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DiaComp Funded Abstracts



Program Application Abstract
Preliminary associations between time domain indices of heart rate variability and metabolic syndrome in a cross-­sectional analysis of an adult Chinese population
Ueberroth, Jordan   (University of Michigan-Ann Arbor)
As the incidence of metabolic syndrome (MetS) continues to rise precipitously in both China and the US, cross-­sectional studies suggest a correlation between MetS and the development of neuropathy. Time domain indices of heart rate variability (HRV) are a useful measure of the parasympathetic input to the heart and can be obtained reliably and noninvasively through electrocardiogram (ECG) analysis. Long nerves are often the first affected by neuropathic changes, therefore measuring HRV in subjects with MetS may provide an early indication of incipient neuropathy. We hypothesize that subjects with metabolic syndrome will have reduced time domain indices of HRV when compared to healthy control subjects. To test this, we performed a cross-­sectional analysis of baseline ECGs obtained from 130 subjects (aged 54.32 ±9.77 years, 55.4% female) in the Pinguu China cohort, a stable adult population. The R-­R intervals over a one minute period were manually measured for each subject using ImageJ software. Demographic and metabolic data were provided by collaborators in China. Average R-­ R interval, standard deviation of R-­R intervals (SDNN) and root mean square of successive differences (RMSSD) values were calculated and analyzed for correlations with age, BMI, mean systolic and diastolic blood (DBP) pressure, as well as triglyceride, total cholesterol, LDL, HDL and fasting blood glucose levels in those with MetS and those without. Subjects were considered to have MetS if they satisfied the criteria outlined by the NCEP ATPIII report for individuals of Asian descent. 41 subjects had MetS (aged 53.15 ±9.37 years, 41.46% female, BMI 28.25 ±2.68) and 89 subjects were considered healthy controls (aged 54.87 ±9.90 years, 61.80% female, BMI 25.71 ±3.74). We found an inverse correlation between mean DBP and RMSSD (r=-­0.23, p=0.03) in healthy control subjects. In subjects with MetS, lower average R-­R intervals and SDNN were associated with elevated levels of triglycerides (r=-­0.418, p=0.007) and LDL (r=-­0.298, p=0.05), respectively. We believe that the lack of compelling correlations is due to the small sample size. Further study of ECGs from the Pinguu cohort is needed to conclusively determine correlations between time domain indices of HRV and MetS.