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Huaigen Wang,1 Aiqun Ma,1,2 Tingzhong Wang1,2 1Department of Cardiovascular Medicine, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China; 2Shaanxi Key Laboratory of Molecular Cardiology (Xi’an Jiaotong University), Xi’an, Shaanxi, People’s Republic of ChinaCorrespondence: Aiqun Ma; Tingzhong Wang, Email aiqun.ma@xjtu.edu.cn; tingzhong.wang@xjtu.edu.cnObjective: Approximately 50% of ST-segment elevation myocardial infarction (STEMI) patients have multivessel coronary artery disease (MVD). The management strategy for these patients remains controversial. This study aimed to develop predictive models and nomogram of outcomes in STEMI patients with MVD for better identification and classification.Methods: The least absolute shrinkage and selection operator (LASSO) method was used to select the features most significantly associated with the outcomes. A Cox regression model was built using the selected variables. One nomogram was computed from each model, and individual risk scores were obtained by applying the nomograms to the cohort. After regrouping patients based on nomogram risk scores into low- and high-risk groups, we used the Kaplan–Meier method to perform survival analysis.Results: The C-index of the major adverse cardiovascular event (MACE)-free survival model was 0· 68 (95% CI 0· 62– 0· 74) and 0· 65 [0· 62– 0· 68]) at internal validation, and that of the overall survival model was 0· 75 (95% CI 0· 66– 0· 84) and (0· 73 [0· 65– 0· 81]). The predictions of both models correlated with the observed outcomes. Low-risk patients had significantly lower probabilities of 1-year or 3-year MACEs (4% versus 11%, P= 0.003; 7% versus 15%, P=0.01, respectively) and 1-year or 3-year all-cause death (1% versus 3%, P=0.048; 2% versus 7%, respectively, P=0.001) than high-risk patients.Conclusion: Our nomograms can be used to predict STEMI and MVD outcomes in a simple and practical way for pati