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.