The endothelial activation and stress index (EASIX) predicts hazards of short- and long-term mortality in acute ischemic stroke: a retrospective cohort study.
Antonia Kleeberg, Thomas Luft, Peter A Ringleb, Julian Hotz et al.
Kernaussage
The Endothelial activation and stress index (EASIX) independently predicts short- and long-term mortality in acute ischemic stroke patients and improves risk stratification beyond established clinical scores.
Abstract
Endothelial activation and stress index (EASIX) is a biomarker of endothelial dysfunction and has been validated previously as a prognostic score for mortality in various diseases, including oncologic diseases, sepsis, and cardiac disease. Since endothelial dysfunction is an established mediator of adverse outcomes in acute ischemic stroke, this study investigates the prognostic value of EASIX for risk of mortality in these patients. We analyzed data from the Heidelberg (n = 4,188) and Vienna (n = 2,273) prospective acute ischemic stroke registries. EASIX was calculated as creatinine [mg/dL] × LDH [U/L] / platelet count [10 9 /L]. An EASIX cut-off was established using maximal Youden index. Validation was performed using Brier score and C-statistics. Higher EASIX was associated with higher risk of mortality in the training cohort in a multivariable Cox regression (HR of all-cause mortality per log2 increase: 1.20 (95% CI 1.12-1.28), p < 0.001). An optimal EASIX cut-off value of 1.211 was identified in the derivation cohort. In the independent validation cohort, this cut-off was associated with risk of 3-month mortality in a multivariable binary logistic regression model (OR 1.86 (1.28-2.70), p < 0.01). Brier score and C-statistics validated the superior predictive performance of EASIX in the multivariable model. EASIX predicts mortality in acute ischemic stroke patients and retained prognostic validity across two heterogeneous European cohorts. Incorporation of EASIX improved risk stratification beyond established clinical scores. EASIX may serve as a useful tool for risk stratification and outcome prediction in acute ischemic stroke patients.
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