GPT and Hypertension: The diagnostic performance of candidate predictors was evaluated using receiver operating characteristic (ROC) curve analysis, and optimal cutoffs for fibrosis detection were identified.<h4>Results</h4>The fibrosis risk score developed for the Mexican population, including sex, triglycerides, glucose, waist circumference, hypertension, high-density lipoprotein cholesterol, body mass index (BMI), aspartate aminotransferase (AST), alanine aminotransferase (ALT), gamma-glutamyl transferase (GGT), and insulin, achieved an area under the ROC (AUROC) of 81.1% (95% CI, 74.4, 87.8).