14
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Metabolic syndrome and its components as predictors of ischemic stroke in type 2 diabetic patients.

      Stroke; a Journal of Cerebral Circulation
      Age Factors, Aged, Anthropometry, Brain Ischemia, complications, Diabetes Mellitus, Type 2, Female, Follow-Up Studies, Humans, Male, Metabolic Syndrome X, Middle Aged, Predictive Value of Tests, Proportional Hazards Models, Stroke, etiology

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The available data regarding the association between metabolic syndrome (MS) or MS components and ischemic stroke in type 2 diabetics are limited and inconsistent. This study aimed to investigate these associations. Five hundred ninety-nine consecutive type 2 diabetic patients (mean age 60.4+/-9.6 years, 54% men) were followed-up for 10.1 years (median period). Baseline clinical and laboratory characteristics and the occurrence of a first-ever ischemic stroke during follow-up were recorded. Seventy-eight patients developed a first-ever ischemic stroke. According to Cox proportional hazard model, waist circumference (hazard ratio, HR:1.006, 95% CI:1.002 to 1.010, P=0.003) and age (HR:1.061, 95% CI:1.002 to 1.125, P=0.04) were significant predictors. After incorporating various combinations of MS components in multivariate models, only age and waist circumference remained significant. MS per se at baseline or combinations of its components do not predict the development of ischemic stroke in type 2 diabetic patients. Waist circumference represents an independent prognostic factor and could be used as a clinical tool for stroke prevention in this population.

          Related collections

          Author and article information

          Comments

          Comment on this article