+							"CONCEPT_NAME" : "Trace",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "260405006",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "Nebraska Lexicon",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 45881796,
+							"CONCEPT_NAME" : "Trace",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "LA11832-5",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 9191,
+							"CONCEPT_NAME" : "Positive",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "10828004",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : null
+						},
+						{
+							"CONCEPT_ID" : 45884084,
+							"CONCEPT_NAME" : "Positive",
+							"STANDARD_CONCEPT" : null,
+							"STANDARD_CONCEPT_CAPTION" : "Unknown",
+							"INVALID_REASON" : null,
+							"INVALID_REASON_CAPTION" : "Unknown",
+							"CONCEPT_CODE" : "LA6576-8",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : null
+						}
+					]
+				}
+			},
+			{
+				"Observation" : {
+					"CodesetId" : 4,
+					"ObservationTypeExclude" : false
+				}
+			},
+			{
+				"ConditionOccurrence" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ANY",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"ConditionOccurrence" : {
+										"CodesetId" : 5,
+										"ConditionTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Coeff" : -1
+									},
+									"End" : {
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : true,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					"CodesetId" : 10,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 1,
+			"name" : "OMOPUveitis CMV AC PCR positive [measurements, observations, specimen]",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36309671,
+							"CONCEPT_NAME" : "PCR for Cytomegalovirus - Positive",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "LA13966-9",
+							"DOMAIN_ID" : "Meas Value",
+							"VOCABULARY_ID" : "LOINC",
+							"CONCEPT_CLASS_ID" : "Answer"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4143091,
+							"CONCEPT_NAME" : "Aqueous humor",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
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+						"includeDescendants" : true,
+						"includeMapped" : true
+					},
+					{
+						"concept" : {
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+						"includeMapped" : true
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+					{
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+						"includeMapped" : true
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+					{
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+					{
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+					{
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+					{
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+					{
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+						"includeMapped" : true
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+					{
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+						"includeMapped" : true
+					},
+					{
+						"concept" : {
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeMapped" : true
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Lens-induced iridocyclitis",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+					{
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+					},
+					{
+						"concept" : {
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+					{
+						"concept" : {
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+					{
+						"concept" : {
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+					{
+						"concept" : {
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+		},
+		{
+			"id" : 5,
+			"name" : "OMOPUveitis Other anterior segment inflammation [conditions]",
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+					},
+					{
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+					},
+					{
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+							"CONCEPT_NAME" : "Generalized iris atrophy",
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+					{
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+							"CONCEPT_NAME" : "Atrophic iris",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					}
+				]
+			}
+		},
+		{
+			"id" : 6,
+			"name" : "OMOPUveitis Retinitis exclusion [conditions]",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
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+					},
+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+						"includeMapped" : false
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+					{
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+					},
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+					{
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+					},
+					{
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+					},
+					{
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Secondary syphilitic chorioretinitis",
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Post-traumatic endophthalmitis",
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+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Acute postoperative endophthalmitis",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "9941009",
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+							"VOCABULARY_ID" : "SNOMED",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Neuroretinitis of right eye",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "15992631000119101",
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+							"VOCABULARY_ID" : "SNOMED",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Panuveitis caused by Borrelia burgdorferi",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					{
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+						"includeMapped" : false
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+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					{
+						"concept" : {
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+					{
+						"concept" : {
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+						"includeMapped" : false
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+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					{
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+					{
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+					{
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Right chorioretinitis caused by Mycobacterium tuberculosis",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Left chorioretinitis caused by Mycobacterium tuberculosis",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4195992,
+							"CONCEPT_NAME" : "Idiopathic retinitis",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "312932000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 378078,
+							"CONCEPT_NAME" : "Histoplasma capsulatum with retinitis",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "187039009",
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+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 436967,
+							"CONCEPT_NAME" : "Juxtapapillary focal choroiditis AND chorioretinitis",
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "6313001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
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+						"includeMapped" : false
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+					{
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+					{
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+					{
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+					{
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+					},
+					{
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+					},
+					{
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+					},
+					{
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Focal chorioretinitis due to acquired toxoplasmosis",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
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+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
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+						"includeMapped" : false
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+					{
+						"concept" : {
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+						"includeMapped" : false
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+					{
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+					},
+					{
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+					},
+					{
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+			"name" : "OMOPUveitis VZV AC PCR exclusion [measurements, specimen]",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4122252,
+							"CONCEPT_NAME" : "Aqueous humor sample",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "258444001",
+							"DOMAIN_ID" : "Specimen",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Specimen"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44808404,
+							"CONCEPT_NAME" : "Detection of Varicella zoster virus using polymerase chain reaction technique",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "829501000000108",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Procedure"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4046130,
+							"CONCEPT_NAME" : "Varicella virus DNA assay",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "122306004",
+							"DOMAIN_ID" : "Measurement",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Procedure"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 15,
+			"name" : "OMOPUveitis CMV Diagnosis [conditions]",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35205780,
+							"CONCEPT_NAME" : "Other cytomegaloviral diseases",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "B25.8",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "ICD10CM",
+							"CONCEPT_CLASS_ID" : "4-char billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : true
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 35205781,
+							"CONCEPT_NAME" : "Cytomegaloviral disease, unspecified",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "B25.9",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "ICD10CM",
+							"CONCEPT_CLASS_ID" : "4-char billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : true
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440032,
+							"CONCEPT_NAME" : "Cytomegalovirus infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "28944009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : true
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "Evidence of cytomegalovirus infection in the eye",
+			"description" : "a. Positive PCR for cytomegalovirus on aqueous specimen (observations, measurements)",
+			"expression" : {
+				"Type" : "ANY",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"Specimen" : {
+								"CorrelatedCriteria" : {
+									"Type" : "ANY",
+									"CriteriaList" : [
+										{
+											"Criteria" : {
+												"Measurement" : {
+													"CodesetId" : 1,
+													"MeasurementTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Coeff" : -1
+												},
+												"End" : {
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : true,
+											"Occurrence" : {
+												"Type" : 2,
+												"Count" : 1,
+												"IsDistinct" : false
+											}
+										},
+										{
+											"Criteria" : {
+												"Observation" : {
+													"CodesetId" : 1,
+													"ObservationTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Coeff" : -1
+												},
+												"End" : {
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : true,
+											"Occurrence" : {
+												"Type" : 2,
+												"Count" : 1,
+												"IsDistinct" : false
+											}
+										}
+									],
+									"DemographicCriteriaList" : [],
+									"Groups" : []
+								},
+								"CodesetId" : 1,
+								"SpecimenTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 15,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "no retinitis [conditions]",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 6,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 30,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : true,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 1,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "no syphilis [measurements]",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"Measurement" : {
+								"CodesetId" : 7,
+								"MeasurementTypeExclude" : false,
+								"ValueAsConcept" : [
+									{
+										"CONCEPT_ID" : 9191,
+										"CONCEPT_NAME" : "Positive",
+										"STANDARD_CONCEPT" : null,
+										"STANDARD_CONCEPT_CAPTION" : "Unknown",
+										"INVALID_REASON" : null,
+										"INVALID_REASON_CAPTION" : "Unknown",
+										"CONCEPT_CODE" : "10828004",
+										"DOMAIN_ID" : "Meas Value",
+										"VOCABULARY_ID" : "SNOMED",
+										"CONCEPT_CLASS_ID" : null
+									},
+									{
+										"CONCEPT_ID" : 45884084,
+										"CONCEPT_NAME" : "Positive",
+										"STANDARD_CONCEPT" : null,
+										"STANDARD_CONCEPT_CAPTION" : "Unknown",
+										"INVALID_REASON" : null,
+										"INVALID_REASON_CAPTION" : "Unknown",
+										"CONCEPT_CODE" : "LA6576-8",
+										"DOMAIN_ID" : "Meas Value",
+										"VOCABULARY_ID" : "LOINC",
+										"CONCEPT_CLASS_ID" : null
+									}
+								]
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 30,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : true,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 1,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "no sarcoidosis [conditions, observations]",
+			"expression" : {
+				"Type" : "ANY",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 8,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 30,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : true,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 1,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"Observation" : {
+								"CodesetId" : 8,
+								"ObservationTypeExclude" : false,
+								"ValueAsConcept" : [
+									{
+										"CONCEPT_ID" : 4181412,
+										"CONCEPT_NAME" : "Present",
+										"STANDARD_CONCEPT" : null,
+										"STANDARD_CONCEPT_CAPTION" : "Unknown",
+										"INVALID_REASON" : null,
+										"INVALID_REASON_CAPTION" : "Unknown",
+										"CONCEPT_CODE" : "52101004",
+										"DOMAIN_ID" : "Meas Value",
+										"VOCABULARY_ID" : "SNOMED",
+										"CONCEPT_CLASS_ID" : null
+									},
+									{
+										"CONCEPT_ID" : 45879438,
+										"CONCEPT_NAME" : "Present",
+										"STANDARD_CONCEPT" : null,
+										"STANDARD_CONCEPT_CAPTION" : "Unknown",
+										"INVALID_REASON" : null,
+										"INVALID_REASON_CAPTION" : "Unknown",
+										"CONCEPT_CODE" : "LA9633-4",
+										"DOMAIN_ID" : "Meas Value",
+										"VOCABULARY_ID" : "LOINC",
+										"CONCEPT_CLASS_ID" : null
+									},
+									{
+										"CONCEPT_ID" : 45884084,
+										"CONCEPT_NAME" : "Positive",
+										"STANDARD_CONCEPT" : null,
+										"STANDARD_CONCEPT_CAPTION" : "Unknown",
+										"INVALID_REASON" : null,
+										"INVALID_REASON_CAPTION" : "Unknown",
+										"CONCEPT_CODE" : "LA6576-8",
+										"DOMAIN_ID" : "Meas Value",
+										"VOCABULARY_ID" : "LOINC",
+										"CONCEPT_CLASS_ID" : null
+									},
+									{
+										"CONCEPT_ID" : 9191,
+										"CONCEPT_NAME" : "Positive",
+										"STANDARD_CONCEPT" : null,
+										"STANDARD_CONCEPT_CAPTION" : "Unknown",
+										"INVALID_REASON" : null,
+										"INVALID_REASON_CAPTION" : "Unknown",
+										"CONCEPT_CODE" : "10828004",
+										"DOMAIN_ID" : "Meas Value",
+										"VOCABULARY_ID" : "SNOMED",
+										"CONCEPT_CLASS_ID" : null
+									}
+								]
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 30,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : true,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 1,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "no HSV AC PCR [measurements]",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"Measurement" : {
+								"CodesetId" : 12,
+								"MeasurementTypeExclude" : false,
+								"ValueAsConcept" : [
+									{
+										"CONCEPT_ID" : 9191,
+										"CONCEPT_NAME" : "Positive",
+										"STANDARD_CONCEPT" : null,
+										"STANDARD_CONCEPT_CAPTION" : "Unknown",
+										"INVALID_REASON" : null,
+										"INVALID_REASON_CAPTION" : "Unknown",
+										"CONCEPT_CODE" : "10828004",
+										"DOMAIN_ID" : "Meas Value",
+										"VOCABULARY_ID" : "SNOMED",
+										"CONCEPT_CLASS_ID" : null
+									},
+									{
+										"CONCEPT_ID" : 45884084,
+										"CONCEPT_NAME" : "Positive",
+										"STANDARD_CONCEPT" : null,
+										"STANDARD_CONCEPT_CAPTION" : "Unknown",
+										"INVALID_REASON" : null,
+										"INVALID_REASON_CAPTION" : "Unknown",
+										"CONCEPT_CODE" : "LA6576-8",
+										"DOMAIN_ID" : "Meas Value",
+										"VOCABULARY_ID" : "LOINC",
+										"CONCEPT_CLASS_ID" : null
+									}
+								]
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 30,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : true,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 1,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"Specimen" : {
+								"CodesetId" : 12,
+								"SpecimenTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 30,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 1,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "no VZV AC PCR [measurements]",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"Measurement" : {
+								"CodesetId" : 13,
+								"MeasurementTypeExclude" : false,
+								"ValueAsConcept" : [
+									{
+										"CONCEPT_ID" : 45884084,
+										"CONCEPT_NAME" : "Positive",
+										"STANDARD_CONCEPT" : null,
+										"STANDARD_CONCEPT_CAPTION" : "Unknown",
+										"INVALID_REASON" : null,
+										"INVALID_REASON_CAPTION" : "Unknown",
+										"CONCEPT_CODE" : "LA6576-8",
+										"DOMAIN_ID" : "Meas Value",
+										"VOCABULARY_ID" : "LOINC",
+										"CONCEPT_CLASS_ID" : null
+									},
+									{
+										"CONCEPT_ID" : 9191,
+										"CONCEPT_NAME" : "Positive",
+										"STANDARD_CONCEPT" : null,
+										"STANDARD_CONCEPT_CAPTION" : "Unknown",
+										"INVALID_REASON" : null,
+										"INVALID_REASON_CAPTION" : "Unknown",
+										"CONCEPT_CODE" : "10828004",
+										"DOMAIN_ID" : "Meas Value",
+										"VOCABULARY_ID" : "SNOMED",
+										"CONCEPT_CLASS_ID" : null
+									}
+								]
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 30,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : true,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 1,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"Specimen" : {
+								"CodesetId" : 13,
+								"SpecimenTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 30,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 1,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1073.json b/tests/cohorts/1073.json
new file mode 100644
index 00000000..e925a991
--- /dev/null
+++ b/tests/cohorts/1073.json
@@ -0,0 +1,8247 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CorrelatedCriteria" : {
+						"Type" : "ANY",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"VisitOccurrence" : {
+										"CodesetId" : 8,
+										"VisitTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 0,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"EndWindow" : {
+									"Start" : {
+										"Days" : 0,
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "431258001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4029319,
+							"CONCEPT_NAME" : "Disseminated herpes simplex",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "13710008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4205455,
+							"CONCEPT_NAME" : "Disseminated herpes zoster",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "55560002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45757252,
+							"CONCEPT_NAME" : "Herpes simplex hepatitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1087101000119109",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4051338,
+							"CONCEPT_NAME" : "Herpes simplex pneumonia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "233624006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443943,
+							"CONCEPT_NAME" : "Herpes zoster",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "4740000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 138682,
+							"CONCEPT_NAME" : "Herpes zoster auricularis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "21954000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4045976,
+							"CONCEPT_NAME" : "Herpes zoster encephalitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "230176008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45770836,
+							"CONCEPT_NAME" : "Herpes zoster myelitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "98541000119101",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 437489,
+							"CONCEPT_NAME" : "Herpes zoster with complication",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "49183009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440323,
+							"CONCEPT_NAME" : "Herpes zoster with meningitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "10491005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 436336,
+							"CONCEPT_NAME" : "Herpes zoster with nervous system complication",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "111861003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440329,
+							"CONCEPT_NAME" : "Herpes zoster without complication",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "111859007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433134,
+							"CONCEPT_NAME" : "Histoplasmosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "12962009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 436040,
+							"CONCEPT_NAME" : "Infection by Strongyloides",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1214006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 438077,
+							"CONCEPT_NAME" : "Invasive candidiasis",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "70572005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4097550,
+							"CONCEPT_NAME" : "Legionella infection",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "26726000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 438059,
+							"CONCEPT_NAME" : "Listeriosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "4241002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440631,
+							"CONCEPT_NAME" : "Mycobacteriosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "88415009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4174281,
+							"CONCEPT_NAME" : "Non-tuberculous mycobacterial pneumonia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "277869007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 373412,
+							"CONCEPT_NAME" : "Otitis externa due to Herpes zoster",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "36292003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 438350,
+							"CONCEPT_NAME" : "Pneumocystosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "88860002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 256909,
+							"CONCEPT_NAME" : "Primary pulmonary coccidioidomycosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "88036000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433957,
+							"CONCEPT_NAME" : "Progressive multifocal leukoencephalopathy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "22255007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443741,
+							"CONCEPT_NAME" : "Pulmonary coccidioidomycosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "417018008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 434859,
+							"CONCEPT_NAME" : "Sporotrichosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "42094007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 434557,
+							"CONCEPT_NAME" : "Tuberculosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "56717001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4211951,
+							"CONCEPT_NAME" : "Varicella-zoster virus eyelid dermatitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "416718008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 14,
+			"name" : "Other infections of interest",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 192549,
+							"CONCEPT_NAME" : "Abdominal actinomycosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "43894001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43530817,
+							"CONCEPT_NAME" : "Abrasion and/or friction burn of upper limb, infected",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "609338009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 444249,
+							"CONCEPT_NAME" : "Abrasion and/or friction burn with infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "82117004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 436020,
+							"CONCEPT_NAME" : "Actinomycotic infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "11817007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 437899,
+							"CONCEPT_NAME" : "Acute and subacute bacterial endocarditis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "266237004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435563,
+							"CONCEPT_NAME" : "Acute and subacute infective endocarditis associated with another disorder",
+							"STANDARD_CONCEPT" : "S",
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+						"includeMapped" : false
+					},
+					{
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+					{
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+					{
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+					{
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+					{
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+					},
+					{
+						"concept" : {
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+					{
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+					{
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+					{
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+					{
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+					{
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+					},
+					{
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+					},
+					{
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					{
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+					{
+						"concept" : {
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+					},
+					{
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4050438,
+							"CONCEPT_NAME" : "Infection following infusion, injection, transfusion AND/OR vaccination",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "23301003",
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+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 436180,
+							"CONCEPT_NAME" : "Infection of amniotic cavity",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "10573002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4176170,
+							"CONCEPT_NAME" : "Infection of amputation stump",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "427769002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 72410,
+							"CONCEPT_NAME" : "Infection of bone",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "111253001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40483549,
+							"CONCEPT_NAME" : "Infection of bone of ankle and/or foot",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40481969,
+							"CONCEPT_NAME" : "Infection of bone of hand",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "445012003",
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+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40481970,
+							"CONCEPT_NAME" : "Infection of bone of pelvic region and/or femur",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40480731,
+							"CONCEPT_NAME" : "Infection of bone of shoulder girdle",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40485376,
+							"CONCEPT_NAME" : "Infection of gastrostomy site",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "442858008",
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+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4067312,
+							"CONCEPT_NAME" : "Infection of intervertebral disc - pyogenic",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "SNOMED",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 201093,
+							"CONCEPT_NAME" : "Infection of skin and/or subcutaneous tissue",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Infection resistant to penicillin",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4060295,
+							"CONCEPT_NAME" : "Infections of kidney in pregnancy",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "199110003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Infectious diarrheal disease",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Infectious disorder of joint",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Infectious disorder of kidney",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Infectious eczematoid dermatitis",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Infectious secondary iridocyclitis",
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "89114005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4262590,
+							"CONCEPT_NAME" : "Infective arthritis",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "396234004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Infective arthritis of ankle and/or foot",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Infective arthritis of elbow",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
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+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Infective arthritis of joint of hand",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "SNOMED",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Infective arthritis of right knee",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1073511000119104",
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+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Infective arthritis of shoulder region",
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "428437005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Infective arthritis of wrist",
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
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+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4119460,
+							"CONCEPT_NAME" : "Infective endocarditis",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "233850007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 76508,
+							"CONCEPT_NAME" : "Infective myositis",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "29689003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4001126,
+							"CONCEPT_NAME" : "Infective myositis of thigh",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "203016003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4001124,
+							"CONCEPT_NAME" : "Infective myositis of upper arm",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "203012001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 381859,
+							"CONCEPT_NAME" : "Infective otitis externa",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "86981007",
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					{
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+						"includeMapped" : false
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+					{
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					{
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "186177005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4153291,
+							"CONCEPT_NAME" : "Tuberculosis of skin and subcutaneous tissue",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "271423008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 192819,
+							"CONCEPT_NAME" : "Typhoid fever",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "4834000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4181583,
+							"CONCEPT_NAME" : "Upper respiratory infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "54150009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 197919,
+							"CONCEPT_NAME" : "Urethral stricture due to infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "80375002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4146482,
+							"CONCEPT_NAME" : "Urinary tract infection in pregnancy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "307534009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 81902,
+							"CONCEPT_NAME" : "Urinary tract infectious disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "68566005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 78073,
+							"CONCEPT_NAME" : "Urogenital infection by Trichomonas vaginalis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "35089004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440158,
+							"CONCEPT_NAME" : "Venereal disease in mother complicating pregnancy, childbirth AND/OR puerperium",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "27075004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440029,
+							"CONCEPT_NAME" : "Viral disease",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "34014006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433960,
+							"CONCEPT_NAME" : "Vivax malaria",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "27052006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 132834,
+							"CONCEPT_NAME" : "White piedra",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "35586003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4154776,
+							"CONCEPT_NAME" : "Whooping cough-like syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "271567008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4344398,
+							"CONCEPT_NAME" : "Wrist pyogenic arthritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "239778009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 30
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 90
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1074.json b/tests/cohorts/1074.json
new file mode 100644
index 00000000..323974cd
--- /dev/null
+++ b/tests/cohorts/1074.json
@@ -0,0 +1,1028 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 9,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"AdditionalCriteria" : {
+		"Type" : "ANY",
+		"CriteriaList" : [
+			{
+				"Criteria" : {
+					"VisitOccurrence" : {
+						"CodesetId" : 8,
+						"VisitTypeExclude" : false
+					}
+				},
+				"StartWindow" : {
+					"Start" : {
+						"Coeff" : -1
+					},
+					"End" : {
+						"Days" : 0,
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : false
+				},
+				"EndWindow" : {
+					"Start" : {
+						"Days" : 0,
+						"Coeff" : -1
+					},
+					"End" : {
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : true
+				},
+				"RestrictVisit" : false,
+				"IgnoreObservationPeriod" : false,
+				"Occurrence" : {
+					"Type" : 2,
+					"Count" : 1,
+					"IsDistinct" : false
+				}
+			},
+			{
+				"Criteria" : {
+					"Death" : {
+						"DeathTypeExclude" : false
+					}
+				},
+				"StartWindow" : {
+					"Start" : {
+						"Days" : 0,
+						"Coeff" : -1
+					},
+					"End" : {
+						"Days" : 30,
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : false
+				},
+				"RestrictVisit" : false,
+				"IgnoreObservationPeriod" : false,
+				"Occurrence" : {
+					"Type" : 2,
+					"Count" : 1,
+					"IsDistinct" : false
+				}
+			}
+		],
+		"DemographicCriteriaList" : [],
+		"Groups" : []
+	},
+	"ConceptSets" : [
+		{
+			"id" : 8,
+			"name" : "Inpatient or ER visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9203,
+							"CONCEPT_NAME" : "Emergency Room Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ER",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 9,
+			"name" : "Serious Infections ",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4326255,
+							"CONCEPT_NAME" : "Abdominal abscess",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "75100008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 193522,
+							"CONCEPT_NAME" : "Acute prostatitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "79411002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4324289,
+							"CONCEPT_NAME" : "Allergic encephalitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "70884002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4176250,
+							"CONCEPT_NAME" : "Allergic encephalomyelitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "50776006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4094215,
+							"CONCEPT_NAME" : "Allergic gastroenteritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "26006005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 192674,
+							"CONCEPT_NAME" : "Allergic gastroenteritis and colitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "266451002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4326601,
+							"CONCEPT_NAME" : "Anorectal abscess",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "75236001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4050869,
+							"CONCEPT_NAME" : "Atypical pneumonia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "233606009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 132736,
+							"CONCEPT_NAME" : "Bacteremia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "5758002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 436339,
+							"CONCEPT_NAME" : "Bacterial infection due to Klebsiella pneumoniae",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "186435004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435613,
+							"CONCEPT_NAME" : "Cellulitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "128045006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 193814,
+							"CONCEPT_NAME" : "Chronic parametritis and pelvic cellulitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "198159006",
+							"DOMAIN_ID" : "Condition",
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+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 132797,
+							"CONCEPT_NAME" : "Sepsis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "91302008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 196236,
+							"CONCEPT_NAME" : "Septic shock",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "76571007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 195461,
+							"CONCEPT_NAME" : "Staphylococcal enterocolitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "32527003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4091167,
+							"CONCEPT_NAME" : "Tuberculosis of lung, bacteriologically and histologically negative",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "186203002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4206579,
+							"CONCEPT_NAME" : "Varicella-zoster virus infection",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "309465005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 30
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 90
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1075.json b/tests/cohorts/1075.json
new file mode 100644
index 00000000..363410bf
--- /dev/null
+++ b/tests/cohorts/1075.json
@@ -0,0 +1,121 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Narcolepsy",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 437854,
+							"CONCEPT_NAME" : "Cataplexy and narcolepsy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "193042000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 436100,
+							"CONCEPT_NAME" : "Narcolepsy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "60380001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "has no events in prior 'clean window' - 365 days",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 0,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1076.json b/tests/cohorts/1076.json
new file mode 100644
index 00000000..6e718ce9
--- /dev/null
+++ b/tests/cohorts/1076.json
@@ -0,0 +1,121 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Anaphylaxis or Anaphylactic shock due to serum",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 441202,
+							"CONCEPT_NAME" : "Anaphylaxis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "39579001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 442038,
+							"CONCEPT_NAME" : "Anaphylactic shock due to serum",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "213320003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "has no events in prior 'clean window' - 30 days",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 0,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1077.json b/tests/cohorts/1077.json
new file mode 100644
index 00000000..1e50415d
--- /dev/null
+++ b/tests/cohorts/1077.json
@@ -0,0 +1,248 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Anaphylaxis broad",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4032658,
+							"CONCEPT_NAME" : "Localized anaphylaxis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "14654002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4084639,
+							"CONCEPT_NAME" : "Idiopathic anaphylaxis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "241954008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4221182,
+							"CONCEPT_NAME" : "Anaphylaxis due to substance",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "417516000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4193788,
+							"CONCEPT_NAME" : "Anaphylactic transfusion reaction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "79337003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 441202,
+							"CONCEPT_NAME" : "Anaphylaxis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "39579001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42536383,
+							"CONCEPT_NAME" : "Anaphylactic shock",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "735173007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 1,
+			"name" : "Inpatient or Emergency Room visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9203,
+							"CONCEPT_NAME" : "Emergency Room Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ER",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "has no events in prior 'clean window' - 30 days",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 0,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 30,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1078.json b/tests/cohorts/1078.json
new file mode 100644
index 00000000..60189b55
--- /dev/null
+++ b/tests/cohorts/1078.json
@@ -0,0 +1,138 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Bell's palsy",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4091559,
+							"CONCEPT_NAME" : "Facial palsy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "280816001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4048018,
+							"CONCEPT_NAME" : "Congenital facial nerve palsy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "230542008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36716396,
+							"CONCEPT_NAME" : "Congenital hereditary facial paralysis with variable hearing loss syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "722389002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "has no events in prior 'clean window' 183 days",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 0,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 183,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1079.json b/tests/cohorts/1079.json
new file mode 100644
index 00000000..a39f6897
--- /dev/null
+++ b/tests/cohorts/1079.json
@@ -0,0 +1,353 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 2,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"AdditionalCriteria" : {
+		"Type" : "ALL",
+		"CriteriaList" : [
+			{
+				"Criteria" : {
+					"VisitOccurrence" : {
+						"CodesetId" : 1,
+						"VisitTypeExclude" : false
+					}
+				},
+				"StartWindow" : {
+					"Start" : {
+						"Coeff" : -1
+					},
+					"End" : {
+						"Days" : 0,
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : false
+				},
+				"EndWindow" : {
+					"Start" : {
+						"Days" : 0,
+						"Coeff" : -1
+					},
+					"End" : {
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : true
+				},
+				"RestrictVisit" : false,
+				"IgnoreObservationPeriod" : false,
+				"Occurrence" : {
+					"Type" : 2,
+					"Count" : 1,
+					"IsDistinct" : false
+				}
+			}
+		],
+		"DemographicCriteriaList" : [],
+		"Groups" : []
+	},
+	"ConceptSets" : [
+		{
+			"id" : 1,
+			"name" : "Inpatient or Inpatient/ER visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 2,
+			"name" : "Encephalomyelitis",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 372615,
+							"CONCEPT_NAME" : "Post-infectious encephalitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "192727001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 378143,
+							"CONCEPT_NAME" : "Encephalitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "45170000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4147498,
+							"CONCEPT_NAME" : "Encephalitis, myelitis and encephalomyelitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "267576008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 373189,
+							"CONCEPT_NAME" : "Encephalomyelitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "62950007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4190307,
+							"CONCEPT_NAME" : "Inflammatory disease of the central nervous system",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "39367000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 379792,
+							"CONCEPT_NAME" : "Post-immunization encephalitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "192704009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4330496,
+							"CONCEPT_NAME" : "Inflammation of spinal cord due to toxin",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "431520004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 138965,
+							"CONCEPT_NAME" : "Myelitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "41370002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "has no events in prior 'clean window' 183 days",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CorrelatedCriteria" : {
+									"Type" : "ALL",
+									"CriteriaList" : [
+										{
+											"Criteria" : {
+												"VisitOccurrence" : {
+													"CodesetId" : 1,
+													"VisitTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"EndWindow" : {
+												"Start" : {
+													"Days" : 0,
+													"Coeff" : -1
+												},
+												"End" : {
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : true
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : false,
+											"Occurrence" : {
+												"Type" : 2,
+												"Count" : 1,
+												"IsDistinct" : false
+											}
+										}
+									],
+									"DemographicCriteriaList" : [],
+									"Groups" : []
+								},
+								"CodesetId" : 2,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 183,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1080.json b/tests/cohorts/1080.json
new file mode 100644
index 00000000..f58eaafe
--- /dev/null
+++ b/tests/cohorts/1080.json
@@ -0,0 +1,268 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"AdditionalCriteria" : {
+		"Type" : "ALL",
+		"CriteriaList" : [
+			{
+				"Criteria" : {
+					"VisitOccurrence" : {
+						"CodesetId" : 1,
+						"VisitTypeExclude" : false
+					}
+				},
+				"StartWindow" : {
+					"Start" : {
+						"Coeff" : -1
+					},
+					"End" : {
+						"Days" : 0,
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : false
+				},
+				"EndWindow" : {
+					"Start" : {
+						"Days" : 0,
+						"Coeff" : -1
+					},
+					"End" : {
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : true
+				},
+				"RestrictVisit" : false,
+				"IgnoreObservationPeriod" : false,
+				"Occurrence" : {
+					"Type" : 2,
+					"Count" : 1,
+					"IsDistinct" : false
+				}
+			}
+		],
+		"DemographicCriteriaList" : [],
+		"Groups" : []
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Guillian-Barre syndrome",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 374925,
+							"CONCEPT_NAME" : "Acute infective polyneuritis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "129131007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4164770,
+							"CONCEPT_NAME" : "Guillain-Barre syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "40956001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4070552,
+							"CONCEPT_NAME" : "Fisher's syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1767005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 1,
+			"name" : "Inpatient or Inpatient/ER visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "has no events in prior 'clean window'",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CorrelatedCriteria" : {
+									"Type" : "ALL",
+									"CriteriaList" : [
+										{
+											"Criteria" : {
+												"VisitOccurrence" : {
+													"CodesetId" : 1,
+													"VisitTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"EndWindow" : {
+												"Start" : {
+													"Days" : 0,
+													"Coeff" : -1
+												},
+												"End" : {
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : true
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : false,
+											"Occurrence" : {
+												"Type" : 2,
+												"Count" : 1,
+												"IsDistinct" : false
+											}
+										}
+									],
+									"DemographicCriteriaList" : [],
+									"Groups" : []
+								},
+								"CodesetId" : 0,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1081.json b/tests/cohorts/1081.json
new file mode 100644
index 00000000..336b1be3
--- /dev/null
+++ b/tests/cohorts/1081.json
@@ -0,0 +1,387 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 2,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"AdditionalCriteria" : {
+		"Type" : "ALL",
+		"CriteriaList" : [
+			{
+				"Criteria" : {
+					"VisitOccurrence" : {
+						"CodesetId" : 1,
+						"VisitTypeExclude" : false
+					}
+				},
+				"StartWindow" : {
+					"Start" : {
+						"Coeff" : -1
+					},
+					"End" : {
+						"Days" : 0,
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : false
+				},
+				"EndWindow" : {
+					"Start" : {
+						"Days" : 0,
+						"Coeff" : -1
+					},
+					"End" : {
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : true
+				},
+				"RestrictVisit" : false,
+				"IgnoreObservationPeriod" : false,
+				"Occurrence" : {
+					"Type" : 2,
+					"Count" : 1,
+					"IsDistinct" : false
+				}
+			}
+		],
+		"DemographicCriteriaList" : [],
+		"Groups" : []
+	},
+	"ConceptSets" : [
+		{
+			"id" : 1,
+			"name" : "Inpatient or Inpatient/ER visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 2,
+			"name" : "Myocardial Infarction and complication",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4329847,
+							"CONCEPT_NAME" : "Myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "22298006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 314666,
+							"CONCEPT_NAME" : "Old myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1755008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4108680,
+							"CONCEPT_NAME" : "Thrombosis of atrium, auricular appendage, and ventricle due to and following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "194868001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4108678,
+							"CONCEPT_NAME" : "Hemopericardium due to and following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "194862000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 438172,
+							"CONCEPT_NAME" : "Atrial septal defect due to and following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "194863005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4124687,
+							"CONCEPT_NAME" : "Cardiac rupture due to and following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "233847009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45766212,
+							"CONCEPT_NAME" : "Mitral valve regurgitation due to and following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "703326006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37109910,
+							"CONCEPT_NAME" : "Ventricular aneurysm due to and following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "723858002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37109911,
+							"CONCEPT_NAME" : "Pulmonary embolism due to and following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "723859005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37109912,
+							"CONCEPT_NAME" : "Arrhythmia due to and following acute myocardial infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "723860000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "has no events in prior 'clean window' - 365 days",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CorrelatedCriteria" : {
+									"Type" : "ALL",
+									"CriteriaList" : [
+										{
+											"Criteria" : {
+												"VisitOccurrence" : {
+													"CodesetId" : 1,
+													"VisitTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"EndWindow" : {
+												"Start" : {
+													"Days" : 0,
+													"Coeff" : -1
+												},
+												"End" : {
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : true
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : false,
+											"Occurrence" : {
+												"Type" : 2,
+												"Count" : 1,
+												"IsDistinct" : false
+											}
+										}
+									],
+									"DemographicCriteriaList" : [],
+									"Groups" : []
+								},
+								"CodesetId" : 2,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1082.json b/tests/cohorts/1082.json
new file mode 100644
index 00000000..7462bc6f
--- /dev/null
+++ b/tests/cohorts/1082.json
@@ -0,0 +1,189 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Myocarditis Pericarditis",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4289908,
+							"CONCEPT_NAME" : "Viral pericarditis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "70189005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4138837,
+							"CONCEPT_NAME" : "Pericarditis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "3238004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 314383,
+							"CONCEPT_NAME" : "Myocarditis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "50920009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4149913,
+							"CONCEPT_NAME" : "Systemic lupus erythematosus with pericarditis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "309762007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 318072,
+							"CONCEPT_NAME" : "Histoplasmosis with pericarditis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "187059008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44782774,
+							"CONCEPT_NAME" : "Chest pain due to pericarditis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "34791000119103",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "has no events in prior 'clean window' - 365 days",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 0,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1083.json b/tests/cohorts/1083.json
new file mode 100644
index 00000000..19f2e47c
--- /dev/null
+++ b/tests/cohorts/1083.json
@@ -0,0 +1,138 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 0,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Idiopathic and Immune Thrombocytopenia",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4159749,
+							"CONCEPT_NAME" : "Idiopathic maternal thrombocytopenia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "371106008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4103532,
+							"CONCEPT_NAME" : "Immune thrombocytopenia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "2897005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4119134,
+							"CONCEPT_NAME" : "Thrombocytopenic purpura",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "302873008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "has no events in prior 'clean window' - 365 days",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 0,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1084.json b/tests/cohorts/1084.json
new file mode 100644
index 00000000..b4fdc7f5
--- /dev/null
+++ b/tests/cohorts/1084.json
@@ -0,0 +1,146 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 3,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 1,
+			"name" : "Inpatient or Inpatient/ER visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 3,
+			"name" : "Disseminated intravascular coagulation",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 436093,
+							"CONCEPT_NAME" : "Disseminated intravascular coagulation",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "67406007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "has no events in prior 'clean window' - 365 days",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 3,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1085.json b/tests/cohorts/1085.json
new file mode 100644
index 00000000..f9a1ce97
--- /dev/null
+++ b/tests/cohorts/1085.json
@@ -0,0 +1,146 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 2,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 1,
+			"name" : "Inpatient or Inpatient/ER visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 2,
+			"name" : "Appendicitis",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440448,
+							"CONCEPT_NAME" : "Appendicitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "74400008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "has no events in prior 'clean window' - 365 days",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 2,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1086.json b/tests/cohorts/1086.json
new file mode 100644
index 00000000..77f2ca2d
--- /dev/null
+++ b/tests/cohorts/1086.json
@@ -0,0 +1,104 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 4,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 4,
+			"name" : "Transverse Myelitis",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443904,
+							"CONCEPT_NAME" : "Transverse myelopathy syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "16631009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "has no events in prior 'clean window' - 365 days",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 4,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1087.json b/tests/cohorts/1087.json
new file mode 100644
index 00000000..8b0d2bc1
--- /dev/null
+++ b/tests/cohorts/1087.json
@@ -0,0 +1,421 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 4,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"AdditionalCriteria" : {
+		"Type" : "ALL",
+		"CriteriaList" : [
+			{
+				"Criteria" : {
+					"VisitOccurrence" : {
+						"CodesetId" : 2,
+						"VisitTypeExclude" : false
+					}
+				},
+				"StartWindow" : {
+					"Start" : {
+						"Coeff" : -1
+					},
+					"End" : {
+						"Days" : 0,
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : false
+				},
+				"EndWindow" : {
+					"Start" : {
+						"Days" : 0,
+						"Coeff" : -1
+					},
+					"End" : {
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : true
+				},
+				"RestrictVisit" : false,
+				"IgnoreObservationPeriod" : false,
+				"Occurrence" : {
+					"Type" : 2,
+					"Count" : 1,
+					"IsDistinct" : false
+				}
+			}
+		],
+		"DemographicCriteriaList" : [],
+		"Groups" : []
+	},
+	"ConceptSets" : [
+		{
+			"id" : 2,
+			"name" : "Inpatient or Inpatient/ER visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 4,
+			"name" : "Hemorrhagic stroke subarachnoid intracerebral subdural",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 439847,
+							"CONCEPT_NAME" : "Intracranial hemorrhage",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "1386000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 432923,
+							"CONCEPT_NAME" : "Subarachnoid hemorrhage",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "21454007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 376713,
+							"CONCEPT_NAME" : "Cerebral hemorrhage",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "274100004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4148906,
+							"CONCEPT_NAME" : "Spontaneous subarachnoid hemorrhage",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "270907008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4144154,
+							"CONCEPT_NAME" : "Non-traumatic intracerebral ventricular hemorrhage",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "425957003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4111709,
+							"CONCEPT_NAME" : "Non-traumatic subdural hemorrhage",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "195176009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 42535426,
+							"CONCEPT_NAME" : "Acute nontraumatic subdural hemorrhage",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "291581000119109",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43530728,
+							"CONCEPT_NAME" : "Subacute non-traumatic intracranial subdural hemorrhage",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "291591000119107",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4174299,
