Intracerebral Hemorrhage Patient Data for VTE Risk Analysis

785 patients with intracerebral hemorrhage were analyzed from the eICU Collaborative Research Database. The dataset likely contains baseline demographics, comorbid conditions, laboratory parameters, and thromboprophylaxis practices. It was created by Hongfu Chen and published on figshare in May 2026.

Use Cases

• Identify independent predictors of venous thromboembolism based on patient comorbidities.
• Build risk stratification models based on atrial fibrillation status.
• Analyze associations between mechanical ventilation and thromboembolic events.
• Perform sensitivity analyses on VTE definitions using diagnostic coding and clinical text mining.

Strengths

• 785 patient records from a multicenter critical care database.
• 53 (6.75%) VTE cases identified via a multi-modal diagnostic approach.
• Analysis includes univariate and multivariate logistic regression results.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal or source bias inherent to the eICU database.

Provenance

Source

eICU Collaborative Research Database.

Collection Method

Retrospective cohort study using diagnostic coding, clinical text mining, and anticoagulation records.

Freshness

Last updated 2026-05-22 14:45:51; freshness should be verified.