Statistics
Clinical variables were expressed as a mean with standard deviation for continuous variables, median with interquartile rate for discontinuous variables, and percentage (%) for categorical variables. Characteristics between groups were tested using the unpaired Student t-test for continuous variables and chi-square test or Fisher’s exact for categorical variables. Logistic regression analysis was performed for multivariate analysis, after which Receiver Operating Characteristics (ROC) analysis was used to compare the performances between different prediction models. A two-tailed p-value of <0.05 indicated statistical significance. Statistical analysis was performed using STATA 17.0 software.