+							"CONCEPT_NAME" : "Perinatal intracranial hemorrhage",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "276647007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36716544,
+							"CONCEPT_NAME" : "Fetal or neonatal non-traumatic intraventricular hemorrhage",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "722581000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4345688,
+							"CONCEPT_NAME" : "Intracerebral hemorrhage in fetus or newborn",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "240313004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43530727,
+							"CONCEPT_NAME" : "Spontaneous cerebral hemorrhage",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "291571000119106",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "has no events in prior 'clean window' - 365 days",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CorrelatedCriteria" : {
+									"Type" : "ALL",
+									"CriteriaList" : [
+										{
+											"Criteria" : {
+												"VisitOccurrence" : {
+													"CodesetId" : 2,
+													"VisitTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"EndWindow" : {
+												"Start" : {
+													"Days" : 0,
+													"Coeff" : -1
+												},
+												"End" : {
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : true
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : false,
+											"Occurrence" : {
+												"Type" : 2,
+												"Count" : 1,
+												"IsDistinct" : false
+											}
+										}
+									],
+									"DemographicCriteriaList" : [],
+									"Groups" : []
+								},
+								"CodesetId" : 4,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1088.json b/tests/cohorts/1088.json
new file mode 100644
index 00000000..75bc58d3
--- /dev/null
+++ b/tests/cohorts/1088.json
@@ -0,0 +1,308 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 1,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 1,
+			"name" : "Deep Vein Thrombosis broad",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4133004,
+							"CONCEPT_NAME" : "Deep venous thrombosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "128053003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4149782,
+							"CONCEPT_NAME" : "Thrombosis of vein of lower limb",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "309735004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 444247,
+							"CONCEPT_NAME" : "Venous thrombosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "111293003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 77310,
+							"CONCEPT_NAME" : "Deep vein phlebitis and thrombophlebitis of the leg",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "266267005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40481089,
+							"CONCEPT_NAME" : "Embolism from thrombosis of vein of lower extremity",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "444816006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435565,
+							"CONCEPT_NAME" : "Embolism and thrombosis of the vena cava",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "195437003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 193512,
+							"CONCEPT_NAME" : "Embolism and thrombosis of the renal vein",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "195438008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36712971,
+							"CONCEPT_NAME" : "Chronic deep venous thrombosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "15760351000119105",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435887,
+							"CONCEPT_NAME" : "Antepartum deep vein thrombosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "49956009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 438820,
+							"CONCEPT_NAME" : "Postpartum deep phlebothrombosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "56272000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44782752,
+							"CONCEPT_NAME" : "Acute deep venous thrombosis of internal jugular vein",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "135001000119100",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44782751,
+							"CONCEPT_NAME" : "Acute deep venous thrombosis of axillary vein",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "134961000119104",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4179911,
+							"CONCEPT_NAME" : "Axillary vein thrombosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "297156001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "has no events in prior 'clean window' - 365 days",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 1,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1089.json b/tests/cohorts/1089.json
new file mode 100644
index 00000000..f6b03d22
--- /dev/null
+++ b/tests/cohorts/1089.json
@@ -0,0 +1,268 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 3,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"AdditionalCriteria" : {
+		"Type" : "ALL",
+		"CriteriaList" : [
+			{
+				"Criteria" : {
+					"VisitOccurrence" : {
+						"CodesetId" : 2,
+						"VisitTypeExclude" : false
+					}
+				},
+				"StartWindow" : {
+					"Start" : {
+						"Coeff" : -1
+					},
+					"End" : {
+						"Days" : 0,
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : false
+				},
+				"EndWindow" : {
+					"Start" : {
+						"Days" : 0,
+						"Coeff" : -1
+					},
+					"End" : {
+						"Coeff" : 1
+					},
+					"UseIndexEnd" : false,
+					"UseEventEnd" : true
+				},
+				"RestrictVisit" : false,
+				"IgnoreObservationPeriod" : false,
+				"Occurrence" : {
+					"Type" : 2,
+					"Count" : 1,
+					"IsDistinct" : false
+				}
+			}
+		],
+		"DemographicCriteriaList" : [],
+		"Groups" : []
+	},
+	"ConceptSets" : [
+		{
+			"id" : 2,
+			"name" : "Inpatient or Inpatient/ER visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 3,
+			"name" : "cerebral infarction FDA conceptset proxy",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 443454,
+							"CONCEPT_NAME" : "Cerebral infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "432504007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40479572,
+							"CONCEPT_NAME" : "Infarct of cerebrum due to iatrogenic cerebrovascular accident",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "441526008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4046360,
+							"CONCEPT_NAME" : "Lacunar infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "230698000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "has no events in prior 'clean window' - 365 days",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CorrelatedCriteria" : {
+									"Type" : "ALL",
+									"CriteriaList" : [
+										{
+											"Criteria" : {
+												"VisitOccurrence" : {
+													"CodesetId" : 2,
+													"VisitTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"EndWindow" : {
+												"Start" : {
+													"Days" : 0,
+													"Coeff" : -1
+												},
+												"End" : {
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : true
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : false,
+											"Occurrence" : {
+												"Type" : 2,
+												"Count" : 1,
+												"IsDistinct" : false
+											}
+										}
+									],
+									"DemographicCriteriaList" : [],
+									"Groups" : []
+								},
+								"CodesetId" : 3,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1090.json b/tests/cohorts/1090.json
new file mode 100644
index 00000000..200f5592
--- /dev/null
+++ b/tests/cohorts/1090.json
@@ -0,0 +1,427 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 3,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 3,
+			"name" : "Pulmonary Embolism FDA concept proxy",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 254662,
+							"CONCEPT_NAME" : "Pulmonary infarction",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "64662007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 36713113,
+							"CONCEPT_NAME" : "Saddle embolus of pulmonary artery",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "328511000119109",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440417,
+							"CONCEPT_NAME" : "Pulmonary embolism",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "59282003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435616,
+							"CONCEPT_NAME" : "Amniotic fluid embolism",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17263003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435887,
+							"CONCEPT_NAME" : "Antepartum deep vein thrombosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "49956009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 196715,
+							"CONCEPT_NAME" : "Budd-Chiari syndrome",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "82385007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4062269,
+							"CONCEPT_NAME" : "Cerebral venous thrombosis in pregnancy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "200259003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 442055,
+							"CONCEPT_NAME" : "Obstetric air pulmonary embolism",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "200286003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 433832,
+							"CONCEPT_NAME" : "Obstetric blood-clot pulmonary embolism",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "200299000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 435026,
+							"CONCEPT_NAME" : "Obstetric pulmonary embolism",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "200284000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 440477,
+							"CONCEPT_NAME" : "Obstetric pyemic and septic pulmonary embolism",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "267284008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 318137,
+							"CONCEPT_NAME" : "Phlebitis and thrombophlebitis of intracranial sinuses",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "192753009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 199837,
+							"CONCEPT_NAME" : "Portal vein thrombosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17920008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 438820,
+							"CONCEPT_NAME" : "Postpartum deep phlebothrombosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "56272000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4235812,
+							"CONCEPT_NAME" : "Septic thrombophlebitis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "439731006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 195294,
+							"CONCEPT_NAME" : "Thrombosed hemorrhoids",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "75955007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4187790,
+							"CONCEPT_NAME" : "Thrombosis of retinal vein",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "46085004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 444247,
+							"CONCEPT_NAME" : "Venous thrombosis",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "111293003",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44782732,
+							"CONCEPT_NAME" : "Chronic pulmonary embolism",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "133971000119108",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40479606,
+							"CONCEPT_NAME" : "Septic pulmonary embolism",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "441557008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "has no events in prior 'clean window' - 365 days",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 3,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : true,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1091.json b/tests/cohorts/1091.json
new file mode 100644
index 00000000..849c6a95
--- /dev/null
+++ b/tests/cohorts/1091.json
@@ -0,0 +1,5192 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 55,
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+					},
+					{
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+		{
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+					},
+					{
+						"concept" : {
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+					{
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+					{
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+					{
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+					{
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+					},
+					{
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+					{
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+					}
+				]
+			}
+		},
+		{
+			"id" : 55,
+			"name" : "cerebral venous sinus thrombosis (CVST narrow)",
+			"expression" : {
+				"items" : [
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+						"concept" : {
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+							"CONCEPT_NAME" : "Cerebral infarction due to cerebral venous thrombosis, non-pyogenic",
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+					},
+					{
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+							"CONCEPT_NAME" : "Intracranial venous thrombosis",
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+						"includeDescendants" : true,
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+					},
+					{
+						"concept" : {
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+						"includeDescendants" : true,
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+					},
+					{
+						"concept" : {
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+					},
+					{
+						"concept" : {
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+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
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+					}
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+			}
+		},
+		{
+			"id" : 56,
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+					{
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+					{
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+						"includeMapped" : false
+					},
+					{
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+					{
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+					{
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+					{
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+					{
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+					}
+				]
+			}
+		},
+		{
+			"id" : 57,
+			"name" : "other Intraabdominal thrombosis",
+			"expression" : {
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+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeMapped" : false
+					},
+					{
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
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+					},
+					{
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+					},
+					{
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Thrombosis of mesenteric vein",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeDescendants" : true,
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+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Thrombosed hemorrhoids",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Splenic vein thrombosis",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Hepatic vein thrombosis",
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"VOCABULARY_ID" : "SNOMED",
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+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "All"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "Thrombocytopenia within 7 days of thrombosis with no such event in the past 90 days (clean window) ",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [],
+				"DemographicCriteriaList" : [],
+				"Groups" : [
+					{
+						"Type" : "ANY",
+						"CriteriaList" : [
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+								"Criteria" : {
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+										"MeasurementTypeExclude" : false,
+										"ValueAsNumber" : {
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+											"Op" : "bt",
+											"Extent" : 150
+										},
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+												"STANDARD_CONCEPT_CAPTION" : "Unknown",
+												"INVALID_REASON" : null,
+												"INVALID_REASON_CAPTION" : "Unknown",
+												"CONCEPT_CODE" : "mm3",
+												"DOMAIN_ID" : "Unit",
+												"VOCABULARY_ID" : "UCUM",
+												"CONCEPT_CLASS_ID" : null
+											},
+											{
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+												"CONCEPT_NAME" : "per cubic millimeter",
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+												"STANDARD_CONCEPT_CAPTION" : "Unknown",
+												"INVALID_REASON" : null,
+												"INVALID_REASON_CAPTION" : "Unknown",
+												"CONCEPT_CODE" : "/mm3",
+												"DOMAIN_ID" : "Unit",
+												"VOCABULARY_ID" : "UCUM",
+												"CONCEPT_CLASS_ID" : null
+											},
+											{
+												"CONCEPT_ID" : 8848,
+												"CONCEPT_NAME" : "thousand per microliter",
+												"STANDARD_CONCEPT" : null,
+												"STANDARD_CONCEPT_CAPTION" : "Unknown",
+												"INVALID_REASON" : null,
+												"INVALID_REASON_CAPTION" : "Unknown",
+												"CONCEPT_CODE" : "10*3/uL",
+												"DOMAIN_ID" : "Unit",
+												"VOCABULARY_ID" : "UCUM",
+												"CONCEPT_CLASS_ID" : null
+											},
+											{
+												"CONCEPT_ID" : 8961,
+												"CONCEPT_NAME" : "thousand per cubic millimeter",
+												"STANDARD_CONCEPT" : null,
+												"STANDARD_CONCEPT_CAPTION" : "Unknown",
+												"INVALID_REASON" : null,
+												"INVALID_REASON_CAPTION" : "Unknown",
+												"CONCEPT_CODE" : "10*3/mm3",
+												"DOMAIN_ID" : "Unit",
+												"VOCABULARY_ID" : "UCUM",
+												"CONCEPT_CLASS_ID" : null
+											},
+											{
+												"CONCEPT_ID" : 9444,
+												"CONCEPT_NAME" : "billion per liter",
+												"STANDARD_CONCEPT" : null,
+												"STANDARD_CONCEPT_CAPTION" : "Unknown",
+												"INVALID_REASON" : null,
+												"INVALID_REASON_CAPTION" : "Unknown",
+												"CONCEPT_CODE" : "10*9/L",
+												"DOMAIN_ID" : "Unit",
+												"VOCABULARY_ID" : "UCUM",
+												"CONCEPT_CLASS_ID" : null
+											},
+											{
+												"CONCEPT_ID" : 9254,
+												"CONCEPT_NAME" : "per liter",
+												"STANDARD_CONCEPT" : null,
+												"STANDARD_CONCEPT_CAPTION" : "Unknown",
+												"INVALID_REASON" : null,
+												"INVALID_REASON_CAPTION" : "Unknown",
+												"CONCEPT_CODE" : "/L",
+												"DOMAIN_ID" : "Unit",
+												"VOCABULARY_ID" : "UCUM",
+												"CONCEPT_CLASS_ID" : null
+											},
+											{
+												"CONCEPT_ID" : 8816,
+												"CONCEPT_NAME" : "million per milliliter",
+												"STANDARD_CONCEPT" : null,
+												"STANDARD_CONCEPT_CAPTION" : "Unknown",
+												"INVALID_REASON" : null,
+												"INVALID_REASON_CAPTION" : "Unknown",
+												"CONCEPT_CODE" : "10*6/mL",
+												"DOMAIN_ID" : "Unit",
+												"VOCABULARY_ID" : "UCUM",
+												"CONCEPT_CLASS_ID" : null
+											}
+										]
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 7,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 7,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							},
+							{
+								"Criteria" : {
+									"Measurement" : {
+										"CodesetId" : 2,
+										"MeasurementTypeExclude" : false,
+										"ValueAsNumber" : {
+											"Value" : 10,
+											"Op" : "bt",
+											"Extent" : 150
+										},
+										"RangeLow" : {
+											"Value" : 130,
+											"Op" : "bt",
+											"Extent" : 170
+										}
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 7,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 7,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							},
+							{
+								"Criteria" : {
+									"ConditionOccurrence" : {
+										"CodesetId" : 47,
+										"ConditionTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 7,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 7,
+										"Coeff" : 1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 2,
+									"Count" : 1,
+									"IsDistinct" : false
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					},
+					{
+						"Type" : "ALL",
+						"CriteriaList" : [
+							{
+								"Criteria" : {
+									"Measurement" : {
+										"CodesetId" : 2,
+										"MeasurementTypeExclude" : false,
+										"ValueAsNumber" : {
+											"Value" : 10,
+											"Op" : "bt",
+											"Extent" : 150
+										},
+										"Unit" : [
+											{
+												"CONCEPT_ID" : 8686,
+												"CONCEPT_NAME" : "cubic millimeter",
+												"STANDARD_CONCEPT" : null,
+												"STANDARD_CONCEPT_CAPTION" : "Unknown",
+												"INVALID_REASON" : null,
+												"INVALID_REASON_CAPTION" : "Unknown",
+												"CONCEPT_CODE" : "mm3",
+												"DOMAIN_ID" : "Unit",
+												"VOCABULARY_ID" : "UCUM",
+												"CONCEPT_CLASS_ID" : null
+											},
+											{
+												"CONCEPT_ID" : 8785,
+												"CONCEPT_NAME" : "per cubic millimeter",
+												"STANDARD_CONCEPT" : null,
+												"STANDARD_CONCEPT_CAPTION" : "Unknown",
+												"INVALID_REASON" : null,
+												"INVALID_REASON_CAPTION" : "Unknown",
+												"CONCEPT_CODE" : "/mm3",
+												"DOMAIN_ID" : "Unit",
+												"VOCABULARY_ID" : "UCUM",
+												"CONCEPT_CLASS_ID" : null
+											},
+											{
+												"CONCEPT_ID" : 8848,
+												"CONCEPT_NAME" : "thousand per microliter",
+												"STANDARD_CONCEPT" : null,
+												"STANDARD_CONCEPT_CAPTION" : "Unknown",
+												"INVALID_REASON" : null,
+												"INVALID_REASON_CAPTION" : "Unknown",
+												"CONCEPT_CODE" : "10*3/uL",
+												"DOMAIN_ID" : "Unit",
+												"VOCABULARY_ID" : "UCUM",
+												"CONCEPT_CLASS_ID" : null
+											},
+											{
+												"CONCEPT_ID" : 8961,
+												"CONCEPT_NAME" : "thousand per cubic millimeter",
+												"STANDARD_CONCEPT" : null,
+												"STANDARD_CONCEPT_CAPTION" : "Unknown",
+												"INVALID_REASON" : null,
+												"INVALID_REASON_CAPTION" : "Unknown",
+												"CONCEPT_CODE" : "10*3/mm3",
+												"DOMAIN_ID" : "Unit",
+												"VOCABULARY_ID" : "UCUM",
+												"CONCEPT_CLASS_ID" : null
+											},
+											{
+												"CONCEPT_ID" : 9444,
+												"CONCEPT_NAME" : "billion per liter",
+												"STANDARD_CONCEPT" : null,
+												"STANDARD_CONCEPT_CAPTION" : "Unknown",
+												"INVALID_REASON" : null,
+												"INVALID_REASON_CAPTION" : "Unknown",
+												"CONCEPT_CODE" : "10*9/L",
+												"DOMAIN_ID" : "Unit",
+												"VOCABULARY_ID" : "UCUM",
+												"CONCEPT_CLASS_ID" : null
+											},
+											{
+												"CONCEPT_ID" : 9254,
+												"CONCEPT_NAME" : "per liter",
+												"STANDARD_CONCEPT" : null,
+												"STANDARD_CONCEPT_CAPTION" : "Unknown",
+												"INVALID_REASON" : null,
+												"INVALID_REASON_CAPTION" : "Unknown",
+												"CONCEPT_CODE" : "/L",
+												"DOMAIN_ID" : "Unit",
+												"VOCABULARY_ID" : "UCUM",
+												"CONCEPT_CLASS_ID" : null
+											},
+											{
+												"CONCEPT_ID" : 45890995,
+												"CONCEPT_NAME" : "Million unit per milliliter",
+												"STANDARD_CONCEPT" : null,
+												"STANDARD_CONCEPT_CAPTION" : "Unknown",
+												"INVALID_REASON" : null,
+												"INVALID_REASON_CAPTION" : "Unknown",
+												"CONCEPT_CODE" : "10*6.[U]/mL",
+												"DOMAIN_ID" : "Unit",
+												"VOCABULARY_ID" : "UCUM",
+												"CONCEPT_CLASS_ID" : null
+											}
+										]
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 90,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 7,
+										"Coeff" : -1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 0,
+									"Count" : 0,
+									"IsDistinct" : false
+								}
+							},
+							{
+								"Criteria" : {
+									"Measurement" : {
+										"CodesetId" : 2,
+										"MeasurementTypeExclude" : false,
+										"ValueAsNumber" : {
+											"Value" : 10,
+											"Op" : "bt",
+											"Extent" : 150
+										},
+										"RangeLow" : {
+											"Value" : 130,
+											"Op" : "bt",
+											"Extent" : 170
+										}
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 90,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 7,
+										"Coeff" : -1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 0,
+									"Count" : 0,
+									"IsDistinct" : false
+								}
+							},
+							{
+								"Criteria" : {
+									"ConditionOccurrence" : {
+										"CodesetId" : 1,
+										"ConditionTypeExclude" : false
+									}
+								},
+								"StartWindow" : {
+									"Start" : {
+										"Days" : 90,
+										"Coeff" : -1
+									},
+									"End" : {
+										"Days" : 7,
+										"Coeff" : -1
+									},
+									"UseIndexEnd" : false,
+									"UseEventEnd" : false
+								},
+								"RestrictVisit" : false,
+								"IgnoreObservationPeriod" : false,
+								"Occurrence" : {
+									"Type" : 0,
+									"Count" : 0,
+									"IsDistinct" : false
+								}
+							}
+						],
+						"DemographicCriteriaList" : [],
+						"Groups" : []
+					}
+				]
+			}
+		},
+		{
+			"name" : "Thrombosis clean window period (-365 days)",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 56,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 34,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 35,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 49,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 52,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 50,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 57,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 44,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 40,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 41,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					},
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 43,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 365,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "StartDate",
+			"Offset" : 1
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1093.json b/tests/cohorts/1093.json
new file mode 100644
index 00000000..ce4dff13
--- /dev/null
+++ b/tests/cohorts/1093.json
@@ -0,0 +1,704 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ProcedureOccurrence" : {
+					"CodesetId" : 84,
+					"ProcedureTypeExclude" : false
+				}
+			},
+			{
+				"ProcedureOccurrence" : {
+					"ProcedureTypeExclude" : false,
+					"ProcedureSourceConcept" : 84
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Inpatient visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 43,
+			"name" : "Emergency or ER / Inpatient",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9203,
+							"CONCEPT_NAME" : "Emergency Room Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ER",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
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+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1094.json b/tests/cohorts/1094.json
new file mode 100644
index 00000000..fb05c80b
--- /dev/null
+++ b/tests/cohorts/1094.json
@@ -0,0 +1,27666 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ProcedureOccurrence" : {
+					"CodesetId" : 85,
+					"ProcedureTypeExclude" : false
+				}
+			},
+			{
+				"ProcedureOccurrence" : {
+					"ProcedureTypeExclude" : false,
+					"ProcedureSourceConcept" : 85
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Inpatient visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 43,
+			"name" : "Emergency or ER / Inpatient",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9203,
+							"CONCEPT_NAME" : "Emergency Room Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ER",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 81,
+			"name" : "Atrial Fibrillation (any)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 313217,
+							"CONCEPT_NAME" : "Atrial fibrillation",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "49436004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 85,
+			"name" : "Lower Extremity Bypass (Bucher et al)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2002187,
+							"CONCEPT_NAME" : "Aorta-iliac-femoral bypass",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "39.25",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2729943,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral Common Iliac Arteries with Autologous Arterial Tissue, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04100A8",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2730416,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral Common Iliac Arteries with Autologous Arterial Tissue, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04104A8",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2729923,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral Common Iliac Arteries with Autologous Venous Tissue, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0410098",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2730209,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral Common Iliac Arteries with Autologous Venous Tissue, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0410498",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2730169,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral Common Iliac Arteries with Nonautologous Tissue Substitute, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04100K8",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2730456,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral Common Iliac Arteries with Nonautologous Tissue Substitute, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04104K8",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2729963,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral Common Iliac Arteries with Synthetic Substitute, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04100J8",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2730436,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral Common Iliac Arteries with Synthetic Substitute, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04104J8",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2730189,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral Common Iliac Arteries, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04100Z8",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2730476,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral Common Iliac Arteries, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04104Z8",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2729949,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral External Iliac Arteries with Autologous Arterial Tissue, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04100AG",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2730422,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral External Iliac Arteries with Autologous Arterial Tissue, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04104AG",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2729929,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral External Iliac Arteries with Autologous Venous Tissue, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "041009G",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2730215,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral External Iliac Arteries with Autologous Venous Tissue, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "041049G",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2730175,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral External Iliac Arteries with Nonautologous Tissue Substitute, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04100KG",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2730462,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral External Iliac Arteries with Nonautologous Tissue Substitute, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04104KG",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2729969,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral External Iliac Arteries with Synthetic Substitute, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04100JG",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2730442,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral External Iliac Arteries with Synthetic Substitute, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04104JG",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2730195,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral External Iliac Arteries, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04100ZG",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2730668,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral External Iliac Arteries, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04104ZG",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2729952,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral Femoral Arteries with Autologous Arterial Tissue, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04100AK",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2730425,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral Femoral Arteries with Autologous Arterial Tissue, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "04104AK",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2729932,
+							"CONCEPT_NAME" : "Bypass Abdominal Aorta to Bilateral Femoral Arteries with Autologous Venous Tissue, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "041009K",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					{
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+					{
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+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2727403,
+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Bilateral Upper Leg Artery, Open Approach",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160Z8",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2727362,
+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Extracranial Artery with Autologous Arterial Tissue, Open Approach",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160AK",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Extracranial Artery with Autologous Venous Tissue, Open Approach",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "031609K",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Extracranial Artery with Nonautologous Tissue Substitute, Open Approach",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160KK",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Extracranial Artery with Synthetic Substitute, Open Approach",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160JK",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Extracranial Artery, Open Approach",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160ZK",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Lower Arm Artery with Autologous Arterial Tissue, Open Approach",
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160A4",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Lower Arm Artery with Autologous Venous Tissue, Open Approach",
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0316094",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Lower Arm Artery with Nonautologous Tissue Substitute, Open Approach",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160K4",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Lower Arm Artery with Synthetic Substitute, Open Approach",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160J4",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
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+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Lower Arm Artery, Open Approach",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160Z4",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160AB",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Lower Leg Artery with Autologous Venous Tissue, Open Approach",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Lower Leg Artery with Nonautologous Tissue Substitute, Open Approach",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160KB",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Lower Leg Artery with Synthetic Substitute, Open Approach",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160JB",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Lower Leg Artery, Open Approach",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160ZB",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Upper Arm Artery with Autologous Arterial Tissue, Open Approach",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160A1",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
+					},
+					{
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Upper Arm Artery with Autologous Venous Tissue, Open Approach",
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0316091",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Upper Arm Artery with Nonautologous Tissue Substitute, Open Approach",
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160K1",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Upper Arm Artery with Synthetic Substitute, Open Approach",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160J1",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Upper Arm Artery, Open Approach",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160Z1",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
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+					{
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160A7",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Upper Leg Artery with Autologous Venous Tissue, Open Approach",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160K7",
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+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Left Upper Leg Artery, Open Approach",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160Z7",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Lower Arm Vein with Autologous Arterial Tissue, Open Approach",
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160AF",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Lower Arm Vein with Autologous Venous Tissue, Open Approach",
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "031609F",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Lower Arm Vein with Nonautologous Tissue Substitute, Open Approach",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160KF",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2727376,
+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Lower Arm Vein with Synthetic Substitute, Open Approach",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03160JF",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Bypass Left Axillary Artery to Lower Arm Vein, Open Approach",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
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+						"includeMapped" : false
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+					{
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+					{
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeDescendants" : false,
+						"includeMapped" : false
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+					{
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+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+					{
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+							"CONCEPT_NAME" : "Bypass Left Femoral Artery to Left Femoral Artery with Nonautologous Tissue Substitute, Percutaneous Endoscopic Approach",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+							"CONCEPT_NAME" : "Bypass Left Femoral Artery to Left Femoral Artery with Synthetic Substitute, Open Approach",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+						"includeDescendants" : false,
+						"includeMapped" : false
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+					{
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
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+					{
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+						"includeMapped" : false
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+					{
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeMapped" : false
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeMapped" : false
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+							"CONCEPT_NAME" : "Bypass Left Femoral Artery to Right Femoral Artery with Synthetic Substitute, Percutaneous Endoscopic Approach",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeMapped" : false
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+					{
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+					{
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+					{
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "ICD10PCS",
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+					{
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+							"INVALID_REASON_CAPTION" : "Valid",
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+					{
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+						"includeMapped" : false
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+					{
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+					{
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+					{
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "ICD10PCS",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeMapped" : false
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+							"VOCABULARY_ID" : "ICD10PCS",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+							"CONCEPT_NAME" : "Bypass Right Axillary Artery to Lower Arm Vein with Autologous Arterial Tissue, Open Approach",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03150AF",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+					{
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+							"CONCEPT_NAME" : "Bypass Right Axillary Artery to Lower Arm Vein with Autologous Venous Tissue, Open Approach",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
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+					{
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+							"VOCABULARY_ID" : "ICD10PCS",
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+						"includeMapped" : false
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+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeMapped" : false
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					{
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "Age above 18 years",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [],
+				"DemographicCriteriaList" : [
+					{
+						"Age" : {
+							"Value" : 18,
+							"Op" : "gte"
+						}
+					}
+				],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "Inpatient visit on day of surgery without ER visit immediately on or prior",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"VisitOccurrence" : {
+								"CorrelatedCriteria" : {
+									"Type" : "ALL",
+									"CriteriaList" : [
+										{
+											"Criteria" : {
+												"VisitOccurrence" : {
+													"CodesetId" : 43,
+													"VisitTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Days" : 2,
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : false,
+											"Occurrence" : {
+												"Type" : 0,
+												"Count" : 0,
+												"IsDistinct" : false
+											}
+										}
+									],
+									"DemographicCriteriaList" : [],
+									"Groups" : []
+								},
+								"CodesetId" : 0,
+								"VisitTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"EndWindow" : {
+							"Start" : {
+								"Days" : 1,
+								"Coeff" : 1
+							},
+							"End" : {
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : true
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "Atrial fibrillation (any) within 14d of surgery",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 81,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"End" : {
+								"Days" : 14,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "No prior atrial fibrillation ",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 81,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1095.json b/tests/cohorts/1095.json
new file mode 100644
index 00000000..385df890
--- /dev/null
+++ b/tests/cohorts/1095.json
@@ -0,0 +1,874 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ProcedureOccurrence" : {
+					"CodesetId" : 86,
+					"ProcedureTypeExclude" : false
+				}
+			},
+			{
+				"ProcedureOccurrence" : {
+					"ProcedureTypeExclude" : false,
+					"ProcedureSourceConcept" : 86
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Inpatient visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 43,
+			"name" : "Emergency or ER / Inpatient",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9203,
+							"CONCEPT_NAME" : "Emergency Room Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ER",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 81,
+			"name" : "Atrial Fibrillation (any)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 313217,
+							"CONCEPT_NAME" : "Atrial fibrillation",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "49436004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 86,
+			"name" : "Carotid Endarterectomy (Bucher et al)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2002027,
+							"CONCEPT_NAME" : "Endarterectomy, other vessels of head and neck",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "38.12",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728555,
+							"CONCEPT_NAME" : "Extirpation of Matter from Face Artery, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CR0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728556,
+							"CONCEPT_NAME" : "Extirpation of Matter from Face Artery, Percutaneous Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CR3ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728557,
+							"CONCEPT_NAME" : "Extirpation of Matter from Face Artery, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CR4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728410,
+							"CONCEPT_NAME" : "Extirpation of Matter from Left Common Carotid Artery, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CJ0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728412,
+							"CONCEPT_NAME" : "Extirpation of Matter from Left Common Carotid Artery, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CJ4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728546,
+							"CONCEPT_NAME" : "Extirpation of Matter from Left External Carotid Artery, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CN0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728548,
+							"CONCEPT_NAME" : "Extirpation of Matter from Left External Carotid Artery, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CN4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728540,
+							"CONCEPT_NAME" : "Extirpation of Matter from Left Internal Carotid Artery, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CL0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728542,
+							"CONCEPT_NAME" : "Extirpation of Matter from Left Internal Carotid Artery, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CL4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728561,
+							"CONCEPT_NAME" : "Extirpation of Matter from Left Temporal Artery, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CT0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728562,
+							"CONCEPT_NAME" : "Extirpation of Matter from Left Temporal Artery, Percutaneous Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CT3ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728563,
+							"CONCEPT_NAME" : "Extirpation of Matter from Left Temporal Artery, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CT4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728567,
+							"CONCEPT_NAME" : "Extirpation of Matter from Left Thyroid Artery, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CV0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728568,
+							"CONCEPT_NAME" : "Extirpation of Matter from Left Thyroid Artery, Percutaneous Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CV3ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728569,
+							"CONCEPT_NAME" : "Extirpation of Matter from Left Thyroid Artery, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CV4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728552,
+							"CONCEPT_NAME" : "Extirpation of Matter from Left Vertebral Artery, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CQ0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728554,
+							"CONCEPT_NAME" : "Extirpation of Matter from Left Vertebral Artery, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CQ4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728407,
+							"CONCEPT_NAME" : "Extirpation of Matter from Right Common Carotid Artery, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CH0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728409,
+							"CONCEPT_NAME" : "Extirpation of Matter from Right Common Carotid Artery, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CH4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728543,
+							"CONCEPT_NAME" : "Extirpation of Matter from Right External Carotid Artery, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CM0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728545,
+							"CONCEPT_NAME" : "Extirpation of Matter from Right External Carotid Artery, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CM4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728413,
+							"CONCEPT_NAME" : "Extirpation of Matter from Right Internal Carotid Artery, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CK0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728539,
+							"CONCEPT_NAME" : "Extirpation of Matter from Right Internal Carotid Artery, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CK4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728558,
+							"CONCEPT_NAME" : "Extirpation of Matter from Right Temporal Artery, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CS0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728559,
+							"CONCEPT_NAME" : "Extirpation of Matter from Right Temporal Artery, Percutaneous Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CS3ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728560,
+							"CONCEPT_NAME" : "Extirpation of Matter from Right Temporal Artery, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CS4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728564,
+							"CONCEPT_NAME" : "Extirpation of Matter from Right Thyroid Artery, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CU0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728565,
+							"CONCEPT_NAME" : "Extirpation of Matter from Right Thyroid Artery, Percutaneous Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CU3ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728566,
+							"CONCEPT_NAME" : "Extirpation of Matter from Right Thyroid Artery, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CU4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728549,
+							"CONCEPT_NAME" : "Extirpation of Matter from Right Vertebral Artery, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CP0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2728551,
+							"CONCEPT_NAME" : "Extirpation of Matter from Right Vertebral Artery, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "03CP4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2000061,
+							"CONCEPT_NAME" : "Percutaneous insertion of carotid artery stent(s)",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "00.63",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "Age above 18 years",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [],
+				"DemographicCriteriaList" : [
+					{
+						"Age" : {
+							"Value" : 18,
+							"Op" : "gte"
+						}
+					}
+				],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "Inpatient visit on day of surgery without ER visit immediately on or prior",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"VisitOccurrence" : {
+								"CorrelatedCriteria" : {
+									"Type" : "ALL",
+									"CriteriaList" : [
+										{
+											"Criteria" : {
+												"VisitOccurrence" : {
+													"CodesetId" : 43,
+													"VisitTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Days" : 2,
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : false,
+											"Occurrence" : {
+												"Type" : 0,
+												"Count" : 0,
+												"IsDistinct" : false
+											}
+										}
+									],
+									"DemographicCriteriaList" : [],
+									"Groups" : []
+								},
+								"CodesetId" : 0,
+								"VisitTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"EndWindow" : {
+							"Start" : {
+								"Days" : 1,
+								"Coeff" : 1
+							},
+							"End" : {
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : true
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "Atrial fibrillation (any) within 14d of surgery",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 81,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"End" : {
+								"Days" : 14,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "No prior atrial fibrillation ",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 81,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1097.json b/tests/cohorts/1097.json
new file mode 100644
index 00000000..789008ec
--- /dev/null
+++ b/tests/cohorts/1097.json
@@ -0,0 +1,1911 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ProcedureOccurrence" : {
+					"CodesetId" : 88,
+					"ProcedureTypeExclude" : false
+				}
+			},
+			{
+				"ProcedureOccurrence" : {
+					"ProcedureTypeExclude" : false,
+					"ProcedureSourceConcept" : 88
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Inpatient visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 43,
+			"name" : "Emergency or ER / Inpatient",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9203,
+							"CONCEPT_NAME" : "Emergency Room Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ER",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 81,
+			"name" : "Atrial Fibrillation (any)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 313217,
+							"CONCEPT_NAME" : "Atrial fibrillation",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "49436004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 88,
+			"name" : "Esophagectomy (Bucher et al)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2002489,
+							"CONCEPT_NAME" : "Antesternal esophageal anastomosis with interposition of colon",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "42.65",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2002487,
+							"CONCEPT_NAME" : "Antesternal esophageal anastomosis with interposition of small bowel",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "42.63",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2002485,
+							"CONCEPT_NAME" : "Antesternal esophagoesophagostomy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "42.61",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2746786,
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0DB80ZZ",
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+							"VOCABULARY_ID" : "ICD10PCS",
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"INVALID_REASON_CAPTION" : "Valid",
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+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2746792,
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+					{
+						"concept" : {
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+							"INVALID_REASON_CAPTION" : "Valid",
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+					{
+						"concept" : {
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Other antesternal anastomosis of esophagus",
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeMapped" : false
+					},
+					{
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+					},
+					{
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+					},
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+							"INVALID_REASON_CAPTION" : "Valid",
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+						"includeMapped" : false
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+						"includeMapped" : false
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+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+						"concept" : {
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+					},
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+							"CONCEPT_NAME" : "Total esophagectomy",
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+					},
+					{
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+							"CONCEPT_NAME" : "Transfer Large Intestine to Esophagus, Open Approach",
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+					},
+					{
+						"concept" : {
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+					}
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+		}
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+	"ExpressionLimit" : {
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+			"name" : "Age above 18 years",
+			"expression" : {
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+				"CriteriaList" : [],
+				"DemographicCriteriaList" : [
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+						"Age" : {
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+							"Op" : "gte"
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+		},
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+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"EndWindow" : {
+							"Start" : {
+								"Days" : 1,
+								"Coeff" : 1
+							},
+							"End" : {
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : true
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "Atrial fibrillation (any) within 14d of surgery",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 81,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"End" : {
+								"Days" : 14,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "No prior atrial fibrillation ",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 81,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1098.json b/tests/cohorts/1098.json
new file mode 100644
index 00000000..7c101a08
--- /dev/null
+++ b/tests/cohorts/1098.json
@@ -0,0 +1,517 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ProcedureOccurrence" : {
+					"CodesetId" : 84,
+					"ProcedureTypeExclude" : false
+				}
+			},
+			{
+				"ProcedureOccurrence" : {
+					"ProcedureTypeExclude" : false,
+					"ProcedureSourceConcept" : 84
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Inpatient visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 43,
+			"name" : "Emergency or ER / Inpatient",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9203,
+							"CONCEPT_NAME" : "Emergency Room Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ER",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 81,
+			"name" : "Atrial Fibrillation (any)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 313217,
+							"CONCEPT_NAME" : "Atrial fibrillation",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "49436004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 84,
+			"name" : "Pancreatectomy (Bucher et al)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2003348,
+							"CONCEPT_NAME" : "Distal pancreatectomy",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "52.52",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2750943,
+							"CONCEPT_NAME" : "Excision of Pancreas, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0FBG0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2750945,
+							"CONCEPT_NAME" : "Excision of Pancreas, Percutaneous Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0FBG3ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2750947,
+							"CONCEPT_NAME" : "Excision of Pancreas, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0FBG4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43017182,
+							"CONCEPT_NAME" : "Excision of Pancreas, Via Natural or Artificial Opening Endoscopic",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0FBG8ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2003350,
+							"CONCEPT_NAME" : "Other partial pancreatectomy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "52.59",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2003347,
+							"CONCEPT_NAME" : "Proximal pancreatectomy",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "52.51",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2003362,
+							"CONCEPT_NAME" : "Radical pancreaticoduodenectomy",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "52.7",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "3-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2003349,
+							"CONCEPT_NAME" : "Radical subtotal pancreatectomy",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "52.53",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2753534,
