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

  • Identification data

    Identifier: imarina:2656003
    Authors:
    Guasch-Ferre, MartaBullo, MonicaCosta, BernardoAngel Martinez-Gonzalez, MiguelIbarrola-Jurado, NuriaEstruch, RamonBarrio, FranciscoSalas-Salvado, Jordi
    Abstract:
    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).The PREDIMED-clinical Score varied from 0 to 14 points. In the subset of the PREDIMED study, 155 individuals developed diabetes during the 4.75-years follow-up. The PREDIMED-clinical score at a cutoff of ?6 had sensitivity of 72.2%, and specificity of 72.5%, whereas AUC was 0.78. The AUC of the PREDIMED-clinical Score was 0.66 in the validation sample (sensitivity?=?85.4%; specificity?=?26.6%), and was significantly higher than the FINDRISC and the GDRS in both the derivation and validation samples.We identified classical risk factors for diabetes and developed the PREDIMED-clinical Score to determine those individuals at high risk of developing diabetes in elderly individuals at high cardiovascular risk. The predictive capability of the PREDIMED-clinical Score was significantly higher than the FINDRISC and GDRS, and also used fewer items in the questionnaire.
  • Others:

    Author, as appears in the article.: Guasch-Ferre, Marta; Bullo, Monica; Costa, Bernardo; Angel Martinez-Gonzalez, Miguel; Ibarrola-Jurado, Nuria; Estruch, Ramon; Barrio, Francisco; Salas-Salvado, Jordi
    Department: Bioquímica i Biotecnologia
    URV's Author/s: Babio Sánchez, Nancy Elvira / Bulló Bonet, Mònica / Cabre Vila, Juan Jose / IBARROLA JURADO, NURIA / Salas Salvadó, Jorge
    Keywords: @infoAeu @residentesaeu @uroweb Etiqueta «#» Hashtag
    Abstract: 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).The PREDIMED-clinical Score varied from 0 to 14 points. In the subset of the PREDIMED study, 155 individuals developed diabetes during the 4.75-years follow-up. The PREDIMED-clinical score at a cutoff of ?6 had sensitivity of 72.2%, and specificity of 72.5%, whereas AUC was 0.78. The AUC of the PREDIMED-clinical Score was 0.66 in the validation sample (sensitivity?=?85.4%; specificity?=?26.6%), and was significantly higher than the FINDRISC and the GDRS in both the derivation and validation samples.We identified classical risk factors for diabetes and developed the PREDIMED-clinical Score to determine those individuals at high risk of developing diabetes in elderly individuals at high cardiovascular risk. The predictive capability of the PREDIMED-clinical Score was significantly higher than the FINDRISC and GDRS, and also used fewer items in the questionnaire.
    Thematic Areas: Zootecnia / recursos pesqueiros Sociology Sociología Serviço social Saúde coletiva Química Psychology Psicología Planejamento urbano e regional / demografia Odontología Nutrição Multidisciplinary sciences Multidisciplinary Medicine (miscellaneous) Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Linguística e literatura Letras / linguística Interdisciplinary research in the social sciences Interdisciplinar Human geography and urban studies History & philosophy of science Historia Geografía Geociências General medicine General biochemistry,genetics and molecular biology General agricultural and biological sciences Farmacia Environmental studies Ensino Engenharias iv Engenharias iii Engenharias ii Engenharias i Enfermagem Educação física Educação Economia Direito Demography Comunicação e informação Ciências sociais aplicadas i Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência política e relações internacionais Ciência de alimentos Ciência da computação Biotecnología Biology Biodiversidade Biochemistry, genetics and molecular biology (miscellaneous) Astronomia / física Arquitetura, urbanismo e design Archaeology Antropologia / arqueologia Anthropology Agricultural and biological sciences (miscellaneous) Administração, ciências contábeis e turismo Administração pública e de empresas, ciências contábeis e turismo
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 19326203
    Author's mail: juanjose.cabre@urv.cat monica.bullo@urv.cat jordi.salas@urv.cat nancy.babio@urv.cat
    Author identifier: 0000-0003-1082-6861 0000-0002-0218-7046 0000-0003-2700-7459 0000-0003-3527-5277
    Record's date: 2024-10-12
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0033437
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Plos One. 7 (3): 467-
    APA: Guasch-Ferre, Marta; Bullo, Monica; Costa, Bernardo; Angel Martinez-Gonzalez, Miguel; Ibarrola-Jurado, Nuria; Estruch, Ramon; Barrio, Francisco; Salas (2012). A risk score to predict type 2 diabetes mellitus in an elderly spanish mediterranean population at high cardiovascular risk. Plos One, 7(3), 467-. DOI: 10.1371/journal.pone.0033437
    Article's DOI: 10.1371/journal.pone.0033437
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2012
    Publication Type: Journal Publications
  • Keywords:

    Agricultural and Biological Sciences (Miscellaneous),Biochemistry, Genetics and Molecular Biology (Miscellaneous),Biology,Medicine (Miscellaneous),Multidisciplinary,Multidisciplinary Sciences
    Zootecnia / recursos pesqueiros
    Sociology
    Sociología
    Serviço social
    Saúde coletiva
    Química
    Psychology
    Psicología
    Planejamento urbano e regional / demografia
    Odontología
    Nutrição
    Multidisciplinary sciences
    Multidisciplinary
    Medicine (miscellaneous)
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Materiais
    Matemática / probabilidade e estatística
    Linguística e literatura
    Letras / linguística
    Interdisciplinary research in the social sciences
    Interdisciplinar
    Human geography and urban studies
    History & philosophy of science
    Historia
    Geografía
    Geociências
    General medicine
    General biochemistry,genetics and molecular biology
    General agricultural and biological sciences
    Farmacia
    Environmental studies
    Ensino
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Enfermagem
    Educação física
    Educação
    Economia
    Direito
    Demography
    Comunicação e informação
    Ciências sociais aplicadas i
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência política e relações internacionais
    Ciência de alimentos
    Ciência da computação
    Biotecnología
    Biology
    Biodiversidade
    Biochemistry, genetics and molecular biology (miscellaneous)
    Astronomia / física
    Arquitetura, urbanismo e design
    Archaeology
    Antropologia / arqueologia
    Anthropology
    Agricultural and biological sciences (miscellaneous)
    Administração, ciências contábeis e turismo
    Administração pública e de empresas, ciências contábeis e turismo
  • Documents:

  • Cerca a google

    Search to google scholar