Analysis of influencing factors of revascularization after percutaneous coronary intervention in patients with coronary heart disease and construction of nomogram model

Abstract

Abstract Objective To analyze the influencing factors of revascularization in patients with coronary heart disease after PCI, and to construct a Nomo diagram model of revascularization in patients with coronary heart disease after PCI and conduct internal verification. Methods Patients with coronary heart disease who underwent PCI in the National Key Specialty Cardiology Department of a tertiary and first-class hospital in Zhenjiang City from January 2015 to November 2015 were retrospectively collected as the research subjects. Multivariate Logistic regression was used to analyze the influencing factors of repeat revascularization after PCI in patients with coronary heart disease, and a nomogram model was established to predict the risk of repeat revascularization after PCI in patients with coronary heart disease. The predictive performance of the model was internally validated using ROC curves. Results Multivariate analysis showed that poor daily life behaviors [OR=4.208, 95%CI(1.828, 9.686)], high risk of coronary heart disease specific index [OR=3.308, 95%CI(1.157, 9.453)], high fat Hyperemia [OR=7.262, 95%CI(3.236, 16.296)], multivessel disease [OR=2.691, 95%CI(1.061, 6.822); OR=6.068, 95%CI(2.467, 14.925)] was coronary heart disease The independent risk factors of revascularization in patients (P<0.05) were included in the model. Model internal validation AUC value was 0.830 [95%CI (0.782, 0.870), P<0.05], Youden index was 0.5530, specificity was 85.48%, sensitivity was 69.81%, and cut-off value was 122.39 points. Conclusion The main influencing factors of poor daily living behavior, high risk of coronary heart disease-specific index, hyperlipidemia and multivessel disease, the nomogram model established based on the above factors has good predictive performance.