Statistical Analysis:
Data analysis was performed using the Statistical Product and Service Solutions (SPSS) software program (ver. 22.0, Chicago, Illinois). The Kolmogorov–Smirnov test was used to obtain the normality distribution of variances. The categorical variables were expressed as percentages (%) and counts (n). The continuous values were given as mean ± SD. The continuous variables were analyzed using an independent T test, and the categorical variables were compared using the Chi-Square test. The Kendall tau-b correlation coefficient was employed for the evaluation of correlation. An optimal cut-off value of the significant parameters were detected using receiver operator characteristic (ROC) curve analysis. The sensitivity and specificity, which were evaluated by the area under the curve (AUC), was applied to determine the accuracy of the test. A p value less than 0.05 was considered significant.