Literature DB >> 8947086

Comparison of a limited computerized diagnostic system (ResCare Autoset) with polysomnography in the diagnosis of obstructive sleep apnoea syndrome.

J L Kiely1, C Delahunty, S Matthews, W T McNicholas.   

Abstract

The increasing numbers of patients referred for evaluation of suspected obstructive sleep apnoea (OSA) places a growing burden on available sleep laboratory resources. A number of limited diagnostic systems have been developed in an effort to cope with this clinical problem. In this study, the diagnostic capabilities of one limited diagnostic system (ResCare Autoset) were compared with full polysomnography (PSG), using the Oxford SAC computerized system. Thirty six patients with suspected OSA had simultaneous studies performed both with the Autoset and Oxford PSG systems. The apnoea plus hypopnoea index (AHI) (events x h(-1)) scored by the Autoset system was compared with the AHI scored from the PSG raw tracings by an experienced sleep technician. There were highly significant correlations between the Autoset AHI and the AHI scored by the manual PSG scoring method (r=0.92; p<0.001). The positive predictive value for diagnosis of OSA for the Autoset was 86% when compared with manual PSG scoring, based on an AHI threshold for OSA of 15 events x h(-1). However, the agreement between Autoset and PSG was poor in severe cases of OSA, although not sufficiently so as to result in mistaken diagnosis in any of these cases. We conclude that the Autoset system is a sensitive and easy to use system, which facilitates screening for obstructive sleep apnoea with a reasonable degree of accuracy.

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Year:  1996        PMID: 8947086     DOI: 10.1183/09031936.96.09112360

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


  7 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.  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

4.  Diagnostic performance of single airflow channel recording (ApneaLink) in home diagnosis of sleep apnea.

Authors:  Regine Ragette; Yi Wang; Gerhard Weinreich; Helmut Teschler
Journal:  Sleep Breath       Date:  2009-08-28       Impact factor: 2.816

5.  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 6.  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

7.  Screening for severe obstructive sleep apnea syndrome in hypertensive outpatients.

Authors:  Indira Gurubhagavatula; Barry G Fields; Christian R Morales; Sharon Hurley; Grace W Pien; Lindsay C Wick; Bethany A Staley; Raymond R Townsend; Greg Maislin
Journal:  J Clin Hypertens (Greenwich)       Date:  2013-02-12       Impact factor: 3.738

  7 in total

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