AI Article Synopsis

  • American Indians have high stroke rates, and better risk assessment could improve prevention efforts, but it's unclear how certain biomarkers can help predict stroke risk.
  • Researchers studied various laboratory (e.g., HbA1c) and echocardiographic markers (e.g., left atrial diameter) in a group of American Indians without existing cardiovascular or renal issues to see how well they predict ischemic stroke.
  • The findings revealed that HbA1c was the strongest predictor of ischemic stroke, with some improvement when combined with left atrial diameter, suggesting that these biomarkers could enhance cardiovascular risk assessments in high-risk populations.

Article Abstract

Background And Purpose: American Indians have high rates of stroke. Improved risk stratification could enhance prevention, but the ability of biochemical and echocardiographic markers of preclinical disease to improve stroke prediction is not well-defined.

Methods: We evaluated such markers as predictors of ischemic stroke in a community-based cohort of American Indians without prevalent cardiovascular or renal disease. Laboratory markers included C-reactive protein, fibrinogen, urine albumin-to-creatinine ratio, and glycohemoglobin (HbA1c), whereas echocardiographic parameters comprised left atrial diameter, left ventricular mass, mitral annular calcification, and the ratio of early to late mitral diastolic velocities. Predictive performance was judged by indices of discrimination, reclassification, and calibration.

Results: After adjustment for standard risk factors, only HbA1c, albuminuria, and left atrial diameter were significantly associated with first ischemic stroke. Addition of HbA1c, although not urine albumin-to-creatinine ratio, to a basic clinical model significantly improved the C-statistic (0.714 versus 0.695; P=0.044), whereas left atrial diameter modestly enhanced integrated discrimination improvement (0.90%; P=0.004), but not the C-statistic (0.701; P=0.528). When combined with HbA1c, left atrial diameter further increased integrated discrimination improvement (1.81%; P<0.001) but not the C-statistic (0.716). No marker achieved significant net reclassification improvement.

Conclusions: In this cohort at high cardiometabolic risk, HbA1c emerged as the foremost predictor of ischemic stroke when added to traditional risk factors, affording substantially improved discrimination, with a more modest contribution for left atrial diameter. These findings bolster the role of HbA1c in cardiovascular risk assessment among persons with glycometabolic disorders and provide impetus for further study of the incremental value of echocardiography in high-risk populations.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3288714PMC
http://dx.doi.org/10.1161/STROKEAHA.111.631168DOI Listing

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