Literature DB >> 9817143

Simultaneous laboratory-based comparison of ResMed Autoset with polysomnography in the diagnosis of sleep apnoea/hypopnoea syndrome.

P Mayer1, J C Meurice, F Philip-Joet, A Cornette, D Rakotonanahary, N Meslier, J L Pepin, P Lévy, D Veale.   

Abstract

ResMed Autoset (AS) is a simplified diagnosis system for obstructive sleep apnoea/hypopnoea syndrome (OSAS) based on the respiratory flow/time relationship by pressure variation measured through simple nasal prongs. A multicentre prospective trial was used to compare AS and polysomnography (PSG) for diagnosing 95 patients, with suspected OSAS. Physicians gave a pretest probability of the patient having OSAS. The apnoea/hypopnoea index (AHI) was compared between the two methods of diagnosis for the whole population and for subgroups according to the pretest probability. Twenty-four patients had AHI < 15 events x h(-1) on PSG and 19 AHI 15-30, and 52 patients had AHI > or = 30. Correlation between AHI assessed by AS and PSG was r=0.87 for total sleep time (TST), p<0.0001. A Bland and Altman plot gave an agreement between the two methods of +/-40%. For a threshold of AHI > or = 15 events x h(-1) to diagnose OSAS, AS has a sensitivity of 92%, specificity of 79%, positive predictive value of 93% and negative predictive value of 76%. With a pretest probability > or = 80%, sensitivity and positive predictive value were 98 and 100% respectively. Of six false negative, four had a high pretest probability (> 80%) or Epworth score > or = 10. Using these parameters as a criterion for proceeding to PSG after a negative AS study would mean that two apnoeic patients (AHI 20 and 17 events x h(-1) by PSG) would escape detection. The Autoset is useful for the detection of obstructive sleep apnoea but with high pretest probability and a negative Autoset result polysomnography should be performed.

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Year:  1998        PMID: 9817143     DOI: 10.1183/09031936.98.12040770

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  8 in total

1.  A portable automated assessment tool for sleep apnea using a combined Holter-oximeter.

Authors:  Conor Heneghan; Chern-Pin Chua; John F Garvey; Philip de Chazal; Redmond Shouldice; Patricia Boyle; Walter T McNicholas
Journal:  Sleep       Date:  2008-10       Impact factor: 5.849

2.  The accuracy of autotitrating CPAP-determined residual apnea-hypopnea index.

Authors:  Aykut Cilli; Rusen Uzun; Ugur Bilge
Journal:  Sleep Breath       Date:  2012-02-28       Impact factor: 2.816

3.  A randomized crossover trial of the effect of a novel method of pressure control (SensAwake) in automatic continuous positive airway pressure therapy to treat sleep disordered breathing.

Authors:  George C Dungan; Nathaniel S Marshall; Camilla M Hoyos; Brendon J Yee; Ronald R Grunstein
Journal:  J Clin Sleep Med       Date:  2011-06-15       Impact factor: 4.062

4.  Nasal pressure recordings to detect obstructive sleep apnea.

Authors:  Fernanda Ribeiro de Almeida; Najib T Ayas; Ryo Otsuka; Hiroshi Ueda; Peter Hamilton; Frank C Ryan; Alan A Lowe
Journal:  Sleep Breath       Date:  2006-06       Impact factor: 2.816

5.  Neurophysiological two-channel polysomnographic device in the diagnosis of sleep apnea.

Authors:  Alex Ferré; Gabriel Sampol; Maria José Jurado; Roser Cambrodi; Patricia Lloberes; Odile Romero
Journal:  J Clin Sleep Med       Date:  2012-04-15       Impact factor: 4.062

6.  Sleep disordered breathing analysis in a general population using standard pulse oximeter signals.

Authors:  Deganit Barak-Shinar; Yariv Amos; Richard K Bogan
Journal:  Sleep Breath       Date:  2013-02-06       Impact factor: 2.816

7.  In-home, self-assembled sleep studies are useful in diagnosing sleep apnea in the elderly.

Authors:  Christian R Morales; Sharon Hurley; Lindsay C Wick; Bethany Staley; Frances M Pack; Nalaka S Gooneratne; Greg Maislin; Allan Pack; Indira Gurubhagavatula
Journal:  Sleep       Date:  2012-11-01       Impact factor: 5.849

Review 8.  Utility of portable monitoring in the diagnosis of obstructive sleep apnea.

Authors:  U Krishnaswamy; A Aneja; R Mohan Kumar; T Prasanna Kumar
Journal:  J Postgrad Med       Date:  2015 Oct-Dec       Impact factor: 1.476

  8 in total

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