The multiple linear regression model: to predict peak metabolic equivalents and peak oxygen pulse in patients with coronary artery disease after percutaneous coronary intervention

The multiple linear regression model: to predict peak metabolic equivalents and peak oxygen pulse in patients with coronary artery disease after percutaneous coronary intervention

BackgroundThe clinical indicators of patients with coronary artery disease (CAD) often affect their prognosis. Cardiopulmonary Exercise Testing (CPET) can effectively evaluate the cardiopulmonary ability of CAD patients. The objective of this research was to explore the correlation between some clin...

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Bibliographic Details
Main Authors: Wenqing Xu, Yin Xiang, Bo Liu, Jianhua Yan, Tingting Zhang, Wanqi Yu, Jia Han, Shu Meng
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
coronary artery disease
cardiopulmonary exercise testing
cardiopulmonary ability
regression model
prediction equations
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2025.1459411/full
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https://www.frontiersin.org/articles/10.3389/fcvm.2025.1459411/full

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