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.