Literature DB >> 9817142

Detection of apnoeas, hypopnoeas and arousals by the AutoSet in the sleep apnoea/hypopnoea syndrome.

K Rees1, P K Wraith, M Berthon-Jones, N J Douglas.   

Abstract

Limited sleep study systems are increasingly being used to diagnose the sleep apnoea/hypopnoea syndrome, but validation is essential and detection of arousal's desirable. One such system (AutoSet) was validated on an event-by-event basis, and the hypothesis that sudden large breaths detected by this system mark arousal from sleep was also examined. Twenty consecutive patients (apnoea/hypopnoea index (AHI) 39+/-6 (SEM)) underwent polysomnography (PSG), which included real-time signals of AutoSet (Version 3.03) scored events. PSG respiratory events were defined using airflow and thoracoabdominal movement and AutoSet events using nasal pressure. All apnoeas were scored by both systems, but 41% more hypopnoeas were scored on PSG and these were clinically significant, with 78% ending in cortical arousal. Twenty per cent of apnoeas and hypopnoeas scored by the AutoSet occurred during wakefulness. Large breaths, defined as a two-thirds increase in ventilation, marked 77% of respiratory-associated but only 9% of spontaneous arousals. Large breaths also marked 48% of "autonomic" arousals following respiratory events without visible electroencephalographic changes. Twenty-seven per cent of large breaths occurred during wakefulness. This study shows that the AutoSet and the standard polysomnographic approach differ in their detection of hypopnoeas. The AutoSet underdetected hypopnoeas during sleep, but also included some hypopnoeas occurring during wakefulness. Detection of large breaths may potentially be useful for identifying respiratory arousals. Detection of periods of wakefulness may improve the accuracy of the system.

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Year:  1998        PMID: 9817142     DOI: 10.1183/09031936.98.12040764

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


  6 in total

1.  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

2.  Partners of patients with sleep apnoea/hypopnoea syndrome: effect of CPAP treatment on sleep quality and quality of life.

Authors:  N McArdle; R Kingshott; H M Engleman; T W Mackay; N J Douglas
Journal:  Thorax       Date:  2001-07       Impact factor: 9.139

3.  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

4.  A longitudinal study of the accuracy of positive airway pressure therapy machine-detected apnea-hypopnea events.

Authors:  Yue-Nan Ni; Robert Joseph Thomas
Journal:  J Clin Sleep Med       Date:  2022-04-01       Impact factor: 4.062

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

6.  Oximetry Monitoring Recommended During PAP Initiation for Sleep Apnea in Patients With Obesity or Nocturnal Hypoxemia.

Authors:  Victor Koivumäki; Paula Maasilta; Adel Bachour
Journal:  J Clin Sleep Med       Date:  2018-11-15       Impact factor: 4.062

  6 in total

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