Statistical analysis
REGRESSION
We applied least absolute shrinkage and selection operator (LASSO) regression analysis to reduce the number of risk factors with the best predictive performance using tenfold cross-validation based on the “glmnet” package in R. These factors were further filtered through univariate logistic regression analysis. The potential variables with Statistical analyses were performed using SPSS (version 26, Chicago, IL, USA) and R software (version 4.2.1, 