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.