Association between estimation of pulse wave velocity and all-cause mortality in critically ill patients with ischemic stroke: a retrospective cohort study and predictive model establishment based on machine learning.

ABSTRACT:

Background

Estimated pulse wave velocity (ePWV) has been established as a simple yet effective tool for assessing arterial stiffness and predicting long-term cardiovascular and cerebrovascular mortality. However, the association between ePWV and poor prognosis in critically ill patients with ischemic stroke (IS) remains understudied. This study aimed to investigate the relationship between ePWV and adverse outcomes in critically ill IS patients.

Methods

We conducted a retrospective cohort study using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV, version 3.0), stratified by ePWV quartiles. Our primary objective was to examine mortality rates at pivotal timeframes: 30 days, 90 days, and 1-year post-observation. Kaplan-Meier (KM) curves complemented th

SUBMITTER: Zhao S 

PROVIDER: S-EPMC12465449 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature