MIMIC-IV Cohort Characteristics Across Exclusion Steps

Cohort characteristics across MIMIC-IV case study exclusion steps. This 5.5 KB Excel file was created by Jacob Gould Ellen and last updated in April 2026. It details the changes in patient cohort demographics and clinical metrics as subjects are filtered through successive exclusion criteria.

Use Cases

• Analyze how cohort size and mean age change between each exclusion step documented in the file.
• Assess shifts in gender distribution or other demographic variables across the documented filtering stages.
• Compare baseline clinical metrics, such as lab values or vital signs, before and after applying specific exclusion criteria.
• Validate the representativeness of a final study cohort by examining the attrition and characteristics of excluded groups.

Strengths

• Provides a structured, step-by-step view of cohort attrition, a key component for reproducible research.
• Released under a permissive CC-BY-4.0 license, enabling wide reuse and sharing.

Limitations

• The dataset is extremely small at 5.5 KB, indicating limited scope and likely a summary of a single case study.
• Without access to the specific column names, the exact demographic and clinical features available for analysis are unknown.
• The temporal coverage of the underlying MIMIC-IV patient data is not specified in the provided metadata.

Provenance

Source

Derived from the MIMIC-IV critical care database.

Collection Method

Created by applying sequential exclusion criteria to a MIMIC-IV case study cohort and recording the resulting characteristics.

Time Range

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Freshness

Last updated in April 2026, indicating planned future maintenance.

Geography

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