Objective:To analyze the risk factors of myocardial infarction(PMI)after coronary endarterectomy(CE)in patients with diffuse coronary artery disease(DCAD)and to construct a predictive model.Methods:A retrospective study was conducted to select the clinical data of 350 patients with DCAD who underwent CE treatment in Shandong Provincial Medical College/First Affiliated Hospital of Shandong Provincial Medical College from August 2021 to August 2023 as the research objects.They were divided into modeling group and verification group(7∶3 ratio)by simple random sampling method.The clinical data of patients with PMI were included in the PMI group,and the clinical data of patients without PMI were included in the non-PMI group.Baseline data of patients were collected.Binary logistic regression analysis was used to analyze the risk factors of PMI after CE in DCAD patients and construct a nomogram to verify the nomogram model.Results:PMI occurred in 64 cases(26.1%)in the modeling group and 25 cases(23.8%)in the validation group(x2=0.207,P=0.649);The Syntax score,LVEDD,hs-CRP level and proportion of patients with diabetes mellitus in the PMI group were higher than those in the non-PMI group,while LVEF and creatinine clearance rate were lower than those in the non-PMI group(P<0.05);The high levels of Syntax score,LVEDD,hs-CRP and diabetes mellitus were the risk factors of PMI after CE in DCAD patients(OR>1,P<0.05),and high levels of LVEF and creatinine clearance rate were protective factors for PMI after patients(OR<1,P<0.05);The AUC of the modeling group was 0.960(95%CI:0.928-0.992,P<0.001),and the AUC of the validation group was 0.953(95%CI:0.917-0.988,P<0.001).Conclusion:Syntax score,LVEDD,hs-CRP,diabetes mellitus,LVEF and high creatinine clearance rate are independent factors for PMI after CE in DCAD patients,and the prediction efficiency of the model constructed according to them is better.
关键词
围术期心肌梗死/弥散性冠状动脉病变/冠状动脉内膜剥脱术/预测模型
Key words
Perioperative myocardial infarction/Diffuse coronary artery disease/Coronary Endarterectomy/Prediction model