Predictors of stroke in patients with impaired glucose tolerance: results from the Nateglinide and Valsartan in Impaired Glucose Tolerance Outcomes Research trial.

Journal Article (Journal Article)

BACKGROUND AND PURPOSE: Risk factors for stroke are well-established in general populations but sparsely studied in individuals with impaired glucose tolerance. METHODS: We identified predictors of stroke among participants with impaired glucose tolerance in the Nateglinide and Valsartan in Impaired Glucose Tolerance Outcomes Research (NAVIGATOR) trial. Cox proportional-hazard regression models were constructed using baseline variables, including the 2 medications studied, valsartan and nateglinide. RESULTS: Among 9306 participants, 237 experienced a stroke over 6.4 years. Predictors of stroke included classical risk factors such as existing cerebrovascular and coronary heart disease, higher pulse pressure, higher low-density lipoprotein cholesterol, older age, and atrial fibrillation. Other factors, including previous venous thromboembolism, higher waist circumference, lower estimated glomerular filtration rate, lower heart rate, and lower body mass index, provided additional important predictive information, yielding a C-index of 0.72. Glycemic measures were not predictive of stroke. Variables associated with stroke were similar in participants with no prior history of cerebrovascular disease at baseline. CONCLUSIONS: The most powerful predictors of stroke in patients with impaired glucose tolerance included a combination of established risk factors and novel variables, such as previous venous thromboembolism and elevated waist circumference, allowing moderately effective identification of high-risk individuals.

Full Text

Duke Authors

Cited Authors

  • Preiss, D; Giles, TD; Thomas, LE; Sun, J-L; Haffner, SM; Holman, RR; Standl, E; Mazzone, T; Rutten, GE; Tognoni, G; Chiang, F-T; McMurray, JJV; Califf, RM

Published Date

  • September 2013

Published In

Volume / Issue

  • 44 / 9

Start / End Page

  • 2590 - 2593

PubMed ID

  • 23899915

Electronic International Standard Serial Number (EISSN)

  • 1524-4628

Digital Object Identifier (DOI)

  • 10.1161/STROKEAHA.113.001177


  • eng

Conference Location

  • United States