GPT and hypertensive disorder: Finally, to obtain the best risk prediction models, we reconsidered a set of new comprehensive candidates of covariates: sex, age, BW, BMI, waist circumference, waist circumference (≥85 cm in men and ≥90 cm in women), SBP, DBP, FPG, HbA1c, AST, ALT, γ-GTP, HDL-C, LDL-C, triglyceride, uric acid, serum creatinine, eGFR, proteinuria, proteinuria (≥±), proteinuria (≥1+), smoking habits, drinking habits, drug information of diabetes, hypertension, and dyslipidemia (Supplementry Table 1A).