Machine Learning‐Enhanced TCAB Score for Predicting Postoperative Ischemic Stroke After CABG
The TCAB score, enhanced by machine learning, effectively predicted in-hospital ischemic stroke, 1-year ischemic stroke, and 1-year major adverse cardiovascular and cerebrovascular events post-coronary artery bypass grafting. It offers a practical tool for guiding preoperative revascularization and intraoperative embolic protection.
Authors
- Qilin Zhou (ORCID: https://orcid.org/0009-0007-3500-6022)
- Yajun Ma (ORCID: https://orcid.org/0000-0002-8324-3571)
- Yingjian Pei (ORCID: https://orcid.org/0009-0008-0648-0013)
- Qin Ye (ORCID: https://orcid.org/0000-0001-7842-4397)
- Tao Lü (ORCID: https://orcid.org/0000-0002-0931-1257)
- Guitao Zhang
- Yinghua Zhou (ORCID: https://orcid.org/0009-0000-7215-3987)
- Wenbo Li
- Na Zhao
- Xinmin Liu
- Fei Xu
- Nan Li
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Wuhu No 1 People's Hospital (CN)
Publication Details
- Journal
- Journal of the American Heart Association
- Published
- 2026-03-04
- DOI
- https://doi.org/10.1161/jaha.125.043567
- Citations
- 1
- Primary Topic
- Cardiac and Coronary Surgery Techniques
- Type
- article
- Field-Weighted Citation Impact
- 39.15