A risk score to predict type 2 diabetes mellitus in an elderly spanish mediterranean population at high cardiovascular risk

Abstract Introduction: To develop and test a diabetes risk score to predict incident diabetes in an elderly Spanish Mediterranean population at high cardiovascular risk. Materials and Methods: A diabetes risk score was derived from a subset of 1381 nondiabetic individuals from three centres of the P...

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Detalhes bibliográficos
Autores: Guasch-Ferre, M. (Marta)|||/items/55c7d61d-930e-4894-92e6-429f5d71f807, Bullo, M. (Monica)|||/items/d8fb42f6-4284-48ef-9dc1-e84db1841835, Costa, B. (Bernardo)|||/items/e7177613-f250-4b95-bbb6-fe580f6a3107, Martínez-González, M.A. (Miguel Ángel)|||/items/8b591471-4165-4697-8534-cfa0ad5eb1b7, Ibarrola-Jurado, N. (Nuria)|||/items/6c11de3d-c75b-42d4-a64b-f49b2e9d3a97, Estruch, R. (Ramón)|||/items/3e95ff5c-8b32-474d-a8d4-7b1425d89265, Barrio, F. (Francisco)|||/items/e2ec0fa0-89a6-4a51-bcf1-41e765bef95e, Salas-Salvado, J. (Jordi)|||/items/e2fc08dd-d21f-475b-83fa-157f0b0067e6
Tipo de documento: artigo
Data de publicação:2012
País:España
Recursos:Universidad de Navarra
Repositório:Dadun. Depósito Académico Digital de la Universidad de Navarra
Idioma:inglês
OAI Identifier:oai:dadun.unav.edu:10171/37085
Acesso em linha:https://hdl.handle.net/10171/37085
Access Level:Acceso aberto
Palavra-chave:Life-style intervention
Identifying individuals
Glucose-tolerance
Physical-activity
Prevention
Questionnaire
Care
Validation
Project
Adults
Descrição
Resumo:Abstract Introduction: To develop and test a diabetes risk score to predict incident diabetes in an elderly Spanish Mediterranean population at high cardiovascular risk. Materials and Methods: 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). Results: 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. Discussion: 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.