Fatty liver index as a predictor for type 2 diabetes in subjects with normoglycemia in a nationwide cohort study

Abstract

Our aim was to evaluate whether fatty liver index (FLI) is associated with the risk of type 2 diabetes (T2DM) development within the Spanish adult population and according to their prediabetes status; additionally, to examine its incremental predictive value regarding traditional risk factors. A total of 2260 subjects (Prediabetes: 641 subjects, normoglycemia: 1619 subjects) from the Di@bet.es cohort study were studied. Socio-demographic, anthropometric, clinical data and survey on habits were recorded. An oral glucose tolerance test was performed and fasting determinations of glucose, lipids and insulin were made. FLI was calculated and classified into three categories: Low (< 30), intermediate (30–60) and high (> 60). In total, 143 people developed diabetes at follow-up. The presence of a high FLI category was in all cases a significant independent risk factor for the development of diabetes. The inclusion of FLI categories in prediction models based on different conventional T2DM risk factors significantly increase the prediction power of the models when all the population was considered. According to our results, FLI might be considered an early indicator of T2DM development even under normoglycemic condition. The data also suggest that FLI could provide additional information for the prediction of T2DM in models based on conventional risk factors.

Overview publication

TitleFatty liver index as a predictor for type 2 diabetes in subjects with normoglycemia in a nationwide cohort study
DateAugust 12th, 2021
Issue nameScientific Reports
Issue numberv11.1
DOI10.1038/s41598-021-95546-x
AuthorsGarcía-Escobar E, Valdés S, Soriguer F, Vendrell J, Urrutia-Etxebarria IM, Maldonado-Araque C, Ortega E, Ocón P, Montanya E, Menéndez E, Lago-Sampedro A, González-Frutos T, Gomis R, Goday A, García-Serrano S, Galán-García JL, Castell C, Bordiú E, Badía R, Aguilera-Venegas G, Girbés J, Gaztambide S, Delgado E, Chaves FJ, Castaño L, Calle-Pascual A, Rojo-Martínez G & Franch-Nadal J
MTGsMTG3
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