Objective To explore the risk of contrast-induced nephropathy （CIN） after percutaneous coronary intervention in patients with acute myocardial infarction， and to construct a corresponding model. Methods 144 patients with acute myocardial infarction who had admitted to Liupanshui shenggang shuigang Hospital from May 2021 to March 2023 were retrospectively selected as research objects， and randomly divided into a modeling group （103 patients） and a verification group （41 patients） according to a 2：1 ratio. The patients in the modeling group were divided into a CIN group （38 patients） and a CIN group （65 patients） according to whether CIN occurred after surgery. The LASSO regression model and 10-fold cross-validation method were used to obtain the best risk predictors of CIN after the procedure， and multiple logistic regression was used to analyze the independent risk factors affecting CIN. The nomogram model was constructed and evaluated. Results The postoperative incidence of CIN was 36.89% （38/103）. Age， diabetes mellitus， LVEF， dosage of contrast agent and Scr were independent risk factors for CIN （P < 0.05）. The receiver operating characteristic curve （ROC） and calibration curve constructed by the data sets from the modeling group and validation group showed better predictive efficiency of the line graph model. The risk stratification system divided patients into four subgroups： very low risk group （total score < 65）， low risk group （total score < 150）， medium risk group （total score < 200） and high risk group （total score 200）. There were significant differences in the incidence of CIN among the patients with different risk scores （χ2 = 17.495， P = 0.001）. Conclusions The line graph model constructed by age，diabetes，LVEF，dosage of contrast agent，Scr and other indicators has better predictive value for CIN after percutaneous coronary intervention.