Autor según el artículo: Guasch-Ferre, Marta; Bullo, Monica; Costa, Bernardo; Angel Martinez-Gonzalez, Miguel; Ibarrola-Jurado, Nuria; Estruch, Ramon; Barrio, Francisco; Salas-Salvado, Jordi
Departamento: Bioquímica i Biotecnologia
Autor/es de la URV: Babio Sánchez, Nancy Elvira / Bulló Bonet, Mònica / Cabre Vila, Juan Jose / IBARROLA JURADO, NURIA / Salas Salvadó, Jorge
Palabras clave: Good health and well-being
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).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.
Áreas temáticas: 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
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 19326203
Direcció de correo del autor: juanjose.cabre@urv.cat monica.bullo@urv.cat jordi.salas@urv.cat nancy.babio@urv.cat
Identificador del autor: 0000-0003-1082-6861 0000-0002-0218-7046 0000-0003-2700-7459 0000-0003-3527-5277
Fecha de alta del registro: 2024-11-16
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
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Plos One. 7 (3): 467-e33437
Referencia de l'ítem segons les normes 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-e33437. DOI: 10.1371/journal.pone.0033437
DOI del artículo: 10.1371/journal.pone.0033437
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2012
Tipo de publicación: Journal Publications