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Utility of Indices Obtained during Medical Checkups for Predicting Fatty Liver Disease in Non-obese People

OBJECTIVE: To predict fatty liver disease (FLD), including nonalcoholic FLD (NAFLD) and metabolic dysfunction-associated FLD (MAFLD), from blood tests and anthropometric measurements, the fatty liver index (FLI) and triglyceride glucose-body mass index (TyG-BMI) have been reported as promising indic...

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Detalles Bibliográficos
Autores principales: Otsubo, Naoya, Fukuda, Tatsuya, Cho, Genhin, Ishibashi, Fumiaki, Yamada, Tetsuya, Monzen, Koshiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Japanese Society of Internal Medicine 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484762/
https://www.ncbi.nlm.nih.gov/pubmed/36517035
http://dx.doi.org/10.2169/internalmedicine.1097-22
Descripción
Sumario:OBJECTIVE: To predict fatty liver disease (FLD), including nonalcoholic FLD (NAFLD) and metabolic dysfunction-associated FLD (MAFLD), from blood tests and anthropometric measurements, the fatty liver index (FLI) and triglyceride glucose-body mass index (TyG-BMI) have been reported as promising indicators. We evaluated the predictive ability of several indices, including the waist circumference, BMI, FLI and TyG-BMI, that might predict FLD in non-obese individuals undergoing health checkups. METHODS: This retrospective observational study enrolled non-obese subjects who underwent abdominal ultrasonography between May 1, 2015, and June 30, 2022. Obesity was defined as a BMI <25 kg/m(2). FLD was diagnosed by abdominal ultrasonography. Using a receiver operating characteristic analysis, we examined the predictive validity of indices for NAFLD and MAFLD by calculating the area under the curve (AUC). RESULTS: Of the 24,825 subjects (mean age 44.3±10.0 years old; 54% men) enrolled in this examination of the association of indices, including FLI and TyG-BMI, with NAFLD, NAFLD was diagnosed in 3,619 (27%) men and 733 (6%) women. In both men and women, the FLI and TyG-BMI had significantly higher AUC values for NAFLD prediction than the other indicators (FLI: 0.786 for men and 0.875 for women, TyG-BMI: 0.783 for men and 0.868 for women). In analyses of subjects with a BMI <23 kg/m(2), the superiority of the FLI and TyG-BMI remained unchanged. The FLI and TyG-BMI also had significantly higher AUC values for MAFLD prediction than the other indicators. CONCLUSION: The FLI and TyG-BMI had a particularly high predictive ability for NAFLD and MAFLD in non-obese subjects.