Risk prediction model of in-hospital heart failure in patients with coronary heart disease after percutaneous coronary intervention: development and validation

• Published in: Lu jun jun yi da xue xue bao Vol. 44; no. 12; pp. 1272 - 1279
• Main Authors: CAO Jiaoyu, ZHANG Lixiang, ZHOU Xiaojuan, YAO Xunxia, MA Likun
• Format: Journal Article
• Language: Chinese
• Published: Editorial Office of Journal of Army Medical University 01.06.2022
• Subjects: coronary heart disease; heart failure; nomogram; risk prediction
• ISSN: 2097-0927
• DOI: 10.16016/j.2097-0927.202110047

Objective To analyze the risk factors for heart failure in hospitalized patients with coronary heart disease (CHD) after percutaneous coronary intervention (PCI) and establish a personalized risk prediction model for heart failure after PCI. Methods The clinical data of 640 patients with CHD who were hospitalized and underwent PCI in our department from January 2017 to December 2018 were collected and retrospectively analyzed. The subjects were divided into heart failure group (n=44) and non-heart failure group (n=596) according to the occurrence of postoperative heart failure. Logistic multivariate regression analysis and R software were used respectively to screen the independent predictors and plot the nomogram prediction model of heart failure risk. Then, consistency index (C-index), area under the receiver operating characteristic (ROC) curve and calibration curve were subsequently adopted to evaluate the prediction efficiency of the model. Results Multivariate analysis showed that left ventricular eject