Nutritional Indices and Hematoma Expansion in Intracerebral Hemorrhage Patients

A 2023-2024 study of 349 patients with intracerebral hemorrhage (ICH) investigated associations between three nutritional indices and hematoma expansion (HE). The analysis found 42 patients (12.0%) developed HE, with the CONUT score showing a significant positive association.

Use Cases

• Train a logistic regression model to predict hematoma expansion (HE) using the CONUT, PNI, and TCBI nutritional indices.
• Analyze the association pattern between CONUT scores and HE risk using restricted cubic spline (RCS) analysis.
• Perform subgroup analysis to evaluate the consistency of the CONUT-HE association across different patient cohorts.

Strengths

• Analysis is based on 349 patient records from a defined 2023-2024 study period.
• Examines three specific nutritional indices (PNI, TCBI, CONUT) for association with a clinically defined HE outcome.
• Results include multivariable logistic regression, RCS analysis, and sensitivity analyses for robustness.

Limitations

• The dataset is small, with only 349 patients and 42 HE events, limiting statistical power for complex modeling.
• Data is from a single retrospective study, which may introduce selection bias and limit generalizability.

Provenance

Source

figshare, authored by Shuang Zhao.

Collection Method

Retrospective study of patients with ICH admitted to a hospital.

Time Range

January 2023 to December 2024.

Freshness

Data covers patients admitted between January 2023 and December 2024.