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.