Statistical analyses
Statistical analyses were performed using SPSS software. Categorical variables were defined as frequency and percentage, while parametric continuous data as mean±standard deviation, non-parametric continuous data as median and interquartile ranges. For group comparisons, Independent sample T test was used for parametric continuous variables; whereas, Mann Whitney U test for non-parametric continuous data, Pearson Chi-Square test for categorical data. In order to determine predictive risk factors related to the dependent variable, univariate and multivariate analyses were performed. The factors having a p value < 0.15 in the univariate analysis included multivariate logistic regression model. Independent risk factors were determined in the multivariate analyses. Wald test was utilized for model appropriateness. p value < 0.05 was defined as a statistical significance in all analyses.