+							"CONCEPT_NAME" : "Resection of Pancreas, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0FTG0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2753535,
+							"CONCEPT_NAME" : "Resection of Pancreas, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0FTG4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2003351,
+							"CONCEPT_NAME" : "Total pancreatectomy",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "52.6",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "3-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "Age above 18 years",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [],
+				"DemographicCriteriaList" : [
+					{
+						"Age" : {
+							"Value" : 18,
+							"Op" : "gte"
+						}
+					}
+				],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "Inpatient visit on day of surgery without ER visit immediately on or prior",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"VisitOccurrence" : {
+								"CorrelatedCriteria" : {
+									"Type" : "ALL",
+									"CriteriaList" : [
+										{
+											"Criteria" : {
+												"VisitOccurrence" : {
+													"CodesetId" : 43,
+													"VisitTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Days" : 2,
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : false,
+											"Occurrence" : {
+												"Type" : 0,
+												"Count" : 0,
+												"IsDistinct" : false
+											}
+										}
+									],
+									"DemographicCriteriaList" : [],
+									"Groups" : []
+								},
+								"CodesetId" : 0,
+								"VisitTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"EndWindow" : {
+							"Start" : {
+								"Days" : 1,
+								"Coeff" : 1
+							},
+							"End" : {
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : true
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "Atrial fibrillation (any) within 14d of surgery",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 81,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"End" : {
+								"Days" : 14,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "No prior atrial fibrillation ",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 81,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1099.json b/tests/cohorts/1099.json
new file mode 100644
index 00000000..43dfb3d2
--- /dev/null
+++ b/tests/cohorts/1099.json
@@ -0,0 +1,1248 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ProcedureOccurrence" : {
+					"CodesetId" : 83,
+					"ProcedureTypeExclude" : false
+				}
+			},
+			{
+				"ProcedureOccurrence" : {
+					"ProcedureTypeExclude" : false,
+					"ProcedureSourceConcept" : 83
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Inpatient visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 43,
+			"name" : "Emergency or ER / Inpatient",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9203,
+							"CONCEPT_NAME" : "Emergency Room Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ER",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 81,
+			"name" : "Atrial Fibrillation (any)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 313217,
+							"CONCEPT_NAME" : "Atrial fibrillation",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "49436004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 83,
+			"name" : "Colectomy (Bucher et al)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43016394,
+							"CONCEPT_NAME" : "Excision of Descending Colon, Via Natural or Artificial Opening With Percutaneous Endoscopic Assistance",
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+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0DBMFZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2747030,
+							"CONCEPT_NAME" : "Excision of Large Intestine, Open Approach",
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0DBE0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2747032,
+							"CONCEPT_NAME" : "Excision of Large Intestine, Percutaneous Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
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+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0DBE3ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Excision of Large Intestine, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0DBE4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2747036,
+							"CONCEPT_NAME" : "Excision of Large Intestine, Via Natural or Artificial Opening",
+							"STANDARD_CONCEPT" : "S",
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+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0DBE7ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2747038,
+							"CONCEPT_NAME" : "Excision of Large Intestine, Via Natural or Artificial Opening Endoscopic",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0DBE8ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43016392,
+							"CONCEPT_NAME" : "Excision of Left Large Intestine, Via Natural or Artificial Opening With Percutaneous Endoscopic Assistance",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0DBGFZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43016398,
+							"CONCEPT_NAME" : "Excision of Sigmoid Colon, Via Natural or Artificial Opening With Percutaneous Endoscopic Assistance",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0DBNFZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 43016393,
+							"CONCEPT_NAME" : "Excision of Transverse Colon, Via Natural or Artificial Opening With Percutaneous Endoscopic Assistance",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0DBLFZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2000811,
+							"CONCEPT_NAME" : "Laparoscopic cecectomy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17.32",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Laparoscopic left hemicolectomy",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17.35",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
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+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
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+							"CONCEPT_NAME" : "Laparoscopic multiple segmental resection of large intestine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
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+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2000833,
+							"CONCEPT_NAME" : "Laparoscopic resection of transverse colon",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17.34",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2000832,
+							"CONCEPT_NAME" : "Laparoscopic right hemicolectomy",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17.33",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2000835,
+							"CONCEPT_NAME" : "Laparoscopic sigmoidectomy",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17.36",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2002768,
+							"CONCEPT_NAME" : "Laparoscopic total intra-abdominal colectomy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "45.81",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2002751,
+							"CONCEPT_NAME" : "Open and other cecectomy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "45.72",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2002764,
+							"CONCEPT_NAME" : "Open and other left hemicolectomy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "45.75",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2002750,
+							"CONCEPT_NAME" : "Open and other multiple segmental resection of large intestine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "45.71",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2002763,
+							"CONCEPT_NAME" : "Open and other resection of transverse colon",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "45.74",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2002762,
+							"CONCEPT_NAME" : "Open and other right hemicolectomy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "45.73",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2002765,
+							"CONCEPT_NAME" : "Open and other sigmoidectomy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "45.76",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2002769,
+							"CONCEPT_NAME" : "Open total intra-abdominal colectomy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "45.82",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2002766,
+							"CONCEPT_NAME" : "Other and unspecified partial excision of large intestine",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "45.79",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2002770,
+							"CONCEPT_NAME" : "Other and unspecified total intra-abdominal colectomy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "45.83",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2000836,
+							"CONCEPT_NAME" : "Other laparoscopic partial excision of large intestine",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "17.39",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2753386,
+							"CONCEPT_NAME" : "Resection of Ascending Colon, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0DTK0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2753378,
+							"CONCEPT_NAME" : "Resection of Cecum, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
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+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "Atrial fibrillation (any) within 14d of surgery",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 81,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"End" : {
+								"Days" : 14,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "No prior atrial fibrillation ",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 81,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/11.json b/tests/cohorts/11.json
new file mode 100644
index 00000000..f52f7649
--- /dev/null
+++ b/tests/cohorts/11.json
@@ -0,0 +1,304 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ConditionOccurrence" : {
+					"CodesetId" : 3,
+					"ConditionTypeExclude" : false
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "All"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 3,
+			"name" : "Malaise or Fatigue or (Malaise and Fatigue)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4223659,
+							"CONCEPT_NAME" : "Fatigue",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "84229001",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4272240,
+							"CONCEPT_NAME" : "Malaise",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "367391008",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4158491,
+							"CONCEPT_NAME" : "C/O - debility - malaise",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "272036004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37396808,
+							"CONCEPT_NAME" : "Cancer-related fatigue",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "716749005",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4219363,
+							"CONCEPT_NAME" : "Congenital debility of fetus",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "82022002",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4221911,
+							"CONCEPT_NAME" : "Fatigue associated with AIDS",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "420900006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37205051,
+							"CONCEPT_NAME" : "Fatigue due to chemotherapy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "784317004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 37205052,
+							"CONCEPT_NAME" : "Fatigue due to radiation therapy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "784318009",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 45772721,
+							"CONCEPT_NAME" : "Fatigue due to treatment",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "704369007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4225027,
+							"CONCEPT_NAME" : "Malaise associated with AIDS",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "420801006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 40484614,
+							"CONCEPT_NAME" : "Postexertional fatigue",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "444042007",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4092860,
+							"CONCEPT_NAME" : "Rapid fatigue of gait",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "250002000",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4090207,
+							"CONCEPT_NAME" : "Senile asthenia",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "18726006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 44782753,
+							"CONCEPT_NAME" : "Weakness as a late effect of stroke",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "148871000119109",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : true,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 4309912,
+							"CONCEPT_NAME" : "Generally unwell",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "213257006",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "All"
+	},
+	"InclusionRules" : [],
+	"EndStrategy" : {
+		"DateOffset" : {
+			"DateField" : "EndDate",
+			"Offset" : 14
+		}
+	},
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1100.json b/tests/cohorts/1100.json
new file mode 100644
index 00000000..947ba8dc
--- /dev/null
+++ b/tests/cohorts/1100.json
@@ -0,0 +1,653 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ProcedureOccurrence" : {
+					"CodesetId" : 85,
+					"ProcedureTypeExclude" : false
+				}
+			},
+			{
+				"ProcedureOccurrence" : {
+					"ProcedureTypeExclude" : false,
+					"ProcedureSourceConcept" : 85
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Inpatient visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 43,
+			"name" : "Emergency or ER / Inpatient",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9203,
+							"CONCEPT_NAME" : "Emergency Room Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ER",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 81,
+			"name" : "Atrial Fibrillation (any)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 313217,
+							"CONCEPT_NAME" : "Atrial fibrillation",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "49436004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 85,
+			"name" : "Cystectomy (Bucher et al)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2773930,
+							"CONCEPT_NAME" : "Excision of Bladder, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0TBB0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2773932,
+							"CONCEPT_NAME" : "Excision of Bladder, Percutaneous Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0TBB3ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2773934,
+							"CONCEPT_NAME" : "Excision of Bladder, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0TBB4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2003806,
+							"CONCEPT_NAME" : "Other total cystectomy",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "57.79",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2003803,
+							"CONCEPT_NAME" : "Partial cystectomy",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "57.6",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "3-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2003805,
+							"CONCEPT_NAME" : "Radical cystectomy",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "57.71",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2780485,
+							"CONCEPT_NAME" : "Resection of Bilateral Seminal Vesicles, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0VT30ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2780486,
+							"CONCEPT_NAME" : "Resection of Bilateral Seminal Vesicles, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0VT34ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2776775,
+							"CONCEPT_NAME" : "Resection of Bladder, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0TTB0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2776776,
+							"CONCEPT_NAME" : "Resection of Bladder, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0TTB4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2776777,
+							"CONCEPT_NAME" : "Resection of Bladder, Via Natural or Artificial Opening",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0TTB7ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2776778,
+							"CONCEPT_NAME" : "Resection of Bladder, Via Natural or Artificial Opening Endoscopic",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0TTB8ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2780477,
+							"CONCEPT_NAME" : "Resection of Prostate, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0VT00ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2780478,
+							"CONCEPT_NAME" : "Resection of Prostate, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0VT04ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2780479,
+							"CONCEPT_NAME" : "Resection of Prostate, Via Natural or Artificial Opening",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0VT07ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2780480,
+							"CONCEPT_NAME" : "Resection of Prostate, Via Natural or Artificial Opening Endoscopic",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0VT08ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2776783,
+							"CONCEPT_NAME" : "Resection of Urethra, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0TTD0ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2776972,
+							"CONCEPT_NAME" : "Resection of Urethra, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0TTD4ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2776973,
+							"CONCEPT_NAME" : "Resection of Urethra, Via Natural or Artificial Opening",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0TTD7ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2776974,
+							"CONCEPT_NAME" : "Resection of Urethra, Via Natural or Artificial Opening Endoscopic",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0TTD8ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "Age above 18 years",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [],
+				"DemographicCriteriaList" : [
+					{
+						"Age" : {
+							"Value" : 18,
+							"Op" : "gte"
+						}
+					}
+				],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "Inpatient visit on day of surgery without ER visit immediately on or prior",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"VisitOccurrence" : {
+								"CorrelatedCriteria" : {
+									"Type" : "ALL",
+									"CriteriaList" : [
+										{
+											"Criteria" : {
+												"VisitOccurrence" : {
+													"CodesetId" : 43,
+													"VisitTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Days" : 2,
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : false,
+											"Occurrence" : {
+												"Type" : 0,
+												"Count" : 0,
+												"IsDistinct" : false
+											}
+										}
+									],
+									"DemographicCriteriaList" : [],
+									"Groups" : []
+								},
+								"CodesetId" : 0,
+								"VisitTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"EndWindow" : {
+							"Start" : {
+								"Days" : 1,
+								"Coeff" : 1
+							},
+							"End" : {
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : true
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "Atrial fibrillation (any) within 14d of surgery",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 81,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"End" : {
+								"Days" : 14,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "No prior atrial fibrillation ",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 81,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/1101.json b/tests/cohorts/1101.json
new file mode 100644
index 00000000..8e3a4332
--- /dev/null
+++ b/tests/cohorts/1101.json
@@ -0,0 +1,942 @@
+{
+	"cdmVersionRange" : ">=5.0.0",
+	"PrimaryCriteria" : {
+		"CriteriaList" : [
+			{
+				"ProcedureOccurrence" : {
+					"CodesetId" : 84,
+					"ProcedureTypeExclude" : false
+				}
+			},
+			{
+				"ProcedureOccurrence" : {
+					"ProcedureTypeExclude" : false,
+					"ProcedureSourceConcept" : 84
+				}
+			}
+		],
+		"ObservationWindow" : {
+			"PriorDays" : 0,
+			"PostDays" : 0
+		},
+		"PrimaryCriteriaLimit" : {
+			"Type" : "First"
+		}
+	},
+	"ConceptSets" : [
+		{
+			"id" : 0,
+			"name" : "Inpatient visit",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9201,
+							"CONCEPT_NAME" : "Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "IP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 43,
+			"name" : "Emergency or ER / Inpatient",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 262,
+							"CONCEPT_NAME" : "Emergency Room and Inpatient Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ERIP",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 9203,
+							"CONCEPT_NAME" : "Emergency Room Visit",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "ER",
+							"DOMAIN_ID" : "Visit",
+							"VOCABULARY_ID" : "Visit",
+							"CONCEPT_CLASS_ID" : "Visit"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 81,
+			"name" : "Atrial Fibrillation (any)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 313217,
+							"CONCEPT_NAME" : "Atrial fibrillation",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "49436004",
+							"DOMAIN_ID" : "Condition",
+							"VOCABULARY_ID" : "SNOMED",
+							"CONCEPT_CLASS_ID" : "Clinical Finding"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : true,
+						"includeMapped" : false
+					}
+				]
+			}
+		},
+		{
+			"id" : 84,
+			"name" : "Nephrectomy (Bucher et al)",
+			"expression" : {
+				"items" : [
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2003623,
+							"CONCEPT_NAME" : "Bilateral nephrectomy",
+							"STANDARD_CONCEPT" : "N",
+							"STANDARD_CONCEPT_CAPTION" : "Non-Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "55.54",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD9Proc",
+							"CONCEPT_CLASS_ID" : "4-dig billing code"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2773711,
+							"CONCEPT_NAME" : "Excision of Left Kidney Pelvis, Open Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0TB40ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2773713,
+							"CONCEPT_NAME" : "Excision of Left Kidney Pelvis, Percutaneous Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0TB43ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2773715,
+							"CONCEPT_NAME" : "Excision of Left Kidney Pelvis, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0TB44ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					},
+					{
+						"concept" : {
+							"CONCEPT_ID" : 2773717,
+							"CONCEPT_NAME" : "Excision of Left Kidney Pelvis, Via Natural or Artificial Opening",
+							"STANDARD_CONCEPT" : "S",
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+					{
+						"concept" : {
+							"CONCEPT_ID" : 2776754,
+							"CONCEPT_NAME" : "Resection of Right Kidney, Percutaneous Endoscopic Approach",
+							"STANDARD_CONCEPT" : "S",
+							"STANDARD_CONCEPT_CAPTION" : "Standard",
+							"INVALID_REASON" : "V",
+							"INVALID_REASON_CAPTION" : "Valid",
+							"CONCEPT_CODE" : "0TT04ZZ",
+							"DOMAIN_ID" : "Procedure",
+							"VOCABULARY_ID" : "ICD10PCS",
+							"CONCEPT_CLASS_ID" : "ICD10PCS"
+						},
+						"isExcluded" : false,
+						"includeDescendants" : false,
+						"includeMapped" : false
+					}
+				]
+			}
+		}
+	],
+	"QualifiedLimit" : {
+		"Type" : "First"
+	},
+	"ExpressionLimit" : {
+		"Type" : "First"
+	},
+	"InclusionRules" : [
+		{
+			"name" : "Age above 18 years",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [],
+				"DemographicCriteriaList" : [
+					{
+						"Age" : {
+							"Value" : 18,
+							"Op" : "gte"
+						}
+					}
+				],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "Inpatient visit on day of surgery without ER visit immediately on or prior",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"VisitOccurrence" : {
+								"CorrelatedCriteria" : {
+									"Type" : "ALL",
+									"CriteriaList" : [
+										{
+											"Criteria" : {
+												"VisitOccurrence" : {
+													"CodesetId" : 43,
+													"VisitTypeExclude" : false
+												}
+											},
+											"StartWindow" : {
+												"Start" : {
+													"Days" : 2,
+													"Coeff" : -1
+												},
+												"End" : {
+													"Days" : 0,
+													"Coeff" : 1
+												},
+												"UseIndexEnd" : false,
+												"UseEventEnd" : false
+											},
+											"RestrictVisit" : false,
+											"IgnoreObservationPeriod" : false,
+											"Occurrence" : {
+												"Type" : 0,
+												"Count" : 0,
+												"IsDistinct" : false
+											}
+										}
+									],
+									"DemographicCriteriaList" : [],
+									"Groups" : []
+								},
+								"CodesetId" : 0,
+								"VisitTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 0,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"EndWindow" : {
+							"Start" : {
+								"Days" : 1,
+								"Coeff" : 1
+							},
+							"End" : {
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : true
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "Atrial fibrillation (any) within 14d of surgery",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 81,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Days" : 0,
+								"Coeff" : 1
+							},
+							"End" : {
+								"Days" : 14,
+								"Coeff" : 1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 2,
+							"Count" : 1,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		},
+		{
+			"name" : "No prior atrial fibrillation ",
+			"expression" : {
+				"Type" : "ALL",
+				"CriteriaList" : [
+					{
+						"Criteria" : {
+							"ConditionOccurrence" : {
+								"CodesetId" : 81,
+								"ConditionTypeExclude" : false
+							}
+						},
+						"StartWindow" : {
+							"Start" : {
+								"Coeff" : -1
+							},
+							"End" : {
+								"Days" : 1,
+								"Coeff" : -1
+							},
+							"UseIndexEnd" : false,
+							"UseEventEnd" : false
+						},
+						"RestrictVisit" : false,
+						"IgnoreObservationPeriod" : false,
+						"Occurrence" : {
+							"Type" : 0,
+							"Count" : 0,
+							"IsDistinct" : false
+						}
+					}
+				],
+				"DemographicCriteriaList" : [],
+				"Groups" : []
+			}
+		}
+	],
+	"CensoringCriteria" : [],
+	"CollapseSettings" : {
+		"CollapseType" : "ERA",
+		"EraPad" : 0
+	},
+	"CensorWindow" : {}
+}
\ No newline at end of file
diff --git a/tests/cohorts/reference_outputs/10.md b/tests/cohorts/reference_outputs/10.md
new file mode 100644
index 00000000..c096af26
--- /dev/null
+++ b/tests/cohorts/reference_outputs/10.md
@@ -0,0 +1,17 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Nausea or Vomiting'.
+
+2. observations of 'Nausea or Vomiting'.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's end date plus 14 days.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/10.sql b/tests/cohorts/reference_outputs/10.sql
new file mode 100644
index 00000000..792d5414
--- /dev/null
+++ b/tests/cohorts/reference_outputs/10.sql
@@ -0,0 +1,307 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 3 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (31967,4158495,4101344,4012500,201218))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (31967,4158495,4101344,4012500,201218))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Observation Criteria
+select C.person_id, C.observation_id as event_id, C.start_date, C.END_DATE,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select o.person_id,o.observation_id,o.observation_concept_id,o.visit_occurrence_id,o.value_as_number,o.observation_date as start_date, DATEADD(day,1,o.observation_date) as end_date 
+  FROM @cdm_database_schema.OBSERVATION o
+JOIN #Codesets cs on (o.observation_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+
+-- End Observation Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,14,end_date) > op_end_date then op_end_date else DATEADD(day,14,end_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/100.md b/tests/cohorts/reference_outputs/100.md
new file mode 100644
index 00000000..5a7f84c8
--- /dev/null
+++ b/tests/cohorts/reference_outputs/100.md
@@ -0,0 +1,15 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Alzheimer's disease'.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's end date plus 0 days.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 1 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/100.sql b/tests/cohorts/reference_outputs/100.sql
new file mode 100644
index 00000000..4a5a01db
--- /dev/null
+++ b/tests/cohorts/reference_outputs/100.sql
@@ -0,0 +1,293 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (378419))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (378419))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,0,end_date) > op_end_date then op_end_date else DATEADD(day,0,end_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 1, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,1,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1000.md b/tests/cohorts/reference_outputs/1000.md
new file mode 100644
index 00000000..dbe582c8
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1000.md
@@ -0,0 +1,15 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrences of '[LEGEND HTN] Nausea'.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 30 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1000.sql b/tests/cohorts/reference_outputs/1000.sql
new file mode 100644
index 00000000..b8556843
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1000.sql
@@ -0,0 +1,304 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 5 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (31967))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (31967))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (30284))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (30284))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 30, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,30,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1001.md b/tests/cohorts/reference_outputs/1001.md
new file mode 100644
index 00000000..3d5104f0
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1001.md
@@ -0,0 +1,15 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Edema'.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 180 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1001.sql b/tests/cohorts/reference_outputs/1001.sql
new file mode 100644
index 00000000..4201c3e8
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1001.sql
@@ -0,0 +1,293 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 11 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (433595,133299))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (433595,133299))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 11)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 180, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,180,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1002.md b/tests/cohorts/reference_outputs/1002.md
new file mode 100644
index 00000000..9280919c
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1002.md
@@ -0,0 +1,15 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Photosensitivity'.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 90 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1002.sql b/tests/cohorts/reference_outputs/1002.sql
new file mode 100644
index 00000000..06e3999e
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1002.sql
@@ -0,0 +1,299 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4234104))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4234104))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4300445,4263325,4031007,442179,37312586,138825,4304266,4064057,141374,4031006,439096,4070156,4290728,4241471,36674412,4293437,4066470,4119822,4033832,37116482,37116483,4290729,4239682,4242265,36715275,4230340,4300796,141650,4301164,4299673,4234867,36715367,4308081,42709861,4112749,4300444,4031005,4116197,4299672,4080922,4293560,4293562,4300794,4300795,4293563,4293561,37110331,4006157,37110590,4292224,4293593,4290732,42537710,4318376,42537712,42537711,4290730,4298594,4298593,4270722,42539382,42709860,4080921,4176424,4223992,4204365,4195589,4278846,4297664,4296207,4066838,4031625,4185267,4031162,4217502,4296189,4033831,4031004,4296206))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 90, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,90,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1003.md b/tests/cohorts/reference_outputs/1003.md
new file mode 100644
index 00000000..53979193
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1003.md
@@ -0,0 +1,17 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event enter the cohort when observing any of the following:
+
+1. condition occurrence of 'Primary malignant neoplasm of kidney' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1003.sql b/tests/cohorts/reference_outputs/1003.sql
new file mode 100644
index 00000000..b1206032
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1003.sql
@@ -0,0 +1,284 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (198985,4215373))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (198985))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1004.md b/tests/cohorts/reference_outputs/1004.md
new file mode 100644
index 00000000..bc91d20f
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1004.md
@@ -0,0 +1,17 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrence of 'Neoplasm of thyroid gland' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1004.sql b/tests/cohorts/reference_outputs/1004.sql
new file mode 100644
index 00000000..50c3aca3
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1004.sql
@@ -0,0 +1,284 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4131909))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4131909))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1005.md b/tests/cohorts/reference_outputs/1005.md
new file mode 100644
index 00000000..49a861cf
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1005.md
@@ -0,0 +1,15 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrences of '[LEGEND HTN] Venous thromboembolism (pulmonary embolism and deep vein thrombosis)'.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 180 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1005.sql b/tests/cohorts/reference_outputs/1005.sql
new file mode 100644
index 00000000..817f70ad
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1005.sql
@@ -0,0 +1,304 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 10 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (440417,254662,444247,44834756))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (440417,254662,444247))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (435616,435887,196715,4062269,442055,433832,435026,440477,318137,199837,438820,4235812,195294,4187790))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (435616,435887,196715,4062269,442055,433832,435026,440477,318137,199837,438820,4235812,195294,4187790))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 10)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 180, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,180,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1006.md b/tests/cohorts/reference_outputs/1006.md
new file mode 100644
index 00000000..4a86fdf9
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1006.md
@@ -0,0 +1,15 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrences of '[LEGEND HTN] Vomiting'.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 30 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1006.sql b/tests/cohorts/reference_outputs/1006.sql
new file mode 100644
index 00000000..f0c4e9a3
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1006.sql
@@ -0,0 +1,304 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 6 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (441408))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (441408))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40480290,4216862,440785))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40480290,4216862,440785))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 30, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,30,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1007.md b/tests/cohorts/reference_outputs/1007.md
new file mode 100644
index 00000000..0d54fd8a
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1007.md
@@ -0,0 +1,17 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Epilepsy Seizures excl Alcohol withdrawal-induced convulsion'.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1007.sql b/tests/cohorts/reference_outputs/1007.sql
new file mode 100644
index 00000000..22f04c97
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1007.sql
@@ -0,0 +1,295 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4197485,4029498))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4197485,4029498))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (435875,380533,443700,4202330,37109948,4176652,4044227))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (435875,380533,443700,4202330,37109948))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1009.md b/tests/cohorts/reference_outputs/1009.md
new file mode 100644
index 00000000..b43c7b8f
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1009.md
@@ -0,0 +1,41 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. drug eras of 'Atypical Antipsychotics'; having at least 1 drug era of 'First-line anti-Depressants therapy', starting anytime on or before 'Atypical Antipsychotics' start date and ending  365 days before 'Atypical Antipsychotics' start date.
+
+2. drug eras of 'First-line anti-Depressants therapy'; with all of the following criteria:
+
+   1. having at least 3 distinct standard concepts from drug eras of 'First-line anti-Depressants therapy', starting anytime on or before 'First-line anti-Depressants therapy' start date and ending  365 days before 'First-line anti-Depressants therapy' start date.
+   2. having at least 2 distinct standard concepts from drug eras of 'First-line anti-Depressants therapy', starting anytime prior to 'First-line anti-Depressants therapy' start date and ending  365 days before 'First-line anti-Depressants therapy' start date.
+
+
+3. drug eras of 'esketamine'; having at least 2 distinct standard concepts from dose eras of 'First-line anti-Depressants therapy', starting anytime prior to 'esketamine' start date and ending  365 days before 'esketamine' start date.
+
+Restrict entry events to having at least 1 condition occurrence of 'Depressive disorder prevalent', starting between 365 days before and 0 days before cohort entry start date.  
+
+Limit these restricted entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. No prior mania
+
+Entry events having no condition occurrences of 'CB_376 Mania', starting anytime on or before cohort entry start date.
+
+#### 2. No prior dementia
+
+Entry events having no condition occurrences of 'Dementia (validated: Taylor, 2009)', starting anytime on or before cohort entry start date.
+
+#### 3. No prior psychosis
+
+Entry events having no condition occurrences of 'CB_376 Psychosis', starting anytime on or before cohort entry start date.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1009.sql b/tests/cohorts/reference_outputs/1009.sql
new file mode 100644
index 00000000..35270c19
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1009.sql
@@ -0,0 +1,1519 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 8 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (436665,4333677,437249))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (436665,4333677,437249))
+
+) I
+) C UNION ALL 
+SELECT 10 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (432590,436073,435783))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (432590,436073,435783))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (434900,375229,4333667,441540,380986))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (434900))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 11 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (757688,800878,785788,703244,766814,735979,712615))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (757688,800878,785788,703244,766814,735979,712615))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (755695))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (755695))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 15 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (372608,375239,4182210,4043378,436092,373179,435088))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4182210))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (378726,376095,377788,372610))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (376095,377788,372610))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 16 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (36878783,19032424,710062,713109,750982,19039883,797617,798834,716968,717607,19023846,19037989,738156,715259,715939,755695,751412,778268,19122204,781705,19091830,794147,19110751,19007737,19080226,725131,714684,19127550,721724,19129635,36427294,722031,733896,754270,19098514,19084693,766209,739138,1398039,19041910,703470,703547,705755,19006186,743670,40234834,19008261,44507700))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (36878783,19032424,710062,713109,750982,19039883,797617,798834,716968,717607,19023846,19037989,738156,715259,715939,755695,751412,778268,19122204,781705,19091830,794147,19110751,19007737,19080226,725131,714684,19127550,721724,19129635,36427294,722031,733896,754270,19098514,19084693,766209,739138,1398039,19041910,703470,703547,705755,19006186,743670,40234834,19008261,44507700))
+
+) I
+) C UNION ALL 
+SELECT 18 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (440383))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (440383))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (438727,436665,40481798,435520,4224940))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (438727,436665,40481798,435520,4224940))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 19 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (1366610))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (1366610))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 11)
+) C
+
+
+-- End Drug Era Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 11)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 11)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,-365,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+UNION ALL
+select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id , A.domain_concept_id
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date, C.drug_concept_id as domain_concept_id
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,-365,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(DISTINCT cc.domain_concept_id) >= 3
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id , A.domain_concept_id
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date, C.drug_concept_id as domain_concept_id
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) AND A.END_DATE >= DATEADD(day,-365,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(DISTINCT cc.domain_concept_id) >= 2
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 2
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+UNION ALL
+select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 19)
+) C
+
+
+-- End Drug Era Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 19)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id , A.domain_concept_id
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 19)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Dose Era Criteria
+select C.person_id, C.dose_era_id as event_id, C.start_date, C.end_date,
+       CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date, C.drug_concept_id as domain_concept_id
+from 
+(
+  select de.person_id,de.dose_era_id,de.drug_concept_id, de.unit_concept_id, de.dose_value,de.dose_era_start_date as start_date, de.dose_era_end_date as end_date 
+  FROM @cdm_database_schema.DOSE_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Dose Era Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) AND A.END_DATE >= DATEADD(day,-365,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(DISTINCT cc.domain_concept_id) >= 2
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 11)
+) C
+
+
+-- End Drug Era Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 11)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 11)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,-365,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+UNION ALL
+select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id , A.domain_concept_id
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date, C.drug_concept_id as domain_concept_id
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,-365,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(DISTINCT cc.domain_concept_id) >= 3
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id , A.domain_concept_id
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date, C.drug_concept_id as domain_concept_id
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) AND A.END_DATE >= DATEADD(day,-365,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(DISTINCT cc.domain_concept_id) >= 2
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 2
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+UNION ALL
+select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 19)
+) C
+
+
+-- End Drug Era Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 19)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id , A.domain_concept_id
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 19)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Dose Era Criteria
+select C.person_id, C.dose_era_id as event_id, C.start_date, C.end_date,
+       CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date, C.drug_concept_id as domain_concept_id
+from 
+(
+  select de.person_id,de.dose_era_id,de.drug_concept_id, de.unit_concept_id, de.dose_value,de.dose_era_start_date as start_date, de.dose_era_end_date as end_date 
+  FROM @cdm_database_schema.DOSE_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Dose Era Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) AND A.END_DATE >= DATEADD(day,-365,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(DISTINCT cc.domain_concept_id) >= 2
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 11)
+) C
+
+
+-- End Drug Era Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 11)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 11)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,-365,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+UNION ALL
+select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id , A.domain_concept_id
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date, C.drug_concept_id as domain_concept_id
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,-365,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(DISTINCT cc.domain_concept_id) >= 3
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id , A.domain_concept_id
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date, C.drug_concept_id as domain_concept_id
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Drug Era Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) AND A.END_DATE >= DATEADD(day,-365,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(DISTINCT cc.domain_concept_id) >= 2
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 2
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+UNION ALL
+select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 19)
+) C
+
+
+-- End Drug Era Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 19)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id , A.domain_concept_id
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Era Criteria
+select C.person_id, C.drug_era_id as event_id, C.start_date, C.end_date,
+    CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_era_id,de.drug_concept_id,de.drug_exposure_count,de.gap_days,de.drug_era_start_date as start_date, de.drug_era_end_date as end_date 
+  FROM @cdm_database_schema.DRUG_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 19)
+) C
+
+
+-- End Drug Era Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Dose Era Criteria
+select C.person_id, C.dose_era_id as event_id, C.start_date, C.end_date,
+       CAST(NULL as bigint) as visit_occurrence_id,C.start_date as sort_date, C.drug_concept_id as domain_concept_id
+from 
+(
+  select de.person_id,de.dose_era_id,de.drug_concept_id, de.unit_concept_id, de.dose_value,de.dose_era_start_date as start_date, de.dose_era_end_date as end_date 
+  FROM @cdm_database_schema.DOSE_ERA de
+where de.drug_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 16)
+) C
+
+
+-- End Dose Era Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) AND A.END_DATE >= DATEADD(day,-365,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(DISTINCT cc.domain_concept_id) >= 2
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 18)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) QE
+WHERE QE.ordinal = 1
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 8)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 1 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_1
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 15)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 2 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_2
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 10)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_1
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_2) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+TRUNCATE TABLE #Inclusion_1;
+DROP TABLE #Inclusion_1;
+
+TRUNCATE TABLE #Inclusion_2;
+DROP TABLE #Inclusion_2;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{3 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),3)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 3 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence UNION ALL SELECT CAST(1 as int) as rule_sequence UNION ALL SELECT CAST(2 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1010.md b/tests/cohorts/reference_outputs/1010.md
new file mode 100644
index 00000000..70bda95d
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1010.md
@@ -0,0 +1,21 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrence of 'Graft versus host disease included non standard' for the first time in the person's history.
+
+2. condition occurrence of any condition (including 'Graft versus host disease included non standard' source concepts) for the first time in the person's history.
+
+3. condition occurrence of any condition (including 'Unspecified graft vs host dx - non standard' source concepts) for the first time in the person's history; having at least 1 procedure occurrence of 'Hematopoietic Stem Cell Transplantation (HSCT) ', starting anytime up to 180 days before any condition start date.
+
+Limit qualifying entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1010.sql b/tests/cohorts/reference_outputs/1010.sql
new file mode 100644
index 00000000..24ff58c7
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1010.sql
@@ -0,0 +1,418 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4120445,2789432,2789464,2788927,2788960,2789179,2789211,2788671,2788704,2789460,2785921,2788955,2788988,2789207,2789428,2788699,2788732,2789462,2785923,2788957,2789177,2789209,2789430,2788701,2788734,2788926,2788959,2788483,2788703,2789433,2789465,2788928,2788961,2789180,2789212,2788672,2788705,2789461,2785922,2788956,2789176,2789208,2789429,2788700,2788733,2789463,2785924,2788958,2789178,2789210,2789431,2788702,2788925,42537745,4121274,4125659,45566479,45537646,45585326))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4120445,42537745,4121274,4125659))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (2108458,43527933,2617352,2721123,2108456,2108457,46272967))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (2108458,43527933,2617352,2721123,2108456,2108457,46272967))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (434314,45595782))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (434314))
+
+) I
+) C UNION ALL 
+SELECT 3 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (44828814,45537943))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (44828814,45537943))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cns on (co.condition_source_concept_id = cns.concept_id and cns.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+UNION ALL
+select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cns on (co.condition_source_concept_id = cns.concept_id and cns.codeset_id = 3)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cns on (co.condition_source_concept_id = cns.concept_id and cns.codeset_id = 3)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cns on (co.condition_source_concept_id = cns.concept_id and cns.codeset_id = 3)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cs on (po.procedure_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,-180,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1011.md b/tests/cohorts/reference_outputs/1011.md
new file mode 100644
index 00000000..aff10620
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1011.md
@@ -0,0 +1,17 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrence of 'Marginal zone lymphoma' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1011.sql b/tests/cohorts/reference_outputs/1011.sql
new file mode 100644
index 00000000..bf2e90a0
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1011.sql
@@ -0,0 +1,284 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40490918,35622279))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40490918,35622279))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1012.md b/tests/cohorts/reference_outputs/1012.md
new file mode 100644
index 00000000..2f31e62a
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1012.md
@@ -0,0 +1,17 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrence of 'Waldenstrom macroglobulinemia' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1012.sql b/tests/cohorts/reference_outputs/1012.sql
new file mode 100644
index 00000000..13a44961
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1012.sql
@@ -0,0 +1,284 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (435502,4141255,4029658,35622279))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (435502,4029658,35622279))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1013.md b/tests/cohorts/reference_outputs/1013.md
new file mode 100644
index 00000000..48c157cd
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1013.md
@@ -0,0 +1,17 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrence of 'Ankylosing Spondylitis' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1013.sql b/tests/cohorts/reference_outputs/1013.sql
new file mode 100644
index 00000000..9e6caf77
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1013.sql
@@ -0,0 +1,295 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (437082))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (437082))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4083681,4079735,37017494))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4083681,4079735))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1016.md b/tests/cohorts/reference_outputs/1016.md
new file mode 100644
index 00000000..af76dbea
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1016.md
@@ -0,0 +1,17 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrence of 'Polyarticular juvenile idiopathic arthritis' for the first time in the person's history, who are &lt;= 16 years old; starting on or after January 1, 2016.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1016.sql b/tests/cohorts/reference_outputs/1016.sql
new file mode 100644
index 00000000..f701e95e
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1016.sql
@@ -0,0 +1,286 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4195770,4132809,42535177,4132810,72714,4218311))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4195770,4132809,42535177,4132810,72714,4218311))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+JOIN @cdm_database_schema.PERSON P on C.person_id = P.person_id
+WHERE C.start_date >= DATEFROMPARTS(2016, 1, 1)
+AND YEAR(C.start_date) - P.year_of_birth <= 16
+AND C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1017.md b/tests/cohorts/reference_outputs/1017.md
new file mode 100644
index 00000000..0d5eb5ec
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1017.md
@@ -0,0 +1,17 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrence of 'Neonatal Thrombocytopenia' for the first time in the person's history, who are &lt; 1 years old.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1017.sql b/tests/cohorts/reference_outputs/1017.sql
new file mode 100644
index 00000000..10d395cb
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1017.sql
@@ -0,0 +1,285 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (435076,4133984,4221109,4195579,4172999,4234257))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (435076,4133984))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+JOIN @cdm_database_schema.PERSON P on C.person_id = P.person_id
+WHERE YEAR(C.start_date) - P.year_of_birth < 1
+AND C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1018.md b/tests/cohorts/reference_outputs/1018.md
new file mode 100644
index 00000000..fa47e7ab
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1018.md
@@ -0,0 +1,17 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrence of 'Warm autoimmune hemolytic anemia' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1018.sql b/tests/cohorts/reference_outputs/1018.sql
new file mode 100644
index 00000000..6efc6ead
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1018.sql
@@ -0,0 +1,295 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4219853))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4219853))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4160887,4146936,4098017,4131917,4098754,436956))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4160887,4146936,4098017,4131917,4098754,436956))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1019.md b/tests/cohorts/reference_outputs/1019.md
new file mode 100644
index 00000000..965d49ca
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1019.md
@@ -0,0 +1,17 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrences of 'HDFN - Mother and child codes'; having at least 1 condition era of 'Pregnancy Codes', starting anytime on or before 'HDFN - Mother and child codes' start date and ending  14 days before 'HDFN - Mother and child codes' start date; containing = 0 occurrences.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 270 days.
+The person exits the cohort when encountering any of the following events:
+1. condition occurrences of 'Pregnancy End points'.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 90 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1019.sql b/tests/cohorts/reference_outputs/1019.sql
new file mode 100644
index 00000000..e6ec4dc5
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1019.sql
@@ -0,0 +1,406 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (433603,199891,4028774))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (433603,199891,4028774))
+
+) I
+) C UNION ALL 
+SELECT 1 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (443213,437611,4067106,433260))
+
+) I
+) C UNION ALL 
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (443213,437611,4067106,433260))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (443213,437611,4067106,433260))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Era Criteria
+select C.person_id, C.condition_era_id as event_id, C.start_date, C.end_date,
+  CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select ce.person_id,ce.condition_era_id,ce.condition_concept_id,ce.condition_occurrence_count,ce.condition_era_start_date as start_date, ce.condition_era_end_date as end_date 
+  FROM @cdm_database_schema.CONDITION_ERA ce
+where ce.condition_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 1)
+) C
+
+WHERE C.condition_occurrence_count = 0
+-- End Condition Era Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,-14,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,270,start_date) > op_end_date then op_end_date else DATEADD(day,270,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+UNION ALL
+-- Censor Events
+select i.event_id, i.person_id, MIN(c.start_date) as end_date
+FROM #included_events i
+JOIN
+(
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) C on C.person_id = I.person_id and C.start_date >= I.start_date and C.START_DATE <= I.op_end_date
+GROUP BY i.event_id, i.person_id
+
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 90, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,90,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1020.md b/tests/cohorts/reference_outputs/1020.md
new file mode 100644
index 00000000..c52a74a9
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1020.md
@@ -0,0 +1,26 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrence of 'Major depressive disorder' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+Restrict entry events to with all of the following criteria:
+
+   1. having no condition occurrences of 'Bipolar disorder', starting anytime on or before cohort entry start date.
