Abstract:Aim To investigate the correlation between the new version of the European System for Cardiac Operative Risk Evaluation Ⅱ (EuroSCORE Ⅱ) score, Gensini score and the occurrence of major adverse cardiovascular events (MACE) after percutaneous coronary intervention (PCI) in patients with coronary heart disease (CHD). Methods A total of 203 CHD patients undergoing PCI treatment admitted to the Department of Cardiovascular Surgery of the First Affiliated Hospital of Air Force Military Medical University from January 2021 to March 2023 were selected as the study objects. Depending on whether MACE happened or not, they were divided into MACE group and non-MACE group.The clinical data of the two groups of patients was compared. Pearson's correlation coefficient was used to analyze the correlation between EuroSCORE Ⅱ score and Gensini score; Logistic regression model was used to evaluate the risk factors for the development of MACE after PCI in patients with CHD; and ROC curves was used to analyze the predictive value of predictive indexes for the development of MACE after PCI in patients with CHD. Results In 203 cases of CHD patients who underwent PCI, 65 of them experienced MACE during the 1-year postoperative follow-up (32.02%). The age, rate of history of diabetes mellitus, rate of Killip classification ≥ gradeⅡ, rate of ≥ 2 diseased vessels, rate of ≥ 2 stents, EuroSCOREⅡscore, and Gensini score of the MACE group were higher than those of the non-MACE group, and the differences were all statistically significant (P<0.05). The results of the Pearson's correlation analysis indicated that there was a positive correlation between the EuroSCOREⅡscore and Gensini score (r=0.200, P=0.004). Logistic regression model analysis showed that age increase, Killip classification ≥ gradeⅡ, high EuroSCOREⅡscore, and high Gensini score were independent risk factors for the development of MACE after PCI in CHD patients (P<0.05). ROC curve analysis showed that age increase, Killip classification ≥ gradeⅡ, EuroSCOREⅡscore, Gensini score, and combined prediction had statistical significance in determining the occurrence of MACE after PCI (P<0.05); The area under the curve (AUC) of combined prediction was 0.3,5%CI was 0.928~0.979, sensitivity was 0.892, specificity was 0.891, indicating high predictive value. Conclusion Age increase, Killip classification≥gradeⅡ, high EuroSCOREⅡscore, and high Gensini score are independent risk factors for the occurrence of MACE after PCI in patients with CHD, and all of them have a certain predictive value for MACE after PCI in patients with CHD, and the combined predictive value is higher.