Articles producció científica> Bioquímica i Biotecnologia

A risk score to predict type 2 diabetes mellitus in an elderly Spanish Mediterranean population at high cardiovascular risk.

  • Datos identificativos

    Identificador: PC:222
    Handle: http://hdl.handle.net/20.500.11797/PC222
  • Autores:

    Guasch-Ferré, M.
    Bulló, M.
    Costa, B.
    Martínez-Gonzalez, M.Á.
    Ibarrola-Jurado, N.
    Estruch, R.
    Barrio, F.
    Salas-Salvadó, J. PREDI-PLAN, Investigators (Babio N).
  • Otros:

    Autor según el artículo: Guasch-Ferré, M. Bulló, M. Costa, B. Martínez-Gonzalez, M.Á. Ibarrola-Jurado, N. Estruch, R. Barrio, F. Salas-Salvadó, J. PREDI-PLAN, Investigators (Babio N).
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0033437
    Departamento: Bioquímica i Biotecnologia
    e-ISSN: 1932-6203
    Autor/es de la URV: Marta Guasch-Ferre´, Mo`nica Bullo´, Bernardo Costa, Miguel Angel Martınez-Gonzalez, Nuria Ibarrola-Jurado, Ramon Estruch, Francisco Barrio, Jordi Salas-Salvado´
    DOI del artículo: 10.1371/journal.pone.0033437
    Resumen: To develop and test a diabetes risk score to predict incident diabetes in an elderly Spanish Mediterranean population at high cardiovascular risk. A diabetes risk score was derived from a subset of 1381 nondiabetic individuals from three centres of the PREDIMED study (derivation sample). Multivariate Cox regression model ß-coefficients were used to weigh each risk factor. PREDIMED-personal Score included body-mass-index, smoking status, family history of type 2 diabetes, alcohol consumption and hypertension as categorical variables; PREDIMED-clinical Score included also high blood glucose. We tested the predictive capability of these scores in the DE-PLAN-CAT cohort (validation sample). The discrimination of Finnish Diabetes Risk Score (FINDRISC), German Diabetes Risk Score (GDRS) and our scores was assessed with the area under curve (AUC).
    Entidad: Universitat Rovira i Virgili.
    Año de publicación de la revista: 2012
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Volumen de revista: 7