GPT and Hepatic fibrosis: In this study, we found that the accuracy of TE to predict the degree of liver fibrosis (AUROC 0.855–0.974) and steatosis (AUROC 0.726–0.953) was acceptable, consistent with previous studies [29–31], establishing a new NASH prediction model, named “CLA score,” using three independent predictors (CAP score, LS value, and ALT level) that were identified from multivariate analysis.