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Title: Fatty liver index as a predictor for type 2 diabetes in subjects with normoglycemia in a nationwide cohort study
Author: García Escobar, Eva
Valdés, Sergio
Soriguer, Federico
Vendrell, Joan
Urrutia Etxebarria, Inés María
Maldonado-araque, Cristina
Ortega Martínez de Victoria, Emilio
Ocón, Pilar
Montanya Mias, Eduard
Menendez, Eldelmiro
Lago Sampedro, Ana
González Frutos, Teba
Gomis, Ramon, 1946-
Goday Arnó, Albert
García Serrano, Sara
Galán García, José Luís
Castell Abat, Conxa
Bordiú, Elena
Badía Guillén, Rocío
Aguilera Venegas, Gabriel
Girbés Borrás, Juan Adrián
Gaztambide, Sonia
Delgado Álvarez, Elías
Chaves, Felipe Javier
Castaño, Luís
Calle Pascual, Alfonso L.
Rojo Martínez, Gemma
Franch Nadal, Josep
Keywords: Diabetis
Malalties del fetge
Issue Date: 12-Aug-2021
Publisher: Springer Science and Business Media LLC
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 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.
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It is part of: Scientific Reports, 2021, vol. 11, num. 1
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ISSN: 2045-2322
Appears in Collections:Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)
Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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