The impact of early nutritional and immune status assessment on all-cause mortality in patients with intracerebral hemorrhage in the intensive care unit: a retrospective study - Summary - MDSpire

The impact of early nutritional and immune status assessment on all-cause mortality in patients with intracerebral hemorrhage in the intensive care unit: a retrospective study

  • By

  • Jun Chen

  • Hui-Zhen Chen

  • Jun-Feng Lu

  • Yi-Yi Wu

  • Jian-Ting Gao

  • July 7, 2026

  • 0 min

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Objective:

To assess the association between the hemoglobin–albumin–lymphocyte platelet (HALP) score and all-cause mortality among patients with intracerebral hemorrhage (ICH).

Approach:
  • Data Collection: Retrospective data was collected from two distinct cohorts of patients with ICH.
  • Statistical Analysis: Kaplan–Meier survival curves and restricted cubic spline (RCS) regression analysis were used to analyze the association between the HALP score and mortality outcomes.
  • Risk Prediction Model: A risk prediction nomogram was developed and validated in an external cohort.
Key Findings:
  • 30-day, 90-day, and 365-day mortality rates were 29.08%, 34.49%, and 41.84%, respectively, among 925 ICH patients.
  • The Q1 group (HALP < 16.87) had significantly higher mortality rates than other groups (all p < 0.001).
  • A non-linear correlation was found between the HALP score and mortality risk.
  • The nomogram achieved an area under the receiver operating characteristic (AUROC) curve of 0.825, indicating strong sensitivity and specificity.
Interpretation:

A lower HALP score is associated with increased mortality in ICH patients, and the developed risk stratification tool can help identify high-risk individuals.

Limitations:
  • The study is retrospective and may be subject to biases inherent in such designs.
  • External validation was performed, but further studies are needed to confirm findings across diverse populations.
Conclusion:

The HALP score serves as a useful prognostic tool for assessing mortality risk in ICH patients.

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