ArticleFrontiers in medicine2026
The endothelial activation and stress index as a predictor of 28-day mortality in pulmonary sepsis: a retrospective two-cohort analysis.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Association of the Endothelial Activation and Stress Index (EASIX) with Clinical Outcomes in Patients with Pneumosepsis: A Retrospective Cohort Study.Life (Basel, Switzerland) · 2026Article
- Prognostic value of the endothelial activation and stress index (EASIX) for in-hospital and overall mortality in patients undergoing transcatheter aortic valve implantation.BMC cardiovascular disorders · 2026Article
- Association between Endothelial Activation and Stress Index and mortality in patients with coronary heart disease at intensive care unit: a retrospective cohort study.Journal of thoracic disease · 2026Article
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Authors and funding
4 authors.
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Abstract
Background: The Endothelial Activation and Stress Index (EASIX) is an emerging biomarker that serves as a straightforward and objective measure of systemic endothelial dysfunction and critical illness severity. This study aims to evaluate the prognostic value of EASIX for 28-day mortality in patients with pulmonary sepsis. Materials and methods: This retrospective study utilised a two-cohort design. The internal cohort was derived from MIMIC-IV; an external cohort was derived from a tertiary hospital (2022-2025). The association between the EASIX and 28-day mortality was evaluated using multivariable Cox regression, restricted cubic spline (RCS) analysis, and Kaplan-Meier survival curves. An ensemble machine-learning approach (Boruta, LASSO-COX, XGBoost, and SVM) was employed for feature selection. Significant predictors were incorporated into a multivariate Cox model to construct a prognostic nomogram. The model's discriminative performance was assessed using receiver operating characteristic (ROC) curves and the area under the curve (AUC), and compared against conventional severity scores. Results: A total of 5,416 patients were analyzed. In multivariable adjusted models, the EASIX emerged as an independent predictor of short term mortality. Each unit increase in EASIX was associated with a 7% higher risk of 28-day ICU death (HR 1.07, 95% CI 1.05-1.11, Conclusion: EASIX is a potent and independent predictor of short-term mortality in pulmonary sepsis. Its integration into a pragmatic prognostic model enhances early risk stratification, highlighting its potential as a readily available clinical tool.
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