Data analyses were performed using SPSS version 24.0 statistical software package (SPSS Inc., Chicago, IL, USA). The Kolmogorov-Smirnov test was used to control the variable distributions. Student’s t test for two independent samples, was used for normally distributed data and reported as mean and standard deviation, and Mann–Whitney U test was used to compare non-normally distributed data and reported as median and 25th and 75th percentiles. Categorical data were compared using the Chi-square test. The correlations between variables were performed using Spearman’s rank-order correlation analysis. The Kaplan-Meier method was used to estimate event-free survival rates. Receiver operating characteristic (ROC) curve analysis was performed to determine KIM-1 predictive value for CNP. Logistic regression analysis was performed to assess the predictors of CNP. Univariate logistic regression analysis was performed, and the variables that were found to be statistically significant (p<0.1) were analyzed with multivariate logistic regression analysis. A two-tailed p value of <0.05 was considered significant.

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