Abstract WP183: Heart Rate Variability Is Associated With Stroke, Independent Of Traditional Cardiovascular Risk Factors
Introduction: U.S. Hispanics show higher burden of stroke compared to non-Hispanic whites. Stroke-related disparities may be driven by differences in cardiovascular disease (CVD) risk factors. Subclinical measures of CVD such as Heart Rate Variability (HRV) are highly sensitive and strong predictors of CVD events. Yet, the majority of work is limited to clinical settings. We assessed the hypothesis that reduced HRV is associated with higher prevalence of stroke in community-dwelling older Mexican Americans from the Sacramento Area Latino Study on Aging and that this association persists above and beyond traditional CVD risk factors. Methods: SALSA is a prospective cohort study with 7 annual visits. In a subsample of 869 participants, we assessed HRV at either visit 5 or 6 using the ANS2000 which is an ECG monitor and respiration pacer. Several R waves are detected in a deep breath cycle resulting in the estimation of Regular R bar, a measure of HRV. R bar was analyzed in quartiles (Q1 to Q4= low to high HRV). We ascertained stroke based on self-report of a physician diagnosis, hospitalization, and death based on ICD-10 codes I60 to I69. We used logistic regression models to estimate the associations between quartiles of HRV and the odds of having had a first-ever stroke at any time during the study. We reported prevalence odds ratios (OR) and 95%CI. Results: A total of 124 first-ever strokes occurred across the study period. The odds of a stroke was 109% higher in Quartile 1 HRV (OR=2.09; 95%CI=1.13; 3.90), 65% higher in Quartile 2 (OR=1.65; 95%CI=0.88; 3.10), and 1% higher in Quartile 3 (OR=1.01; 95%CI=0.52; 1.99), as compared to Quartile 4, adjusted for age, sex, income, smoking, alcohol consumption, diabetes, systolic blood pressure, beta blocker and dementia status. Conclusion: Our results suggest that reduced HRV is associated with ever having a stroke, above and beyond traditional CVD risk factors.