Key result
Sex-specific HRV entropy analysis detects sleep apnoea with ~85% accuracy in women.
Why the study?
Entropy measures of heart rate variability have shown utility to characterize heart dynamics, but their ability to detect sleep apnoea-hypopnea syndrome and gender differences was not fully assessed.
Does spectral entropy and multiscale entropy analysis of heart rate variability accurately detect sleep apnoea-hypopnea syndrome, and does performance differ by gender?
Population
188 subjects evaluated for sleep apnoea-hypopnea syndrome
Comparison
Spectral entropy and multiscale entropy analyses of HRV recordings
Design
Cross-sectional study
Authors
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Gender-stratified HRV entropy models may aid SAHS detection; leaves open prospective validation before clinical use.
Cross-Sectional (n=188)
Does spectral entropy and multiscale entropy analysis of heart rate variability accurately detect sleep apnoea-hypopnea syndrome, and does performance differ by gender?
Heart rate variability entropy measures can accurately detect sleep apnea, with diagnostic performance significantly improved when models are separated by gender.
Gutiérrez‐Tobal et al. (2015) conducted a cross-sectional in Sleep apnoea-hypopnea syndrome (SAHS) (n=188). Spectral entropy (SE) and multiscale entropy (MsE) analysis of HRV was evaluated on Diagnostic accuracy and area under the ROC curve (AROC) for SAHS. Spectral and multiscale entropy analysis of heart rate variability detected sleep apnoea with higher accuracy when modeled separately by gender, achieving 85.2% accuracy (AROC 0.951) in women.
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