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

  • Datos identificativos

    Identificador: imarina:9226637
    Autores:
    Garcia-Escobar, E.Valdes, S.Soriguer, F.Vendrell, J.Urrutia-Etxebarria, I. M.Maldonado-Araque, C.Ortega, E.Ocon, P.Montanya, E.Menendez, E.Lago-Sampedro, A.Gonzalez-Frutos, T.Gomis, R.Goday, A.Garcia-Serrano, S.Galan-Garcia, J. L.Castell, C.Bordiu, E.Badia, R.Aguilera-Venegas, G.Girbes, J.Gaztambide, S.Delgado, E.Chaves, F. J.Castano, L.Calle-Pascual, A.Rojo-Martinez, G.Franch-Nadal, J.
    Resumen:
    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.
  • Otros:

    Autor según el artículo: Garcia-Escobar, E.; Valdes, S.; Soriguer, F.; Vendrell, J.; Urrutia-Etxebarria, I. M.; Maldonado-Araque, C.; Ortega, E.; Ocon, P.; Montanya, E.; Menendez, E.; Lago-Sampedro, A.; Gonzalez-Frutos, T.; Gomis, R.; Goday, A.; Garcia-Serrano, S.; Galan-Garcia, J. L.; Castell, C.; Bordiu, E.; Badia, R.; Aguilera-Venegas, G.; Girbes, J.; Gaztambide, S.; Delgado, E.; Chaves, F. J.; Castano, L.; Calle-Pascual, A.; Rojo-Martinez, G.; Franch-Nadal, J.;
    Departamento: Medicina i Cirurgia
    Autor/es de la URV: Vendrell Ortega, Juan José
    Palabras clave: Steatosis Population Nafld Management Insulin-resistance Homeostasis model assessment Glucose Disease
    Resumen: 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.
    Áreas temáticas: Zootecnia / recursos pesqueiros Saúde coletiva Química Psicología Odontología Nutrição Multidisciplinary sciences Multidisciplinary Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Letras / linguística Interdisciplinar Geografía Geociências Farmacia Engenharias iv Engenharias iii Engenharias ii Enfermagem Educação física Educação Economia Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Biotecnología Biodiversidade Astronomia / física
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: juanjose.vendrell@urv.cat
    Identificador del autor: 0000-0002-6994-6115
    Fecha de alta del registro: 2024-07-27
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.nature.com/articles/s41598-021-95546-x
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Scientific Reports. 11 (1):
    Referencia de l'ítem segons les normes APA: Garcia-Escobar, E.; Valdes, S.; Soriguer, F.; Vendrell, J.; Urrutia-Etxebarria, I. M.; Maldonado-Araque, C.; Ortega, E.; Ocon, P.; Montanya, E.; Menen (2021). Fatty liver index as a predictor for type 2 diabetes in subjects with normoglycemia in a nationwide cohort study. Scientific Reports, 11(1), -. DOI: 10.1038/s41598-021-95546-x
    DOI del artículo: 10.1038/s41598-021-95546-x
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2021
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Multidisciplinary,Multidisciplinary Sciences
    Steatosis
    Population
    Nafld
    Management
    Insulin-resistance
    Homeostasis model assessment
    Glucose
    Disease
    Zootecnia / recursos pesqueiros
    Saúde coletiva
    Química
    Psicología
    Odontología
    Nutrição
    Multidisciplinary sciences
    Multidisciplinary
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Materiais
    Matemática / probabilidade e estatística
    Letras / linguística
    Interdisciplinar
    Geografía
    Geociências
    Farmacia
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Enfermagem
    Educação física
    Educação
    Economia
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Ciência da computação
    Biotecnología
    Biodiversidade
    Astronomia / física
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