Statistical analysis
Data were analyzed using SPSS for Windows version 25.0 (Armonk, NY: IBM
Corp.). Normal distribution of data was analyzed using
Kolmogorov-Smirnov test. Categorical variables were expressed as
percentages (%) and were compared using Chi-square test. Continuous
variables with normal distribution were expressed as mean ± standard
deviation (SD) and were compared using Student’s t-test. Continuous
variables with nonnormal distribution were expressed as median
(25th-75th percentile) and were
compared using Mann-Whitney U test. Independent predictors of mortality
were determined using univariate and multivariate logistic regression
analysis and the results were expressed with odds ratio (OR) and 95%
confidence interval (CI). The optimum PNI and CONUT score cutoff values
for the prediction of mortality were determined using receiver operating
characteristic (ROC) curve analysis. Correlations were analyzed using
Spearman’s correlation coefficient. Survival analysis was performed
using Kaplan-Meier analysis. A p value of <0.05 was
considered significant.