Heart rate variability analysis in obstructive sleep apnea patients with daytime sleepiness

Author:

Ucak Seren1ORCID,Dissanayake Hasthi U12ORCID,de Chazal Philip13ORCID,Bin Yu Sun12ORCID,Sutherland Kate12ORCID,Setionago Bianca1ORCID,Tong Benjamin12ORCID,Yee Brendon J45ORCID,Kairaitis Kristina467ORCID,Wheatley John R467ORCID,Piper Amanda J48,Cistulli Peter A12ORCID, ,Cistulli Peter,de Chazal Philip,Sutherland Kate,Sarkissian Nina,Moi Chow Chin,Chan Andrew,Lowth Aimee,Graham Jacob,Wood William,Cohen Gary,Bennett Callum,Ahmadi Mohammad,Wheatley John,Kairaitis Kristina,Lambert Stephen,Ginn Rita,Burns Tracey,Yee Brendon,Piper Amanda,Wong Keith,Melehan Kerri,Chan Margaret,Wang David,Gauthier Gislaine

Affiliation:

1. Charles Perkins Centre and Northern Clinical School, Faculty of Medicine and Health, University of Sydney , Sydney, NSW , Australia

2. Department of Respiratory and Sleep Medicine, Royal North Shore Hospital , Sydney, NSW , Australia

3. School of Biomedical Engineering, Faculty of Engineering, University of Sydney , Sydney, NSW , Australia

4. Sydney Medical School, Faculty of Medicine and Health, University of Sydney , Sydney, NSW , Australia

5. Woolcock Institute of Medical Research, Royal Prince Alfred Hospital , Sydney, NSW , Australia

6. Ludwig Engel Centre for Respiratory Research, Westmead Institute for Medical Research , Sydney, NSW , Australia

7. Department of Respiratory and Sleep Medicine, Westmead Hospital , Sydney, NSW , Australia

8. Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital , Sydney, NSW , Australia

Abstract

Abstract Study Objectives Recent studies suggest that sleepy patients with obstructive sleep apnea (OSA) are at higher risk for incident cardiovascular disease. This study assessed cardiac autonomic function in sleepy versus non-sleepy patients with OSA using heart rate variability (HRV) analysis. We hypothesized that HRV profiles of sleepy patients would indicate higher cardiovascular risk. Methods Electrocardiograms (ECG) derived from polysomnograms (PSG) collected by the Sydney Sleep Biobank were used to study HRV in groups of sleepy (ESS ≥ 10) and non-sleepy OSA patients (ESS < 10). HRV parameters were averaged across available ECG signals during N2 sleep. Results A total of 421 patients were evaluated, with a mean age of 54 (14) years, body mass index of 33 (9) kg/m2, apnea–hypopnea index of 21 (28) events/h, and 66% male. The sleepy group consisted of 119 patients and the non-sleepy group 302 patients. Sleepy patients exhibited lower HRV values for: root mean square successive difference (RMSSD, p = 0.028), total power (TP, p = 0.031), absolute low frequency (LF, p = 0.045), and high-frequency (HF, p = 0.010) power compared to non-sleepy patients. Sleepy patients with moderate-to-severe OSA exhibited lower HRV values for: (RMSSD, p = 0.045; TP, p = 0.052), absolute LF (p = 0.051), and HF power (p = 0.025). There were no differences in other time and frequency domain HRV markers. Conclusions This study shows a trend toward parasympathetic withdrawal in sleepy OSA patients, particularly in moderate-to-severe cases, lending mechanistic support to the link between the sleepy phenotype and CVD risk in OSA.

Publisher

Oxford University Press (OUP)

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