+   2. having no condition occurrences of 'Schizoaffective disorder', starting anytime on or before cohort entry start date.
+   3. having no condition occurrences of 'Schizophrenia not including Paraphenia', starting anytime on or before cohort entry start date.
+   4. having no condition occurrences of 'Dementia', starting anytime on or before cohort entry start date.
+   5. having no condition occurrences of 'Psychotic disorder', starting anytime on or before cohort entry start date.
+  
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1020.sql b/tests/cohorts/reference_outputs/1020.sql
new file mode 100644
index 00000000..6342d055
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1020.sql
@@ -0,0 +1,825 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 6 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (440383,4175329,40546087,4191716,4212469))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (440383,4175329,40546087,4191716,4212469))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (436665,442306,36684319,438727,40481798,443864,4239471,377527,435520,4224940,379784,433440))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (436665,442306,36684319,438727,40481798,443864,4239471,377527,435520,4224940,379784,433440))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 7 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (436665))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (436665))
+
+) I
+) C UNION ALL 
+SELECT 8 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4286201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4286201))
+
+) I
+) C UNION ALL 
+SELECT 9 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (433734,435235,433742,435783,440077))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (433734,435235,433742,435783,440077))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (434318))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (434318))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 10 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4182210,372608,4043378,373179,4104700,435088,4168666,380701,374009,4009705))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4182210,4043378,373179))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4152048,376095,37116464,36717598,377788,42535731,37311999,372610))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4152048,376095,37116464,36717598,377788,42535731,37311999,372610))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 11 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (436073))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (436073))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 7)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, p.person_id, p.event_id
+from (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 8)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 2 as index_id, p.person_id, p.event_id
+from (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 9)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 3 as index_id, p.person_id, p.event_id
+from (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 10)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 4 as index_id, p.person_id, p.event_id
+from (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 11)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 5
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1021.md b/tests/cohorts/reference_outputs/1021.md
new file mode 100644
index 00000000..17eefefd
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1021.md
@@ -0,0 +1,30 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Myasthenia gravis (exclude congenital, juvenile, neonatal or genetic) '; with any of the following criteria:
+
+   1. having at least 1 condition occurrence of 'Myasthenia gravis (exclude congenital, juvenile, neonatal or genetic) ', starting between 1 days after and 365 days after 'Myasthenia gravis (exclude congenital, juvenile, neonatal or genetic) ' start date.
+   2. having at least 1 visit occurrence of 'Inpatient or Inpatient/ER visit', starting anytime on or before 'Myasthenia gravis (exclude congenital, juvenile, neonatal or genetic) ' start date and ending between 0 days after and all days after 'Myasthenia gravis (exclude congenital, juvenile, neonatal or genetic) ' start date.
+   3. having at least 1 drug exposure of 'Pyridostigmine', starting between 0 days before and 60 days after 'Myasthenia gravis (exclude congenital, juvenile, neonatal or genetic) ' start date.
+
+
+2. drug exposures of 'Pyridostigmine'; having at least 1 condition occurrence of 'Myasthenia gravis (exclude congenital, juvenile, neonatal or genetic) ', starting between 0 days before and 60 days after 'Pyridostigmine' start date.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. Age >= 18 years 
+
+Entry events with the following event criteria: who are &gt;= 18 years old.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1021.sql b/tests/cohorts/reference_outputs/1021.sql
new file mode 100644
index 00000000..13cfcf2b
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1021.sql
@@ -0,0 +1,599 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (76685,4045732))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (76685,4045732))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4046355,4204694,4046356,4101899,81400,4046357))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4046355,4204694,4046356,4101899,81400,4046357))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 1 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (759740))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (759740))
+
+) I
+) C UNION ALL 
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9201))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,1,P.START_DATE) AND A.START_DATE <= DATEADD(day,365,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,0,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 2 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date 
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Drug Exposure Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= DATEADD(day,60,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) > 0
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+UNION ALL
+select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date 
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Drug Exposure Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date 
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Drug Exposure Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date 
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Drug Exposure Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= DATEADD(day,60,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Demographic Criteria
+SELECT 0 as index_id, e.person_id, e.event_id
+FROM #qualified_events E
+JOIN @cdm_database_schema.PERSON P ON P.PERSON_ID = E.PERSON_ID
+WHERE YEAR(E.start_date) - P.year_of_birth >= 18
+GROUP BY e.person_id, e.event_id
+-- End Demographic Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1022.md b/tests/cohorts/reference_outputs/1022.md
new file mode 100644
index 00000000..f29ce94e
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1022.md
@@ -0,0 +1,19 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrence of 'Major Depressive Disorder' for the first time in the person's history; having at least 1 condition occurrence of 'Sleep Disorders', starting between 365 days before and 0 days after 'Major Depressive Disorder' start date.
+
+2. condition occurrence of 'Sleep Disorders' for the first time in the person's history; having at least 1 condition occurrence of 'Major Depressive Disorder', starting between 365 days before and 0 days after 'Sleep Disorders' start date.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1022.sql b/tests/cohorts/reference_outputs/1022.sql
new file mode 100644
index 00000000..c0502695
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1022.sql
@@ -0,0 +1,488 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (44798390,4287868,4220636,4115402,4204989,40481897,4312903,4104980,4113205,44810442,4045772,4099949,435524,4132137,4175644))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (44798390,4287868,4220636,4115402,4204989,40481897,4312903,4104980,4113205,44810442,4045772,4099949,435524,4132137,4175644))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (46269699,375794,4044240,4121694,35623409,36716323,43021812,43021860,43020464,43020467,37110489,4009650,4210451,437854,4086499,37018652,37110294,37110295,43531585,439794,37110296,37016175,4331287,319793,43530733,42535241,43530616,44784627,44784625,435792,444300,36714658,438134,37016174,434891,436669,4143701,4047912,439150,37110490,4180282,43531627,40483183,40482713,40481299,37016173,434172,37110297,4043564,436100,42536721,43531721,4137847,42872389,42872388,442588,4230779,40481372,40482247,43531594,440087,37016172,37110493,434904,43022069,4262584,4262580,443528,40482198,762958,762960,762959,4181303,4239812,37109055,313459,37119151,40483220,4139210,435238,43021811,37110298,443393,437260))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (46269699,375794,4044240,4121694,35623409,36716323,43021812,43021860,43020464,43020467,37110489,4009650,4210451,437854,4086499,37018652,37110294,37110295,43531585,439794,37110296,37016175,4331287,319793,43530733,42535241,43530616,44784627,44784625,435792,444300,36714658,438134,37016174,434891,436669,4143701,4047912,439150,37110490,4180282,43531627,40483183,40482713,40481299,37016173,434172,37110297,4043564,436100,42536721,43531721,4137847,42872389,42872388,442588,4230779,40481372,40482247,43531594,440087,37016172,37110493,434904,43022069,4262584,4262580,443528,40482198,762958,762960,762959,4181303,4239812,37109055,313459,37119151,40483220,4139210,435238,43021811,37110298,443393,437260))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 4 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9203,9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9203,9201))
+
+) I
+) C UNION ALL 
+SELECT 5 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (440383,4175329,40546087,4191716,4212469))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (440383,4175329,40546087,4191716,4212469))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (436665,442306,36684319,438727,40481798,443864,4239471,377527,435520,4224940,379784,433440))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (436665,442306,36684319,438727,40481798,443864,4239471,377527,435520,4224940,379784,433440))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+UNION ALL
+select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1023.md b/tests/cohorts/reference_outputs/1023.md
new file mode 100644
index 00000000..07d2583a
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1023.md
@@ -0,0 +1,25 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrence of 'Major Depressive Disorder' for the first time in the person's history; with any of the following criteria:
+
+   1. having at least 1 condition occurrence of 'Suicide and suicidal ideation, prevalent (informed by PHOEBE)', starting between 365 days before and 0 days after 'Major Depressive Disorder' start date.
+   2. having at least 1 observation of 'Suicide and suicidal ideation, prevalent (informed by PHOEBE)', starting between 365 days before and 0 days after 'Major Depressive Disorder' start date.
+
+
+2. condition occurrence of 'Suicide and suicidal ideation, prevalent (informed by PHOEBE)' for the first time in the person's history; having at least 1 condition occurrence of 'Major Depressive Disorder', starting between 365 days before and 0 days after 'Suicide and suicidal ideation, prevalent (informed by PHOEBE)' start date.
+
+3. observation of 'Suicide and suicidal ideation, prevalent (informed by PHOEBE)' for the first time in the person's history; having at least 1 condition occurrence of 'Major Depressive Disorder', starting between 365 days before and 0 days after 'Suicide and suicidal ideation, prevalent (informed by PHOEBE)' start date.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1023.sql b/tests/cohorts/reference_outputs/1023.sql
new file mode 100644
index 00000000..c71ece28
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1023.sql
@@ -0,0 +1,604 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (439235,4181216,444362,4273391,440925,4303690,4009713,4219484,435446,4058281,4021339,4216115,4092411,4152408))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (439235,4181216,444362,4273391,440925,4303690,4009713,4219484,435446,4058281,4021339,4216115,4092411,4152408))
+
+) I
+) C UNION ALL 
+SELECT 4 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9203,9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9203,9201))
+
+) I
+) C UNION ALL 
+SELECT 5 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (440383,4175329,40546087,4191716,4212469))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (440383,4175329,40546087,4191716,4212469))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (436665,442306,36684319,438727,40481798,443864,4239471,377527,435520,4224940,379784,433440))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (436665,442306,36684319,438727,40481798,443864,4239471,377527,435520,4224940,379784,433440))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Observation Criteria
+select C.person_id, C.observation_id as event_id, C.start_date, C.END_DATE,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select o.person_id,o.observation_id,o.observation_concept_id,o.visit_occurrence_id,o.value_as_number,o.observation_date as start_date, DATEADD(day,1,o.observation_date) as end_date 
+  FROM @cdm_database_schema.OBSERVATION o
+JOIN #Codesets cs on (o.observation_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Observation Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) > 0
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+UNION ALL
+select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+UNION ALL
+select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Observation Criteria
+select C.person_id, C.observation_id as event_id, C.start_date, C.END_DATE,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select o.person_id,o.observation_id,o.observation_concept_id,o.visit_occurrence_id,o.value_as_number,o.observation_date as start_date, DATEADD(day,1,o.observation_date) as end_date , row_number() over (PARTITION BY o.person_id ORDER BY o.observation_date, o.observation_id) as ordinal
+  FROM @cdm_database_schema.OBSERVATION o
+JOIN #Codesets cs on (o.observation_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Observation Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Observation Criteria
+select C.person_id, C.observation_id as event_id, C.start_date, C.END_DATE,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select o.person_id,o.observation_id,o.observation_concept_id,o.visit_occurrence_id,o.value_as_number,o.observation_date as start_date, DATEADD(day,1,o.observation_date) as end_date , row_number() over (PARTITION BY o.person_id ORDER BY o.observation_date, o.observation_id) as ordinal
+  FROM @cdm_database_schema.OBSERVATION o
+JOIN #Codesets cs on (o.observation_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Observation Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Observation Criteria
+select C.person_id, C.observation_id as event_id, C.start_date, C.END_DATE,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select o.person_id,o.observation_id,o.observation_concept_id,o.visit_occurrence_id,o.value_as_number,o.observation_date as start_date, DATEADD(day,1,o.observation_date) as end_date , row_number() over (PARTITION BY o.person_id ORDER BY o.observation_date, o.observation_id) as ordinal
+  FROM @cdm_database_schema.OBSERVATION o
+JOIN #Codesets cs on (o.observation_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Observation Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1024.md b/tests/cohorts/reference_outputs/1024.md
new file mode 100644
index 00000000..d6d86c7d
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1024.md
@@ -0,0 +1,19 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrence of 'Major Depressive Disorder' for the first time in the person's history; having at least 1 condition occurrence of 'Anhedonia', starting between 365 days before and 0 days after 'Major Depressive Disorder' start date.
+
+2. condition occurrence of 'Anhedonia' for the first time in the person's history; having at least 1 condition occurrence of 'Major Depressive Disorder', starting between 365 days before and 0 days after 'Anhedonia' start date.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1024.sql b/tests/cohorts/reference_outputs/1024.sql
new file mode 100644
index 00000000..b17d26c4
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1024.sql
@@ -0,0 +1,472 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4102935))
+
+) I
+) C UNION ALL 
+SELECT 4 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9203,9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9203,9201))
+
+) I
+) C UNION ALL 
+SELECT 5 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (440383,4175329,40546087,4191716,4212469))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (440383,4175329,40546087,4191716,4212469))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (436665,442306,36684319,438727,40481798,443864,4239471,377527,435520,4224940,379784,433440))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (436665,442306,36684319,438727,40481798,443864,4239471,377527,435520,4224940,379784,433440))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+UNION ALL
+select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1025.md b/tests/cohorts/reference_outputs/1025.md
new file mode 100644
index 00000000..681094b3
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1025.md
@@ -0,0 +1,25 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrences of 'ADHD condition or procedure'.
+
+2. procedure occurrences of 'ADHD condition or procedure'.
+
+3. drug exposures of 'ADHD medications'; with any of the following criteria:
+
+   1. having at least 1 condition occurrence of 'ADHD condition or procedure', starting between 0 days before and 365 days after 'ADHD medications' start date.
+   2. having at least 1 procedure occurrence of 'ADHD condition or procedure', starting between 0 days before and 365 days after 'ADHD medications' start date.
+
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1025.sql b/tests/cohorts/reference_outputs/1025.sql
new file mode 100644
index 00000000..26785dee
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1025.sql
@@ -0,0 +1,436 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (44813054,40480225,4262921,45765570,4047120,4085043))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (44813054,40480225,4262921,45765570,4047120,4085043))
+
+) I
+) C UNION ALL 
+SELECT 1 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (714785,742185,719311,705944,709567,19090984,1398937,731533,19008261,1344965,704053,710650,37002370,1537411))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (714785,742185,719311,705944,709567,19090984,1398937,731533,19008261,1344965,704053,710650,37002370,1537411))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cs on (po.procedure_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+UNION ALL
+select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date 
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Drug Exposure Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date 
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Drug Exposure Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date 
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Drug Exposure Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= DATEADD(day,365,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date 
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Drug Exposure Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cs on (po.procedure_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= DATEADD(day,365,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) > 0
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1026.md b/tests/cohorts/reference_outputs/1026.md
new file mode 100644
index 00000000..c58b5b9f
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1026.md
@@ -0,0 +1,17 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrence of 'Multiple sclerosis' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1026.sql b/tests/cohorts/reference_outputs/1026.sql
new file mode 100644
index 00000000..cec51d6c
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1026.sql
@@ -0,0 +1,284 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 6 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (374919,44784474,765565,761978))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (374919,44784474,765565,761978))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1027.md b/tests/cohorts/reference_outputs/1027.md
new file mode 100644
index 00000000..00388756
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1027.md
@@ -0,0 +1,17 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrence of 'Chronic Leukocytic Leukemia not including Hairy cell, prolymphocytic leukemia, T cell, reticuloendotheliosis + remission' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1027.sql b/tests/cohorts/reference_outputs/1027.sql
new file mode 100644
index 00000000..c981d22b
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1027.sql
@@ -0,0 +1,295 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 4 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4002356,138379))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4002356,138379))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4038845,4173974,4001331,4079683,44783718))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4038845,4173974,4001331,4079683,44783718))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1028.md b/tests/cohorts/reference_outputs/1028.md
new file mode 100644
index 00000000..6004274a
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1028.md
@@ -0,0 +1,17 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Primary or malignant urothelial bladder cancer'.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1028.sql b/tests/cohorts/reference_outputs/1028.sql
new file mode 100644
index 00000000..8d450b44
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1028.sql
@@ -0,0 +1,295 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (197508,4177230,192855))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (197508,4177230,192855))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4312149,4312802,4313210,4314336,4313925,4314491,4313221,4313222,4314494,37016119,4113112,4111028,37116429,36713671,4080733,4175529,4315813))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4312149,4312802,4313210,4314336,4313925,4314491,4313221,4313222,4314494,37016119,4113112,4111028,37116429,36713671,4080733,4175529,4315813))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1029.md b/tests/cohorts/reference_outputs/1029.md
new file mode 100644
index 00000000..9c4616a6
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1029.md
@@ -0,0 +1,19 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Mantle Cell Lymphoma'.
+
+2. condition occurrences of any condition (including 'Mantle Cell Lymphoma (non-standard)' source concepts).
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1029.sql b/tests/cohorts/reference_outputs/1029.sql
new file mode 100644
index 00000000..336eb9a4
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1029.sql
@@ -0,0 +1,315 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 5 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (45590943))
+
+) I
+) C UNION ALL 
+SELECT 7 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40481901))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40481901))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (440058,435758,440058,135204,194878,40487528,135759))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (440058,435758,440058,135204,194878,40487528,135759))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 7)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cns on (co.condition_source_concept_id = cns.concept_id and cns.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1030.md b/tests/cohorts/reference_outputs/1030.md
new file mode 100644
index 00000000..eafa0876
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1030.md
@@ -0,0 +1,17 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Prostate cancer', who are male &gt;= 18 years old.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1030.sql b/tests/cohorts/reference_outputs/1030.sql
new file mode 100644
index 00000000..52baf5ba
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1030.sql
@@ -0,0 +1,285 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4163261))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4163261))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+JOIN @cdm_database_schema.PERSON P on C.person_id = P.person_id
+WHERE YEAR(C.start_date) - P.year_of_birth >= 18
+AND P.gender_concept_id in (8507)
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1031.md b/tests/cohorts/reference_outputs/1031.md
new file mode 100644
index 00000000..eae255f0
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1031.md
@@ -0,0 +1,19 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrence of 'Coronary artery disease ' for the first time in the person's history.
+
+2. observation of 'Coronary artery disease ' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1031.sql b/tests/cohorts/reference_outputs/1031.sql
new file mode 100644
index 00000000..6dd2c91c
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1031.sql
@@ -0,0 +1,298 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (43020660,4185932,37109911,4177223,4127089,37109912,42537729,438172,316995,4108678,4124687,45766165,4108220,4058723,44783188,4080593,4108680,37109910,318443,44809539,45766212,37312532))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (43020660,4185932,37109911,4177223,4127089,37109912,42537729,438172,316995,4108678,4124687,45766165,4108220,4058723,44783188,4080593,4108680,37109910,318443,44809539,45766212))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date , row_number() over (PARTITION BY co.person_id ORDER BY co.condition_start_date, co.condition_occurrence_id) as ordinal
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Observation Criteria
+select C.person_id, C.observation_id as event_id, C.start_date, C.END_DATE,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select o.person_id,o.observation_id,o.observation_concept_id,o.visit_occurrence_id,o.value_as_number,o.observation_date as start_date, DATEADD(day,1,o.observation_date) as end_date , row_number() over (PARTITION BY o.person_id ORDER BY o.observation_date, o.observation_id) as ordinal
+  FROM @cdm_database_schema.OBSERVATION o
+JOIN #Codesets cs on (o.observation_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Observation Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1032.md b/tests/cohorts/reference_outputs/1032.md
new file mode 100644
index 00000000..6facd87f
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1032.md
@@ -0,0 +1,37 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Type 2 diabetes mellitus (diabetes mellitus excluding T1DM and secondary)'.
+
+2. drug exposures of 'Blood glucose lowering drugs, excluding insulin'.
+
+3. measurements of 'Hemoglobin A1c (HbA1c) measurements', numeric value between 6.5 and 30; unit: "percent".
+
+4. measurements of 'Hemoglobin A1c (HbA1c) measurements', numeric value between 48 and 99; unit: "millimole per mole".
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. no Type 1 diabetes mellitus diagnosis on or prior to T2DM
+
+Entry events having no condition occurrences of 'Type 1 Diabetes Mellitus', starting anytime on or before cohort entry start date; allow events outside observation period.
+
+#### 2. no secondary diabetes diagnosis on or prior to T2DM
+
+Entry events having no condition occurrences of 'Secondary diabetes mellitus', starting anytime on or before cohort entry start date; allow events outside observation period.
+
+#### 3. has at least one diagnosis of T2DM on or within 365d of index date
+
+Entry events having at least 1 condition occurrence of 'Type 2 diabetes mellitus (diabetes mellitus excluding T1DM and secondary)', starting between 0 days before and 365 days after cohort entry start date.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1032.sql b/tests/cohorts/reference_outputs/1032.sql
new file mode 100644
index 00000000..decdae6d
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1032.sql
@@ -0,0 +1,550 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (443238,201820,442793))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (443238,201820,442793))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40484648,201254,435216,201254,195771,4058243,761051))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40484648,201254,435216,201254,195771,4058243,761051))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (195771))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (195771))
+
+) I
+) C UNION ALL 
+SELECT 3 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (37059902,4184637))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (37059902,4184637))
+
+) I
+) C UNION ALL 
+SELECT 4 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (21600744))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (21600744))
+
+) I
+) C UNION ALL 
+SELECT 5 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40484649,42689695,765533,43531006,765650,45770986,201254,45768456,40484648,4128019,435216))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40484649,42689695,765533,43531006,765650,45770986,201254,45768456,40484648,4128019,435216))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date 
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Drug Exposure Criteria
+
+UNION ALL
+-- Begin Measurement Criteria
+select C.person_id, C.measurement_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select m.person_id,m.measurement_id,m.measurement_concept_id,m.visit_occurrence_id,m.value_as_number,m.range_high,m.range_low,m.unit_concept_id,m.measurement_date as start_date, DATEADD(day,1,m.measurement_date) as end_date 
+  FROM @cdm_database_schema.MEASUREMENT m
+JOIN #Codesets cs on (m.measurement_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+WHERE (C.value_as_number >= 6.5000 and C.value_as_number <= 30.0000)
+AND C.unit_concept_id in (8554)
+-- End Measurement Criteria
+
+UNION ALL
+-- Begin Measurement Criteria
+select C.person_id, C.measurement_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select m.person_id,m.measurement_id,m.measurement_concept_id,m.visit_occurrence_id,m.value_as_number,m.range_high,m.range_low,m.unit_concept_id,m.measurement_date as start_date, DATEADD(day,1,m.measurement_date) as end_date 
+  FROM @cdm_database_schema.MEASUREMENT m
+JOIN #Codesets cs on (m.measurement_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+WHERE (C.value_as_number >= 48.0000 and C.value_as_number <= 99.0000)
+AND C.unit_concept_id in (9579)
+-- End Measurement Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 1 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_1
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 2 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_2
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= DATEADD(day,365,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_1
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_2) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+TRUNCATE TABLE #Inclusion_1;
+DROP TABLE #Inclusion_1;
+
+TRUNCATE TABLE #Inclusion_2;
+DROP TABLE #Inclusion_2;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{3 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),3)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 3 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence UNION ALL SELECT CAST(1 as int) as rule_sequence UNION ALL SELECT CAST(2 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1033.md b/tests/cohorts/reference_outputs/1033.md
new file mode 100644
index 00000000..616a6f57
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1033.md
@@ -0,0 +1,24 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'HIV excluding HIV-II  '.
+
+Restrict entry events to with at least 1 of the following criteria:
+
+   1. having at least 1 condition occurrence of 'HIV excluding HIV-II  ', starting  1 days after cohort entry start date.
+   2. having at least 1 drug exposure of 'HIV drugs', starting between 0 days after and all days after cohort entry start date.
+   3. having at least 1 measurement of 'HIV Screening Test', starting between 0 days after and all days after cohort entry start date; numeric value &gt; 1.
+  
+
+Limit these restricted entry events to the earliest event per person.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1033.sql b/tests/cohorts/reference_outputs/1033.sql
new file mode 100644
index 00000000..b5a26882
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1033.sql
@@ -0,0 +1,516 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 13 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4276586,44783356,439727))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4276586,44783356,439727))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4013105,432554))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4013105,432554))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 15 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (1736971,1789428,1727223,964008,42874220,1756831,1747157,1724869,43560385,35200446,1738135,42874212,1703069,1717002,1758536,1736829,42544019,1711523,1704183,1738170,1787101,1715472,1769389,1712889,40238930,1748921,1746244,1781406,1710281,1736999,1724827,1710612))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (1736971,1789428,1727223,964008,42874220,1756831,1747157,1724869,43560385,35200446,1738135,42874212,1703069,1717002,1758536,1736829,42544019,1711523,1704183,1738170,1787101,1715472,1769389,1712889,40238930,1748921,1746244,1781406,1710281,1736999,1724827,1710612))
+
+) I
+) C UNION ALL 
+SELECT 17 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (2212882,2212884,2212876,40792567,40792354,42529218,4038851,40762145,21491519,21493662,21491520,21491518,3030461,21491517,3044830,2213092,42742380,2213141,2213140,2213142))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (2212882,2212884,2212876,40792567,40792354,42529218,4038851,40762145,21491519,21493662,21491520,21491518,3030461,21491517,3044830,2213092,42742380,2213141,2213140,2213142))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 13)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 13)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 13)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 13)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,1,P.START_DATE) AND A.START_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 13)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) P
+JOIN (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date 
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 15)
+) C
+
+
+-- End Drug Exposure Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 2 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 13)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) P
+JOIN (
+  -- Begin Measurement Criteria
+select C.person_id, C.measurement_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select m.person_id,m.measurement_id,m.measurement_concept_id,m.visit_occurrence_id,m.value_as_number,m.range_high,m.range_low,m.measurement_date as start_date, DATEADD(day,1,m.measurement_date) as end_date 
+  FROM @cdm_database_schema.MEASUREMENT m
+JOIN #Codesets cs on (m.measurement_concept_id = cs.concept_id and cs.codeset_id = 17)
+) C
+
+WHERE C.value_as_number > 1.0000
+-- End Measurement Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) >= 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) QE
+WHERE QE.ordinal = 1
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1034.md b/tests/cohorts/reference_outputs/1034.md
new file mode 100644
index 00000000..ab63e534
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1034.md
@@ -0,0 +1,21 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Respiratory syncytial virus infection'.
+
+### Inclusion Criteria
+
+#### 1. 30 day clean window
+
+Entry events having no condition occurrences of 'Respiratory syncytial virus infection', starting in the 30 days prior to cohort entry start date; allow events outside observation period.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 30 days.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1034.sql b/tests/cohorts/reference_outputs/1034.sql
new file mode 100644
index 00000000..9ae70ca2
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1034.sql
@@ -0,0 +1,352 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (437222))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (437222))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,30,start_date) > op_end_date then op_end_date else DATEADD(day,30,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1035.md b/tests/cohorts/reference_outputs/1035.md
new file mode 100644
index 00000000..094e7880
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1035.md
@@ -0,0 +1,18 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] Thiazide or thiazide-like diuretics' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] Thiazide or thiazide-like diuretics':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1035.sql b/tests/cohorts/reference_outputs/1035.sql
new file mode 100644
index 00000000..3a3b0dfd
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1035.sql
@@ -0,0 +1,337 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (1395058,974166,978555,907013))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (1395058,974166,978555,907013))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 0 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 0 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1036.md b/tests/cohorts/reference_outputs/1036.md
new file mode 100644
index 00000000..514ccc80
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1036.md
@@ -0,0 +1,18 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] Beta blockers' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] Beta blockers':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1036.sql b/tests/cohorts/reference_outputs/1036.sql
new file mode 100644
index 00000000..327bff78
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1036.sql
@@ -0,0 +1,337 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (1319998,1314002,1322081,1338005,1346823,1386957,1307046,1313200,1314577,1327978,1345858,1353766))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (1319998,1314002,1322081,1338005,1346823,1386957,1307046,1313200,1314577,1327978,1345858,1353766))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 2 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 2 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1037.md b/tests/cohorts/reference_outputs/1037.md
new file mode 100644
index 00000000..c264ff65
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1037.md
@@ -0,0 +1,18 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] SGLT2 inhibitors' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] SGLT2 inhibitors':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1037.sql b/tests/cohorts/reference_outputs/1037.sql
new file mode 100644
index 00000000..2227d745
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1037.sql
@@ -0,0 +1,337 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 3 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (793293,43526465,44785829,45774751))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (793293,43526465,44785829,45774751))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 3 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 3 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1038.md b/tests/cohorts/reference_outputs/1038.md
new file mode 100644
index 00000000..364013e4
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1038.md
@@ -0,0 +1,18 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] GLP-1 receptor antagonists' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] GLP-1 receptor antagonists':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1038.sql b/tests/cohorts/reference_outputs/1038.sql
new file mode 100644
index 00000000..1f58b12a
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1038.sql
@@ -0,0 +1,337 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 4 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (45774435,44816332,40170911,793143,1583722,44506754))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (45774435,44816332,40170911,793143,1583722,44506754))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 4 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 4 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1039.md b/tests/cohorts/reference_outputs/1039.md
new file mode 100644
index 00000000..a9602cd3
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1039.md
@@ -0,0 +1,18 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] DPP4 Inhibitors' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] DPP4 Inhibitors':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1039.sql b/tests/cohorts/reference_outputs/1039.sql
new file mode 100644
index 00000000..5dae0157
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1039.sql
@@ -0,0 +1,337 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 5 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40166035,40239216,43013884,19122137,1580747))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40166035,40239216,43013884,19122137,1580747))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 5 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 5 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1040.md b/tests/cohorts/reference_outputs/1040.md
new file mode 100644
index 00000000..73a1fddb
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1040.md
@@ -0,0 +1,18 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] TNF inhibitors' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] TNF inhibitors':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1040.sql b/tests/cohorts/reference_outputs/1040.sql
new file mode 100644
index 00000000..f02d3e47
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1040.sql
@@ -0,0 +1,337 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 6 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (19041065,912263,937368,1151789,1119119))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (19041065,912263,937368,1151789,1119119))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 6 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 6 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1041.md b/tests/cohorts/reference_outputs/1041.md
new file mode 100644
index 00000000..2bac5c2c
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1041.md
@@ -0,0 +1,18 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] JAK inhibitor' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] JAK inhibitor':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1041.sql b/tests/cohorts/reference_outputs/1041.sql
new file mode 100644
index 00000000..7c6fc9a5
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1041.sql
@@ -0,0 +1,337 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 7 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (1510627,40244464,42904205))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (1510627,40244464,42904205))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 7)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 7 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 7 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1042.md b/tests/cohorts/reference_outputs/1042.md
new file mode 100644
index 00000000..090b982d
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1042.md
@@ -0,0 +1,18 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] IL23 inhibitors' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] IL23 inhibitors':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1042.sql b/tests/cohorts/reference_outputs/1042.sql
new file mode 100644
index 00000000..a24e6be0
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1042.sql
@@ -0,0 +1,337 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 8 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (35200139,1511348,1593700))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (35200139,1511348,1593700))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 8)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 8 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 8 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1043.md b/tests/cohorts/reference_outputs/1043.md
new file mode 100644
index 00000000..5bffb567
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1043.md
@@ -0,0 +1,18 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] fluoroquinolone systemic' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] fluoroquinolone systemic':
+allowing 30 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1043.sql b/tests/cohorts/reference_outputs/1043.sql
new file mode 100644
index 00000000..7f84d1f5
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1043.sql
@@ -0,0 +1,348 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 9 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (1721543,35198003,1747032,19041153,1592954,1716721,923081,19050750,1712549,35197938,36878831,40161662,43009030,1743222,35834909,35198165,1789276,1797513,1742253,1716903,35197897,19027679,1733765,1707800))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (1721543,35198003,1747032,19041153,1592954,1716721,923081,19050750,1712549,35197938,36878831,40161662,43009030,1743222,35834909,35198165,1789276,1797513,1742253,1716903,35197897,19027679,1733765,1707800))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (42613186,2909524,40161667,40028718,40028720,35860696,35858962,40059607,35861002,40001157,40059318,40057467,40066892,40066893,43695029,40069651,35851732,42961482,42479725,40028359,42629035,43258666,40028361,40160496,35605255,35860990,35144130,40069655,42965658,36269500,35857832,35857838,35860698,35862078,35862084,2052955,43678347,35154779,35141912,35861725,35851383,35851392,35856292))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (42613186,2909524,40161667,40028718,40028720,35860696,35858962,40059607,35861002,40001157,40059318,40057467,40066892,40066893,43695029,40069651,35851732,42961482,42479725,40028359,42629035,43258666,40028361,40160496,35605255,35860990,35144130,40069655,42965658,36269500,35857832,35857838,35860698,35862078,35862084,2052955,43678347,35154779,35141912,35861725,35851383,35851392,35856292))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 9)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 9 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 9 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 30, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(30 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1044.md b/tests/cohorts/reference_outputs/1044.md
new file mode 100644
index 00000000..9e6b9282
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1044.md
@@ -0,0 +1,18 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] cephalosporin systematic' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] cephalosporin systematic':
+allowing 30 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1044.sql b/tests/cohorts/reference_outputs/1044.sql
new file mode 100644
index 00000000..9467c9b3
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1044.sql
@@ -0,0 +1,348 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 10 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40798709,1796435,40798704,19072255,43008993,19028286,19072857,1773402,19028288,1774470,1774932,19051271,1775741,43009045,1749008,1738366,43009083,19051345,1776684,35198137,43008994,1749083,1777254,1777806,1778162,1786621,19052683,19086759,19086790,1786842,43009087,1708100,19126622,1768849,1769535,19070174,19070680,40798700,1771162,43009082,43009044,1796458,1747005,19028241))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40798709,1796435,40798704,19072255,43008993,19028286,19072857,1773402,19028288,1774470,1774932,19051271,1775741,43009045,1749008,1738366,43009083,19051345,1776684,35198137,43008994,1749083,1777254,1777806,1778162,1786621,19052683,19086759,19086790,1786842,43009087,1708100,19126622,1768849,1769535,19070174,19070680,40798700,1771162,43009082,43009044,1796458,1747005,19028241))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (35129269,35160132,2035392,21132307,40020954))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (35129269,35160132,2035392,21132307,40020954))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 10)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 10 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 10 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 30, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(30 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1045.md b/tests/cohorts/reference_outputs/1045.md
new file mode 100644
index 00000000..9688d67e
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1045.md
@@ -0,0 +1,18 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] Trimethoprim systemetic' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] Trimethoprim systemetic':
+allowing 30 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1045.sql b/tests/cohorts/reference_outputs/1045.sql
new file mode 100644
index 00000000..d3986579
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1045.sql
@@ -0,0 +1,348 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 11 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40081374,36882762,40220482,35153537,40147374,40081379,40081388,1705674))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40081374,36882762,40220482,35153537,40147374,40081379,40081388,1705674))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40073114,40073115,40180925))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40073114,40073115,40180925))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 11)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 11 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 11 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 30, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(30 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1046.md b/tests/cohorts/reference_outputs/1046.md
new file mode 100644
index 00000000..1407ff3a
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1046.md
@@ -0,0 +1,24 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] Thiazide or thiazide-like diuretics' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in essential hypertension
+
+Entry events having at least 1 condition occurrence of 'Essential hypertension', starting anytime on or before cohort entry start date.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] Thiazide or thiazide-like diuretics':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1046.sql b/tests/cohorts/reference_outputs/1046.sql
new file mode 100644
index 00000000..b2270d9c
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1046.sql
@@ -0,0 +1,405 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (1395058,974166,978555,907013))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (1395058,974166,978555,907013))
+
+) I
+) C UNION ALL 
+SELECT 1 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (320128,316866))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (320128,316866))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 0 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 0 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1047.md b/tests/cohorts/reference_outputs/1047.md
new file mode 100644
index 00000000..e2d4e9cb
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1047.md
@@ -0,0 +1,24 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] Dihydropyridine calcium channel blockers (dCCB)' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in essential hypertension
+
+Entry events having at least 1 condition occurrence of 'Essential hypertension', starting anytime on or before cohort entry start date.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] Dihydropyridine calcium channel blockers (dCCB)':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1047.sql b/tests/cohorts/reference_outputs/1047.sql
new file mode 100644
index 00000000..698d518a
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1047.sql
@@ -0,0 +1,405 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 1 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (1332418,1353776,1326012,1318137,1318853,1319880))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (1332418,1353776,1326012,1318137,1318853,1319880))
+
+) I
+) C UNION ALL 
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (320128,316866))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (320128,316866))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 1 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 1 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1048.md b/tests/cohorts/reference_outputs/1048.md
new file mode 100644
index 00000000..e3c831c5
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1048.md
@@ -0,0 +1,18 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] Dihydropyridine calcium channel blockers (dCCB)' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] Dihydropyridine calcium channel blockers (dCCB)':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1048.sql b/tests/cohorts/reference_outputs/1048.sql
new file mode 100644
index 00000000..f075b6cc
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1048.sql
@@ -0,0 +1,337 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 1 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (1332418,1353776,1326012,1318137,1318853,1319880))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (1332418,1353776,1326012,1318137,1318853,1319880))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 1 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 1 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1049.md b/tests/cohorts/reference_outputs/1049.md
new file mode 100644
index 00000000..df607e09
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1049.md
@@ -0,0 +1,24 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] Beta blockers' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in essential hypertension
+
+Entry events having at least 1 condition occurrence of 'Essential hypertension', starting anytime on or before cohort entry start date.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] Beta blockers':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1049.sql b/tests/cohorts/reference_outputs/1049.sql
new file mode 100644
index 00000000..19248c9d
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1049.sql
@@ -0,0 +1,405 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (1319998,1314002,1322081,1338005,1346823,1386957,1307046,1313200,1314577,1327978,1345858,1353766))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (1319998,1314002,1322081,1338005,1346823,1386957,1307046,1313200,1314577,1327978,1345858,1353766))
+
+) I
+) C UNION ALL 
+SELECT 3 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (320128,316866))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (320128,316866))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 2 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 2 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1050.md b/tests/cohorts/reference_outputs/1050.md
new file mode 100644
index 00000000..a870c886
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1050.md
@@ -0,0 +1,24 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] Beta blockers' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Left Heart Failure
+
+Entry events having at least 1 condition occurrence of 'Left Heart Failure', starting anytime on or before cohort entry start date.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] Beta blockers':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1050.sql b/tests/cohorts/reference_outputs/1050.sql
new file mode 100644
index 00000000..019b4630
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1050.sql
@@ -0,0 +1,416 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (1319998,1314002,1322081,1338005,1346823,1386957,1307046,1313200,1314577,1327978,1345858,1353766))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (1319998,1314002,1322081,1338005,1346823,1386957,1307046,1313200,1314577,1327978,1345858,1353766))
+
+) I
+) C UNION ALL 
+SELECT 4 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (442310,4195785,444031,443587,439846,443580,444101,319835,43020910))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (442310,4195785,444031,443587,439846,443580,444101,319835,43020910))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (37309625,4215446,4233424,4284562,4014159,44782713,312927,608954))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (37309625,4215446,4233424,4284562,4014159,44782713,312927,608954))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 2 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 2 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1051.md b/tests/cohorts/reference_outputs/1051.md
new file mode 100644
index 00000000..efe48140
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1051.md
@@ -0,0 +1,24 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] SGLT2 inhibitors' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Left Heart Failure
+
+Entry events having at least 1 condition occurrence of 'Left Heart Failure', starting anytime on or before cohort entry start date.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] SGLT2 inhibitors':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1051.sql b/tests/cohorts/reference_outputs/1051.sql
new file mode 100644
index 00000000..fc3bf6d1
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1051.sql
@@ -0,0 +1,416 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 3 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (793293,43526465,44785829,45774751))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (793293,43526465,44785829,45774751))
+
+) I
+) C UNION ALL 
+SELECT 4 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (442310,4195785,444031,443587,439846,443580,444101,319835,43020910))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (442310,4195785,444031,443587,439846,443580,444101,319835,43020910))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (37309625,4215446,4233424,4284562,4014159,44782713,312927,608954))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (37309625,4215446,4233424,4284562,4014159,44782713,312927,608954))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 3 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 3 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1052.md b/tests/cohorts/reference_outputs/1052.md
new file mode 100644
index 00000000..c9c10e6c
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1052.md
@@ -0,0 +1,24 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] Beta blockers' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Acute myocardial infarction
+
+Entry events having at least 1 condition occurrence of '[HowOften] Acute myocardial Infarction', starting between 30 days before and 0 days after cohort entry start date; having at least 1 visit occurrence of '[HowOften] Inpatient or ER visit', starting anytime on or before '[HowOften] Acute myocardial Infarction' start date and ending between 0 days before and all days after '[HowOften] Acute myocardial Infarction' start date.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] Beta blockers':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1052.sql b/tests/cohorts/reference_outputs/1052.sql
new file mode 100644
index 00000000..d0749351
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1052.sql
@@ -0,0 +1,500 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (1319998,1314002,1322081,1338005,1346823,1386957,1307046,1313200,1314577,1327978,1345858,1353766))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (1319998,1314002,1322081,1338005,1346823,1386957,1307046,1313200,1314577,1327978,1345858,1353766))
+
+) I
+) C UNION ALL 
+SELECT 5 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4329847))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4329847))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (314666))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (314666))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 6 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9203,9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9203,9201))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,0,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 2 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 2 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1053.md b/tests/cohorts/reference_outputs/1053.md
new file mode 100644
index 00000000..11d1ae4f
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1053.md
@@ -0,0 +1,28 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] GLP-1 receptor antagonists' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in type 2 diabetes mellitus
+
+Entry events having at least 1 condition occurrence of '[PL] Type 2 diabetes mellitus (diabetes mellitus excluding T1DM and secondary)', starting anytime on or before cohort entry start date; with all of the following criteria:
+
+   1. having no condition occurrences of '[PL] Type 1 Diabetes Mellitus', starting anytime on or before '[PL] Type 2 diabetes mellitus (diabetes mellitus excluding T1DM and secondary)' start date; allow events outside observation period.
+   2. having no condition occurrences of '[PL] Secondary diabetes mellitus', starting anytime on or before '[PL] Type 2 diabetes mellitus (diabetes mellitus excluding T1DM and secondary)' start date; allow events outside observation period.
+
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] GLP-1 receptor antagonists':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1053.sql b/tests/cohorts/reference_outputs/1053.sql
new file mode 100644
index 00000000..f14f20e6
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1053.sql
@@ -0,0 +1,587 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 4 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (45774435,44816332,40170911,793143,1583722,44506754))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (45774435,44816332,40170911,793143,1583722,44506754))
+
+) I
+) C UNION ALL 
+SELECT 5 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (443238,201820,442793))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (443238,201820,442793))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40484648,201254,435216,201254,195771,4058243,761051))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40484648,201254,435216,201254,195771,4058243,761051))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 6 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40484649,42689695,765533,43531006,765650,45770986,201254,45768456,40484648,4128019,435216))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40484649,42689695,765533,43531006,765650,45770986,201254,45768456,40484648,4128019,435216))
+
+) I
+) C UNION ALL 
+SELECT 7 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (195771))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (195771))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, p.person_id, p.event_id
+from (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 7)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 2
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 4 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 4 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1054.md b/tests/cohorts/reference_outputs/1054.md
new file mode 100644
index 00000000..12cfcd00
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1054.md
@@ -0,0 +1,28 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] SGLT2 inhibitors' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Type 2 diabetes mellitus
+
+Entry events having at least 1 condition occurrence of '[PL] Type 2 diabetes mellitus (diabetes mellitus excluding T1DM and secondary)', starting anytime on or before cohort entry start date; with all of the following criteria:
+
+   1. having no condition occurrences of '[PL] Type 1 Diabetes Mellitus', starting anytime on or before '[PL] Type 2 diabetes mellitus (diabetes mellitus excluding T1DM and secondary)' start date; allow events outside observation period.
+   2. having no condition occurrences of '[PL] Secondary diabetes mellitus', starting anytime on or before '[PL] Type 2 diabetes mellitus (diabetes mellitus excluding T1DM and secondary)' start date; allow events outside observation period.
+
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] SGLT2 inhibitors':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1054.sql b/tests/cohorts/reference_outputs/1054.sql
new file mode 100644
index 00000000..6d6dca40
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1054.sql
@@ -0,0 +1,587 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 3 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (793293,43526465,44785829,45774751))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (793293,43526465,44785829,45774751))
+
+) I
+) C UNION ALL 
+SELECT 4 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (443238,201820,442793))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (443238,201820,442793))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40484648,201254,435216,201254,195771,4058243,761051))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40484648,201254,435216,201254,195771,4058243,761051))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 5 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40484649,42689695,765533,43531006,765650,45770986,201254,45768456,40484648,4128019,435216))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40484649,42689695,765533,43531006,765650,45770986,201254,45768456,40484648,4128019,435216))
+
+) I
+) C UNION ALL 
+SELECT 6 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (195771))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (195771))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, p.person_id, p.event_id
+from (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 2
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) > 0
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 3 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 3 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1055.md b/tests/cohorts/reference_outputs/1055.md
new file mode 100644
index 00000000..33b5800a
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1055.md
@@ -0,0 +1,28 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] DPP4 Inhibitors' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in type 2 diabetes mellitus
+
+Entry events having at least 1 condition occurrence of '[PL] Type 2 diabetes mellitus (diabetes mellitus excluding T1DM and secondary)', starting anytime on or before cohort entry start date; with all of the following criteria:
+
+   1. having no condition occurrences of '[PL] Type 1 Diabetes Mellitus', starting anytime on or before '[PL] Type 2 diabetes mellitus (diabetes mellitus excluding T1DM and secondary)' start date; allow events outside observation period.
+   2. having no condition occurrences of '[PL] Secondary diabetes mellitus', starting anytime on or before '[PL] Type 2 diabetes mellitus (diabetes mellitus excluding T1DM and secondary)' start date; allow events outside observation period.
+
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] DPP4 Inhibitors':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1055.sql b/tests/cohorts/reference_outputs/1055.sql
new file mode 100644
index 00000000..f0813a8a
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1055.sql
@@ -0,0 +1,587 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 5 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40166035,40239216,43013884,19122137,1580747))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40166035,40239216,43013884,19122137,1580747))
+
+) I
+) C UNION ALL 
+SELECT 6 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (443238,201820,442793))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (443238,201820,442793))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40484648,201254,435216,201254,195771,4058243,761051))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40484648,201254,435216,201254,195771,4058243,761051))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 7 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40484649,42689695,765533,43531006,765650,45770986,201254,45768456,40484648,4128019,435216))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40484649,42689695,765533,43531006,765650,45770986,201254,45768456,40484648,4128019,435216))
+
+) I
+) C UNION ALL 
+SELECT 8 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (195771))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (195771))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 7)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, p.person_id, p.event_id
+from (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 8)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 2
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 5 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 5 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1056.md b/tests/cohorts/reference_outputs/1056.md
new file mode 100644
index 00000000..798ecd24
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1056.md
@@ -0,0 +1,31 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] GLP-1 receptor antagonists' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in obesity
+
+Entry events with any of the following criteria:
+
+   1. having at least 1 measurement of '[PL] BMI measurement', starting between 365 days before and 0 days after cohort entry start date; numeric value between 30 and 60.
+   2. having at least 1 measurement of '[PL] Body weight', starting between 365 days before and 0 days after cohort entry start date; numeric value between 265 and 440; unit: "pound (us)".
+   3. having at least 1 measurement of '[PL] Body weight', starting between 365 days before and 0 days after cohort entry start date; numeric value between 120 and 200; unit: "kilogram".
+   4. having at least 1 condition occurrence of '[PL] Obesity diagnoses', starting between 365 days before and 0 days after cohort entry start date.
+   5. having at least 1 observation of '[PL] Obesity diagnoses', starting between 365 days before and 0 days after cohort entry start date.
+
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] GLP-1 receptor antagonists':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1056.sql b/tests/cohorts/reference_outputs/1056.sql
new file mode 100644
index 00000000..35339322
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1056.sql
@@ -0,0 +1,536 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 4 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (45774435,44816332,40170911,793143,1583722,44506754))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (45774435,44816332,40170911,793143,1583722,44506754))
+
+) I
+) C UNION ALL 
+SELECT 5 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4215968,4176962))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4215968,4176962))
+
+) I
+) C UNION ALL 
+SELECT 6 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (3038553,36304833))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (3038553,36304833))
+
+) I
+) C UNION ALL 
+SELECT 7 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (3025315,4099154,3013762,3027492,3023166))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (3025315,4099154,3013762,3027492,3023166))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4264825))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4264825))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Measurement Criteria
+select C.person_id, C.measurement_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select m.person_id,m.measurement_id,m.measurement_concept_id,m.visit_occurrence_id,m.value_as_number,m.range_high,m.range_low,m.measurement_date as start_date, DATEADD(day,1,m.measurement_date) as end_date 
+  FROM @cdm_database_schema.MEASUREMENT m
+JOIN #Codesets cs on (m.measurement_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE (C.value_as_number >= 30.0000 and C.value_as_number <= 60.0000)
+-- End Measurement Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Measurement Criteria
+select C.person_id, C.measurement_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select m.person_id,m.measurement_id,m.measurement_concept_id,m.visit_occurrence_id,m.value_as_number,m.range_high,m.range_low,m.unit_concept_id,m.measurement_date as start_date, DATEADD(day,1,m.measurement_date) as end_date 
+  FROM @cdm_database_schema.MEASUREMENT m
+JOIN #Codesets cs on (m.measurement_concept_id = cs.concept_id and cs.codeset_id = 7)
+) C
+
+WHERE (C.value_as_number >= 265.0000 and C.value_as_number <= 440.0000)
+AND C.unit_concept_id in (8739)
+-- End Measurement Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 2 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Measurement Criteria
+select C.person_id, C.measurement_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select m.person_id,m.measurement_id,m.measurement_concept_id,m.visit_occurrence_id,m.value_as_number,m.range_high,m.range_low,m.unit_concept_id,m.measurement_date as start_date, DATEADD(day,1,m.measurement_date) as end_date 
+  FROM @cdm_database_schema.MEASUREMENT m
+JOIN #Codesets cs on (m.measurement_concept_id = cs.concept_id and cs.codeset_id = 7)
+) C
+
+WHERE (C.value_as_number >= 120.0000 and C.value_as_number <= 200.0000)
+AND C.unit_concept_id in (9529)
+-- End Measurement Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 3 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 4 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Observation Criteria
+select C.person_id, C.observation_id as event_id, C.start_date, C.END_DATE,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select o.person_id,o.observation_id,o.observation_concept_id,o.visit_occurrence_id,o.value_as_number,o.observation_date as start_date, DATEADD(day,1,o.observation_date) as end_date 
+  FROM @cdm_database_schema.OBSERVATION o
+JOIN #Codesets cs on (o.observation_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Observation Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) > 0
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 4 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 4 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1057.md b/tests/cohorts/reference_outputs/1057.md
new file mode 100644
index 00000000..2b848789
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1057.md
@@ -0,0 +1,24 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] IL23 inhibitors' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Plaque psoriasis
+
+Entry events having at least 1 condition occurrence of 'Plaque psoriasis', starting anytime on or before cohort entry start date.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] IL23 inhibitors':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1057.sql b/tests/cohorts/reference_outputs/1057.sql
new file mode 100644
index 00000000..a20488ca
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1057.sql
@@ -0,0 +1,405 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 8 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (35200139,1511348,1593700))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (35200139,1511348,1593700))
+
+) I
+) C UNION ALL 
+SELECT 9 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (140168,4307925,4063431))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4307925,4063431))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 8)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 9)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 8 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 8 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1058.md b/tests/cohorts/reference_outputs/1058.md
new file mode 100644
index 00000000..049f4c9d
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1058.md
@@ -0,0 +1,24 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] TNF inhibitors' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Plaque psoriasis
+
+Entry events having at least 1 condition occurrence of 'Plaque psoriasis', starting anytime on or before cohort entry start date.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] TNF inhibitors':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1058.sql b/tests/cohorts/reference_outputs/1058.sql
new file mode 100644
index 00000000..18dd31f4
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1058.sql
@@ -0,0 +1,405 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 6 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (19041065,912263,937368,1151789,1119119))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (19041065,912263,937368,1151789,1119119))
+
+) I
+) C UNION ALL 
+SELECT 7 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (140168,4307925,4063431))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4307925,4063431))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 7)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 6 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 6 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1059.md b/tests/cohorts/reference_outputs/1059.md
new file mode 100644
index 00000000..aef6137d
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1059.md
@@ -0,0 +1,28 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] TNF inhibitors' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Psoriatic Arthritis
+
+Entry events with any of the following criteria:
+
+   1. having at least 1 condition occurrence of 'Psoriatic arthritis (exclude mutilans)', starting anytime on or before cohort entry start date.
+   2. having at least 1 condition occurrence of 'Arthropathy', starting anytime on or before cohort entry start date; having at least 1 condition occurrence of 'Psoriasis', starting between 60 days before and 60 days after 'Arthropathy' start date.
+
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] TNF inhibitors':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1059.sql b/tests/cohorts/reference_outputs/1059.sql
new file mode 100644
index 00000000..185e0a4e
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1059.sql
@@ -0,0 +1,530 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 6 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (19041065,912263,937368,1151789,1119119))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (19041065,912263,937368,1151789,1119119))
+
+) I
+) C UNION ALL 
+SELECT 7 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (81931,40319772))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (81931,40319772))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4025831))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 8 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (140168))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (140168))
+
+) I
+) C UNION ALL 
+SELECT 9 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (80809,81097,72714,75621,72705,75622,75897,79903,4153359,437082))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (80809,81097,72714,75621,72705,75622,75897,79903,4153359,437082))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 7)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 9)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 9)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 9)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 8)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-60,P.START_DATE) AND A.START_DATE <= DATEADD(day,60,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) > 0
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 6 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 6 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1060.md b/tests/cohorts/reference_outputs/1060.md
new file mode 100644
index 00000000..aff32d18
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1060.md
@@ -0,0 +1,24 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] fluoroquinolone systemic' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Urinary Tract Infection
+
+Entry events having at least 1 condition occurrence of 'Urinary tract infection', starting between 30 days before and 0 days after cohort entry start date.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] fluoroquinolone systemic':
+allowing 30 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1060.sql b/tests/cohorts/reference_outputs/1060.sql
new file mode 100644
index 00000000..6b622423
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1060.sql
@@ -0,0 +1,427 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 9 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (1721543,35198003,1747032,19041153,1592954,1716721,923081,19050750,1712549,35197938,36878831,40161662,43009030,1743222,35834909,35198165,1789276,1797513,1742253,1716903,35197897,19027679,1733765,1707800))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (1721543,35198003,1747032,19041153,1592954,1716721,923081,19050750,1712549,35197938,36878831,40161662,43009030,1743222,35834909,35198165,1789276,1797513,1742253,1716903,35197897,19027679,1733765,1707800))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (42613186,2909524,40161667,40028718,40028720,35860696,35858962,40059607,35861002,40001157,40059318,40057467,40066892,40066893,43695029,40069651,35851732,42961482,42479725,40028359,42629035,43258666,40028361,40160496,35605255,35860990,35144130,40069655,42965658,36269500,35857832,35857838,35860698,35862078,35862084,2052955,43678347,35154779,35141912,35861725,35851383,35851392,35856292))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (42613186,2909524,40161667,40028718,40028720,35860696,35858962,40059607,35861002,40001157,40059318,40057467,40066892,40066893,43695029,40069651,35851732,42961482,42479725,40028359,42629035,43258666,40028361,40160496,35605255,35860990,35144130,40069655,42965658,36269500,35857832,35857838,35860698,35862078,35862084,2052955,43678347,35154779,35141912,35861725,35851383,35851392,35856292))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 10 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (81902,77340,4126297,195588))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (81902,77340,4126297,195588))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4167328,4265485,198806,4126267,194997,4077499,442345,4062493,45757237,36714969,195743,201353,4047937,201792,4128384,78357,195313,197919,439349,4227291,4060312,4127564,4126141,4127565,4207186,4207190,434557,432251,36102152,433417,36102938))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4167328,4265485,198806,4126267,4077499,442345,4062493,45757237,36714969,195743,201353,4047937,201792,78357,195313,197919,4127564,4127565,4207186,4207190,434557,432251,36102152,433417,36102938))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 9)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 10)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 9 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 9 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 30, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(30 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1061.md b/tests/cohorts/reference_outputs/1061.md
new file mode 100644
index 00000000..d2aef5da
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1061.md
@@ -0,0 +1,24 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] cephalosporin systematic' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Urinary Tract Infection
+
+Entry events having at least 1 condition occurrence of 'Urinary tract infection', starting between 30 days before and 0 days after cohort entry start date.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] cephalosporin systematic':
+allowing 30 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1061.sql b/tests/cohorts/reference_outputs/1061.sql
new file mode 100644
index 00000000..2774a1c5
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1061.sql
@@ -0,0 +1,427 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 10 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40798709,1796435,40798704,19072255,43008993,19028286,19072857,1773402,19028288,1774470,1774932,19051271,1775741,43009045,1749008,1738366,43009083,19051345,1776684,35198137,43008994,1749083,1777254,1777806,1778162,1786621,19052683,19086759,19086790,1786842,43009087,1708100,19126622,1768849,1769535,19070174,19070680,40798700,1771162,43009082,43009044,1796458,1747005,19028241))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40798709,1796435,40798704,19072255,43008993,19028286,19072857,1773402,19028288,1774470,1774932,19051271,1775741,43009045,1749008,1738366,43009083,19051345,1776684,35198137,43008994,1749083,1777254,1777806,1778162,1786621,19052683,19086759,19086790,1786842,43009087,1708100,19126622,1768849,1769535,19070174,19070680,40798700,1771162,43009082,43009044,1796458,1747005,19028241))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (35129269,35160132,2035392,21132307,40020954))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (35129269,35160132,2035392,21132307,40020954))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 11 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (81902,77340,4126297,195588))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (81902,77340,4126297,195588))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4167328,4265485,198806,4126267,194997,4077499,442345,4062493,45757237,36714969,195743,201353,4047937,201792,4128384,78357,195313,197919,439349,4227291,4060312,4127564,4126141,4127565,4207186,4207190,434557,432251,36102152,433417,36102938))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4167328,4265485,198806,4126267,4077499,442345,4062493,45757237,36714969,195743,201353,4047937,201792,78357,195313,197919,4127564,4127565,4207186,4207190,434557,432251,36102152,433417,36102938))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 10)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 11)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 10 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 10 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 30, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(30 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1062.md b/tests/cohorts/reference_outputs/1062.md
new file mode 100644
index 00000000..ed85f0f7
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1062.md
@@ -0,0 +1,24 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] Trimethoprim systemetic' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Urinary Tract Infection
+
+Entry events having at least 1 condition occurrence of 'Urinary tract infection', starting between 30 days before and 0 days after cohort entry start date.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] Trimethoprim systemetic':
+allowing 30 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1062.sql b/tests/cohorts/reference_outputs/1062.sql
new file mode 100644
index 00000000..25ef891c
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1062.sql
@@ -0,0 +1,427 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 11 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40081374,36882762,40220482,35153537,40147374,40081379,40081388,1705674))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40081374,36882762,40220482,35153537,40147374,40081379,40081388,1705674))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40073114,40073115,40180925))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40073114,40073115,40180925))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 12 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (81902,77340,4126297,195588))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (81902,77340,4126297,195588))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4167328,4265485,198806,4126267,194997,4077499,442345,4062493,45757237,36714969,195743,201353,4047937,201792,4128384,78357,195313,197919,439349,4227291,4060312,4127564,4126141,4127565,4207186,4207190,434557,432251,36102152,433417,36102938))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4167328,4265485,198806,4126267,4077499,442345,4062493,45757237,36714969,195743,201353,4047937,201792,78357,195313,197919,4127564,4127565,4207186,4207190,434557,432251,36102152,433417,36102938))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 11)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 12)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 11 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 11 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 30, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(30 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1063.md b/tests/cohorts/reference_outputs/1063.md
new file mode 100644
index 00000000..5209ed7c
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1063.md
@@ -0,0 +1,28 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] fluoroquinolone systemic' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Acute Typical Pneumonia
+
+Entry events with all of the following criteria:
+
+   1. having at least 1 condition occurrence of 'Acute Typical Pneumonia', starting between 30 days before and 0 days after cohort entry start date.
+   2. having no condition occurrences of 'Non Acute Typical Pneumonia', starting between 30 days before and 0 days after cohort entry start date.
+
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] fluoroquinolone systemic':
+allowing 30 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1063.sql b/tests/cohorts/reference_outputs/1063.sql
new file mode 100644
index 00000000..ee0103ed
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1063.sql
@@ -0,0 +1,464 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 9 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (1721543,35198003,1747032,19041153,1592954,1716721,923081,19050750,1712549,35197938,36878831,40161662,43009030,1743222,35834909,35198165,1789276,1797513,1742253,1716903,35197897,19027679,1733765,1707800))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (1721543,35198003,1747032,19041153,1592954,1716721,923081,19050750,1712549,35197938,36878831,40161662,43009030,1743222,35834909,35198165,1789276,1797513,1742253,1716903,35197897,19027679,1733765,1707800))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (42613186,2909524,40161667,40028718,40028720,35860696,35858962,40059607,35861002,40001157,40059318,40057467,40066892,40066893,43695029,40069651,35851732,42961482,42479725,40028359,42629035,43258666,40028361,40160496,35605255,35860990,35144130,40069655,42965658,36269500,35857832,35857838,35860698,35862078,35862084,2052955,43678347,35154779,35141912,35861725,35851383,35851392,35856292))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (42613186,2909524,40161667,40028718,40028720,35860696,35858962,40059607,35861002,40001157,40059318,40057467,40066892,40066893,43695029,40069651,35851732,42961482,42479725,40028359,42629035,43258666,40028361,40160496,35605255,35860990,35144130,40069655,42965658,36269500,35857832,35857838,35860698,35862078,35862084,2052955,43678347,35154779,35141912,35861725,35851383,35851392,35856292))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 10 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4318404))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4318404))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (46269693,4193174,36712839,4273378,256622))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (46269693,4193174,36712839,4273378,256622))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 11 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (36712839,4193174,256622,46269693,4273378))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (36712839,4193174,256622,46269693,4273378))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 9)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 10)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 11)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 2
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 9 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 9 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 30, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(30 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1064.md b/tests/cohorts/reference_outputs/1064.md
new file mode 100644
index 00000000..370cc376
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1064.md
@@ -0,0 +1,28 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] cephalosporin systematic' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Acute Typical Pneumonia
+
+Entry events with all of the following criteria:
+
+   1. having at least 1 condition occurrence of 'Acute Typical Pneumonia', starting between 30 days before and 0 days after cohort entry start date.
+   2. having no condition occurrences of 'Non Acute Typical Pneumonia', starting between 30 days before and 0 days after cohort entry start date.
+
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] cephalosporin systematic':
+allowing 30 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1064.sql b/tests/cohorts/reference_outputs/1064.sql
new file mode 100644
index 00000000..1e8b6d72
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1064.sql
@@ -0,0 +1,464 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 10 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40798709,1796435,40798704,19072255,43008993,19028286,19072857,1773402,19028288,1774470,1774932,19051271,1775741,43009045,1749008,1738366,43009083,19051345,1776684,35198137,43008994,1749083,1777254,1777806,1778162,1786621,19052683,19086759,19086790,1786842,43009087,1708100,19126622,1768849,1769535,19070174,19070680,40798700,1771162,43009082,43009044,1796458,1747005,19028241))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40798709,1796435,40798704,19072255,43008993,19028286,19072857,1773402,19028288,1774470,1774932,19051271,1775741,43009045,1749008,1738366,43009083,19051345,1776684,35198137,43008994,1749083,1777254,1777806,1778162,1786621,19052683,19086759,19086790,1786842,43009087,1708100,19126622,1768849,1769535,19070174,19070680,40798700,1771162,43009082,43009044,1796458,1747005,19028241))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (35129269,35160132,2035392,21132307,40020954))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (35129269,35160132,2035392,21132307,40020954))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 11 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4318404))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4318404))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (46269693,4193174,36712839,4273378,256622))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (46269693,4193174,36712839,4273378,256622))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 12 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (36712839,4193174,256622,46269693,4273378))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (36712839,4193174,256622,46269693,4273378))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 10)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 11)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 12)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 2
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 10 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 10 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 30, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(30 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1065.md b/tests/cohorts/reference_outputs/1065.md
new file mode 100644
index 00000000..a5519dc0
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1065.md
@@ -0,0 +1,28 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] Trimethoprim systemetic' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Acute Typical Pneumonia
+
+Entry events with all of the following criteria:
+
+   1. having at least 1 condition occurrence of 'Acute Typical Pneumonia', starting between 30 days before and 0 days after cohort entry start date.
+   2. having no condition occurrences of 'Non Acute Typical Pneumonia', starting between 30 days before and 0 days after cohort entry start date.
+
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] Trimethoprim systemetic':
+allowing 30 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1065.sql b/tests/cohorts/reference_outputs/1065.sql
new file mode 100644
index 00000000..7ab81387
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1065.sql
@@ -0,0 +1,464 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 11 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40081374,36882762,40220482,35153537,40147374,40081379,40081388,1705674))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40081374,36882762,40220482,35153537,40147374,40081379,40081388,1705674))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40073114,40073115,40180925))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40073114,40073115,40180925))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 12 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4318404))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4318404))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (46269693,4193174,36712839,4273378,256622))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (46269693,4193174,36712839,4273378,256622))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 13 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (36712839,4193174,256622,46269693,4273378))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (36712839,4193174,256622,46269693,4273378))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 11)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 12)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 13)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 2
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 11 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 11 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 30, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(30 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1066.md b/tests/cohorts/reference_outputs/1066.md
new file mode 100644
index 00000000..e1d8f86f
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1066.md
@@ -0,0 +1,28 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] TNF inhibitors' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Rheumatoid arthritis
+
+Entry events with any of the following criteria:
+
+   1. having at least 1 condition occurrence of '[PL] Rheumatoid arthritis', starting anytime on or before cohort entry start date.
+   2. having at least 1 observation of '[PL] Rheumatoid arthritis', starting anytime on or before cohort entry start date.
+
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] TNF inhibitors':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1066.sql b/tests/cohorts/reference_outputs/1066.sql
new file mode 100644
index 00000000..b1dd917b
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1066.sql
@@ -0,0 +1,429 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 6 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (19041065,912263,937368,1151789,1119119))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (19041065,912263,937368,1151789,1119119))
+
+) I
+) C UNION ALL 
+SELECT 7 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4297650,4334806,46273442,2107572,2107561,4107913,2108721,4102493,80809,2107560,2107558,2107559,4083556,4035611))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4297650,4334806,46273442,2107572,2107561,4107913,2108721,4102493,80809,2107560,2107558,2107559,4083556,4035611))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 7)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Observation Criteria
+select C.person_id, C.observation_id as event_id, C.start_date, C.END_DATE,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select o.person_id,o.observation_id,o.observation_concept_id,o.visit_occurrence_id,o.value_as_number,o.observation_date as start_date, DATEADD(day,1,o.observation_date) as end_date 
+  FROM @cdm_database_schema.OBSERVATION o
+JOIN #Codesets cs on (o.observation_concept_id = cs.concept_id and cs.codeset_id = 7)
+) C
+
+
+-- End Observation Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) > 0
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 6 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 6 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1067.md b/tests/cohorts/reference_outputs/1067.md
new file mode 100644
index 00000000..32df0f94
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1067.md
@@ -0,0 +1,24 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] JAK inhibitor' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Ulcerative colitis
+
+Entry events having at least 1 condition occurrence of 'Ulcerative colitis', starting anytime on or before cohort entry start date.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] JAK inhibitor':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1067.sql b/tests/cohorts/reference_outputs/1067.sql
new file mode 100644
index 00000000..a207900f
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1067.sql
@@ -0,0 +1,405 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 7 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (1510627,40244464,42904205))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (1510627,40244464,42904205))
+
+) I
+) C UNION ALL 
+SELECT 8 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (46273477,46273478,81893,75580,46269847,46269843))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (46273477,46273478,81893,75580,46269847,46269843))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 7)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 8)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 7 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 7 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1068.md b/tests/cohorts/reference_outputs/1068.md
new file mode 100644
index 00000000..f4b1c590
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1068.md
@@ -0,0 +1,24 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] TNF inhibitors' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Ulcerative colitis
+
+Entry events having at least 1 condition occurrence of '[PL] Ulcerative colitis', starting anytime on or before cohort entry start date.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] TNF inhibitors':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1068.sql b/tests/cohorts/reference_outputs/1068.sql
new file mode 100644
index 00000000..770927cc
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1068.sql
@@ -0,0 +1,405 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 6 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (19041065,912263,937368,1151789,1119119))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (19041065,912263,937368,1151789,1119119))
+
+) I
+) C UNION ALL 
+SELECT 7 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (46273477,46273478,81893,75580,46269847,46269843))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (46273477,46273478,81893,75580,46269847,46269843))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 7)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 6 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 6 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1069.md b/tests/cohorts/reference_outputs/1069.md
new file mode 100644
index 00000000..f8309e4b
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1069.md
@@ -0,0 +1,24 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] TNF inhibitors' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Crohns disease
+
+Entry events having at least 1 condition occurrence of 'Crohns disease', starting anytime on or before cohort entry start date.
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] TNF inhibitors':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1069.sql b/tests/cohorts/reference_outputs/1069.sql
new file mode 100644
index 00000000..9325885d
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1069.sql
@@ -0,0 +1,405 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 6 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (19041065,912263,937368,1151789,1119119))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (19041065,912263,937368,1151789,1119119))
+
+) I
+) C UNION ALL 
+SELECT 7 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (46269889,201606,4340812))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (46269889,201606,4340812))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 7)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 6 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 6 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1070.md b/tests/cohorts/reference_outputs/1070.md
new file mode 100644
index 00000000..9cfaab2a
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1070.md
@@ -0,0 +1,28 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. drug exposure of '[HowOften] JAK inhibitor' for the first time in the person's history.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. nested in Rheumatoid arthritis
+
+Entry events with any of the following criteria:
+
+   1. having at least 1 condition occurrence of '[PL] Rheumatoid arthritis', starting anytime on or before cohort entry start date.
+   2. having at least 1 observation of '[PL] Rheumatoid arthritis', starting anytime on or before cohort entry start date.
+
+
+### Cohort Exit
+
+The cohort end date will be based on a continuous exposure to '[HowOften] JAK inhibitor':
+allowing 90 days between exposures, adding 0 days after exposure ends, and using days supply and exposure end date for exposure duration.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1070.sql b/tests/cohorts/reference_outputs/1070.sql
new file mode 100644
index 00000000..4de25b7f
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1070.sql
@@ -0,0 +1,429 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 7 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (1510627,40244464,42904205))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (1510627,40244464,42904205))
+
+) I
+) C UNION ALL 
+SELECT 8 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4297650,4334806,46273442,2107572,2107561,4107913,2108721,4102493,80809,2107560,2107558,2107559,4083556,4035611))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4297650,4334806,46273442,2107572,2107561,4107913,2108721,4102493,80809,2107560,2107558,2107559,4083556,4035611))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Drug Exposure Criteria
+select C.person_id, C.drug_exposure_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id,C.start_date as sort_date
+from 
+(
+  select de.person_id,de.drug_exposure_id,de.drug_concept_id,de.visit_occurrence_id,days_supply,quantity,refills,de.drug_exposure_start_date as start_date, COALESCE(de.drug_exposure_end_date, DATEADD(day,de.days_supply,de.drug_exposure_start_date), DATEADD(day,1,de.drug_exposure_start_date)) as end_date , row_number() over (PARTITION BY de.person_id ORDER BY de.drug_exposure_start_date, de.drug_exposure_id) as ordinal
+  FROM @cdm_database_schema.DRUG_EXPOSURE de
+JOIN #Codesets cs on (de.drug_concept_id = cs.concept_id and cs.codeset_id = 7)
+) C
+
+WHERE C.ordinal = 1
+-- End Drug Exposure Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 8)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Observation Criteria
+select C.person_id, C.observation_id as event_id, C.start_date, C.END_DATE,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select o.person_id,o.observation_id,o.observation_concept_id,o.visit_occurrence_id,o.value_as_number,o.observation_date as start_date, DATEADD(day,1,o.observation_date) as end_date 
+  FROM @cdm_database_schema.OBSERVATION o
+JOIN #Codesets cs on (o.observation_concept_id = cs.concept_id and cs.codeset_id = 8)
+) C
+
+
+-- End Observation Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) > 0
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+-- custom era strategy
+
+with ctePersons(person_id) as (
+	select distinct person_id from #included_events
+)
+
+select person_id, drug_exposure_start_date, drug_exposure_end_date
+INTO #drugTarget
+FROM (
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 7 AND de.drug_concept_id = cs.concept_id
+
+	UNION ALL
+
+	select de.PERSON_ID, DRUG_EXPOSURE_START_DATE, COALESCE(DRUG_EXPOSURE_END_DATE, DATEADD(day,DAYS_SUPPLY,DRUG_EXPOSURE_START_DATE), DATEADD(day,1,DRUG_EXPOSURE_START_DATE)) as DRUG_EXPOSURE_END_DATE 
+	FROM @cdm_database_schema.DRUG_EXPOSURE de
+	JOIN ctePersons p on de.person_id = p.person_id
+	JOIN #Codesets cs on cs.codeset_id = 7 AND de.drug_source_concept_id = cs.concept_id
+) E
+;
+
+select et.event_id, et.person_id, ERAS.era_end_date as end_date
+INTO #strategy_ends
+from #included_events et
+JOIN 
+(
+
+  select person_id, min(start_date) as era_start_date, DATEADD(day,-1 * 90, max(end_date)) as era_end_date
+  from (
+    select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+    from (
+      select person_id, start_date, end_date, 
+        case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+      from (
+        select person_id, drug_exposure_start_date as start_date, DATEADD(day,(90 + 0),DRUG_EXPOSURE_END_DATE) as end_date
+        FROM #drugTarget
+      ) DT
+    ) ST
+  ) GR
+  group by person_id, group_idx
+) ERAS on ERAS.person_id = et.person_id 
+WHERE et.start_date between ERAS.era_start_date and ERAS.era_end_date;
+
+TRUNCATE TABLE #drugTarget;
+DROP TABLE #drugTarget;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+UNION ALL
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1071.md b/tests/cohorts/reference_outputs/1071.md
new file mode 100644
index 00000000..3a0e4c87
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1071.md
@@ -0,0 +1,37 @@
+### Cohort Entry Events
+
+People with continuous observation of 365 days before event may enter the cohort when observing any of the following:
+
+1. observation periods, a user defiend start date of January 1, 2022 and end date of January 1, 2022.
+
+2. observation periods, a user defiend start date of January 1, 2021 and end date of January 1, 2021.
+
+3. observation periods, a user defiend start date of January 1, 2020 and end date of January 1, 2020.
+
+4. observation periods, a user defiend start date of January 1, 2019 and end date of January 1, 2019.
+
+5. observation periods, a user defiend start date of January 1, 2018 and end date of January 1, 2018.
+
+6. observation periods, a user defiend start date of January 1, 2017 and end date of January 1, 2017.
+
+7. observation periods, a user defiend start date of January 1, 2016 and end date of January 1, 2016.
+
+8. observation periods, a user defiend start date of January 1, 2015 and end date of January 1, 2015.
+
+9. observation periods, a user defiend start date of January 1, 2014 and end date of January 1, 2014.
+
+10. observation periods, a user defiend start date of January 1, 2013 and end date of January 1, 2013.
+
+11. observation periods, a user defiend start date of January 1, 2012 and end date of January 1, 2012.
+
+Restrict entry events to with the following event criteria: who are female or male, between 0 and 100 years old.  
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1071.sql b/tests/cohorts/reference_outputs/1071.sql
new file mode 100644
index 00000000..f19054d2
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1071.sql
@@ -0,0 +1,815 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2022, 1, 1) as start_date, DATEFROMPARTS(2022, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2022, 1, 1) and C.end_date >= DATEFROMPARTS(2022, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2022, 1, 1) and C.end_date >= DATEFROMPARTS(2022, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2021, 1, 1) as start_date, DATEFROMPARTS(2021, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2021, 1, 1) and C.end_date >= DATEFROMPARTS(2021, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2021, 1, 1) and C.end_date >= DATEFROMPARTS(2021, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2020, 1, 1) as start_date, DATEFROMPARTS(2020, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2020, 1, 1) and C.end_date >= DATEFROMPARTS(2020, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2020, 1, 1) and C.end_date >= DATEFROMPARTS(2020, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2019, 1, 1) as start_date, DATEFROMPARTS(2019, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2019, 1, 1) and C.end_date >= DATEFROMPARTS(2019, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2019, 1, 1) and C.end_date >= DATEFROMPARTS(2019, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2018, 1, 1) as start_date, DATEFROMPARTS(2018, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2018, 1, 1) and C.end_date >= DATEFROMPARTS(2018, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2018, 1, 1) and C.end_date >= DATEFROMPARTS(2018, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2017, 1, 1) as start_date, DATEFROMPARTS(2017, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2017, 1, 1) and C.end_date >= DATEFROMPARTS(2017, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2017, 1, 1) and C.end_date >= DATEFROMPARTS(2017, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2016, 1, 1) as start_date, DATEFROMPARTS(2016, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2016, 1, 1) and C.end_date >= DATEFROMPARTS(2016, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2016, 1, 1) and C.end_date >= DATEFROMPARTS(2016, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2015, 1, 1) as start_date, DATEFROMPARTS(2015, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2015, 1, 1) and C.end_date >= DATEFROMPARTS(2015, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2015, 1, 1) and C.end_date >= DATEFROMPARTS(2015, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2014, 1, 1) as start_date, DATEFROMPARTS(2014, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2014, 1, 1) and C.end_date >= DATEFROMPARTS(2014, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2014, 1, 1) and C.end_date >= DATEFROMPARTS(2014, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2013, 1, 1) as start_date, DATEFROMPARTS(2013, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2013, 1, 1) and C.end_date >= DATEFROMPARTS(2013, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2013, 1, 1) and C.end_date >= DATEFROMPARTS(2013, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2012, 1, 1) as start_date, DATEFROMPARTS(2012, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2012, 1, 1) and C.end_date >= DATEFROMPARTS(2012, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2012, 1, 1) and C.end_date >= DATEFROMPARTS(2012, 1, 1)
+-- End Observation Period Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2022, 1, 1) as start_date, DATEFROMPARTS(2022, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2022, 1, 1) and C.end_date >= DATEFROMPARTS(2022, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2022, 1, 1) and C.end_date >= DATEFROMPARTS(2022, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2021, 1, 1) as start_date, DATEFROMPARTS(2021, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2021, 1, 1) and C.end_date >= DATEFROMPARTS(2021, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2021, 1, 1) and C.end_date >= DATEFROMPARTS(2021, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2020, 1, 1) as start_date, DATEFROMPARTS(2020, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2020, 1, 1) and C.end_date >= DATEFROMPARTS(2020, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2020, 1, 1) and C.end_date >= DATEFROMPARTS(2020, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2019, 1, 1) as start_date, DATEFROMPARTS(2019, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2019, 1, 1) and C.end_date >= DATEFROMPARTS(2019, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2019, 1, 1) and C.end_date >= DATEFROMPARTS(2019, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2018, 1, 1) as start_date, DATEFROMPARTS(2018, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2018, 1, 1) and C.end_date >= DATEFROMPARTS(2018, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2018, 1, 1) and C.end_date >= DATEFROMPARTS(2018, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2017, 1, 1) as start_date, DATEFROMPARTS(2017, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2017, 1, 1) and C.end_date >= DATEFROMPARTS(2017, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2017, 1, 1) and C.end_date >= DATEFROMPARTS(2017, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2016, 1, 1) as start_date, DATEFROMPARTS(2016, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2016, 1, 1) and C.end_date >= DATEFROMPARTS(2016, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2016, 1, 1) and C.end_date >= DATEFROMPARTS(2016, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2015, 1, 1) as start_date, DATEFROMPARTS(2015, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2015, 1, 1) and C.end_date >= DATEFROMPARTS(2015, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2015, 1, 1) and C.end_date >= DATEFROMPARTS(2015, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2014, 1, 1) as start_date, DATEFROMPARTS(2014, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2014, 1, 1) and C.end_date >= DATEFROMPARTS(2014, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2014, 1, 1) and C.end_date >= DATEFROMPARTS(2014, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2013, 1, 1) as start_date, DATEFROMPARTS(2013, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2013, 1, 1) and C.end_date >= DATEFROMPARTS(2013, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2013, 1, 1) and C.end_date >= DATEFROMPARTS(2013, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2012, 1, 1) as start_date, DATEFROMPARTS(2012, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2012, 1, 1) and C.end_date >= DATEFROMPARTS(2012, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2012, 1, 1) and C.end_date >= DATEFROMPARTS(2012, 1, 1)
+-- End Observation Period Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) E
+  INNER JOIN
+  (
+    -- Begin Demographic Criteria
+SELECT 0 as index_id, e.person_id, e.event_id
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2022, 1, 1) as start_date, DATEFROMPARTS(2022, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2022, 1, 1) and C.end_date >= DATEFROMPARTS(2022, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2022, 1, 1) and C.end_date >= DATEFROMPARTS(2022, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2021, 1, 1) as start_date, DATEFROMPARTS(2021, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2021, 1, 1) and C.end_date >= DATEFROMPARTS(2021, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2021, 1, 1) and C.end_date >= DATEFROMPARTS(2021, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2020, 1, 1) as start_date, DATEFROMPARTS(2020, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2020, 1, 1) and C.end_date >= DATEFROMPARTS(2020, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2020, 1, 1) and C.end_date >= DATEFROMPARTS(2020, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2019, 1, 1) as start_date, DATEFROMPARTS(2019, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2019, 1, 1) and C.end_date >= DATEFROMPARTS(2019, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2019, 1, 1) and C.end_date >= DATEFROMPARTS(2019, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2018, 1, 1) as start_date, DATEFROMPARTS(2018, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2018, 1, 1) and C.end_date >= DATEFROMPARTS(2018, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2018, 1, 1) and C.end_date >= DATEFROMPARTS(2018, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2017, 1, 1) as start_date, DATEFROMPARTS(2017, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2017, 1, 1) and C.end_date >= DATEFROMPARTS(2017, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2017, 1, 1) and C.end_date >= DATEFROMPARTS(2017, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2016, 1, 1) as start_date, DATEFROMPARTS(2016, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2016, 1, 1) and C.end_date >= DATEFROMPARTS(2016, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2016, 1, 1) and C.end_date >= DATEFROMPARTS(2016, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2015, 1, 1) as start_date, DATEFROMPARTS(2015, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2015, 1, 1) and C.end_date >= DATEFROMPARTS(2015, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2015, 1, 1) and C.end_date >= DATEFROMPARTS(2015, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2014, 1, 1) as start_date, DATEFROMPARTS(2014, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2014, 1, 1) and C.end_date >= DATEFROMPARTS(2014, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2014, 1, 1) and C.end_date >= DATEFROMPARTS(2014, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2013, 1, 1) as start_date, DATEFROMPARTS(2013, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2013, 1, 1) and C.end_date >= DATEFROMPARTS(2013, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2013, 1, 1) and C.end_date >= DATEFROMPARTS(2013, 1, 1)
+-- End Observation Period Criteria
+
+UNION ALL
+-- Begin Observation Period Criteria
+select C.person_id, C.observation_period_id as event_id, DATEFROMPARTS(2012, 1, 1) as start_date, DATEFROMPARTS(2012, 1, 1) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+
+from 
+(
+  select op.person_id,op.observation_period_id,op.period_type_concept_id,op.observation_period_start_date as start_date, op.observation_period_end_date as end_date , row_number() over (PARTITION BY op.person_id ORDER BY op.observation_period_start_date) as ordinal
+  FROM @cdm_database_schema.OBSERVATION_PERIOD op
+) C
+
+WHERE C.start_date <= DATEFROMPARTS(2012, 1, 1) and C.end_date >= DATEFROMPARTS(2012, 1, 1)
+AND C.start_date <= DATEFROMPARTS(2012, 1, 1) and C.end_date >= DATEFROMPARTS(2012, 1, 1)
+-- End Observation Period Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,365,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) E
+JOIN @cdm_database_schema.PERSON P ON P.PERSON_ID = E.PERSON_ID
+WHERE (YEAR(E.start_date) - P.year_of_birth >= 0 and YEAR(E.start_date) - P.year_of_birth <= 100) AND P.gender_concept_id in (8532,8507)
+GROUP BY e.person_id, e.event_id
+-- End Demographic Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1072.md b/tests/cohorts/reference_outputs/1072.md
new file mode 100644
index 00000000..1e0205db
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1072.md
@@ -0,0 +1,71 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'OMOPUveitis Anterior uveitis [conditions]'.
+
+2. condition occurrences of 'OMOPUveitis Anterior chamber cell [conditions, measurements]'.
+
+3. measurements of 'OMOPUveitis Anterior chamber cell [conditions, measurements]', numeric value &gt; 0; with value as concept: ">50 cells", "21-50 cells", "11-20 cells", "5-10 cells", "1+", "2+", "3+", "4+", "present + out of ++++", "present ++ out of ++++", "present +++ out of ++++", "++++", "present ++++ out of ++++", "+++", "++", "+", "trace", "trace", "trace", "positive" or "positive".
+
+4. observations of 'OMOPUveitis Anterior chamber cell [conditions, measurements]'.
+
+5. condition occurrences of 'OMOPUveitis Anterior vitreous cell [conditions, measurements]'; having at least 1 condition occurrence of 'OMOPUveitis Other anterior segment inflammation [conditions]', at same visit as 'OMOPUveitis Anterior vitreous cell [conditions, measurements]'.
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. Evidence of cytomegalovirus infection in the eye: a. Positive PCR for cytomegalovirus on aqueous specimen (observations, measurements)  
+
+Entry events with any of the following criteria:
+
+   1. having at least 1 specimen of 'OMOPUveitis CMV AC PCR positive [measurements, observations, specimen]', allow events outside observation period; with any of the following criteria:
+
+      1. having at least 1 measurement of 'OMOPUveitis CMV AC PCR positive [measurements, observations, specimen]', allow events outside observation period.
+      2. having at least 1 observation of 'OMOPUveitis CMV AC PCR positive [measurements, observations, specimen]', allow events outside observation period.
+
+   2. having at least 1 condition occurrence of 'OMOPUveitis CMV Diagnosis [conditions]', allow events outside observation period.
+
+
+#### 2. no retinitis [conditions]
+
+Entry events having at most 0 condition occurrences of 'OMOPUveitis Retinitis exclusion [conditions]', starting between 30 days before and 30 days after cohort entry start date; at same visit as cohort entry.
+
+#### 3. no syphilis [measurements]
+
+Entry events having at most 0 measurements of 'OMOPUveitis Syphilis exclusion [conditions, measurements]', starting between 30 days before and 30 days after cohort entry start date; at same visit as cohort entry; with value as concept: "positive" or "positive".
+
+#### 4. no sarcoidosis [conditions, observations]
+
+Entry events with any of the following criteria:
+
+   1. having at most 0 condition occurrences of 'OMOPUveitis Sarcoidosis exclusion [conditions, observations]', starting between 30 days before and 30 days after cohort entry start date; at same visit as cohort entry.
+   2. having at most 0 observations of 'OMOPUveitis Sarcoidosis exclusion [conditions, observations]', starting between 30 days before and 30 days after cohort entry start date; at same visit as cohort entry; with value as concept: "present", "present", "positive" or "positive".
+
+
+#### 5. no HSV AC PCR [measurements]
+
+Entry events with all of the following criteria:
+
+   1. having at most 0 measurements of 'OMOPUveitis HSV AC PCR exclusion [measurements, specimen]', starting between 30 days before and 30 days after cohort entry start date; at same visit as cohort entry; with value as concept: "positive" or "positive".
+   2. having at most 0 specimens of 'OMOPUveitis HSV AC PCR exclusion [measurements, specimen]', starting between 30 days before and 30 days after cohort entry start date.
+
+
+#### 6. no VZV AC PCR [measurements]
+
+Entry events with all of the following criteria:
+
+   1. having at most 0 measurements of 'OMOPUveitis VZV AC PCR exclusion [measurements, specimen]', starting between 30 days before and 30 days after cohort entry start date; at same visit as cohort entry; with value as concept: "positive" or "positive".
+   2. having at most 0 specimens of 'OMOPUveitis VZV AC PCR exclusion [measurements, specimen]', starting between 30 days before and 30 days after cohort entry start date.
+
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1072.sql b/tests/cohorts/reference_outputs/1072.sql
new file mode 100644
index 00000000..77e060a3
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1072.sql
@@ -0,0 +1,1052 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 1 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (36309671,4143091,4122252,4140156,3049944,40764963,37073281,3035833,4138900,4146128))
+
+) I
+) C UNION ALL 
+SELECT 3 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4132792,4176864,36713131,36713119,36713148,438961,45770924,36717362,441283,440716,36713147,36684732,4274964,36684666,36684792,4104039,36713130,433187,434926,434348,434029,4273853,600624,45757573,4109415,761192,37207891,761191,765069,608799,608800,4335981,37312266,37209447,37209448,4291313,4032140,37207951,3657102,3657101,4221343,761325,761324,761318,439300,439299,3656995,4091179,444446,440634,46269950,4166240,3657042,765063,438422,439731,438751,45772123,761321,761320,761319,432632,36686922,4146105,37207997,3656874,45757732,46273126,603297,4072340,45757712,3657100,4173308,3656958,608988,761323,761322,606435,45770915,4102176,3662325,3656908,3657140,35625724,432908,35625723,35625722,434932,37116567,4211939,4132495,37203959,4182267,4259504,4253620,4211649,4256466,3662324,3662323,4190952,3343020,4081011,4218326))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4132792,4176864,36713131,36713119,36713148,438961,45770924,36717362,441283,440716,36713147,36684732,4274964,36684666,36684792,4104039,36713130,433187,434926,434348,434029,4273853,600624,45757573,4109415,761192,37207891,761191,765069,608799,608800,4335981,37312266,37209447,37209448,4291313,4032140,37207951,3657102,3657101,4221343,761325,761324,761318,439300,439299,3656995,4091179,444446,440634,46269950,4166240,3657042,765063,438422,439731,438751,45772123,761321,761320,761319,432632,36686922,4146105,37207997,3656874,45757732,46273126,603297,4072340,45757712,3657100,4173308,3656958,608988,761323,761322,606435,45770915,4102176,3662325,3656908,3657140,35625724,432908,35625723,35625722,434932,37116567,4211939,4132495,37203959,4182267,4259504,4253620,4211649,4256466,3662324,3662323,4190952,3343020,4081011,4218326))
+UNION
+select distinct cr.concept_id_1 as concept_id
+FROM
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4132792,4176864,36713131,36713119,36713148,438961,45770924,36717362,441283,440716,36713147,36684732,4274964,36684666,36684792,4104039,36713130,433187,434926,434348,434029,4273853,600624,45757573,4109415,761192,37207891,761191,765069,608799,608800,4335981,37312266,37209447,37209448,4291313,4032140,37207951,3657102,3657101,4221343,761325,761324,761318,439300,439299,3656995,4091179,444446,440634,46269950,4166240,3657042,765063,438422,439731,438751,45772123,761321,761320,761319,432632,36686922,4146105,37207997,3656874,45757732,46273126,603297,4072340,45757712,3657100,4173308,3656958,608988,761323,761322,606435,45770915,4102176,3662325,3656908,3657140,35625724,432908,35625723,35625722,434932,37116567,4211939,4132495,37203959,4182267,4259504,4253620,4211649,4256466,3662324,3662323,4190952,3343020,4081011,4218326))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4132792,4176864,36713131,36713119,36713148,438961,45770924,36717362,441283,440716,36713147,36684732,4274964,36684666,36684792,4104039,36713130,433187,434926,434348,434029,4273853,600624,45757573,4109415,761192,37207891,761191,765069,608799,608800,4335981,37312266,37209447,37209448,4291313,4032140,37207951,3657102,3657101,4221343,761325,761324,761318,439300,439299,3656995,4091179,444446,440634,46269950,4166240,3657042,765063,438422,439731,438751,45772123,761321,761320,761319,432632,36686922,4146105,37207997,3656874,45757732,46273126,603297,4072340,45757712,3657100,4173308,3656958,608988,761323,761322,606435,45770915,4102176,3662325,3656908,3657140,35625724,432908,35625723,35625722,434932,37116567,4211939,4132495,37203959,4182267,4259504,4253620,4211649,4256466,3662324,3662323,4190952,3343020,4081011,4218326))
+
+) C
+join @vocabulary_database_schema.concept_relationship cr on C.concept_id = cr.concept_id_2 and cr.relationship_id = 'Maps to' and cr.invalid_reason IS NULL
+
+) I
+) C UNION ALL 
+SELECT 4 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4081011,21491750,21491751,36309475,36310085,36310741,36309345,3023610,3019906,37022902,37053902))
+
+) I
+) C UNION ALL 
+SELECT 5 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4080669,4081010,4148212,3657143,37208236,37208235,4160509,440104,439011,4334756))
+
+) I
+) C UNION ALL 
+SELECT 6 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4161546,4183040,439014,438411,761352,4265035,761351,761350,761349,761348,3657772,3657771,3657770,37312551,4212319,4104214,4104213,4211820,3657843,3657842,3657841,4234762,4228115,433757,437850,4109410,433765,433762,434274,4152407,4152406,4322865,3657796,3655858,3655856,4338890,3655855,44783667,3655854,3655853,44783669,44783668,4230371,4042904,4198123,4198124,4195053,4195054,3655301,3655813,4224242,4319477,4319476,4187784,4186870,373963,4219534,373972,4213393,608987,608986,4195992,378078,436967,4214437,4330151,434927,4259500,4259502,439017,36676800,40480902,4233536,46273984,37309749,4212083,380721,4335988,4215673,4213114,4090114,4221187,35624273,435541,3657060,4334872,4334873,37207894,4174680,36684637,434033,440715,4102049,4102047,37207954,37311893,4167058,3663239,36684701,439736,4162559,4087293,3662320,434638,4213641,3662329,3662328,438740,761311,3662319,3662318,3655660,443867,3657173,37208019,761315,761314,761313,44783425,432621,761312,44783424,4215212,432630,36684767,432631,4253619,761343,761342,37208000,37208014,4307553,4338889,37310633,44783671,4108960,4150996,4150995,4196116,1340301,4109407,4338888,438971,4259505,4079919,4217692,4152067,4216286,4213657,4253622))
+
+) I
+) C UNION ALL 
+SELECT 7 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (3016587,3022622,3039384,3041149,3010487,3009946,40766194,3018457,3015378,3032397,3030785,3043653,3049422,3007258,3023161,42869548,3007932,3045488,3019539,3010055,4305738,3044651,3031591,3021604,3042468,3019832,3005626,3051954,3011981,37051410,37024028,1617714,37053343,3048453,3024286,3014044,40760151,3040021,3050642,37069707,3029998,3030893,37046128,3040742,3004772,1617619,3029371,1617345,37056367,3015923,3004786,3005900,3039946,3020488,3011520,37064901,3028061,3017178,37035328,1616997,3019603,4247368,1617166,1618180,37076241,37051934,3051627,43533776,40771087,37050546,3019428,3049377,1616824,1616562,3029634,37063672,1616440,3001356,37062153,1616967,3002446,1617505,1618534,37044896,3006157,1618170,1991140,3052315,40761135,3046248,42868435,3019960))
+
+) I
+) C UNION ALL 
+SELECT 8 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4130903,4163983,4322821,4281245,4081069,4338094))
+
+) I
+) C UNION ALL 
+SELECT 10 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4082268,4317991,4082269,3019458,3004523))
+
+) I
+) C UNION ALL 
+SELECT 12 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4122252,37394108,4163737))
+
+) I
+) C UNION ALL 
+SELECT 13 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4122252,44808404,4046130))
+
+) I
+) C UNION ALL 
+SELECT 15 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (35205780,35205781,440032))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (35205780,35205781,440032))
+UNION
+select distinct cr.concept_id_1 as concept_id
+FROM
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (35205780,35205781,440032))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (35205780,35205781,440032))
+
+) C
+join @vocabulary_database_schema.concept_relationship cr on C.concept_id = cr.concept_id_2 and cr.relationship_id = 'Maps to' and cr.invalid_reason IS NULL
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Measurement Criteria
+select C.person_id, C.measurement_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select m.person_id,m.measurement_id,m.measurement_concept_id,m.visit_occurrence_id,m.value_as_number,m.range_high,m.range_low,m.value_as_concept_id,m.measurement_date as start_date, DATEADD(day,1,m.measurement_date) as end_date 
+  FROM @cdm_database_schema.MEASUREMENT m
+JOIN #Codesets cs on (m.measurement_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+WHERE C.value_as_number > 0.0000
+AND C.value_as_concept_id in (36309345,36310085,36309475,36310741,45878548,45881916,45876467,45881623,3459354,3474574,3437429,4126674,3470980,4125547,4126673,4123508,9192,3472281,45881796,9191,45884084)
+-- End Measurement Criteria
+
+UNION ALL
+-- Begin Observation Criteria
+select C.person_id, C.observation_id as event_id, C.start_date, C.END_DATE,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select o.person_id,o.observation_id,o.observation_concept_id,o.visit_occurrence_id,o.value_as_number,o.observation_date as start_date, DATEADD(day,1,o.observation_date) as end_date 
+  FROM @cdm_database_schema.OBSERVATION o
+JOIN #Codesets cs on (o.observation_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Observation Criteria
+
+UNION ALL
+select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 10)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 10)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 10)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 5)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.visit_occurrence_id = P.visit_occurrence_id ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) > 0
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Specimen Criteria
+select C.person_id, C.specimen_id as event_id, C.specimen_date as start_date, DATEADD(d,1,C.specimen_date) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.specimen_date as sort_date
+from 
+(
+  select s.* 
+  FROM @cdm_database_schema.SPECIMEN s
+where s.specimen_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 1)
+) C
+
+
+-- End Specimen Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Specimen Criteria
+select C.person_id, C.specimen_id as event_id, C.specimen_date as start_date, DATEADD(d,1,C.specimen_date) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.specimen_date as sort_date
+from 
+(
+  select s.* 
+  FROM @cdm_database_schema.SPECIMEN s
+where s.specimen_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 1)
+) C
+
+
+-- End Specimen Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Specimen Criteria
+select C.person_id, C.specimen_id as event_id, C.specimen_date as start_date, DATEADD(d,1,C.specimen_date) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.specimen_date as sort_date
+from 
+(
+  select s.* 
+  FROM @cdm_database_schema.SPECIMEN s
+where s.specimen_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 1)
+) C
+
+
+-- End Specimen Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Measurement Criteria
+select C.person_id, C.measurement_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select m.person_id,m.measurement_id,m.measurement_concept_id,m.visit_occurrence_id,m.value_as_number,m.range_high,m.range_low,m.measurement_date as start_date, DATEADD(day,1,m.measurement_date) as end_date 
+  FROM @cdm_database_schema.MEASUREMENT m
+JOIN #Codesets cs on (m.measurement_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Measurement Criteria
+
+) A on A.person_id = P.person_id  ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Specimen Criteria
+select C.person_id, C.specimen_id as event_id, C.specimen_date as start_date, DATEADD(d,1,C.specimen_date) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.specimen_date as sort_date
+from 
+(
+  select s.* 
+  FROM @cdm_database_schema.SPECIMEN s
+where s.specimen_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 1)
+) C
+
+
+-- End Specimen Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Observation Criteria
+select C.person_id, C.observation_id as event_id, C.start_date, C.END_DATE,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select o.person_id,o.observation_id,o.observation_concept_id,o.visit_occurrence_id,o.value_as_number,o.observation_date as start_date, DATEADD(day,1,o.observation_date) as end_date 
+  FROM @cdm_database_schema.OBSERVATION o
+JOIN #Codesets cs on (o.observation_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Observation Criteria
+
+) A on A.person_id = P.person_id  ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) > 0
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 15)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) > 0
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 1 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_1
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 6)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,30,P.START_DATE) AND A.visit_occurrence_id = P.visit_occurrence_id ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) <= 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 2 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_2
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Measurement Criteria
+select C.person_id, C.measurement_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select m.person_id,m.measurement_id,m.measurement_concept_id,m.visit_occurrence_id,m.value_as_number,m.range_high,m.range_low,m.value_as_concept_id,m.measurement_date as start_date, DATEADD(day,1,m.measurement_date) as end_date 
+  FROM @cdm_database_schema.MEASUREMENT m
+JOIN #Codesets cs on (m.measurement_concept_id = cs.concept_id and cs.codeset_id = 7)
+) C
+
+WHERE C.value_as_concept_id in (9191,45884084)
+-- End Measurement Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,30,P.START_DATE) AND A.visit_occurrence_id = P.visit_occurrence_id ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) <= 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 3 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_3
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 8)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,30,P.START_DATE) AND A.visit_occurrence_id = P.visit_occurrence_id ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) <= 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Observation Criteria
+select C.person_id, C.observation_id as event_id, C.start_date, C.END_DATE,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select o.person_id,o.observation_id,o.observation_concept_id,o.visit_occurrence_id,o.value_as_number,o.value_as_concept_id,o.observation_date as start_date, DATEADD(day,1,o.observation_date) as end_date 
+  FROM @cdm_database_schema.OBSERVATION o
+JOIN #Codesets cs on (o.observation_concept_id = cs.concept_id and cs.codeset_id = 8)
+) C
+
+WHERE C.value_as_concept_id in (4181412,45879438,45884084,9191)
+-- End Observation Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,30,P.START_DATE) AND A.visit_occurrence_id = P.visit_occurrence_id ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) <= 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) > 0
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 4 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_4
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Measurement Criteria
+select C.person_id, C.measurement_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select m.person_id,m.measurement_id,m.measurement_concept_id,m.visit_occurrence_id,m.value_as_number,m.range_high,m.range_low,m.value_as_concept_id,m.measurement_date as start_date, DATEADD(day,1,m.measurement_date) as end_date 
+  FROM @cdm_database_schema.MEASUREMENT m
+JOIN #Codesets cs on (m.measurement_concept_id = cs.concept_id and cs.codeset_id = 12)
+) C
+
+WHERE C.value_as_concept_id in (9191,45884084)
+-- End Measurement Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,30,P.START_DATE) AND A.visit_occurrence_id = P.visit_occurrence_id ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) <= 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Specimen Criteria
+select C.person_id, C.specimen_id as event_id, C.specimen_date as start_date, DATEADD(d,1,C.specimen_date) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.specimen_date as sort_date
+from 
+(
+  select s.* 
+  FROM @cdm_database_schema.SPECIMEN s
+where s.specimen_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 12)
+) C
+
+
+-- End Specimen Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,30,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) <= 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 2
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 5 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_5
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Measurement Criteria
+select C.person_id, C.measurement_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select m.person_id,m.measurement_id,m.measurement_concept_id,m.visit_occurrence_id,m.value_as_number,m.range_high,m.range_low,m.value_as_concept_id,m.measurement_date as start_date, DATEADD(day,1,m.measurement_date) as end_date 
+  FROM @cdm_database_schema.MEASUREMENT m
+JOIN #Codesets cs on (m.measurement_concept_id = cs.concept_id and cs.codeset_id = 13)
+) C
+
+WHERE C.value_as_concept_id in (45884084,9191)
+-- End Measurement Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,30,P.START_DATE) AND A.visit_occurrence_id = P.visit_occurrence_id ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) <= 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Specimen Criteria
+select C.person_id, C.specimen_id as event_id, C.specimen_date as start_date, DATEADD(d,1,C.specimen_date) as end_date,
+       CAST(NULL as bigint) as visit_occurrence_id, C.specimen_date as sort_date
+from 
+(
+  select s.* 
+  FROM @cdm_database_schema.SPECIMEN s
+where s.specimen_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 13)
+) C
+
+
+-- End Specimen Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,30,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) <= 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 2
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_1
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_2
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_3
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_4
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_5) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+TRUNCATE TABLE #Inclusion_1;
+DROP TABLE #Inclusion_1;
+
+TRUNCATE TABLE #Inclusion_2;
+DROP TABLE #Inclusion_2;
+
+TRUNCATE TABLE #Inclusion_3;
+DROP TABLE #Inclusion_3;
+
+TRUNCATE TABLE #Inclusion_4;
+DROP TABLE #Inclusion_4;
+
+TRUNCATE TABLE #Inclusion_5;
+DROP TABLE #Inclusion_5;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{6 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),6)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 6 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence UNION ALL SELECT CAST(1 as int) as rule_sequence UNION ALL SELECT CAST(2 as int) as rule_sequence UNION ALL SELECT CAST(3 as int) as rule_sequence UNION ALL SELECT CAST(4 as int) as rule_sequence UNION ALL SELECT CAST(5 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1073.md b/tests/cohorts/reference_outputs/1073.md
new file mode 100644
index 00000000..f0a22cf5
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1073.md
@@ -0,0 +1,23 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Serious Infections '; with any of the following criteria:
+
+   1. having at least 1 visit occurrence of 'Inpatient or ER visit', starting anytime on or before 'Serious Infections ' start date and ending between 0 days before and all days after 'Serious Infections ' start date.
+   2. having at least 1 death of any form, starting between 0 days before and 30 days after 'Serious Infections ' start date.
+
+
+2. condition occurrences of 'Opportunistic Infections with tuberculosis'.
+
+3. condition occurrences of 'Other infections of interest'.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 30 days.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 90 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1073.sql b/tests/cohorts/reference_outputs/1073.sql
new file mode 100644
index 00000000..2a34387e
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1073.sql
@@ -0,0 +1,479 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 8 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9203,9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9203,9201))
+
+) I
+) C UNION ALL 
+SELECT 12 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4326255,193522,4326601,4050869,132736,436339,435613,193814,195453,435318,4345447,378143,441589,4101468,256036,45770836,76034,195317,4231983,4262720,434866,4027461,435785,141663,373412,438350,255848,444099,36712850,192670,433957,253954,198199,196328,132797,196236,195461,4091167,4206579))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4326255,193522,4326601,4050869,132736,436339,435613,193814,195453,435318,4345447,378143,441589,4101468,256036,45770836,76034,195317,4231983,4262720,434866,4027461,435785,141663,373412,438350,255848,444099,36712850,192670,433957,253954,198199,196328,132797,196236,195461,4091167,4206579))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4324289,4176250,4094215,192674,4068969,443406,4098889,195306,4273378,42872891,4169568))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4324289,4176250,4094215,192674,4068969,443406,4098889,195306,4273378,42872891,4169568))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 13 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4087776,434281,440330,433146,433415,260041,28974,260034,437217,440035,4329093,4029319,4205455,45757252,4051338,443943,138682,4045976,45770836,437489,440323,436336,440329,433134,436040,438077,4097550,438059,440631,4174281,373412,438350,256909,433957,443741,434859,434557,4211951))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4087776,434281,440330,433146,433415,260041,28974,260034,437217,440035,4329093,4029319,4205455,45757252,4051338,443943,138682,4045976,45770836,437489,440323,436336,440329,433134,436040,438077,4097550,438059,440631,4174281,373412,438350,256909,433957,443741,434859,434557,4211951))
+
+) I
+) C UNION ALL 
+SELECT 14 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (192549,43530817,444249,436020,437899,435563,198978,4001819,374947,4115044,374925,4307774,4051332,133002,135350,4001282,141662,141944,141666,133570,4087776,4280571,196735,4158412,257011,258453,4331815,194560,76022,437936,4188108,37108588,192259,434281,439730,4167984,4196020,4197765,193402,441500,436339,4094504,438064,432545,436091,258458,257315,442574,4200680,4150302,4084966,4199600,372247,433968,260041,29735,133414,28974,80951,198363,4212079,4069115,444418,200171,438066,72245,4126282,4127408,437221,4344638,4021397,260730,201503,193132,135722,380407,198671,4344376,373200,4110056,134735,137077,46271951,134454,4122186,134141,46270395,137367,260034,4096917,377886,4269363,199872,375290,42537043,4307981,193688,437217,433401,4241576,372241,260134,432310,440035,4276193,200017,140654,137213,135473,137497,432251,435742,443739,432250,4347525,4154415,434570,4346971,374352,4238808,261883,198334,443462,199718,197223,4345206,4345354,138346,135745,199067,4161947,4220002,4238732,4324705,198822,4106878,132391,4071026,759835,436188,37396146,79732,77340,81357,80778,74415,437202,45757250,199726,260754,437538,194087,378078,433134,373972,443204,140480,4160460,4340497,40480515,43021258,43021283,40478938,40481816,4200532,434872,4309542,441786,443535,440320,4157605,432249,4050438,436180,4176170,72410,40483549,40481969,40481970,40480731,40485376,4067312,201093,4159147,4063038,4060295,4060296,198337,4180167,192964,4214438,440716,4262590,40481620,40483813,4177365,40481619,37117135,4180873,40483847,4119460,76508,4001126,4001124,381859,443410,441799,260936,134284,137441,192815,195462,198678,4214519,438077,4137770,4346970,4092828,4112820,443600,4141757,440638,440473,438067,437881,443291,436621,440940,434559,376422,440631,436900,440431,433701,133566,4047937,375738,4030846,201792,194685,4174281,137425,136575,201136,140648,432248,141663,133853,138847,137648,140191,134137,195901,133003,133296,4001298,373412,378753,195460,137057,40480261,436897,132835,139737,257778,440328,258785,438350,254066,257908,260430,258180,4299862,253790,46270027,46274035,252351,261324,261053,259048,437474,4308715,36712821,4153877,199863,435457,256909,432541,433405,260026,4245409,443741,258684,256622,253954,437943,432621,376712,198189,198199,133547,72988,4188413,73838,81099,78829,80177,36715557,4174994,4323342,45771090,261774,196328,141213,4030847,312823,132797,40486631,40486629,40487064,40493038,40486059,40491960,40491961,40493415,40487059,40489907,40489908,40489910,40489912,40487616,196236,37394658,440647,201780,434575,4009329,195461,435459,259852,132392,437779,28060,4212727,4143698,4120302,4284844,73068,77156,436285,441170,4077081,80482,318689,373962,4224968,4160328,4084964,80946,134865,4163280,133141,201214,4090114,194871,434557,198674,374267,134851,260630,256018,260315,4153291,192819,4181583,197919,4146482,81902,78073,440158,440029,433960,132834,4154776,4344398))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (132797,440029))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 12)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 12)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 12)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 8)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,0,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 12)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Death Criteria
+select C.person_id, C.person_id as event_id, C.start_date, c.end_date,
+  CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select d.person_id,d.cause_concept_id,d.death_date as start_date, DATEADD(day,1,d.death_date) as end_date
+  FROM @cdm_database_schema.DEATH d
+
+) C
+
+
+-- End Death Criteria
+
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= DATEADD(day,30,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) > 0
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+UNION ALL
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 13)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 14)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,30,start_date) > op_end_date then op_end_date else DATEADD(day,30,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 90, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,90,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1074.md b/tests/cohorts/reference_outputs/1074.md
new file mode 100644
index 00000000..a3655176
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1074.md
@@ -0,0 +1,21 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Serious Infections '.
+
+Restrict entry events to with any of the following criteria:
+
+   1. having at least 1 visit occurrence of 'Inpatient or ER visit', starting anytime on or before cohort entry start date and ending between 0 days before and all days after cohort entry start date.
+   2. having at least 1 death of any form, starting between 0 days before and 30 days after cohort entry start date.
+  
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 30 days.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 90 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1074.sql b/tests/cohorts/reference_outputs/1074.sql
new file mode 100644
index 00000000..367d266c
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1074.sql
@@ -0,0 +1,463 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 8 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9203,9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9203,9201))
+
+) I
+) C UNION ALL 
+SELECT 9 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4326255,193522,4326601,4050869,132736,436339,435613,193814,195453,435318,4345447,378143,441589,4101468,256036,45770836,76034,195317,4231983,4262720,434866,4027461,435785,141663,373412,438350,255848,444099,36712850,192670,433957,253954,198199,196328,132797,196236,195461,4091167,4206579))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4326255,193522,4326601,4050869,132736,436339,435613,193814,195453,435318,4345447,378143,441589,4101468,256036,45770836,76034,195317,4231983,4262720,434866,4027461,435785,141663,373412,438350,255848,444099,36712850,192670,433957,253954,198199,196328,132797,196236,195461,4091167,4206579))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4324289,4176250,4094215,192674,4068969,443406,4098889,195306,4273378,42872891,4169568))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4324289,4176250,4094215,192674,4068969,443406,4098889,195306,4273378,42872891,4169568))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 9)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 9)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 9)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 8)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,0,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 9)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) P
+JOIN (
+  -- Begin Death Criteria
+select C.person_id, C.person_id as event_id, C.start_date, c.end_date,
+  CAST(NULL as bigint) as visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select d.person_id,d.cause_concept_id,d.death_date as start_date, DATEADD(day,1,d.death_date) as end_date
+  FROM @cdm_database_schema.DEATH d
+
+) C
+
+
+-- End Death Criteria
+
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= DATEADD(day,30,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) > 0
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,30,start_date) > op_end_date then op_end_date else DATEADD(day,30,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 90, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,90,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1075.md b/tests/cohorts/reference_outputs/1075.md
new file mode 100644
index 00000000..0cc71bbe
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1075.md
@@ -0,0 +1,21 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Narcolepsy'.
+
+### Inclusion Criteria
+
+#### 1. has no events in prior 'clean window' - 365 days
+
+Entry events having no condition occurrences of 'Narcolepsy', starting in the 365 days prior to cohort entry start date; allow events outside observation period.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1075.sql b/tests/cohorts/reference_outputs/1075.sql
new file mode 100644
index 00000000..2a91cb5d
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1075.sql
@@ -0,0 +1,352 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (437854,436100))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (437854,436100))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1076.md b/tests/cohorts/reference_outputs/1076.md
new file mode 100644
index 00000000..a8d0ce3a
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1076.md
@@ -0,0 +1,21 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Anaphylaxis or Anaphylactic shock due to serum'.
+
+### Inclusion Criteria
+
+#### 1. has no events in prior 'clean window' - 30 days
+
+Entry events having no condition occurrences of 'Anaphylaxis or Anaphylactic shock due to serum', starting in the 30 days prior to cohort entry start date; allow events outside observation period.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1076.sql b/tests/cohorts/reference_outputs/1076.sql
new file mode 100644
index 00000000..d17d1280
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1076.sql
@@ -0,0 +1,352 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (441202,442038))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (442038))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1077.md b/tests/cohorts/reference_outputs/1077.md
new file mode 100644
index 00000000..30ee3552
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1077.md
@@ -0,0 +1,21 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Anaphylaxis broad'.
+
+### Inclusion Criteria
+
+#### 1. has no events in prior 'clean window' - 30 days
+
+Entry events having no condition occurrences of 'Anaphylaxis broad', starting in the 30 days prior to cohort entry start date; allow events outside observation period.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1077.sql b/tests/cohorts/reference_outputs/1077.sql
new file mode 100644
index 00000000..767cbc31
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1077.sql
@@ -0,0 +1,363 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4032658,4084639,4221182,4193788,441202,42536383))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4032658,4084639,4193788,42536383))
+
+) I
+) C UNION ALL 
+SELECT 1 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9201,9203))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9201,9203))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-30,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1078.md b/tests/cohorts/reference_outputs/1078.md
new file mode 100644
index 00000000..e55c51e5
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1078.md
@@ -0,0 +1,21 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Bell's palsy'.
+
+### Inclusion Criteria
+
+#### 1. has no events in prior 'clean window' 183 days
+
+Entry events having no condition occurrences of 'Bell's palsy', starting in the 183 days prior to cohort entry start date; allow events outside observation period.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1078.sql b/tests/cohorts/reference_outputs/1078.sql
new file mode 100644
index 00000000..9b5c2744
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1078.sql
@@ -0,0 +1,363 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4091559))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4091559))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4048018,36716396))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4048018,36716396))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-183,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1079.md b/tests/cohorts/reference_outputs/1079.md
new file mode 100644
index 00000000..fdb33319
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1079.md
@@ -0,0 +1,23 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Encephalomyelitis'.
+
+Restrict entry events to having at least 1 visit occurrence of 'Inpatient or Inpatient/ER visit', starting anytime on or before cohort entry start date and ending between 0 days before and all days after cohort entry start date.  
+
+### Inclusion Criteria
+
+#### 1. has no events in prior 'clean window' 183 days
+
+Entry events having no condition occurrences of 'Encephalomyelitis', starting in the 183 days prior to cohort entry start date; allow events outside observation period; having at least 1 visit occurrence of 'Inpatient or Inpatient/ER visit', starting anytime on or before 'Encephalomyelitis' start date and ending between 0 days before and all days after 'Encephalomyelitis' start date.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1079.sql b/tests/cohorts/reference_outputs/1079.sql
new file mode 100644
index 00000000..09585465
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1079.sql
@@ -0,0 +1,531 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 1 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9201))
+
+) I
+) C UNION ALL 
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (372615,378143,4147498,373189,4190307,379792,4330496,138965))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (372615,4147498,373189,379792,4330496))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,0,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,0,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-183,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1080.md b/tests/cohorts/reference_outputs/1080.md
new file mode 100644
index 00000000..5f672a5e
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1080.md
@@ -0,0 +1,23 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Guillian-Barre syndrome'.
+
+Restrict entry events to having at least 1 visit occurrence of 'Inpatient or Inpatient/ER visit', starting anytime on or before cohort entry start date and ending between 0 days before and all days after cohort entry start date.  
