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Diabetes Care ; 27(2): 530-7, 2004 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-14747240

RESUMEN

OBJECTIVE: The goal of the study was to examine risk factors in the prediction of coronary heart disease (CHD) and differences in men and women in the EURODIAB Prospective Complications Study. RESEARCH DESIGN AND METHODS: Baseline risk factors and CHD at follow-up were assessed in 2,329 type 1 diabetic patients without prior CHD. CHD was defined as physician-diagnosed myocardial infarction, angina pectoris, coronary artery bypass graft surgery, and/or Minnesota-coded ischemic electrocardiograms or fatal CHD. RESULTS: There were 151 patients who developed CHD, and the 7-year incidence rate was 8.0 (per 1,000 person-years) in men and 10.2 in women. After adjustment for age and/or duration of diabetes, the following risk factors were related to CHD in men: age, GHb, waist-to-hip ratio (WHR), HDL cholesterol, smoking, albumin excretion rate (AER), and autonomic neuropathy. The following risk factors were related to CHD in women: age, systolic blood pressure (BP), fasting triglycerides, AER, and retinopathy. Multivariate standardized Cox proportional hazards models showed that age (hazard ratio 1.5), AER (1.3 in men and 1.6 in women), WHR (1.3 in men), smoking (1.5 in men), fasting triglycerides (1.3 in women) or HDL cholesterol (0.74 in women), and systolic BP (1.3 in women) were predictors of CHD. CONCLUSIONS: This study supports the evidence for a strong predictive role of baseline albuminuria in the pathogenesis of CHD in type 1 diabetes. Furthermore, sex-specific risk factors such as systolic BP, fasting triglycerides (or HDL cholesterol), and WHR were found to be important in the development of CHD.


Asunto(s)
Enfermedad Coronaria/epidemiología , Diabetes Mellitus Tipo 1/epidemiología , Angiopatías Diabéticas/epidemiología , Adulto , Factores de Edad , Albuminuria , Presión Sanguínea , Estudios Transversales , Diabetes Mellitus Tipo 1/fisiopatología , Europa (Continente)/epidemiología , Femenino , Humanos , Masculino , Análisis Multivariante , Modelos de Riesgos Proporcionales , Factores de Riesgo , Fumar , Factores de Tiempo
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