Abstract

Objective: To identify predictors that allow for early detection of cardiovascular disease in African American women Background: Cardiovascular (CV) mortality is high in African Americans in the United States. Cardiovascular disease (CVD) remains the leading cause of death in African American females. We hypothesize that certain cardiovascular risk factors are predictors of abnormal peripheral vascular compliance. We aim to identify determinants of abnormal vascular compliance by assessing the association between known CVD risk factors and the extent of vascular compliance Methods: This cross-sectional study utilized survey responses and results from a noninvasive screening tool. The study included only African American women. Traditional CV risk factors were independent variables (history of hypertension, high serum lipids, family or personal history of CVD). The instrument employed biomarkers that detect blood vessel elasticity. Outcome measures included small and large vessel compliance. Both survey responses and screening results were obtained from 70 consecutive participants. We conducted a univariate and bivariate descriptive analysis. A Chi-square or Fishers exact test was used to determine the significance as appropriate. We adjusted for potential confounders in our multivariable analysis. SAS 9.4 software was used for all the data analyses Results: Our study indicates that personal history of cardiovascular disease is strongly associated with abnormal small vessel compliance (Pvalue - 0.01). Family history of cardiovascular disease is strongly associated with abnormal large artery compliance (Pvalue - 0.02). History of cardiovascular disease in both parents is associated with abnormal large artery compliance (Pvalue - 0.04). Interestingly, Living Situation (Living alone) was associated with abnormal large artery compliance (Pvalue - 0.03) Conclusion: Family and personal history of CVD, and living alone have strong associations with abnormal vascular compliance. Cardiovascular mortality is high in Black and African American females. Identifying predictors of abnormal vascular compliance can allow for early disease detection and intervention.

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