Risk factors and prediction model for acute ischemic stroke after off-pump coronary artery bypass grafting based on Bayesian network
Female gender, IS history, carotid stenosis (> 70%), RDW-CV, GA, D-dimer, BUN, and T2DM are potential predictors of IS in our Chinese cohort. The BN model demonstrated greater efficiency than the logistic regression model. Hence, employing BN models could be conducive to the early diagnosis and prevention of AIS after OPCABG.
Authors
- Guobin Yuan
- Bo-Yi Yuan
- Junjie Zou (ORCID: https://orcid.org/0000-0002-4824-400X)
- Bin Cai (ORCID: https://orcid.org/0000-0002-8046-6040)
- Zeyu Ji
- Guang-Zhi Liu (ORCID: https://orcid.org/0000-0001-8953-0005)
- Wenlong Zou (ORCID: https://orcid.org/0000-0002-6700-6330)
- C.‐B. CUI
- Haipeng Zhao
- Ming Ren
- Tingting Yang (ORCID: https://orcid.org/0000-0002-6808-7590)
- Chao Wu (ORCID: https://orcid.org/0000-0002-4603-0390)
Institutions
- Qingdao University (CN)
- Capital Medical University (CN)
- Beijing Chao-Yang Hospital, Capital Medical University (CN)
- Affiliated Hospital of Qingdao University (CN)
- Beijing Anzhen Hospital (CN)
- Qingdao Municipal Hospital (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1186/s12911-024-02762-2
- Citations
- 1
- Primary Topic
- Cardiac and Coronary Surgery Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.57
Funders
- National Natural Science Foundation of China