Literature DB >> 19220528

Validation of a portable recording device (ApneaLink) for identifying patients with suspected obstructive sleep apnoea syndrome.

S S S Ng1, T-O Chan, K-W To, J Ngai, A Tung, F W S Ko, D S C Hui.   

Abstract

BACKGROUND: Polysomnography (PSG) is currently the standard diagnostic procedure for sleep apnoea. This study evaluates the diagnostic accuracy of a portable recording device, ApneaLink (AL; ResMed, Poway, CA, USA) for detection of sleep apnoea in comparisons against PSG.
METHODS: The AL device is a three-channel screening tool that measures airflow through a nasal pressure transducer, oximetry and pulse, providing an apnoea-hypopnoea index (AHI) based on recording time. Nocturnal PSG (Alice 4; Healthdyne, Atlanta, GA, USA), with airflow measured by a nasal pressure transducer (ProTech PTAF2; ProTech, Woodinville, WA, USA) and AL recordings were carried out simultaneously in consecutive patients with suspected obstructive sleep apnoea syndrome (OSAS). The PSG recordings were analysed manually by a blinded investigator. The oxygen desaturation index of AL was also compared against the AHI based on PSG.
RESULTS: Fifty consecutive subjects with symptoms of OSAS were recruited with mean age of 50 years and body mass index of 27.9 kg/m2. The AHI obtained by the AL device correlated closely to that obtained by PSG (Pearson correlation, r= 0.978, P < 0.001), whereas the correlation between PSG AHI and oxygen desaturation index by AL was also strong (r= 0.895, P < 0.001). Comparison of AHI based on the AL against the PSG demonstrated high sensitivity and specificity at AHI > or =10/h (sensitivity 0.977 and specificity 1.0) and at AHI > or =20/h (sensitivity 0.969 and specificity 1.0).
CONCLUSION: The AL portable monitoring device is highly sensitive and specific in quantifying the apnoea-hypopnoea index when compared against hospital based polysomnography in patients with suspected OSAS. The simple device may be useful for screening and diagnostic purpose when access to PSG is limited.

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Year:  2008        PMID: 19220528     DOI: 10.1111/j.1445-5994.2008.01827.x

Source DB:  PubMed          Journal:  Intern Med J        ISSN: 1444-0903            Impact factor:   2.048


  53 in total

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Authors:  Shih Hao Lin; Chantale Branson; Jamie Leung; Lisa Park; Nirmita Doshi; Sanford H Auerbach
Journal:  J Clin Sleep Med       Date:  2018-12-15       Impact factor: 4.062

2.  Comparison of Commonly Used Questionnaires to Identify Obstructive Sleep Apnea in a High-Risk Population.

Authors:  Kirk Kee; John Dixon; Jonathan Shaw; Elena Vulikh; Markus Schlaich; David M Kaye; Paul Zimmet; Matthew T Naughton
Journal:  J Clin Sleep Med       Date:  2018-12-15       Impact factor: 4.062

3.  Validation of the Behavioral Risk Factor Surveillance System Sleep Questions.

Authors:  Carla R Jungquist; Jaime Mund; Alan T Aquilina; Karen Klingman; John Pender; Heather Ochs-Balcom; Edwin van Wijngaarden; Suzanne S Dickerson
Journal:  J Clin Sleep Med       Date:  2016-03       Impact factor: 4.062

4.  Comparison of the automatic analysis versus the manual scoring from ApneaLink™ device for the diagnosis of obstructive sleep apnoea syndrome.

Authors:  Carlos Alberto Nigro; Eduardo Dibur; Silvia Aimaretti; Sergio González; Edgardo Rhodius
Journal:  Sleep Breath       Date:  2010-10-03       Impact factor: 2.816

Review 5.  Obstructive sleep apnea devices for out-of-center (OOC) testing: technology evaluation.

Authors:  Nancy A Collop; Sharon L Tracy; Vishesh Kapur; Reena Mehra; David Kuhlmann; Sam A Fleishman; Joseph M Ojile
Journal:  J Clin Sleep Med       Date:  2011-10-15       Impact factor: 4.062

6.  Ambulatory screening for obstructive sleep apnea in patients with resistant arterial hypertension.

Authors:  Monika Kamasová; Jan Václavík; Tomáš Václavík; Milada Hobzová; Eva Kociánová; Miloš Táborský
Journal:  Sleep Breath       Date:  2017-10-27       Impact factor: 2.816

7.  Validation of a portable monitor for the diagnosis of obstructive sleep apnea in morbidly obese patients.

Authors:  Jan Magnus Fredheim; J Røislien; J Hjelmesæth
Journal:  J Clin Sleep Med       Date:  2014-07-15       Impact factor: 4.062

Review 8.  Diagnostic accuracy of level 3 portable sleep tests versus level 1 polysomnography for sleep-disordered breathing: a systematic review and meta-analysis.

Authors:  Mohamed El Shayeb; Leigh-Ann Topfer; Tania Stafinski; Lawrence Pawluk; Devidas Menon
Journal:  CMAJ       Date:  2013-11-11       Impact factor: 8.262

9.  Ischemic stroke subtype and presence of sleep-disordered breathing: the BASIC sleep apnea study.

Authors:  Devin L Brown; Ashkan Mowla; Mollie McDermott; Lewis B Morgenstern; Garnett Hegeman; Melinda A Smith; Nelda M Garcia; Ronald D Chervin; Lynda D Lisabeth
Journal:  J Stroke Cerebrovasc Dis       Date:  2014-12-10       Impact factor: 2.136

10.  Prediction of sleep-disordered breathing after stroke.

Authors:  Devin L Brown; Kevin He; Sehee Kim; Chia-Wei Hsu; Erin Case; Ronald D Chervin; Lynda D Lisabeth
Journal:  Sleep Med       Date:  2020-05-15       Impact factor: 3.492

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