Key result
Diabetic subjects had reduced heart rate standard deviation compared to healthy subjects (2.80 vs 3.64 beats/min; P<0.001), and nonlinear indices strongly correlated with autonomic dysfunction.
Why the study?
Does nonlinear heart rate variability assessment using recurrence plots correlate better with autonomic dysfunction than linear methods in diabetic subjects?
Population
108 subjects (64 diabetic subjects and 44 healthy subjects)
Comparison
Nonlinear heart rate variability assessment… vs Linear heart rate variability assessment
Design
Cross-sectional
Authors
Loading...
Nonlinear HRV indices may support autonomic dysfunction detection in diabetes; hypothesis-generating and requires prospective validation before clinical adoption.
Cross-Sectional (n=108)
Does nonlinear heart rate variability assessment using recurrence plots correlate better with autonomic dysfunction than linear methods in diabetic subjects?
Absolute Event Rate: 2.8% vs 3.64%
p-value: p=< 0.001
Nonlinear methods such as the recurrence plot may be more effective than traditional linear methods for detecting and exploring autonomic dysfunction in diabetic patients.
Mestivier et al. (1997) conducted a cross-sectional in Diabetes (n=108). Diabetes vs. Healthy subjects was evaluated on Heart rate standard deviation (p=< 0.001). Diabetic subjects had reduced heart rate standard deviation compared to healthy subjects (2.80 vs 3.64 beats/min; P<0.001), and nonlinear indices strongly correlated with autonomic dysfunction.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: