Statistical Analysis
Analyses were performed with SPSS software v 25.5 (IBM, NY, USA). To determine whether continuous data were normally distributed, Shapiro-Wilk and Kolmogorov-Smirnov normality tests were used. Mann-Whitney U test and Student T-test were used to compare continuous variables, and Chi-square and Fisher’s exact test were used for comparison of categorical data. Results were given as mean ± SD, median (min-max), number, and percentage (%). P value <0.05 was considered statistically significant. The predictive values of the parameters for mortality were calculated with univariate and multivariate logistic regression analyzes. The optimal cut-off values, sensitivity, and specificity values, and probability ratios to be used in the estimation of mortality of these parameters and the scoring system formed from these parameters were calculated by ROC analysis using the area under the curve and Youden index. The results were presented with 95% confidence intervals.