Machine Learning‐Enhanced TCAB Score for Predicting Postoperative Ischemic Stroke After CABG

Journal of the American Heart Association 2026 Open access

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Authors: Yingjian Pei, Guitao Zhang, Wenbo Li, Yao Feng, Nan Li, Na Zhao, Yajun Ma, Xinmin Liu, Qilin Zhou, Fei Xu, Yinghua Zhou, Shujuan Li
DOI: 10.1161/jaha.125.043567
Cited by: 1
References: 29

Abstract

BACKGROUND: Postoperative acute ischemic stroke remains a critical complication of coronary artery bypass grafting. This study aimed to develop a novel Total Cerebral Atherosclerosis Burden (TCAB) score for predicting the risk of AIS post-coronary artery bypass grafting. METHODS: A prospective cohort of patients undergoing coronary artery bypass grafting was enrolled. The TCAB score was calculated by summing stenosis severity grades (0:

Fields of Study & Subjects

Cardiac and Coronary Surgery Techniques Acute Ischemic Stroke Management Cerebrovascular and Carotid Artery Diseases

Publication details

Journal / source
Journal of the American Heart Association
Publisher
Ovid Technologies (Wolters Kluwer Health)
Volume
15
Issue
6
Pages
e043567–e043567
Publication date
4 March 2026
Language
EN