Theresults showed that age, hospitalization days, coronary heart disease history,heart rate, INR, Hb and MPV were independent predictors of AF in AMI patients,and the AUC of the nomogram model was significantly better than that of a singleindicator, indicating that the integration of multi-dimensional variables cansignificantly improve the prediction accuracy. This evidence concerns the gene GSTM1 and coronary artery disorder.