Development and validation of a predictive model for in-hospital mortality in patients with coronary heart disease and renal insufficiency

Development and validation of a predictive model for in-hospital mortality in patients with coronary heart disease and renal insufficiency

Background: Coronary Heart Disease (CHD) with renal insufficiency is a significant global health issue. This study aimed to develop and validate a predictive model for in-hospital mortality to enable early risk identification in these patients. Methods: We analyzed data from 11,830 CHD patients with...

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Bibliographic Details
Main Authors: Yahui Li, Hongsen Cai, Wei Zheng, Meijie Wang, Man Huang, Luyun Wang, Daowen Wang, Chunxia Zhao, Wenguang Hou, Hu Ding, Yan Wang, Hongling Zhu
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:International Journal of Cardiology. Cardiovascular Risk and Prevention
Subjects:
Coronary heart disease
Renal insufficiency
Machine learning
Death
Shapley additive explanation
Online Access:http://www.sciencedirect.com/science/article/pii/S2772487525001011
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