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Association between triglyceride glucose-related markers and the risk of metabolic-associated fatty liver disease: a cross-sectional study in healthy Chinese participants

OBJECTIVES: This study aimed to evaluate the performance of the triglyceride glucose (TyG) index and its related markers in predicting metabolic-associated fatty liver disease (MAFLD) in healthy Chinese participants. DESIGN: This was a cross-sectional study. SETTING: The study was conducted at Healt...

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Detalles Bibliográficos
Autores principales: Chang, Mingxing, Shao, Zhihao, Shen, Guifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163481/
https://www.ncbi.nlm.nih.gov/pubmed/37130686
http://dx.doi.org/10.1136/bmjopen-2022-070189
Descripción
Sumario:OBJECTIVES: This study aimed to evaluate the performance of the triglyceride glucose (TyG) index and its related markers in predicting metabolic-associated fatty liver disease (MAFLD) in healthy Chinese participants. DESIGN: This was a cross-sectional study. SETTING: The study was conducted at Health Management Department of the Affiliated Hospital of Xuzhou Medical University. PARTICIPANTS: A total of 20 922 asymptomatic Chinese participants (56% men) were enrolled. OUTCOME MEASURES: Hepatic ultrasonography was performed to diagnose MAFLD based on the latest diagnostic criteria. The TyG, TyG-body mass (TyG-BMI) and TyG-waist circumference indices were calculated and analysed. RESULTS: Compared with the lowest quartile of the TyG-BMI, the adjusted ORs and 95% CIs for MAFLD were 20.76 (14.54 to 29.65), 92.33 (64.61 to 131.95) and 380.87 (263.25 to 551.05) in the second, third and fourth quartiles, respectively. According to the subgroup analysis, the TyG-BMI in the female and the lean groups (BMI<23 kg/m(2)) showed the strongest predictive value, with optimal cut-off values for MAFLD of 162.05 and 156.31, respectively. The areas under the receiver operating characteristic curves in female and lean groups were 0.933 (95% CI 0.927 to 0.938) and 0.928 (95% CI 0.914 to 0.943), respectively, with 90.7% sensitivity and 81.2% specificity in female participants with MAFLD and 87.2% sensitivity and 87.1% specificity in lean participants with MAFLD. The TyG-BMI index demonstrated superior predictive ability for MAFLD compared with other markers. CONCLUSIONS: The TyG-BMI is an effective, simple and promising tool for predicting MAFLD, especially in lean and female participants.