Cerebral Perfusion Pressure Trajectories and Mortality in Acute Brain Injury ICU Patients

A multicenter retrospective cohort study of 1,466 adults with acute brain injury from three ICU databases (MIMIC-IV, eICU, and NSICU). The dataset was created by Juan Wang and last updated in May 2026, analyzing associations between CPP trajectory phenotypes, cumulative metrics, and in-hospital mortality.

Use Cases

• Predicting in-hospital mortality based on cerebral perfusion pressure trajectory phenotypes.
• Evaluating the prognostic value of cumulative CPP metrics derived from threshold-specific and mixed-effects methods.
• Training survival analysis models using the identified Stable Normal, Gradual Recovery, Labile Improvement, and Rapid Decline phenotypes.

Strengths

• Contains data from 1,466 adult patients across three established ICU databases (MIMIC-IV, eICU, NSICU).
• Analysis includes four distinct CPP trajectory phenotypes with associated hazard ratios for mortality.
• Results show statistically significant associations (all P < 0.001) between CPP metrics and mortality outcomes.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Data is provided in a DOCX file format, which may require extraction and conversion for analysis.

Provenance

Source

Multicenter retrospective cohort study from three ICU databases: MIMIC-IV, eICU, and NSICU.

Collection Method

Retrospective data collection and analysis using latent class growth modeling and multivariable Cox regression.

Freshness

Last updated 2026-05-22 06:04:02; freshness should be verified.