GPT and metabolic dysfunction-associated steatotic liver disease: After a stepwise multivariate logistic regression, an eight-parameter nomogram model including WHtR, HC, TyG-WC, ALT, HDL-C, ApoA1, ISI (composite), and gender was established and validated to have a better potential for predicting NAFLD, with an AUROC of 0.913 (sensitivity 80.70%, specificity 90.10%).