Prognostic Value of the Endothelial Activation and Stress Index (EASIX) in Critically Ill Patients With Ischemic Stroke: A MIMIC-IV Database Analysis.

Authors

Wen Bai, Manli Tao, Shaofei Li, Wei Shi, Kun Jiang, Ling Tian

Published in

Brain and behavior. Volume 16. Issue 8. Pages e71708.

Abstract

Systemic endothelial dysfunction is a critical driver of poor outcomes in ischemic stroke. We evaluated the prognostic value of the endothelial activation and stress index (EASIX) in critically ill stroke patients.
We analyzed 3063 patients with ischemic stroke from the MIMIC-IV database. The natural log-transformed EASIX (lnEASIX) was calculated from admission LDH, creatinine, and platelets. The primary outcome was designated as 28-day mortality, with secondary outcomes including in-hospital, 90-day, and 180-day mortality. Multivariable logistic and Cox proportional hazards regression, restricted cubic splines (RCS), and advanced clinical utility analyses (NRI, IDI, and decision curve analysis) were utilized.
Evaluated as a continuous variable, a per-unit increase in lnEASIX was independently associated with an elevated risk for the primary endpoint of 28-day mortality (OR 1.47, 95% CI 1.36-1.59, p < 0.001), as well as all secondary mortality endpoints. RCS analysis confirmed a strictly linear, monotonic dose-response relationship (p for nonlinearity > 0.05). While lnEASIX demonstrated moderate standalone discrimination (AUC 0.64-0.67, comparable to SOFA), integrating it with the baseline SOFA score yielded significant incremental predictive value (NRI 0.208, IDI 0.011; both p < 0.01) and superior net clinical benefit. Subgroup analysis revealed consistent prognostic utility across most strata, though the impact was markedly more pronounced in patients without pre-existing cancer (p for interaction < 0.05).
LnEASIX is a simple, robust, and continuous predictor of short- and long-term mortality in critically ill patients with ischemic stroke. Integrating this zero-cost biomarker with established intensive care scoring systems provides significant incremental value for early prognostic risk stratification.

PMID:
42625207
Bibliographic data and abstract were imported from PubMed on 21 Aug 2026.

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