Endothelial activation and stress index is a reliable predictor for the prevalence and mortality outcomes of stroke

作者：Yongwei Huang, Zongping Li, Jianjun Wang, Decai Wang, Xiaoshuang Yin · 发表于：Scientific Reports · 年份：2025 · DOI：10.1038/s41598-025-06595-5 · 被引用次数：17 · 研究领域：Acute Ischemic Stroke Management、Neuroinflammation and Neurodegeneration Mechanisms、Neurological Disease Mechanisms and Treatments

The endothelial activation and stress index (EASIX) can predict endothelial intricacies as well as survival in distinct clinical circumstances. Accordingly, we hypothesize that EASIX may also serve as a predictor for stroke prevalence and mortality outcomes-all-cause mortality (ACM) and cardiovascular mortality (CVM) due to stroke. To validate our hypothesis, we deployed the National Health and Nutrition Examination Survey data. This cohort study employed 1999-2018 NHANES data. To evaluate EASIX effects on stroke risk, weighted logistic regression models were deployed. Meanwhile, we utilized the weighted Cox proportional hazards model for the calculation of hazard ratios (HRs) and 95% confidence intervals (CI) for mortality outcomes. The Kaplan-Meier curves were utilized, seeking the assessment of the interplay between the EASIX and both ACM and CVM among stroke patients. Using restricted cubic spline (RCS) curves, the potential non-linear or linear relations were investigated between the EASIX and both stroke prevalence and mortality outcomes. Subgroup analyses were performed to further assess the interconnection that existed between the EASIX and both stroke presence and its mortality outcomes. Interaction tests between covariates were also performed. Assessment of diagnostic value was done via receiver operating characteristic (ROC) curves. The area under the curve (AUC) was measured to estimate the EASIX predictive values for stroke prevalence and mortality outcomes. Of 4...