〔Abstract〕 To collect the clinical data of 306 patients with acute myocardial infarction(AMI) and the occurrence of death during 1 year follow-up. The raw data were randomly divided into modeling group and validation group according to the scale of 7 ∶3. The modeling group used the least absolute shrinkage and selection operator(LASSO) regression and Logistic regression to screen the risk predictors of death at 1 year after operation to construct a nomogram model. The validation group used receiver operating characteristic curve(ROC) curve and Hosmer-Lemeshow deviation test to evaluate the prediction efficiency of the nomogram model. The number of lesions, cystatin C, and left ventricular ejection fraction(LVEF) was the influencing factors of death at 1 year after operation in patients with AMI. The area under the ROC curve of the nomogram model for predicting the risk of death was 0.824(0.621～1.000)(P<0.05), and the Hosmer-Lemeshow deviation test result was χ2=6.090(P=0.637), suggesting that the nomogram model had good discrimination and calibration, and could be used to predict the risk of 1 year postoperative death in patients with AMI.