Abstract 21120: Red Cell Distribution Width Predicts Hemoglobin A1c in Non-Diabetic Healthy Adults
Background: Hemoglobin A1c (HbA1c) is an independent predictor of cardiovascular disease (CVD) and all cause mortality in non-diabetics. Red cell distribution width (RDW) has recently gained prominence as a novel prognostic CVD risk marker and a possible marker of global physiological dysfunction. Elevated RDW may reflect a state of inflammation and high oxidative stress linked to endothelial dysfunction. We hypothesized that RDW at baseline predicts HbA1c levels in a healthy, non-diabetic, adult population.
Methods: The study cohort consisted of 7556 non-diabetic adults enrolled as a part of NHANES 1999-2004. A Spearman correlation analysis was performed to ascertain the relationship between RDW and HbA1c. A multivariate linear regression analysis was done to analyze the association between RDW and HbA1c levels.
Results: A positive statistically significant correlation was noted between RDW and HbA1c on correlation analysis(r =0.20, p<0.001). On multivariate linear regression analysis, RDW was an independent predictor of HbA1c after series of adjustments for traditional risk factors, inflammation and nutrient deficiencies (Table 1).
Conclusion: RDW significantly predicts HbA1c in non-diabetic healthy adults. Our findings extend the current literature on RDW as a novel, independent, integrative biomarker that appears to portend dysfunction across various physiological systems.
- © 2010 by American Heart Association, Inc.