ROC curve evaluation of predictive model performance revealed that the AUC of this predictive model was 0.765 (95% CI=0.721~0.809), and the predictive values of the individual predictive factors in this model were as follows: TIR and the type of incision predict the risk of postoperative infection in T2DM patients as 0.638 and 0.636, respectively, which are greater than those of TC (AUC=0.611), NEU (AUC=0.608), SOD (AUC=0.603), and LYM (AUC=0.597) (Figure 4A). This evidence concerns the gene SOD1 and type 2 diabetes mellitus.