Predictive value of obesity-and lipid-related indices for metabolic associated fatty liver disease
YOU Meng-ting
ZHANG Ze-dan
SU Ji-yuan
BAO Wei-wei
Abstract:Objective Traditional and non-traditional lipid indices have been shown to closely associate with metabolic associated fatty liver disease(MAFLD).This study aimed to analyze the associations between multiple non-traditional lipid indices and MAFLD,and to compare their diagnostic value.Methods A retrospective study was con-ducted on individuals undergoing health examinations from January 2021 to December 2023.Logistic regression models were used to evaluate the associations of body mass index(BMI),fasting glucose to high-density lipoprotein cholesterol ratio(GHR),GHR-BMI,triglyceride-glucose(TyG)index,TyG-BMI,triglycerides(TG),TG/HDL-C,and TG/HDL-C-BMI with MAFLD.Receiver operating characteristic(ROC)curves were employed to assess the diagnostic accuracy of these obesity-and lipid-related indices and their combinations.Results After adjusting for potential con-founders,multivariate logistic regression showed that all indices were independently associated with MAFLD,with TyG demonstrating the strongest correlation.ROC analysis indicated that GHR-BMI had better predictive performance than TyG and TG alone.The combined model of GHR-BMI and TyG-BMI demonstrated the highest predictive performance(overall population:AUC=0.85,95%CI=0.84-0.86;men:AUC=0.83,95%CI=0.82-0.84;women:AUC=0.88,95%CI=0.87-0.89).Notably,all indices exhibited higher predictive ability in women and younger individuals,with GHR-BMI and GHR-BMI combined with TG/HDL-C-BMI reaching an AUC of 0.91 in young women.Conclusion TyG-BMI,GHR-BMI,and their combined models(e.g.,GHR-BMI+TyG-BMI,GHR-BMI+TG/HDL-C-BMI,TyG-BMI+TG/HDL-C-BMI)are effective predictors of MAFLD,with the combination of GHR-BMI and TyG-BMI showing the greatest predictive potential.
Keywords:metabolic associated fatty liver diseaseobesity-and lipid-related indicesGHR-related indi-cesTyG-related indicesreceiver operating characteristic
Publication Date:2025-12-15
Online Publishing Date:2026-01-12(First online date of this platform, not the publication date of the document)
Pages:9( 1800-1808 )
