Key result
Type 2 diabetes patients exhibited significantly altered heart rate variability compared to healthy controls, including a higher detrended fluctuation analysis exponent (1.02 vs 0.88, p<0.001).
Why the study?
Does type 2 diabetes mellitus alter heart rate variability patterns measured by nonlinear methods compared to healthy controls?
Population
46 subjects total: 23 patients with type 2 diabetes mellitus, mean age 46.3 years; and 23 healthy…
Comparison
Type 2 diabetes mellitus (observational exposure) vs Healthy age-matched control subjects
Design
Case-control
Authors
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Nonlinear HRV parameters may flag autonomic changes in diabetes; leaves open their added value for risk stratification.
Cross-Sectional (n=46)
No
Does type 2 diabetes mellitus alter heart rate variability patterns measured by nonlinear methods compared to healthy controls?
Absolute Event Rate: 1.02% vs 0.88%
p-value: p=<0.001
Nonlinear HRV analysis methods, including lagged Poincaré plots and detrended fluctuation analysis, can effectively detect early signs of cardiac autonomic neuropathy in patients with type 2 diabetes.
Roy et al. (2013) conducted a cross-sectional in Type 2 diabetes mellitus (n=46). Type 2 diabetes mellitus vs. Healthy controls was evaluated on Detrended Fluctuation Analysis (DFA) scaling exponent (alpha) (p=<0.001). Type 2 diabetes patients exhibited significantly altered heart rate variability compared to healthy controls, including a higher detrended fluctuation analysis exponent (1.02 vs 0.88, p<0.001).
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