Diabetes, Fasting Glucose Levels, and Risk of Ischemic Stroke and Vascular Events
Open accessAbstract
OBJECTIVE: There is insufficient randomized trial data to support evidence-based recommendations for tight control of fasting blood glucose (FBG) among diabetic subjects in primary stroke prevention. We explored the relationship between FBG among diabetic subjects and risk of ischemic stroke in a multiethnic prospective cohort. RESEARCH DESIGN AND METHODS: Medical and social data and FBG values were collected for 3,298 stroke-free community residents: mean age +/- SD was 69 +/-10 years; 63% were women, 21% were white, 24% were black, and 53% were Hispanic; and follow-up was 6.5 years. Baseline FBG levels were categorized: 1) elevated FBG: history of diabetes and FBG >or=126 mg/dl (7.0 mmol/l); 2) target FBG: history of diabetes and FBG <126 mg/dl (7.0 mmol/l); or 3) no diabetes/reference group. Cox models were used to calculate hazard ratios (HRs) and 95% CI for ischemic stroke and vascular events. RESULTS: In the Northern Manhattan Study, 572 participants reported a history of diabetes and 59% (n = 338) had elevated FBG. Elevated FBG among diabetic subjects was associated with female sex (P < 0.04), Medicaid (P = 0.01), or no insurance (P = 0.03). We detected 190 ischemic strokes and 585 vascular events. Diabetic subjects with elevated FBG (HR 2.7 [95% CI 2.0-3.8]) were at increased risk of stroke, but those with target FBG levels (1.2 [0.7-2.1]) were not, even after adjustment. A similar relationship existed for vascular events: elevated FBG (2.0 [1.6-2.5]) and target FBG (1.3 [0.9-1.8]. CONCLUSIONS: This prospective cohort study provides evidence for the benefits of tighter glucose control for primary stroke prevention.
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Insulin resistance and type 2 diabetes are known cerebrovascular risk factors.
“Insulin resistance and T2D are known cerebrovascular risk factors[18]”
From Metformin in Amnestic Mild Cognitive Impairment: Results of a Pilot Randomized Placebo Controlled Clinical Trial (2016) · cites this paper as [18]
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- Authors
- Boden-Albala, B., Cammack, S., Chong, J., Wang, C., Wright, C., Rundek, T., Elkind, M. S. V., Paik, M. C., & Sacco, R. L.
- Affiliations
- Columbia University Irving Medical Center (US)
- Columbia University (US)
- University of Miami (US)
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2008-06-01
- Volume
- 31
- Issue
- 6
- Pages
- 1132-1137
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2145669276
- Cited by
- 132
- References
- 25
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 4 · 2023: 3 · 2022: 7 · 2021: 11 · 2020: 6 · 2019: 3 · 2018: 6 · 2017: 5 · 2016: 8 · 2015: 19 · 2014: 12 · 2013: 8 · 2012: 11
- FWCI
- 5.06
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (NS-29993, R01NS029993)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Epidemiology › Acute Ischemic Stroke Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- diabetes mellitus, fasting blood glucose, ischemic stroke, vascular events, primary stroke prevention, glycemic control, Northern Manhattan Study, racial and ethnic disparities, Medicaid, insurance status, sex differences
- MeSH terms
- Aged, Black or African American, Blood Glucose, Diabetes Mellitus, Diabetic Angiopathies, Fasting, Female, Hispanic or Latino, Humans, Hyperglycemia, Male, Minority Groups, New York City, Vascular Diseases, Risk Assessment, Stroke, Black People
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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