Prediction of obstructive coronary artery disease in people living with HIV: value of machine learning incorporating HIV-specific factors
The ML model incorporating cardiovascular risk factors and HIV-specific factors can more accurately estimate the pretest likelihood of obstructive CAD in PLWH than traditional models. ML improves risk stratification in HIV populations and may help guide management.
Authors
- Hong Shang (ORCID: https://orcid.org/0000-0001-5333-8943)
- Haibo Ding (ORCID: https://orcid.org/0000-0002-9445-5473)
- Zhaoxin Tian
- Han Li
- Yue Zheng
- Ting Liu (ORCID: https://orcid.org/0000-0003-0604-0313)
- Huaibi Huo (ORCID: https://orcid.org/0000-0001-8619-9302)
- Xiaolin Li (ORCID: https://orcid.org/0000-0003-1524-051X)
- Hui Liu (ORCID: https://orcid.org/0000-0002-7669-9386)
- Yue Li (ORCID: https://orcid.org/0000-0002-7727-905X)
- Jie Zhou (ORCID: https://orcid.org/0000-0001-7701-234X)
- Yu Yang (ORCID: https://orcid.org/0009-0008-6581-9515)
- Xin Peng (ORCID: https://orcid.org/0000-0003-2620-1188)
- Zhaodi Geng
Institutions
- Shanxi Medical University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Shaanxi Provincial People's Hospital (CN)
- Third People's Hospital of Chengdu (CN)
- Shenyang Center for Disease Control and Prevention (CN)
- Jinshan Hospital of Fudan University (CN)
- First Hospital of China Medical University (CN)
- Shanxi Provincial People’s Hospital (CN)
- Siemens (China) (CN)
- China Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-09-16
- DOI
- https://doi.org/10.3389/fmed.2025.1661990
- Primary Topic
- Cardiovascular Disease and Adiposity
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Chinese Academy of Medical Sciences