The multiple linear regression model: to predict peak metabolic equivalents and peak oxygen pulse in patients with coronary artery disease after percutaneous coronary intervention
BMI, Hgb, age and Gensini score can be used to predict peak METs and BMI, Hgb and age can be used to predict O<sub>2</sub>P<sub>peak</sub> in patients with CAD clinically. Thus, tailored exercise program should be prescribed for individual CAD patient undergoing cardiac rehabilitation and modifying clinical factors such as BMI, Hgb and Gensini score will help to improve their cardiorespiratory fitness and quality of life.
Authors
- Jia Han (ORCID: https://orcid.org/0000-0003-3071-420X)
- Yin Xiang (ORCID: https://orcid.org/0000-0002-3925-9568)
- Tingting Zhang (ORCID: https://orcid.org/0000-0002-0375-3230)
- Shu Meng (ORCID: https://orcid.org/0000-0002-0653-2644)
- Jianhua Yan (ORCID: https://orcid.org/0000-0002-1199-8967)
- Wanqi Yu
- Bo Liu (ORCID: https://orcid.org/0009-0005-6182-8172)
- Wenqing Xu (ORCID: https://orcid.org/0000-0001-8199-9693)
Institutions
- Shanghai Jiao Tong University (CN)
- XinHua Hospital (CN)
- Shanghai University of Traditional Chinese Medicine (CN)
- Shanghai University of Medicine and Health Sciences (CN)
- Shanghai Sixth People's Hospital (CN)
- Shuguang Hospital (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-04-29
- DOI
- https://doi.org/10.3389/fcvm.2025.1459411
- Primary Topic
- Cardiovascular Function and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 0.00