Screening of Patients with Snoring and Obstructive Sleep Apnoea using Heart Rate Variability Indices

Objective: Snoring and obstructive sleep apnea (OSA) are common disorders. Snoring associated with excessive daytime sleepiness is the most prevalent symptoms of OSA. Heart rate variability (HRV) is altered in patients with OSA and the degree of alteration may be linked to the severity of OSA. Alter...

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Main Authors: Omar Al Rawas, Bazdawi Al-Riyami, Christopher Goddard, Mohammed O Hassan
Format: Article
Language:English
Published: Sultan Qaboos University 2008-03-01
Series:Sultan Qaboos University Medical Journal
Subjects:
Online Access:https://journals.squ.edu.om/index.php/squmj/article/view/1318
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author Omar Al Rawas
Bazdawi Al-Riyami
Christopher Goddard
Mohammed O Hassan
author_facet Omar Al Rawas
Bazdawi Al-Riyami
Christopher Goddard
Mohammed O Hassan
author_sort Omar Al Rawas
collection DOAJ
description Objective: Snoring and obstructive sleep apnea (OSA) are common disorders. Snoring associated with excessive daytime sleepiness is the most prevalent symptoms of OSA. Heart rate variability (HRV) is altered in patients with OSA and the degree of alteration may be linked to the severity of OSA. Alterations in HRV in 24 hour tachograms have recently been used in screening OSA patients. Autonomic components causing HRV can be reliably studied using spectral analysis techniques involving fast Fourier transformation (FFT). Methods: Twenty-three subjects, 13 with severe OSA and 10 controls matched for age and body mass index, were selected from patients who had undergone polysomnography (PSG) for snoring at Sultan Qaboos University Hospital, Oman. A 24- hour electrocardiogram (ECG) Holter recording was done at home, starting at 10am. Spectral analysis of ECG from sleep Holter and PSG recordings was analysed using fast Fourier transformation (FFT). Results: The ECG RR intervals of snorers with OSA were significantly shorter than in snorers without OSA (p<0.01). The low frequency (LF) spectral densities of HRV from polysomnography and Holter were significantly higher in OSA patients than in snorers, (p< 0.0001). The power spectral density of the high frequency bands was similar in the two groups. The overnight ECG Holter accurately identified all 13 snorers with severe OSA. Conclusion: The spectral power of the LF band obtained using FFT of sleep HRV from Holter tachograms may be a useful and cost effective test in identifying snorers with severe OSA.
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spelling doaj.art-1ff1fae5936640219551e8dea7da86b12022-12-22T03:08:42ZengSultan Qaboos UniversitySultan Qaboos University Medical Journal2075-051X2075-05282008-03-018121251246Screening of Patients with Snoring and Obstructive Sleep Apnoea using Heart Rate Variability IndicesOmar Al Rawas0Bazdawi Al-Riyami1Christopher Goddard2Mohammed O Hassan3Departments of Medicine, College of Medicine & Health Sciences, Sultan Qaboos University, Muscat, Sultanate of OmanDepartments of Medicine, College of Medicine & Health Sciences, Sultan Qaboos University, Muscat, Sultanate of OmanDepartments of Medical Physics Unit, College of Medicine & Health Sciences, Sultan Qaboos University, Muscat, Sultanate of OmanDepartments of Physiology, College of Medicine & Health Sciences, Sultan Qaboos University, Muscat, Sultanate of OmanObjective: Snoring and obstructive sleep apnea (OSA) are common disorders. Snoring associated with excessive daytime sleepiness is the most prevalent symptoms of OSA. Heart rate variability (HRV) is altered in patients with OSA and the degree of alteration may be linked to the severity of OSA. Alterations in HRV in 24 hour tachograms have recently been used in screening OSA patients. Autonomic components causing HRV can be reliably studied using spectral analysis techniques involving fast Fourier transformation (FFT). Methods: Twenty-three subjects, 13 with severe OSA and 10 controls matched for age and body mass index, were selected from patients who had undergone polysomnography (PSG) for snoring at Sultan Qaboos University Hospital, Oman. A 24- hour electrocardiogram (ECG) Holter recording was done at home, starting at 10am. Spectral analysis of ECG from sleep Holter and PSG recordings was analysed using fast Fourier transformation (FFT). Results: The ECG RR intervals of snorers with OSA were significantly shorter than in snorers without OSA (p<0.01). The low frequency (LF) spectral densities of HRV from polysomnography and Holter were significantly higher in OSA patients than in snorers, (p< 0.0001). The power spectral density of the high frequency bands was similar in the two groups. The overnight ECG Holter accurately identified all 13 snorers with severe OSA. Conclusion: The spectral power of the LF band obtained using FFT of sleep HRV from Holter tachograms may be a useful and cost effective test in identifying snorers with severe OSA.https://journals.squ.edu.om/index.php/squmj/article/view/1318obstructive sleep apneaheart rate variability.
spellingShingle Omar Al Rawas
Bazdawi Al-Riyami
Christopher Goddard
Mohammed O Hassan
Screening of Patients with Snoring and Obstructive Sleep Apnoea using Heart Rate Variability Indices
Sultan Qaboos University Medical Journal
obstructive sleep apnea
heart rate variability.
title Screening of Patients with Snoring and Obstructive Sleep Apnoea using Heart Rate Variability Indices
title_full Screening of Patients with Snoring and Obstructive Sleep Apnoea using Heart Rate Variability Indices
title_fullStr Screening of Patients with Snoring and Obstructive Sleep Apnoea using Heart Rate Variability Indices
title_full_unstemmed Screening of Patients with Snoring and Obstructive Sleep Apnoea using Heart Rate Variability Indices
title_short Screening of Patients with Snoring and Obstructive Sleep Apnoea using Heart Rate Variability Indices
title_sort screening of patients with snoring and obstructive sleep apnoea using heart rate variability indices
topic obstructive sleep apnea
heart rate variability.
url https://journals.squ.edu.om/index.php/squmj/article/view/1318
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AT christophergoddard screeningofpatientswithsnoringandobstructivesleepapnoeausingheartratevariabilityindices
AT mohammedohassan screeningofpatientswithsnoringandobstructivesleepapnoeausingheartratevariabilityindices