Key result
Variance delay fuzzy approximate entropy (VD_fApEn) achieved 90% OSA screening accuracy, outperforming LF/HF ratio (80%) and fApEn (78.3%) (p < 0.05).
Why the study?
Obstructive sleep apnea induces declined heart rate variability and autonomic nervous system dysfunction, prompting the evaluation of variance delay fuzzy approximate entropy to study autonomic fluctuations.
Does VD_fApEn improve the accuracy of OSA screening and severity analysis compared to traditional HRV indices?
Cross-Sectional (n=60)
Does VD_fApEn improve the accuracy of OSA screening and severity analysis compared to traditional HRV indices?
Absolute Event Rate: 90% vs 80%
p-value: p=< 0.05
VD_fApEn provides a potentially more accurate clinical method for autonomic nervous system fluctuation analysis and severity screening in OSA patients compared to traditional HRV indices.
Obstructive sleep apnea (OSA) is a fatal respiratory disease occurring in sleep. OSA can induce declined heart rate variability (HRV) and was reported to have autonomic nerve system (ANS) dysfunction. Variance delay fuzzy approximate entropy (VD_fApEn) was proposed as a nonlinear index to study the fluctuation change of ANS in OSA patients. Sixty electrocardiogram (ECG) recordings of the PhysioNet database (20 normal, 14 mild-moderate OSA, and 26 severe OSA) were intercepted for 6 h and divided into 5-min segments. HRV analysis were adopted in traditional frequency domain, and nonlinear HRV indices were also calculated. Among these indices, VD_fApEn could significantly differentiate among the three groups (p < 0.05) compared with the ratio of low frequency power and high frequency power (LF/HF ratio) and fuzzy approximate entropy (fApEn). Moreover, the VD_fApEn (90%) reached a higher OSA screening accuracy compared with LF/HF ratio (80%) and fApEn (78.3%). Therefore, VD_fApEn provides a potential clinical method for ANS fluctuation analysis in OSA patients and OSA severity analysis.
No takes yet. Share an insight, caveat, or question.
Li et al. (2020) conducted a cross-sectional in Obstructive sleep apnea (n=60). Variance delay fuzzy approximate entropy (VD_fApEn) vs. LF/HF ratio and fuzzy approximate entropy (fApEn) was evaluated on OSA screening accuracy (p=< 0.05). Variance delay fuzzy approximate entropy (VD_fApEn) achieved 90% OSA screening accuracy, outperforming LF/HF ratio (80%) and fApEn (78.3%) (p < 0.05).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: