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.