+
+### Inclusion Criteria
+
+#### 1. has no events in prior 'clean window'
+
+Entry events having no condition occurrences of 'Guillian-Barre syndrome', starting in the 365 days prior to cohort entry start date; allow events outside observation period; having at least 1 visit occurrence of 'Inpatient or Inpatient/ER visit', starting anytime on or before 'Guillian-Barre syndrome' start date and ending between 0 days before and all days after 'Guillian-Barre syndrome' start date.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1080.sql b/tests/cohorts/reference_outputs/1080.sql
new file mode 100644
index 00000000..53af1a2d
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1080.sql
@@ -0,0 +1,531 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (374925,4164770,4070552))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (374925,4164770,4070552))
+
+) I
+) C UNION ALL 
+SELECT 1 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9201))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,0,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,0,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1081.md b/tests/cohorts/reference_outputs/1081.md
new file mode 100644
index 00000000..d32f4f61
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1081.md
@@ -0,0 +1,23 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Myocardial Infarction and complication'.
+
+Restrict entry events to having at least 1 visit occurrence of 'Inpatient or Inpatient/ER visit', starting anytime on or before cohort entry start date and ending between 0 days before and all days after cohort entry start date.  
+
+### Inclusion Criteria
+
+#### 1. has no events in prior 'clean window' - 365 days
+
+Entry events having no condition occurrences of 'Myocardial Infarction and complication', starting in the 365 days prior to cohort entry start date; allow events outside observation period; having at least 1 visit occurrence of 'Inpatient or Inpatient/ER visit', starting anytime on or before 'Myocardial Infarction and complication' start date and ending between 0 days before and all days after 'Myocardial Infarction and complication' start date.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1081.sql b/tests/cohorts/reference_outputs/1081.sql
new file mode 100644
index 00000000..384f9a5b
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1081.sql
@@ -0,0 +1,542 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 1 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9201))
+
+) I
+) C UNION ALL 
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4329847,4108680,4108678,438172,4124687,45766212,37109910,37109911,37109912))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4329847,4108680,4108678,438172,4124687,45766212,37109910,37109911,37109912))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (314666))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (314666))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,0,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,0,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1082.md b/tests/cohorts/reference_outputs/1082.md
new file mode 100644
index 00000000..a2adb3be
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1082.md
@@ -0,0 +1,21 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Myocarditis Pericarditis'.
+
+### Inclusion Criteria
+
+#### 1. has no events in prior 'clean window' - 365 days
+
+Entry events having no condition occurrences of 'Myocarditis Pericarditis', starting in the 365 days prior to cohort entry start date; allow events outside observation period.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1082.sql b/tests/cohorts/reference_outputs/1082.sql
new file mode 100644
index 00000000..4ac0d530
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1082.sql
@@ -0,0 +1,352 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4289908,4138837,314383,4149913,318072,44782774))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4289908,4138837,314383,4149913,318072,44782774))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1083.md b/tests/cohorts/reference_outputs/1083.md
new file mode 100644
index 00000000..59af5bee
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1083.md
@@ -0,0 +1,21 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Idiopathic and Immune Thrombocytopenia'.
+
+### Inclusion Criteria
+
+#### 1. has no events in prior 'clean window' - 365 days
+
+Entry events having no condition occurrences of 'Idiopathic and Immune Thrombocytopenia', starting in the 365 days prior to cohort entry start date; allow events outside observation period.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1083.sql b/tests/cohorts/reference_outputs/1083.sql
new file mode 100644
index 00000000..54ccfb53
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1083.sql
@@ -0,0 +1,352 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4159749,4103532,4119134))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4159749,4103532,4119134))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1084.md b/tests/cohorts/reference_outputs/1084.md
new file mode 100644
index 00000000..2d51b82a
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1084.md
@@ -0,0 +1,21 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Disseminated intravascular coagulation'.
+
+### Inclusion Criteria
+
+#### 1. has no events in prior 'clean window' - 365 days
+
+Entry events having no condition occurrences of 'Disseminated intravascular coagulation', starting in the 365 days prior to cohort entry start date; allow events outside observation period.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1084.sql b/tests/cohorts/reference_outputs/1084.sql
new file mode 100644
index 00000000..e6aaaf8b
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1084.sql
@@ -0,0 +1,363 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 1 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9201))
+
+) I
+) C UNION ALL 
+SELECT 3 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (436093))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (436093))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1085.md b/tests/cohorts/reference_outputs/1085.md
new file mode 100644
index 00000000..53ec4f4f
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1085.md
@@ -0,0 +1,21 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Appendicitis'.
+
+### Inclusion Criteria
+
+#### 1. has no events in prior 'clean window' - 365 days
+
+Entry events having no condition occurrences of 'Appendicitis', starting in the 365 days prior to cohort entry start date; allow events outside observation period.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1085.sql b/tests/cohorts/reference_outputs/1085.sql
new file mode 100644
index 00000000..3d63bc17
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1085.sql
@@ -0,0 +1,363 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 1 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9201))
+
+) I
+) C UNION ALL 
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (440448))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (440448))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1086.md b/tests/cohorts/reference_outputs/1086.md
new file mode 100644
index 00000000..029ecede
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1086.md
@@ -0,0 +1,21 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Transverse Myelitis'.
+
+### Inclusion Criteria
+
+#### 1. has no events in prior 'clean window' - 365 days
+
+Entry events having no condition occurrences of 'Transverse Myelitis', starting in the 365 days prior to cohort entry start date; allow events outside observation period.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1086.sql b/tests/cohorts/reference_outputs/1086.sql
new file mode 100644
index 00000000..5a5abf46
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1086.sql
@@ -0,0 +1,352 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 4 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (443904))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (443904))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1087.md b/tests/cohorts/reference_outputs/1087.md
new file mode 100644
index 00000000..7cc1bd2d
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1087.md
@@ -0,0 +1,23 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Hemorrhagic stroke subarachnoid intracerebral subdural'.
+
+Restrict entry events to having at least 1 visit occurrence of 'Inpatient or Inpatient/ER visit', starting anytime on or before cohort entry start date and ending between 0 days before and all days after cohort entry start date.  
+
+### Inclusion Criteria
+
+#### 1. has no events in prior 'clean window' - 365 days
+
+Entry events having no condition occurrences of 'Hemorrhagic stroke subarachnoid intracerebral subdural', starting in the 365 days prior to cohort entry start date; allow events outside observation period; having at least 1 visit occurrence of 'Inpatient or Inpatient/ER visit', starting anytime on or before 'Hemorrhagic stroke subarachnoid intracerebral subdural' start date and ending between 0 days before and all days after 'Hemorrhagic stroke subarachnoid intracerebral subdural' start date.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1087.sql b/tests/cohorts/reference_outputs/1087.sql
new file mode 100644
index 00000000..f0343e61
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1087.sql
@@ -0,0 +1,537 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9201))
+
+) I
+) C UNION ALL 
+SELECT 4 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (439847,432923,4148906,4144154,4111709,42535426,43530728,43530727))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (376713,4174299,36716544,4345688))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4174299,36716544,4345688))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,0,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 4)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,0,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1088.md b/tests/cohorts/reference_outputs/1088.md
new file mode 100644
index 00000000..7f68f62d
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1088.md
@@ -0,0 +1,21 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Deep Vein Thrombosis broad'.
+
+### Inclusion Criteria
+
+#### 1. has no events in prior 'clean window' - 365 days
+
+Entry events having no condition occurrences of 'Deep Vein Thrombosis broad', starting in the 365 days prior to cohort entry start date; allow events outside observation period.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1088.sql b/tests/cohorts/reference_outputs/1088.sql
new file mode 100644
index 00000000..3e67710f
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1088.sql
@@ -0,0 +1,363 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 1 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4133004,4149782,444247,40481089,435565,193512,44782752,44782751))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4133004,40481089,435565,193512,44782752,44782751))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (77310,36712971,435887,438820,4179911))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (77310,36712971,435887,438820))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1089.md b/tests/cohorts/reference_outputs/1089.md
new file mode 100644
index 00000000..09677605
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1089.md
@@ -0,0 +1,23 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'cerebral infarction FDA conceptset proxy'.
+
+Restrict entry events to having at least 1 visit occurrence of 'Inpatient or Inpatient/ER visit', starting anytime on or before cohort entry start date and ending between 0 days before and all days after cohort entry start date.  
+
+### Inclusion Criteria
+
+#### 1. has no events in prior 'clean window' - 365 days
+
+Entry events having no condition occurrences of 'cerebral infarction FDA conceptset proxy', starting in the 365 days prior to cohort entry start date; allow events outside observation period; having at least 1 visit occurrence of 'Inpatient or Inpatient/ER visit', starting anytime on or before 'cerebral infarction FDA conceptset proxy' start date and ending between 0 days before and all days after 'cerebral infarction FDA conceptset proxy' start date.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1089.sql b/tests/cohorts/reference_outputs/1089.sql
new file mode 100644
index 00000000..42526673
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1089.sql
@@ -0,0 +1,542 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9201))
+
+) I
+) C UNION ALL 
+SELECT 3 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (443454))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (443454))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40479572,4046360))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40479572,4046360))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,0,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+
+-- End Condition Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,0,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1090.md b/tests/cohorts/reference_outputs/1090.md
new file mode 100644
index 00000000..6dbce039
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1090.md
@@ -0,0 +1,21 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Pulmonary Embolism FDA concept proxy'.
+
+### Inclusion Criteria
+
+#### 1. has no events in prior 'clean window' - 365 days
+
+Entry events having no condition occurrences of 'Pulmonary Embolism FDA concept proxy', starting in the 365 days prior to cohort entry start date; allow events outside observation period.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1090.sql b/tests/cohorts/reference_outputs/1090.sql
new file mode 100644
index 00000000..dcec93ee
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1090.sql
@@ -0,0 +1,363 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 3 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (254662,36713113,440417))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (254662,36713113,440417))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (435616,435887,196715,4062269,442055,433832,435026,440477,318137,199837,438820,4235812,195294,4187790,444247,44782732,40479606))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (435616,435887,196715,4062269,442055,433832,435026,440477,318137,199837,438820,4235812,195294,4187790,444247,44782732,40479606))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{1 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),1)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 1 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1091.md b/tests/cohorts/reference_outputs/1091.md
new file mode 100644
index 00000000..3e9030d3
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1091.md
@@ -0,0 +1,72 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. condition occurrences of 'cerebral venous sinus thrombosis (CVST narrow)'.
+
+2. condition occurrences of 'Deep Vein Thrombosis (narrow)'.
+
+3. condition occurrences of 'Pulmonary Embolism'.
+
+4. condition occurrences of 'Intraabdominal thrombosis - hepatic thrombosis '.
+
+5. condition occurrences of 'Intraabdominal- splenic infacrtion and thrombosis '.
+
+6. condition occurrences of 'Portal Vein thrombosis (include visceral, mesenteric)'.
+
+7. condition occurrences of 'other Intraabdominal thrombosis'.
+
+8. condition occurrences of 'Intestinal infarction'.
+
+9. condition occurrences of 'Cerebral infarction'.
+
+10. condition occurrences of 'Hemorrhagic stroke'.
+
+11. condition occurrences of 'Myocardial Infarction and complication'.
+
+### Inclusion Criteria
+
+#### 1. Thrombocytopenia within 7 days of thrombosis with no such event in the past 90 days (clean window) 
+
+Entry events with all of the following criteria:
+
+
+   1. with any of the following criteria:
+
+      1. having at least 1 measurement of 'Platelet measurement', starting between 7 days before and 7 days after cohort entry start date; numeric value between 10 and 150; unit: "cubic millimeter", "per cubic millimeter", "thousand per microliter", "thousand per cubic millimeter", "billion per liter", "per liter" or "million per milliliter".
+      2. having at least 1 measurement of 'Platelet measurement', starting between 7 days before and 7 days after cohort entry start date; numeric value between 10 and 150; low range between 130 and 170.
+      3. having at least 1 condition occurrence of 'Thrombocytopenia (narrow)', starting between 7 days before and 7 days after cohort entry start date.
+
+   2. with all of the following criteria:
+
+      1. having no measurements of 'Platelet measurement', starting between 90 days before and 7 days before cohort entry start date; numeric value between 10 and 150; unit: "cubic millimeter", "per cubic millimeter", "thousand per microliter", "thousand per cubic millimeter", "billion per liter", "per liter" or "million unit per milliliter".
+      2. having no measurements of 'Platelet measurement', starting between 90 days before and 7 days before cohort entry start date; numeric value between 10 and 150; low range between 130 and 170.
+      3. having no condition occurrences of 'Thrombocytopenia (broad)', starting between 90 days before and 7 days before cohort entry start date.
+
+
+#### 2. Thrombosis clean window period (-365 days)
+
+Entry events with all of the following criteria:
+
+   1. having no condition occurrences of 'cerebral venous sinus thrombosis (CVST broad)', starting in the 365 days prior to cohort entry start date.
+   2. having no condition occurrences of 'Deep Vein Thrombosis (broad)', starting in the 365 days prior to cohort entry start date.
+   3. having no condition occurrences of 'Pulmonary Embolism', starting in the 365 days prior to cohort entry start date.
+   4. having no condition occurrences of 'Intraabdominal thrombosis - hepatic thrombosis ', starting in the 365 days prior to cohort entry start date.
+   5. having no condition occurrences of 'Intraabdominal- splenic infacrtion and thrombosis ', starting in the 365 days prior to cohort entry start date.
+   6. having no condition occurrences of 'Portal Vein thrombosis (include visceral, mesenteric)', starting in the 365 days prior to cohort entry start date.
+   7. having no condition occurrences of 'other Intraabdominal thrombosis', starting in the 365 days prior to cohort entry start date.
+   8. having no condition occurrences of 'Intestinal infarction', starting in the 365 days prior to cohort entry start date.
+   9. having no condition occurrences of 'Cerebral infarction', starting in the 365 days prior to cohort entry start date.
+   10. having no condition occurrences of 'Hemorrhagic stroke', starting in the 365 days prior to cohort entry start date.
+   11. having no condition occurrences of 'Myocardial Infarction and complication', starting in the 365 days prior to cohort entry start date.
+
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's start date plus 1 day.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1091.sql b/tests/cohorts/reference_outputs/1091.sql
new file mode 100644
index 00000000..ad0eb953
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1091.sql
@@ -0,0 +1,1228 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 1 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (37397537,432870))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (37397537,432870))
+
+) I
+) C UNION ALL 
+SELECT 2 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (3007461,3031586,3024929,3039827,3024386,4267147,37393863))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (3007461,3031586,3024929,3039827,3024386,4267147,37393863))
+
+) I
+) C UNION ALL 
+SELECT 31 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (44782752,435565,40481089,193512,4133004,4149782,44782762,762049,762048,46271900,4317289,4124856,4318407,4055089,45757410,45757409,4203836,44782759,4205652,762046,762051,44811347,4033521,45773536,4203618,762047,36712892,4096099))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (44782752,40481089,4133004))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (36712971,435887,4179911,435031,4062264,438820,4089917,4269051))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (36712971,435887,435031,4062264,438820))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 34 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (320741,4096099,44782752,44811347,45757409,4203836,4205652,4124856,4203618,4318407,762047,44782762,435565,45757410,4033521,762049,4055089,440738,444247,40481089,193512,45773536,36712892,4234997,439838,4133004,44782759,444097,4327889,4149782,762048,4317289))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (44782752,40481089,4133004))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (36712971,435887,438820,4179911,4089917))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (36712971,435887,438820,4089917))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 35 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (254662,36713113,440417,4236271))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (254662,36713113,440417))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (435616,435887,196715,4062269,442055,433832,435026,440477,318137,199837,438820,4235812,195294,4187790,444247,44782732,40479606,4240832))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (435616,435887,196715,4062269,442055,433832,435026,440477,318137,199837,438820,4235812,195294,4187790,444247,44782732,40479606))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 40 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (443454))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (443454))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (40479572,4046360,372435,377254,379778,443790,443864,444091,4046089,4046090,4129534))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (40479572,4046360))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 41 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (439847,432923,4148906,4144154,4111709,42535426,43530728,43530727,4108952,4111708,35609033))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (376713,4174299,36716544,4345688))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4174299,36716544,4345688))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 43 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4329847,4108680,4108678,438172,4124687,45766212,37109910,37109911,37109912))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4329847,4108680,4108678,438172,4124687,45766212,37109910,37109911,37109912))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (314666))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (314666))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 44 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4195665,4148299,4173167,4317289,4319280,4144032,45757410,45757409,44811741,44811740,37117790,37016198,35622081,35622080,4345926,4342767,4341648,4341646,4340939,4340378,4340375,4318537,4318407,4240850,4239942,4237654,4215949,4214720,4192856,4188336,4174014,4149013,4148257,4148256,4124856,4055089,4055025,4045408,201894,192673))
+
+) I
+) C UNION ALL 
+SELECT 47 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (432870))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (432870))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (37397537,36713112,40321716,435076,4239484,137829,4133981,436956,4316372,42536958,4247776,440982,42537688,437242,4221109,432881,4119134))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (37397537,36713112,435076,4239484,137829,4133981,436956,4316372,42536958,4247776,440982,42537688,437242,4221109,432881))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 49 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4223098,4301208,4111853,196715,4277276))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4223098,4301208,4111853,4277276))
+
+) I
+) C UNION ALL 
+SELECT 50 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (199837,37111372,4223670,196715,36717492,45757410,45757409,4124856,4173167,4144032,4055089,4318407,4317289))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (199837,37111372,4223670))
+
+) I
+) C UNION ALL 
+SELECT 52 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (36712891,4033521,35615064,36712892,4044745,4048527))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (36712891,4033521,35615064,36712892,4044745))
+
+) I
+) C UNION ALL 
+SELECT 55 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4111714,4179912))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4111714,4179912))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4061473,4273550,45765438,36717594,4223544))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4061473,4273550,45765438,36717594,4223544))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 56 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (318137,4111714,4045733,4179912))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (318137,4111714,4179912))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4061473,4273550,45765438,36717594,4223544))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4061473,4273550,45765438,36717594,4223544))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C UNION ALL 
+SELECT 57 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4049318,4223670,444264,4207615,4273526))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4049318,4223670,444264,4207615,4273526))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (196715,199837,4317289,195294,4033521,4301208,4092406))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (196715,199837,4317289,195294,4033521,4301208,4092406))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 55)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 31)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 35)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 49)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 52)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 50)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 57)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 44)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 40)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 41)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+UNION ALL
+-- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 43)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Measurement Criteria
+select C.person_id, C.measurement_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select m.person_id,m.measurement_id,m.measurement_concept_id,m.visit_occurrence_id,m.value_as_number,m.range_high,m.range_low,m.unit_concept_id,m.measurement_date as start_date, DATEADD(day,1,m.measurement_date) as end_date 
+  FROM @cdm_database_schema.MEASUREMENT m
+JOIN #Codesets cs on (m.measurement_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE (C.value_as_number >= 10.0000 and C.value_as_number <= 150.0000)
+AND C.unit_concept_id in (8686,8785,8848,8961,9444,9254,8816)
+-- End Measurement Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-7,P.START_DATE) AND A.START_DATE <= DATEADD(day,7,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Measurement Criteria
+select C.person_id, C.measurement_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select m.person_id,m.measurement_id,m.measurement_concept_id,m.visit_occurrence_id,m.value_as_number,m.range_high,m.range_low,m.measurement_date as start_date, DATEADD(day,1,m.measurement_date) as end_date 
+  FROM @cdm_database_schema.MEASUREMENT m
+JOIN #Codesets cs on (m.measurement_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE (C.value_as_number >= 10.0000 and C.value_as_number <= 150.0000)
+AND (C.range_low >= 130.0000 and C.range_low <= 170.0000)
+-- End Measurement Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-7,P.START_DATE) AND A.START_DATE <= DATEADD(day,7,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 2 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 47)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-7,P.START_DATE) AND A.START_DATE <= DATEADD(day,7,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) > 0
+) G
+-- End Criteria Group
+
+UNION ALL
+-- Begin Criteria Group
+select 1 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Measurement Criteria
+select C.person_id, C.measurement_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select m.person_id,m.measurement_id,m.measurement_concept_id,m.visit_occurrence_id,m.value_as_number,m.range_high,m.range_low,m.unit_concept_id,m.measurement_date as start_date, DATEADD(day,1,m.measurement_date) as end_date 
+  FROM @cdm_database_schema.MEASUREMENT m
+JOIN #Codesets cs on (m.measurement_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE (C.value_as_number >= 10.0000 and C.value_as_number <= 150.0000)
+AND C.unit_concept_id in (8686,8785,8848,8961,9444,9254,45890995)
+-- End Measurement Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-90,P.START_DATE) AND A.START_DATE <= DATEADD(day,-7,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Measurement Criteria
+select C.person_id, C.measurement_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select m.person_id,m.measurement_id,m.measurement_concept_id,m.visit_occurrence_id,m.value_as_number,m.range_high,m.range_low,m.measurement_date as start_date, DATEADD(day,1,m.measurement_date) as end_date 
+  FROM @cdm_database_schema.MEASUREMENT m
+JOIN #Codesets cs on (m.measurement_concept_id = cs.concept_id and cs.codeset_id = 2)
+) C
+
+WHERE (C.value_as_number >= 10.0000 and C.value_as_number <= 150.0000)
+AND (C.range_low >= 130.0000 and C.range_low <= 170.0000)
+-- End Measurement Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-90,P.START_DATE) AND A.START_DATE <= DATEADD(day,-7,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 2 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 1)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-90,P.START_DATE) AND A.START_DATE <= DATEADD(day,-7,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 3
+) G
+-- End Criteria Group
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 2
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 1 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_1
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 56)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 1 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 34)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 2 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 35)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 3 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 49)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 4 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 52)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 5 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 50)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 6 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 57)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 7 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 44)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 8 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 40)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 9 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 41)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+UNION ALL
+-- Begin Correlated Criteria
+select 10 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 43)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-365,P.START_DATE) AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 11
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_1) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+TRUNCATE TABLE #Inclusion_1;
+DROP TABLE #Inclusion_1;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{2 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),2)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,1,start_date) > op_end_date then op_end_date else DATEADD(day,1,start_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 2 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence UNION ALL SELECT CAST(1 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1093.md b/tests/cohorts/reference_outputs/1093.md
new file mode 100644
index 00000000..7422bcea
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1093.md
@@ -0,0 +1,37 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. procedure occurrences of 'AAA repair (Bucher et al)'.
+
+2. procedure occurrences of any procedure (including 'AAA repair (Bucher et al)' source concepts).
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. Age above 18 years
+
+Entry events with the following event criteria: who are &gt;= 18 years old.
+
+#### 2. Inpatient visit on day of surgery without ER visit immediately on or prior
+
+Entry events having at least 1 visit occurrence of 'Inpatient visit', starting between 1 days before and 0 days before cohort entry start date and ending  1 days after cohort entry start date; having no visit occurrences of 'Emergency or ER / Inpatient', starting between 2 days before and 0 days after 'Inpatient visit' start date.
+
+#### 3. Atrial fibrillation (any) within 14d of surgery
+
+Entry events having at least 1 condition occurrence of 'Atrial Fibrillation (any)', starting between 0 days after and 14 days after cohort entry start date.
+
+#### 4. No prior atrial fibrillation 
+
+Entry events having no condition occurrences of 'Atrial Fibrillation (any)', starting anytime prior to cohort entry start date.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1093.sql b/tests/cohorts/reference_outputs/1093.sql
new file mode 100644
index 00000000..4c5c3217
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1093.sql
@@ -0,0 +1,620 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (9201))
+
+) I
+) C UNION ALL 
+SELECT 43 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9203))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9203))
+
+) I
+) C UNION ALL 
+SELECT 81 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (313217))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (313217))
+
+) I
+) C UNION ALL 
+SELECT 84 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (2002250,2730049,2730053,42894733,42894737,2725615,2725619,2729915,2730103,2729917,2730105,2729916,2730104,2002063,2002084,2736486,2736490,2736494,42897039,42897078,42897085,2730884,2730887))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cs on (po.procedure_concept_id = cs.concept_id and cs.codeset_id = 84)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+UNION ALL
+-- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cns on (po.procedure_source_concept_id = cns.concept_id and cns.codeset_id = 84)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Demographic Criteria
+SELECT 0 as index_id, e.person_id, e.event_id
+FROM #qualified_events E
+JOIN @cdm_database_schema.PERSON P ON P.PERSON_ID = E.PERSON_ID
+WHERE YEAR(E.start_date) - P.year_of_birth >= 18
+GROUP BY e.person_id, e.event_id
+-- End Demographic Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 1 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_1
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 43)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-2,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-1,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,1,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 2 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_2
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 81)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= DATEADD(day,14,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 3 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_3
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 81)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_1
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_2
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_3) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+TRUNCATE TABLE #Inclusion_1;
+DROP TABLE #Inclusion_1;
+
+TRUNCATE TABLE #Inclusion_2;
+DROP TABLE #Inclusion_2;
+
+TRUNCATE TABLE #Inclusion_3;
+DROP TABLE #Inclusion_3;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{4 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),4)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 4 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence UNION ALL SELECT CAST(1 as int) as rule_sequence UNION ALL SELECT CAST(2 as int) as rule_sequence UNION ALL SELECT CAST(3 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1094.md b/tests/cohorts/reference_outputs/1094.md
new file mode 100644
index 00000000..412bc25a
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1094.md
@@ -0,0 +1,37 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. procedure occurrences of 'Lower Extremity Bypass (Bucher et al)'.
+
+2. procedure occurrences of any procedure (including 'Lower Extremity Bypass (Bucher et al)' source concepts).
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. Age above 18 years
+
+Entry events with the following event criteria: who are &gt;= 18 years old.
+
+#### 2. Inpatient visit on day of surgery without ER visit immediately on or prior
+
+Entry events having at least 1 visit occurrence of 'Inpatient visit', starting between 1 days before and 0 days before cohort entry start date and ending  1 days after cohort entry start date; having no visit occurrences of 'Emergency or ER / Inpatient', starting between 2 days before and 0 days after 'Inpatient visit' start date.
+
+#### 3. Atrial fibrillation (any) within 14d of surgery
+
+Entry events having at least 1 condition occurrence of 'Atrial Fibrillation (any)', starting between 0 days after and 14 days after cohort entry start date.
+
+#### 4. No prior atrial fibrillation 
+
+Entry events having no condition occurrences of 'Atrial Fibrillation (any)', starting anytime prior to cohort entry start date.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1094.sql b/tests/cohorts/reference_outputs/1094.sql
new file mode 100644
index 00000000..2aa460ec
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1094.sql
@@ -0,0 +1,620 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (9201))
+
+) I
+) C UNION ALL 
+SELECT 43 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9203))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9203))
+
+) I
+) C UNION ALL 
+SELECT 81 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (313217))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (313217))
+
+) I
+) C UNION ALL 
+SELECT 85 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (2002187,2729943,2730416,2729923,2730209,2730169,2730456,2729963,2730436,2730189,2730476,2729949,2730422,2729929,2730215,2730175,2730462,2729969,2730442,2730195,2730668,2729952,2730425,2729932,2730218,2730178,2730465,2729972,2730445,2730198,2730671,2729946,2730419,2729926,2730212,2730172,2730459,2729966,2730439,2730192,2730665,2729942,2730415,2729922,2730208,2730168,2730455,2729962,2730435,2730188,2730475,2729948,2730421,2729928,2730214,2730174,2730461,2729968,2730441,2730194,2730667,2729951,2730424,2729931,2730217,2730177,2730464,2729971,2730444,2730197,2730670,2729945,2730418,2729925,2730211,2730171,2730458,2729965,2730438,2730191,2730664,2729954,2730427,2729934,2730220,2730180,2730467,2729974,2730447,2730200,2730673,2729953,2730426,2729933,2730219,2730179,2730466,2729973,2730446,2730199,2730672,2729941,2730414,2729921,2730207,2730167,2730454,2729961,2730434,2730187,2730474,2729947,2730420,2729927,2730213,2730173,2730460,2729967,2730440,2730193,2730666,2729950,2730423,2729930,2730216,2730176,2730463,2729970,2730443,2730196,2730669,2729944,2730417,2729924,2730210,2730170,2730457,2729964,2730437,2730190,2730663,2735223,2735420,2735221,2735227,2735222,2735228,2735225,2735422,2735224,2735421,2735226,2735423,2727323,2727307,2726917,2727339,2726933,2727329,2727313,2726923,2727345,2726939,2727320,2727304,2726914,2727336,2726930,2727326,2727310,2726920,2727342,2726936,2727333,2727317,2726927,2727349,2726943,2727322,2727306,2726916,2727338,2726932,2727328,2727312,2726922,2727344,2726938,2727319,2727303,2726913,2727335,2726929,2727325,2727309,2726919,2727341,2726935,2727331,2727315,2726925,2727347,2726941,2727332,2727316,2726926,2727348,2726942,2727321,2727305,2726915,2727337,2726931,2727327,2727311,2726921,2727343,2726937,2727318,2727302,2726912,2727334,2726928,2727324,2727308,2726918,2727340,2726934,2727330,2727314,2726924,2727346,2726940,2727618,2727617,2727620,2727619,2727621,2734546,2734552,2734544,2734550,2734545,2734551,2734548,2734554,2734547,2734553,2734549,2734555,2727352,2727836,2727384,2727368,2727400,2727358,2727842,2727390,2727374,2727406,2727849,2727833,2727381,2727365,2727397,2727355,2727839,2727387,2727371,2727403,2727362,2727846,2727394,2727378,2727410,2727351,2727835,2727383,2727367,2727399,2727357,2727841,2727389,2727373,2727405,2727848,2727832,2727380,2727364,2727396,2727354,2727838,2727386,2727370,2727402,2727360,2727844,2727392,2727376,2727408,2727361,2727845,2727393,2727377,2727409,2727350,2727834,2727382,2727366,2727398,2727356,2727840,2727388,2727372,2727404,2727847,2727831,2727379,2727363,2727395,2727353,2727837,2727385,2727369,2727401,2727359,2727843,2727391,2727375,2727407,2734060,2734066,2734058,2734064,2734059,2734065,2734062,2734068,2734061,2734067,2734063,2734069,2734295,2734301,2734293,2734299,2734294,2734300,2734297,2734303,2734296,2734302,2734298,2734304,2727436,2727432,2727444,2727440,2727448,2727435,2727431,2727443,2727439,2727447,2727438,2727434,2727446,2727442,2727450,2727437,2727433,2727445,2727441,2727449,2734084,2734090,2734082,2734088,2734083,2734089,2734086,2734092,2734085,2734091,2734087,2734093,2734319,2734325,2734317,2734323,2734318,2734324,2734321,2734327,2734320,2734326,2734322,2734328,2727635,2727633,2727639,2727637,2727641,2731688,2732163,2731668,2731955,2731915,2732203,2731708,2732183,2731935,2732412,2731687,2732162,2731667,2731954,2731914,2732202,2731707,2732182,2731934,2732411,2731686,2732161,2731666,2731953,2731913,2732201,2731706,2732181,2731933,2732410,2735929,2735935,2735927,2735933,2735928,2735934,2735931,2735937,2735930,2735936,2735932,2735938,2727658,2727657,2727660,2727659,2727661,2729777,2730019,2729766,2730008,2729986,2730229,2729788,2730030,2729997,2730240,2729776,2730018,2729765,2730007,2729985,2730228,2729787,2730029,2729996,2730239,2729775,2730017,2729764,2730006,2729984,2730227,2729786,2730028,2729995,2730238,2735953,2735959,2735951,2735957,2735952,2735958,2735955,2735961,2735954,2735960,2735956,2735962,2734594,2734789,2734592,2734787,2734593,2734788,2734596,2734791,2734595,2734790,2734597,2734792,2734831,2734837,2734829,2734835,2734830,2734836,2734833,2734839,2734832,2734838,2734834,2734840,2730531,2730763,2730522,2730754,2730736,2730781,2730727,2730772,2730745,2730977,2730535,2730767,2730526,2730758,2730740,2730785,2730731,2730776,2730749,2730981,2730530,2730762,2730521,2730753,2730735,2730780,2730726,2730771,2730744,2730976,2730536,2730768,2730527,2730759,2730741,2730786,2730732,2730777,2730750,2730982,2730537,2730769,2730528,2730760,2730742,2730787,2730733,2730778,2730751,2730983,2730533,2730765,2730524,2730756,2730738,2730783,2730729,2730774,2730747,2730979,2730532,2730764,2730523,2730755,2730737,2730782,2730728,2730773,2730746,2730978,2730534,2730766,2730525,2730757,2730739,2730784,2730730,2730775,2730748,2730980,2730529,2730761,2730520,2730752,2730734,2730779,2730538,2730770,2730743,2730788,2736186,2736192,2736184,2736190,2736185,2736191,2736188,2736194,2736187,2736193,2736189,2736195,43015480,43015495,43015477,43015492,43015486,43015501,43015483,43015498,43015489,43015504,43015481,43015496,43015478,43015493,43015487,43015502,43015484,43015499,43015490,43015505,43015482,43015497,43015479,43015494,43015488,43015503,43015485,43015500,43015491,43015506,2736443,2736449,2736441,2736447,2736442,2736448,2736445,2736451,2736444,2736450,2736446,2736452,2734343,2734540,2734341,2734538,2734342,2734539,2734536,2734542,2734344,2734541,2734537,2734543,2727648,2727647,2727650,2727649,2727651,2732922,2733166,2732911,2732966,2732944,2733188,2732933,2733177,2732955,2733199,2732921,2733165,2732910,2732965,2732943,2733187,2732932,2733176,2732954,2733198,2732920,2733164,2732909,2732964,2732942,2733186,2732931,2733175,2732953,2733197,2734570,2734576,2734568,2734574,2734569,2734575,2734572,2734578,2734571,2734577,2734573,2734579,43015420,43015435,43015417,43015432,43015426,43015441,43015423,43015438,43015429,43015444,43015421,43015436,43015418,43015433,43015427,43015442,43015424,43015439,43015430,43015445,43015422,43015437,43015419,43015434,43015428,43015443,43015425,43015440,43015431,43015446,2731225,2731250,2731036,2731245,2731235,2731260,2731230,2731255,2731240,2731265,2731226,2731251,2731037,2731246,2731236,2731261,2731231,2731256,2731241,2731266,2731227,2731252,2731038,2731247,2731237,2731262,2731232,2731257,2731242,2731267,2731224,2731249,2731035,2731244,2731234,2731259,2731229,2731254,2731239,2731264,2731223,2731248,2731034,2731243,2731233,2731258,2731228,2731253,2731238,2731263,2727609,2727607,2727613,2727611,2727615,2727610,2727608,2727614,2727612,2727616,2736210,2736216,2736208,2736214,2736209,2736215,2736212,2736218,2736211,2736217,2736213,2736219,2727057,2727039,2727093,2727075,2727738,2727063,2727045,2727726,2727081,2727744,2727054,2727036,2727090,2727072,2727735,2727060,2727042,2727096,2727078,2727741,2727067,2727049,2727730,2727085,2727748,2727056,2727038,2727092,2727074,2727737,2727062,2727044,2727098,2727080,2727743,2727053,2727035,2727089,2727071,2727734,2727059,2727041,2727095,2727077,2727740,2727065,2727047,2727728,2727083,2727746,2727066,2727048,2727729,2727084,2727747,2727055,2727037,2727091,2727073,2727736,2727061,2727043,2727097,2727079,2727742,2727052,2727034,2727088,2727070,2727733,2727058,2727040,2727094,2727076,2727739,2727064,2727046,2727727,2727082,2727745,2727463,2727461,2727467,2727465,2727469,2727464,2727462,2727468,2727466,2727470,2734807,2734813,2734805,2734811,2734806,2734812,2734809,2734815,2734808,2734814,2734810,2734816,2727772,2727756,2727804,2727788,2727820,2727778,2727762,2727810,2727794,2727826,2727769,2727753,2727801,2727785,2727817,2727775,2727759,2727807,2727791,2727823,2727782,2727766,2727814,2727798,2727830,2727771,2727755,2727803,2727787,2727819,2727777,2727761,2727809,2727793,2727825,2727768,2727752,2727800,2727784,2727816,2727774,2727758,2727806,2727790,2727822,2727780,2727764,2727812,2727796,2727828,2727781,2727765,2727813,2727797,2727829,2727770,2727754,2727802,2727786,2727818,2727776,2727760,2727808,2727792,2727824,2727767,2727751,2727799,2727783,2727815,2727773,2727757,2727805,2727789,2727821,2727779,2727763) or concept_id in (2727811,2727795,2727827,2734048,2734054,2734046,2734052,2734047,2734053,2734050,2734056,2734049,2734055,2734051,2734057,2734283,2734289,2734094,2734287,2734282,2734288,2734285,2734291,2734284,2734290,2734286,2734292,2727418,2727414,2727426,2727422,2727430,2727416,2727412,2727424,2727420,2727428,2727415,2727411,2727423,2727419,2727427,2727417,2727413,2727425,2727421,2727429,2734072,2734078,2734070,2734076,2734071,2734077,2734074,2734080,2734073,2734079,2734075,2734081,2734307,2734313,2734305,2734311,2734306,2734312,2734309,2734315,2734308,2734314,2734310,2734316,2727625,2727623,2727629,2727627,2727631,2730928,2731214,2730721,2731194,2730968,2731443,2730948,2731423,2731174,2731463,2730927,2731213,2730720,2731193,2730967,2731442,2730947,2731422,2731173,2731462,2730926,2731212,2730719,2731192,2730966,2731441,2730946,2731421,2731172,2731461,2735727,2735733,2735725,2735731,2735726,2735732,2735729,2735735,2735728,2735734,2735730,2735926,2727653,2727652,2727655,2727654,2727656,2733410,2733465,2733210,2733454,2733432,2729744,2733421,2729733,2733443,2729755,2733220,2733464,2733209,2733453,2733431,2729743,2733420,2729732,2733442,2729754,2733219,2733463,2733208,2733452,2733430,2729742,2733419,2729731,2733441,2729753,2735941,2735947,2735939,2735945,2735940,2735946,2735943,2735949,2735942,2735948,2735944,2735950,2734582,2734588,2734580,2734586,2734581,2734587,2734584,2734590,2734583,2734589,2734585,2734591,2734819,2734825,2734817,2734823,2734818,2734824,2734821,2734827,2734820,2734826,2734822,2734828,2730254,2730486,2730245,2730477,2730272,2730504,2730263,2730495,2730281,2730513,2730258,2730490,2730249,2730481,2730276,2730508,2730267,2730499,2730285,2730517,2730253,2730485,2730244,2730289,2730271,2730503,2730262,2730494,2730280,2730512,2730259,2730491,2730250,2730482,2730277,2730509,2730268,2730500,2730286,2730518,2730260,2730492,2730251,2730483,2730278,2730510,2730269,2730501,2730287,2730519,2730256,2730488,2730247,2730479,2730274,2730506,2730265,2730497,2730283,2730515,2730255,2730487,2730246,2730478,2730273,2730505,2730264,2730496,2730282,2730514,2730257,2730489,2730248,2730480,2730275,2730507,2730266,2730498,2730284,2730516,2730252,2730484,2730243,2730288,2730270,2730502,2730261,2730493,2730279,2730511,2736174,2736180,2735987,2736178,2736173,2736179,2736176,2736182,2736175,2736181,2736177,2736183,43015450,43015465,43015447,43015462,43015456,43015471,43015453,43015468,43015459,43015474,43015451,43015466,43015448,43015463,43015457,43015472,43015454,43015469,43015460,43015475,43015452,43015467,43015449,43015464,43015458,43015473,43015455,43015470,43015461,43015476,2736431,2736437,2736429,2736435,2736430,2736436,2736433,2736439,2736432,2736438,2736434,2736440,2734331,2734337,2734329,2734335,2734330,2734336,2734333,2734339,2734332,2734338,2734334,2734340,2735965,2735971,2735963,2735969,2735964,2735970,2735967,2735973,2735966,2735972,2735968,2735974,2727643,2727642,2727645,2727644,2727646,2732434,2732678,2732423,2732667,2732456,2732700,2732445,2732689,2732467,2732711,2732433,2732677,2732422,2732666,2732455,2732699,2732444,2732688,2732466,2732710,2732432,2732676,2732421,2732665,2732454,2732698,2732443,2732687,2732465,2732709,2734558,2734564,2734556,2734562,2734557,2734563,2734560,2734566,2734559,2734565,2734561,2734567,43015390,43015405,43015387,43015402,43015396,43015411,43015393,43015408,43015399,43015414,43015391,43015406,43015388,43015403,43015397,43015412,43015394,43015409,43015400,43015415,43015392,43015407,43015389,43015404,43015398,43015413,43015395,43015410,43015401,43015416,2730991,2731016,2730986,2731011,2731001,2731026,2730996,2731021,2731006,2731031,2730992,2731017,2730987,2731012,2731002,2731027,2730997,2731022,2731007,2731032,2730993,2731018,2730988,2731013,2731003,2731028,2730998,2731023,2731008,2731033,2730990,2731015,2730985,2731010,2731000,2731025,2730995,2731020,2731005,2731030,2730989,2731014,2730984,2731009,2730999,2731024,2730994,2731019,2731004,2731029,2727474,2727472,2727604,2727602,2727606,2727473,2727471,2727603,2727601,2727605,2736198,2736204,2736196,2736202,2736197,2736203,2736200,2736206,2736199,2736205,2736201,2736207,2726967,2726949,2727003,2726985,2727021,2726973,2726955,2727009,2726991,2727027,2726964,2726946,2727000,2726982,2727018,2726970,2726952,2727006,2726988,2727024,2726977,2726959,2727013,2726995,2727031,2726966,2726948,2727002,2726984,2727020,2726972,2726954,2727008,2726990,2727026,2726963,2726945,2726999,2726981,2727017,2726969,2726951,2727005,2726987,2727023,2726975,2726957,2727011,2726993,2727029,2726976,2726958,2727012,2726994,2727030,2726965,2726947,2727001,2726983,2727019,2726971,2726953,2727007,2726989,2727025,2726962,2726944,2726998,2726980,2727016,2726968,2726950,2727004,2726986,2727022,2726974,2726956,2727010,2726992,2727028,2727454,2727452,2727458,2727456,2727460,2727453,2727451,2727457,2727455,2727459,2734795,2734801,2734793,2734799,2734794,2734800,2734797,2734803,2734796,2734802,2734798,2734804,2002191))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cs on (po.procedure_concept_id = cs.concept_id and cs.codeset_id = 85)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+UNION ALL
+-- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cns on (po.procedure_source_concept_id = cns.concept_id and cns.codeset_id = 85)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Demographic Criteria
+SELECT 0 as index_id, e.person_id, e.event_id
+FROM #qualified_events E
+JOIN @cdm_database_schema.PERSON P ON P.PERSON_ID = E.PERSON_ID
+WHERE YEAR(E.start_date) - P.year_of_birth >= 18
+GROUP BY e.person_id, e.event_id
+-- End Demographic Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 1 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_1
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 43)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-2,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-1,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,1,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 2 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_2
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 81)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= DATEADD(day,14,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 3 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_3
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 81)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_1
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_2
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_3) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+TRUNCATE TABLE #Inclusion_1;
+DROP TABLE #Inclusion_1;
+
+TRUNCATE TABLE #Inclusion_2;
+DROP TABLE #Inclusion_2;
+
+TRUNCATE TABLE #Inclusion_3;
+DROP TABLE #Inclusion_3;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{4 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),4)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 4 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence UNION ALL SELECT CAST(1 as int) as rule_sequence UNION ALL SELECT CAST(2 as int) as rule_sequence UNION ALL SELECT CAST(3 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1095.md b/tests/cohorts/reference_outputs/1095.md
new file mode 100644
index 00000000..2e1cdb6c
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1095.md
@@ -0,0 +1,37 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. procedure occurrences of 'Carotid Endarterectomy (Bucher et al)'.
