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

Elevated levels of the ePWV demonstrate strong prognostic value for both short- and long-term mortality in critically ill IS patients. Machine learning models incorporating ePWV outperformed traditional clinical scores, suggesting potential utility for risk stratification in acute stroke management.

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Publication Details

Journal
BMC Neurology
Published
2025-09-26
DOI
https://doi.org/10.1186/s12883-025-04385-0
Primary Topic
Cardiovascular Health and Disease Prevention
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Rongyao Hou, Yu Guo, Lina Sui, Xiaoyan Zhu et al.
BMC Neurology
Cardiovascular Health and Disease Prevention
article

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

Rongyao Hou, Yu Guo, Lina Sui, Xiaoyan Zhu, Shiyin Ma, Chang Zhu, Chucheng Jiao, Shuangmei Zhao
article en

Abstract

Elevated levels of the ePWV demonstrate strong prognostic value for both short- and long-term mortality in critically ill IS patients. Machine learning models incorporating ePWV outperformed traditional clinical scores, suggesting potential utility for risk stratification in acute stroke management.

BMC NeurologyVol. 25(1)
Qingdao University (CN), Affiliated Hospital of Qingdao University (CN), Tsinghua University (CN)
Natural Science Foundation of Shandong Province
Openalex Percentile: Top 60%
Cardiovascular Health and Disease Prevention
DOIOpen Access PDFOpenAlex
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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 — Rongyao Hou, Yu Guo, et al. · BMC Neurology (2025) | TGRS Research Map | TGRS