Systatistical Analysis:
The results are presented as the mean – standard deviation (SD). Data were analyzed using SPSS 22.0 for Windows (SPSS, Inc., Chicago, IL). Statistical analyses of the means
of continuous variables were performed with the Mann–Whitney U test. Categorical variables were compared by Chi-Square test. Binary logistic regression analysis was performed to determine independent risk factors affecting postoperative urinary infection. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was estimated to evaluate the sensitivity and specificity of the OT in terms of predicting the infective complications. The best cutoff value was determined using the Youden index. The AUC, sensitivity, and specificity were compared using their 95% confidence intervals (CIs). The results were considered significant at p<0.05.