+
+2. procedure occurrences of any procedure (including 'Carotid Endarterectomy (Bucher et al)' source concepts).
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. Age above 18 years
+
+Entry events with the following event criteria: who are &gt;= 18 years old.
+
+#### 2. Inpatient visit on day of surgery without ER visit immediately on or prior
+
+Entry events having at least 1 visit occurrence of 'Inpatient visit', starting between 1 days before and 0 days before cohort entry start date and ending  1 days after cohort entry start date; having no visit occurrences of 'Emergency or ER / Inpatient', starting between 2 days before and 0 days after 'Inpatient visit' start date.
+
+#### 3. Atrial fibrillation (any) within 14d of surgery
+
+Entry events having at least 1 condition occurrence of 'Atrial Fibrillation (any)', starting between 0 days after and 14 days after cohort entry start date.
+
+#### 4. No prior atrial fibrillation 
+
+Entry events having no condition occurrences of 'Atrial Fibrillation (any)', starting anytime prior to cohort entry start date.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1095.sql b/tests/cohorts/reference_outputs/1095.sql
new file mode 100644
index 00000000..2053f32b
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1095.sql
@@ -0,0 +1,620 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (9201))
+
+) I
+) C UNION ALL 
+SELECT 43 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9203))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9203))
+
+) I
+) C UNION ALL 
+SELECT 81 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (313217))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (313217))
+
+) I
+) C UNION ALL 
+SELECT 86 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (2002027,2728555,2728556,2728557,2728410,2728412,2728546,2728548,2728540,2728542,2728561,2728562,2728563,2728567,2728568,2728569,2728552,2728554,2728407,2728409,2728543,2728545,2728413,2728539,2728558,2728559,2728560,2728564,2728565,2728566,2728549,2728551,2000061))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cs on (po.procedure_concept_id = cs.concept_id and cs.codeset_id = 86)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+UNION ALL
+-- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cns on (po.procedure_source_concept_id = cns.concept_id and cns.codeset_id = 86)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Demographic Criteria
+SELECT 0 as index_id, e.person_id, e.event_id
+FROM #qualified_events E
+JOIN @cdm_database_schema.PERSON P ON P.PERSON_ID = E.PERSON_ID
+WHERE YEAR(E.start_date) - P.year_of_birth >= 18
+GROUP BY e.person_id, e.event_id
+-- End Demographic Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 1 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_1
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 43)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-2,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-1,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,1,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 2 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_2
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 81)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= DATEADD(day,14,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 3 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_3
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 81)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_1
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_2
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_3) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+TRUNCATE TABLE #Inclusion_1;
+DROP TABLE #Inclusion_1;
+
+TRUNCATE TABLE #Inclusion_2;
+DROP TABLE #Inclusion_2;
+
+TRUNCATE TABLE #Inclusion_3;
+DROP TABLE #Inclusion_3;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{4 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),4)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 4 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence UNION ALL SELECT CAST(1 as int) as rule_sequence UNION ALL SELECT CAST(2 as int) as rule_sequence UNION ALL SELECT CAST(3 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1097.md b/tests/cohorts/reference_outputs/1097.md
new file mode 100644
index 00000000..db2963c6
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1097.md
@@ -0,0 +1,37 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. procedure occurrences of 'Esophagectomy (Bucher et al)'.
+
+2. procedure occurrences of any procedure (including 'Esophagectomy (Bucher et al)' source concepts).
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. Age above 18 years
+
+Entry events with the following event criteria: who are &gt;= 18 years old.
+
+#### 2. Inpatient visit on day of surgery without ER visit immediately on or prior
+
+Entry events having at least 1 visit occurrence of 'Inpatient visit', starting between 1 days before and 0 days before cohort entry start date and ending  1 days after cohort entry start date; having no visit occurrences of 'Emergency or ER / Inpatient', starting between 2 days before and 0 days after 'Inpatient visit' start date.
+
+#### 3. Atrial fibrillation (any) within 14d of surgery
+
+Entry events having at least 1 condition occurrence of 'Atrial Fibrillation (any)', starting between 0 days after and 14 days after cohort entry start date.
+
+#### 4. No prior atrial fibrillation 
+
+Entry events having no condition occurrences of 'Atrial Fibrillation (any)', starting anytime prior to cohort entry start date.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1097.sql b/tests/cohorts/reference_outputs/1097.sql
new file mode 100644
index 00000000..2a3e3888
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1097.sql
@@ -0,0 +1,620 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (9201))
+
+) I
+) C UNION ALL 
+SELECT 43 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9203))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9203))
+
+) I
+) C UNION ALL 
+SELECT 81 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (313217))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (313217))
+
+) I
+) C UNION ALL 
+SELECT 88 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (2002489,2002487,2002485,2002486,2748708,2748729,2748718,2748739,2748713,2748728,2748734,2748723,2748744,2748710,2748731,2748948,2748720,2748741,2748958,2748715,2748736,2748953,2748725,2748943,2748963,2748712,2748733,2748950,2748722,2748743,2748960,2748717,2748738,2748955,2748727,2748945,2748965,2748711,2748732,2748949,2748721,2748742,2748959,2748716,2748737,2748954,2748726,2748944,2748964,2748709,2748730,2748947,2748719,2748740,2748957,2748714,2748735,2748952,2748724,2748942,2748962,2002462,2746751,2746753,2746757,2746786,2746788,2746790,2746792,2746794,2002470,2002468,2002482,2002466,2002467,2002502,2002491,2002490,2002488,2002483,2002471,2002469,2002463,2753144,2753145,2753146,2753147,2002464,2752710,2752711,2752708,2752709,2752706,2752707))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cs on (po.procedure_concept_id = cs.concept_id and cs.codeset_id = 88)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+UNION ALL
+-- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cns on (po.procedure_source_concept_id = cns.concept_id and cns.codeset_id = 88)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Demographic Criteria
+SELECT 0 as index_id, e.person_id, e.event_id
+FROM #qualified_events E
+JOIN @cdm_database_schema.PERSON P ON P.PERSON_ID = E.PERSON_ID
+WHERE YEAR(E.start_date) - P.year_of_birth >= 18
+GROUP BY e.person_id, e.event_id
+-- End Demographic Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 1 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_1
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 43)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-2,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-1,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,1,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 2 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_2
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 81)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= DATEADD(day,14,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 3 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_3
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 81)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_1
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_2
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_3) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+TRUNCATE TABLE #Inclusion_1;
+DROP TABLE #Inclusion_1;
+
+TRUNCATE TABLE #Inclusion_2;
+DROP TABLE #Inclusion_2;
+
+TRUNCATE TABLE #Inclusion_3;
+DROP TABLE #Inclusion_3;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{4 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),4)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 4 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence UNION ALL SELECT CAST(1 as int) as rule_sequence UNION ALL SELECT CAST(2 as int) as rule_sequence UNION ALL SELECT CAST(3 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1098.md b/tests/cohorts/reference_outputs/1098.md
new file mode 100644
index 00000000..1ff7a753
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1098.md
@@ -0,0 +1,37 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. procedure occurrences of 'Pancreatectomy (Bucher et al)'.
+
+2. procedure occurrences of any procedure (including 'Pancreatectomy (Bucher et al)' source concepts).
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. Age above 18 years
+
+Entry events with the following event criteria: who are &gt;= 18 years old.
+
+#### 2. Inpatient visit on day of surgery without ER visit immediately on or prior
+
+Entry events having at least 1 visit occurrence of 'Inpatient visit', starting between 1 days before and 0 days before cohort entry start date and ending  1 days after cohort entry start date; having no visit occurrences of 'Emergency or ER / Inpatient', starting between 2 days before and 0 days after 'Inpatient visit' start date.
+
+#### 3. Atrial fibrillation (any) within 14d of surgery
+
+Entry events having at least 1 condition occurrence of 'Atrial Fibrillation (any)', starting between 0 days after and 14 days after cohort entry start date.
+
+#### 4. No prior atrial fibrillation 
+
+Entry events having no condition occurrences of 'Atrial Fibrillation (any)', starting anytime prior to cohort entry start date.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1098.sql b/tests/cohorts/reference_outputs/1098.sql
new file mode 100644
index 00000000..72b56ee4
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1098.sql
@@ -0,0 +1,620 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (9201))
+
+) I
+) C UNION ALL 
+SELECT 43 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9203))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9203))
+
+) I
+) C UNION ALL 
+SELECT 81 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (313217))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (313217))
+
+) I
+) C UNION ALL 
+SELECT 84 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (2003348,2750943,2750945,2750947,43017182,2003350,2003347,2003362,2003349,2753534,2753535,2003351))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cs on (po.procedure_concept_id = cs.concept_id and cs.codeset_id = 84)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+UNION ALL
+-- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cns on (po.procedure_source_concept_id = cns.concept_id and cns.codeset_id = 84)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Demographic Criteria
+SELECT 0 as index_id, e.person_id, e.event_id
+FROM #qualified_events E
+JOIN @cdm_database_schema.PERSON P ON P.PERSON_ID = E.PERSON_ID
+WHERE YEAR(E.start_date) - P.year_of_birth >= 18
+GROUP BY e.person_id, e.event_id
+-- End Demographic Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 1 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_1
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 43)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-2,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-1,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,1,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 2 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_2
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 81)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= DATEADD(day,14,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 3 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_3
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 81)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_1
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_2
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_3) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+TRUNCATE TABLE #Inclusion_1;
+DROP TABLE #Inclusion_1;
+
+TRUNCATE TABLE #Inclusion_2;
+DROP TABLE #Inclusion_2;
+
+TRUNCATE TABLE #Inclusion_3;
+DROP TABLE #Inclusion_3;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{4 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),4)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 4 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence UNION ALL SELECT CAST(1 as int) as rule_sequence UNION ALL SELECT CAST(2 as int) as rule_sequence UNION ALL SELECT CAST(3 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1099.md b/tests/cohorts/reference_outputs/1099.md
new file mode 100644
index 00000000..29d77761
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1099.md
@@ -0,0 +1,37 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. procedure occurrences of 'Colectomy (Bucher et al)'.
+
+2. procedure occurrences of any procedure (including 'Colectomy (Bucher et al)' source concepts).
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. Age above 18 years
+
+Entry events with the following event criteria: who are &gt;= 18 years old.
+
+#### 2. Inpatient visit on day of surgery without ER visit immediately on or prior
+
+Entry events having at least 1 visit occurrence of 'Inpatient visit', starting between 1 days before and 0 days before cohort entry start date and ending  1 days after cohort entry start date; having no visit occurrences of 'Emergency or ER / Inpatient', starting between 2 days before and 0 days after 'Inpatient visit' start date.
+
+#### 3. Atrial fibrillation (any) within 14d of surgery
+
+Entry events having at least 1 condition occurrence of 'Atrial Fibrillation (any)', starting between 0 days after and 14 days after cohort entry start date.
+
+#### 4. No prior atrial fibrillation 
+
+Entry events having no condition occurrences of 'Atrial Fibrillation (any)', starting anytime prior to cohort entry start date.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1099.sql b/tests/cohorts/reference_outputs/1099.sql
new file mode 100644
index 00000000..8881c74e
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1099.sql
@@ -0,0 +1,620 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (9201))
+
+) I
+) C UNION ALL 
+SELECT 43 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9203))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9203))
+
+) I
+) C UNION ALL 
+SELECT 81 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (313217))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (313217))
+
+) I
+) C UNION ALL 
+SELECT 83 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (43016394,2747030,2747032,2747034,2747036,2747038,43016392,43016398,43016393,2000811,2000834,2000810,2000833,2000832,2000835,2002768,2002751,2002764,2002750,2002763,2002762,2002765,2002769,2002766,2002770,2000836,2753386,2753378,2753379,2753380,2753381,43017217,2753176,2753177,2753368,2753369,2753374,2753375,2753376,2753377,43017215,2753370,2753371,2753372,2753373,2753398,2753399,2753400,2753401,43017218,2753390,2753391,2753392,2753393,43017216))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cs on (po.procedure_concept_id = cs.concept_id and cs.codeset_id = 83)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+UNION ALL
+-- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cns on (po.procedure_source_concept_id = cns.concept_id and cns.codeset_id = 83)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Demographic Criteria
+SELECT 0 as index_id, e.person_id, e.event_id
+FROM #qualified_events E
+JOIN @cdm_database_schema.PERSON P ON P.PERSON_ID = E.PERSON_ID
+WHERE YEAR(E.start_date) - P.year_of_birth >= 18
+GROUP BY e.person_id, e.event_id
+-- End Demographic Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 1 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_1
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 43)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-2,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-1,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,1,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 2 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_2
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 81)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= DATEADD(day,14,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 3 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_3
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 81)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_1
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_2
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_3) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+TRUNCATE TABLE #Inclusion_1;
+DROP TABLE #Inclusion_1;
+
+TRUNCATE TABLE #Inclusion_2;
+DROP TABLE #Inclusion_2;
+
+TRUNCATE TABLE #Inclusion_3;
+DROP TABLE #Inclusion_3;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{4 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),4)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 4 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence UNION ALL SELECT CAST(1 as int) as rule_sequence UNION ALL SELECT CAST(2 as int) as rule_sequence UNION ALL SELECT CAST(3 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/11.md b/tests/cohorts/reference_outputs/11.md
new file mode 100644
index 00000000..ee0f33be
--- /dev/null
+++ b/tests/cohorts/reference_outputs/11.md
@@ -0,0 +1,15 @@
+### Cohort Entry Events
+
+People enter the cohort when observing any of the following:
+
+1. condition occurrences of 'Malaise or Fatigue or (Malaise and Fatigue)'.
+
+### Cohort Exit
+
+The cohort end date will be offset from index event's end date plus 14 days.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/11.sql b/tests/cohorts/reference_outputs/11.sql
new file mode 100644
index 00000000..3fc17d59
--- /dev/null
+++ b/tests/cohorts/reference_outputs/11.sql
@@ -0,0 +1,304 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 3 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4223659,4272240,4309912))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4223659,4272240,4309912))
+
+) I
+LEFT JOIN
+(
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (4158491,37396808,4219363,4221911,37205051,37205052,45772721,4225027,40484614,4092860,4090207,44782753))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (4158491,37396808,4219363,4221911,37205051,37205052,45772721,4225027,40484614,4092860,4090207,44782753))
+
+) E ON I.concept_id = E.concept_id
+WHERE E.concept_id is null
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 3)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+create table #inclusion_events (inclusion_rule_id bigint,
+	person_id bigint,
+	event_id bigint
+);
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{0 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)
+}
+) Results
+
+;
+
+-- date offset strategy
+
+select event_id, person_id, 
+  case when DATEADD(day,14,end_date) > op_end_date then op_end_date else DATEADD(day,14,end_date) end as end_date
+INTO #strategy_ends
+from #included_events;
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- End Date Strategy
+SELECT event_id, person_id, end_date from #strategy_ends
+
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 0 != 0}?{
+
+CREATE TABLE #inclusion_rules (rule_sequence int);
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+TRUNCATE TABLE #strategy_ends;
+DROP TABLE #strategy_ends;
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1100.md b/tests/cohorts/reference_outputs/1100.md
new file mode 100644
index 00000000..bda1a05a
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1100.md
@@ -0,0 +1,37 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. procedure occurrences of 'Cystectomy (Bucher et al)'.
+
+2. procedure occurrences of any procedure (including 'Cystectomy (Bucher et al)' source concepts).
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. Age above 18 years
+
+Entry events with the following event criteria: who are &gt;= 18 years old.
+
+#### 2. Inpatient visit on day of surgery without ER visit immediately on or prior
+
+Entry events having at least 1 visit occurrence of 'Inpatient visit', starting between 1 days before and 0 days before cohort entry start date and ending  1 days after cohort entry start date; having no visit occurrences of 'Emergency or ER / Inpatient', starting between 2 days before and 0 days after 'Inpatient visit' start date.
+
+#### 3. Atrial fibrillation (any) within 14d of surgery
+
+Entry events having at least 1 condition occurrence of 'Atrial Fibrillation (any)', starting between 0 days after and 14 days after cohort entry start date.
+
+#### 4. No prior atrial fibrillation 
+
+Entry events having no condition occurrences of 'Atrial Fibrillation (any)', starting anytime prior to cohort entry start date.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1100.sql b/tests/cohorts/reference_outputs/1100.sql
new file mode 100644
index 00000000..47255295
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1100.sql
@@ -0,0 +1,620 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (9201))
+
+) I
+) C UNION ALL 
+SELECT 43 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9203))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9203))
+
+) I
+) C UNION ALL 
+SELECT 81 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (313217))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (313217))
+
+) I
+) C UNION ALL 
+SELECT 85 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (2773930,2773932,2773934,2003806,2003803,2003805,2780485,2780486,2776775,2776776,2776777,2776778,2780477,2780478,2780479,2780480,2776783,2776972,2776973,2776974))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cs on (po.procedure_concept_id = cs.concept_id and cs.codeset_id = 85)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+UNION ALL
+-- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cns on (po.procedure_source_concept_id = cns.concept_id and cns.codeset_id = 85)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Demographic Criteria
+SELECT 0 as index_id, e.person_id, e.event_id
+FROM #qualified_events E
+JOIN @cdm_database_schema.PERSON P ON P.PERSON_ID = E.PERSON_ID
+WHERE YEAR(E.start_date) - P.year_of_birth >= 18
+GROUP BY e.person_id, e.event_id
+-- End Demographic Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 1 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_1
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 43)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-2,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-1,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,1,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 2 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_2
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 81)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= DATEADD(day,14,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 3 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_3
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 81)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_1
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_2
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_3) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+TRUNCATE TABLE #Inclusion_1;
+DROP TABLE #Inclusion_1;
+
+TRUNCATE TABLE #Inclusion_2;
+DROP TABLE #Inclusion_2;
+
+TRUNCATE TABLE #Inclusion_3;
+DROP TABLE #Inclusion_3;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{4 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),4)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 4 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence UNION ALL SELECT CAST(1 as int) as rule_sequence UNION ALL SELECT CAST(2 as int) as rule_sequence UNION ALL SELECT CAST(3 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/cohorts/reference_outputs/1101.md b/tests/cohorts/reference_outputs/1101.md
new file mode 100644
index 00000000..98576bc3
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1101.md
@@ -0,0 +1,37 @@
+### Cohort Entry Events
+
+People may enter the cohort when observing any of the following:
+
+1. procedure occurrences of 'Nephrectomy (Bucher et al)'.
+
+2. procedure occurrences of any procedure (including 'Nephrectomy (Bucher et al)' source concepts).
+
+Limit cohort entry events to the earliest event per person.
+
+### Inclusion Criteria
+
+#### 1. Age above 18 years
+
+Entry events with the following event criteria: who are &gt;= 18 years old.
+
+#### 2. Inpatient visit on day of surgery without ER visit immediately on or prior
+
+Entry events having at least 1 visit occurrence of 'Inpatient visit', starting between 1 days before and 0 days before cohort entry start date and ending  1 days after cohort entry start date; having no visit occurrences of 'Emergency or ER / Inpatient', starting between 2 days before and 0 days after 'Inpatient visit' start date.
+
+#### 3. Atrial fibrillation (any) within 14d of surgery
+
+Entry events having at least 1 condition occurrence of 'Atrial Fibrillation (any)', starting between 0 days after and 14 days after cohort entry start date.
+
+#### 4. No prior atrial fibrillation 
+
+Entry events having no condition occurrences of 'Atrial Fibrillation (any)', starting anytime prior to cohort entry start date.
+
+### Cohort Exit
+
+The person exits the cohort at the end of continuous observation.
+
+### Cohort Eras
+
+Remaining events will be combined into cohort eras if they are within 0 days of each other.
+
+
diff --git a/tests/cohorts/reference_outputs/1101.sql b/tests/cohorts/reference_outputs/1101.sql
new file mode 100644
index 00000000..0aa54fb5
--- /dev/null
+++ b/tests/cohorts/reference_outputs/1101.sql
@@ -0,0 +1,620 @@
+CREATE TABLE #Codesets (
+  codeset_id int NOT NULL,
+  concept_id bigint NOT NULL
+)
+;
+
+INSERT INTO #Codesets (codeset_id, concept_id)
+SELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (9201))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (9201))
+
+) I
+) C UNION ALL 
+SELECT 43 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (262,9203))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (262,9203))
+
+) I
+) C UNION ALL 
+SELECT 81 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (313217))
+UNION  select c.concept_id
+  from @vocabulary_database_schema.CONCEPT c
+  join @vocabulary_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id
+  WHERE c.invalid_reason is null
+  and (ca.ancestor_concept_id in (313217))
+
+) I
+) C UNION ALL 
+SELECT 84 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM
+( 
+  select concept_id from @vocabulary_database_schema.CONCEPT where (concept_id in (2003623,2773711,2773713,2773715,2773717,2773719,2773691,2773693,2773695,2773697,2773699,2773701,2773703,2773705,2773707,2773709,2773681,2773683,2773685,2773687,2773689,2003611,2003610,2003608,2003622,2776763,2776764,2776765,2776766,2776755,2776756,2776759,2776760,2776761,2776762,2776753,2776754))
+
+) I
+) C;
+
+UPDATE STATISTICS #Codesets;
+
+
+SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, visit_occurrence_id
+INTO #qualified_events
+FROM 
+(
+  select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date, row_number() over (partition by pe.person_id order by pe.start_date ASC) as ordinal, cast(pe.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM (-- Begin Primary Events
+select P.ordinal as event_id, P.person_id, P.start_date, P.end_date, op_start_date, op_end_date, cast(P.visit_occurrence_id as bigint) as visit_occurrence_id
+FROM
+(
+  select E.person_id, E.start_date, E.end_date,
+         row_number() OVER (PARTITION BY E.person_id ORDER BY E.sort_date ASC, E.event_id) ordinal,
+         OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date, cast(E.visit_occurrence_id as bigint) as visit_occurrence_id
+  FROM 
+  (
+  -- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cs on (po.procedure_concept_id = cs.concept_id and cs.codeset_id = 84)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+UNION ALL
+-- Begin Procedure Occurrence Criteria
+select C.person_id, C.procedure_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select po.person_id,po.procedure_occurrence_id,po.procedure_concept_id,po.visit_occurrence_id,po.quantity,po.procedure_date as start_date, DATEADD(day,1,po.procedure_date) as end_date 
+  FROM @cdm_database_schema.PROCEDURE_OCCURRENCE po
+JOIN #Codesets cns on (po.procedure_source_concept_id = cns.concept_id and cns.codeset_id = 84)
+) C
+
+
+-- End Procedure Occurrence Criteria
+
+  ) E
+	JOIN @cdm_database_schema.observation_period OP on E.person_id = OP.person_id and E.start_date >=  OP.observation_period_start_date and E.start_date <= op.observation_period_end_date
+  WHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= E.START_DATE AND DATEADD(day,0,E.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE
+) P
+WHERE P.ordinal = 1
+-- End Primary Events
+) pe
+  
+) QE
+
+;
+
+--- Inclusion Rule Inserts
+
+select 0 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_0
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Demographic Criteria
+SELECT 0 as index_id, e.person_id, e.event_id
+FROM #qualified_events E
+JOIN @cdm_database_schema.PERSON P ON P.PERSON_ID = E.PERSON_ID
+WHERE YEAR(E.start_date) - P.year_of_birth >= 18
+GROUP BY e.person_id, e.event_id
+-- End Demographic Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 1 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_1
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  select PE.person_id, PE.event_id, PE.start_date, PE.end_date, PE.visit_occurrence_id, PE.sort_date FROM (
+-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) PE
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM (SELECT Q.person_id, Q.event_id, Q.start_date, Q.end_date, Q.visit_occurrence_id, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date
+FROM (-- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 0)
+) C
+
+
+-- End Visit Occurrence Criteria
+) Q
+JOIN @cdm_database_schema.OBSERVATION_PERIOD OP on Q.person_id = OP.person_id 
+  and OP.observation_period_start_date <= Q.start_date and OP.observation_period_end_date >= Q.start_date
+) P
+JOIN (
+  -- Begin Visit Occurrence Criteria
+select C.person_id, C.visit_occurrence_id as event_id, C.start_date, C.end_date,
+       C.visit_occurrence_id, C.start_date as sort_date
+from 
+(
+  select vo.person_id,vo.visit_occurrence_id,vo.visit_concept_id,vo.visit_start_date as start_date, vo.visit_end_date as end_date 
+  FROM @cdm_database_schema.VISIT_OCCURRENCE vo
+JOIN #Codesets cs on (vo.visit_concept_id = cs.concept_id and cs.codeset_id = 43)
+) C
+
+
+-- End Visit Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-2,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id and AC.event_id = pe.event_id
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,-1,P.START_DATE) AND A.START_DATE <= DATEADD(day,0,P.START_DATE) AND A.END_DATE >= DATEADD(day,1,P.START_DATE) AND A.END_DATE <= P.OP_END_DATE ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 2 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_2
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, cc.person_id, cc.event_id
+from (SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 81)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= DATEADD(day,0,P.START_DATE) AND A.START_DATE <= DATEADD(day,14,P.START_DATE) ) cc 
+GROUP BY cc.person_id, cc.event_id
+HAVING COUNT(cc.event_id) >= 1
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+select 3 as inclusion_rule_id, person_id, event_id
+INTO #Inclusion_3
+FROM 
+(
+  select pe.person_id, pe.event_id
+  FROM #qualified_events pe
+  
+JOIN (
+-- Begin Criteria Group
+select 0 as index_id, person_id, event_id
+FROM
+(
+  select E.person_id, E.event_id 
+  FROM #qualified_events E
+  INNER JOIN
+  (
+    -- Begin Correlated Criteria
+select 0 as index_id, p.person_id, p.event_id
+from #qualified_events p
+LEFT JOIN (
+SELECT p.person_id, p.event_id 
+FROM #qualified_events P
+JOIN (
+  -- Begin Condition Occurrence Criteria
+SELECT C.person_id, C.condition_occurrence_id as event_id, C.start_date, C.end_date,
+  C.visit_occurrence_id, C.start_date as sort_date
+FROM 
+(
+  SELECT co.person_id,co.condition_occurrence_id,co.condition_concept_id,co.visit_occurrence_id,co.condition_start_date as start_date, COALESCE(co.condition_end_date, DATEADD(day,1,co.condition_start_date)) as end_date 
+  FROM @cdm_database_schema.CONDITION_OCCURRENCE co
+  JOIN #Codesets cs on (co.condition_concept_id = cs.concept_id and cs.codeset_id = 81)
+) C
+
+
+-- End Condition Occurrence Criteria
+
+) A on A.person_id = P.person_id  AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= P.OP_END_DATE AND A.START_DATE >= P.OP_START_DATE AND A.START_DATE <= DATEADD(day,-1,P.START_DATE) ) cc on p.person_id = cc.person_id and p.event_id = cc.event_id
+GROUP BY p.person_id, p.event_id
+HAVING COUNT(cc.event_id) = 0
+-- End Correlated Criteria
+
+  ) CQ on E.person_id = CQ.person_id and E.event_id = CQ.event_id
+  GROUP BY E.person_id, E.event_id
+  HAVING COUNT(index_id) = 1
+) G
+-- End Criteria Group
+) AC on AC.person_id = pe.person_id AND AC.event_id = pe.event_id
+) Results
+;
+
+SELECT inclusion_rule_id, person_id, event_id
+INTO #inclusion_events
+FROM (select inclusion_rule_id, person_id, event_id from #Inclusion_0
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_1
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_2
+UNION ALL
+select inclusion_rule_id, person_id, event_id from #Inclusion_3) I;
+TRUNCATE TABLE #Inclusion_0;
+DROP TABLE #Inclusion_0;
+
+TRUNCATE TABLE #Inclusion_1;
+DROP TABLE #Inclusion_1;
+
+TRUNCATE TABLE #Inclusion_2;
+DROP TABLE #Inclusion_2;
+
+TRUNCATE TABLE #Inclusion_3;
+DROP TABLE #Inclusion_3;
+
+
+select event_id, person_id, start_date, end_date, op_start_date, op_end_date
+into #included_events
+FROM (
+  SELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date, row_number() over (partition by person_id order by start_date ASC) as ordinal
+  from
+  (
+    select Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask
+    from #qualified_events Q
+    LEFT JOIN #inclusion_events I on I.person_id = Q.person_id and I.event_id = Q.event_id
+    GROUP BY Q.event_id, Q.person_id, Q.start_date, Q.end_date, Q.op_start_date, Q.op_end_date
+  ) MG -- matching groups
+{4 != 0}?{
+  -- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask
+  WHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),4)-1)
+}
+) Results
+WHERE Results.ordinal = 1
+;
+
+
+
+-- generate cohort periods into #final_cohort
+select person_id, start_date, end_date
+INTO #cohort_rows
+from ( -- first_ends
+	select F.person_id, F.start_date, F.end_date
+	FROM (
+	  select I.event_id, I.person_id, I.start_date, CE.end_date, row_number() over (partition by I.person_id, I.event_id order by CE.end_date) as ordinal
+	  from #included_events I
+	  join ( -- cohort_ends
+-- cohort exit dates
+-- By default, cohort exit at the event's op end date
+select event_id, person_id, op_end_date as end_date from #included_events
+    ) CE on I.event_id = CE.event_id and I.person_id = CE.person_id and CE.end_date >= I.start_date
+	) F
+	WHERE F.ordinal = 1
+) FE;
+
+
+select person_id, min(start_date) as start_date, DATEADD(day,-1 * 0, max(end_date)) as end_date
+into #final_cohort
+from (
+  select person_id, start_date, end_date, sum(is_start) over (partition by person_id order by start_date, is_start desc rows unbounded preceding) group_idx
+  from (
+    select person_id, start_date, end_date, 
+      case when max(end_date) over (partition by person_id order by start_date rows between unbounded preceding and 1 preceding) >= start_date then 0 else 1 end is_start
+    from (
+      select person_id, start_date, DATEADD(day,0,end_date) as end_date
+      from #cohort_rows
+    ) CR
+  ) ST
+) GR
+group by person_id, group_idx;
+
+DELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;
+INSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)
+select @target_cohort_id as cohort_definition_id, person_id, start_date, end_date 
+FROM #final_cohort CO
+;
+
+{1 != 0}?{
+-- BEGIN: Censored Stats
+
+delete from @results_database_schema.cohort_censor_stats where cohort_definition_id = @target_cohort_id;
+
+-- END: Censored Stats
+}
+{1 != 0 & 4 != 0}?{
+
+-- Create a temp table of inclusion rule rows for joining in the inclusion rule impact analysis
+
+select cast(rule_sequence as int) as rule_sequence
+into #inclusion_rules
+from (
+  SELECT CAST(0 as int) as rule_sequence UNION ALL SELECT CAST(1 as int) as rule_sequence UNION ALL SELECT CAST(2 as int) as rule_sequence UNION ALL SELECT CAST(3 as int) as rule_sequence
+) IR;
+
+
+-- Find the event that is the 'best match' per person.  
+-- the 'best match' is defined as the event that satisfies the most inclusion rules.
+-- ties are solved by choosing the event that matches the earliest inclusion rule, and then earliest.
+
+select q.person_id, q.event_id
+into #best_events
+from #qualified_events Q
+join (
+	SELECT R.person_id, R.event_id, ROW_NUMBER() OVER (PARTITION BY R.person_id ORDER BY R.rule_count DESC,R.min_rule_id ASC, R.start_date ASC) AS rank_value
+	FROM (
+		SELECT Q.person_id, Q.event_id, COALESCE(COUNT(DISTINCT I.inclusion_rule_id), 0) AS rule_count, COALESCE(MIN(I.inclusion_rule_id), 0) AS min_rule_id, Q.start_date
+		FROM #qualified_events Q
+		LEFT JOIN #inclusion_events I ON q.person_id = i.person_id AND q.event_id = i.event_id
+		GROUP BY Q.person_id, Q.event_id, Q.start_date
+	) R
+) ranked on Q.person_id = ranked.person_id and Q.event_id = ranked.event_id
+WHERE ranked.rank_value = 1
+;
+
+-- modes of generation: (the same tables store the results for the different modes, identified by the mode_id column)
+-- 0: all events
+-- 1: best event
+
+
+-- BEGIN: Inclusion Impact Analysis - event
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 0 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #qualified_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 0 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #qualified_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #qualified_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 0 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 0;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 0 as mode_id
+FROM
+(select count_big(event_id) as total from #qualified_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 0 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - event
+
+-- BEGIN: Inclusion Impact Analysis - person
+-- calculte matching group counts
+delete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count, mode_id)
+select @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count_big(*) as person_count, 1 as mode_id
+from
+(
+  select Q.person_id, Q.event_id, CAST(SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) AS bigint) as inclusion_rule_mask
+  from #best_events Q
+  LEFT JOIN #inclusion_events I on q.person_id = i.person_id and q.event_id = i.event_id
+  GROUP BY Q.person_id, Q.event_id
+) MG -- matching groups
+group by inclusion_rule_mask
+;
+
+-- calculate gain counts 
+delete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total, mode_id)
+select @target_cohort_id as cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total, 1 as mode_id
+from #inclusion_rules ir
+left join
+(
+  select i.inclusion_rule_id, count_big(i.event_id) as person_count
+  from #best_events Q
+  JOIN #inclusion_events i on Q.person_id = I.person_id and Q.event_id = i.event_id
+  group by i.inclusion_rule_id
+) T on ir.rule_sequence = T.inclusion_rule_id
+CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+CROSS JOIN (select count_big(event_id) as total from #best_events) EventTotal
+LEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.mode_id = 1 AND SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule'
+;
+
+-- calculate totals
+delete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id and mode_id = 1;
+insert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count, mode_id)
+select @target_cohort_id as cohort_definition_id, PC.total as person_count, coalesce(FC.total, 0) as final_count, 1 as mode_id
+FROM
+(select count_big(event_id) as total from #best_events) PC,
+(select sum(sr.person_count) as total
+  from @results_database_schema.cohort_inclusion_result sr
+  CROSS JOIN (select count(*) as total_rules from #inclusion_rules) RuleTotal
+  where sr.mode_id = 1 and sr.cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1
+) FC
+;
+
+-- END: Inclusion Impact Analysis - person
+
+TRUNCATE TABLE #best_events;
+DROP TABLE #best_events;
+
+TRUNCATE TABLE #inclusion_rules;
+DROP TABLE #inclusion_rules;
+}
+
+
+
+TRUNCATE TABLE #cohort_rows;
+DROP TABLE #cohort_rows;
+
+TRUNCATE TABLE #final_cohort;
+DROP TABLE #final_cohort;
+
+TRUNCATE TABLE #inclusion_events;
+DROP TABLE #inclusion_events;
+
+TRUNCATE TABLE #qualified_events;
+DROP TABLE #qualified_events;
+
+TRUNCATE TABLE #included_events;
+DROP TABLE #included_events;
+
+TRUNCATE TABLE #Codesets;
+DROP TABLE #Codesets;
+
diff --git a/tests/eunomia.duckdb b/tests/eunomia.duckdb
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