Abstract:Aim To explore the risk factors of major adverse cardiovascular events(MACE) after percutaneous coronary intervention (PCI) in patients with coronary artery calcification(CAC), and to construct a nomogram prediction model for MACE in CAC patientsafter PCI. Methods Retrospective analysis of clinical data of 406 patients admitted to the Department of Cardiology of the Fourth Affiliated Hospital of Xinjiang Medical University from January 2018 to December 2019, they were diagnosed with CAC by coronary angiography (CAG) or intravascular ultrasound (IVUS) and underwent PCI. The subjects were divided into event group (60 cases) and non-event group (346 cases) according to the incidence of MACE during the follow-up period. The LASSO regression and multivariate Logistic regression analysis were used to determine the independent risk factors of MACE in CAC patients after PCI, and then a nomogram prediction model was constructed and evaluated. Results LASSO regression and multivariate Logistic regression analysis results showed that advanced age, diabetes, renal dysfunction, elevated Gensini score and rotational atherectomy were risk factors for the incidence of MACE, and enlarged minimum lumen diameter (MLD) was a protective factor for the incidence of MACE (P＜0.05). The nomogram prediction model was constructed using the above six predictive indicators. After internal validation, the AUC values of nomogram for predicting MACE in CAC patients after PCI was 0.824 (95%CI:0.767～0.875), the sensitivity was 0.771, and the specificity was 0.720, suggesting that the model had a good discrimination. The calibration curve indicated that the deviation correction curve of the nomogram prediction model had good consistency with the ideal curve. The clinical decision curve analysis (DCA) suggested that when the prediction threshold of the model was in range of 0～0.6, the patients clinical net benefit level was the highest, and the nomogram model had good clinical applicability. Conclusion The nomogram prediction model established in this study can better quantitatively assess the risk degree of MACE in CAC patients after PCI, which is helpful for clinicians to screen high-risk patients, formulate individualized targeted interventions, and improvepatients, prognosis.