Literature DB >> 30311183

Addition of frontal EEG to adult home sleep apnea testing: does a more accurate determination of sleep time make a difference?

Matthew P Light1,2, Thalia N Casimire3, Catherine Chua3,4, Viachaslau Koushyk3, Omar E Burschtin3,4, Indu Ayappa3,4, David M Rapoport3,4.   

Abstract

RATIONALE: Home sleep apnea testing (HSAT) typically does not include electroencephalogram (EEG) monitoring for sleep assessment. In patients with insomnia and low sleep efficiency, overestimation of the sleep period can result from absence of EEG, which will reduce sleep disordered breathing (SDB) indices and may lead to a false-negative result.
OBJECTIVE: To validate a single channel frontal EEG for scoring sleep versus wake against full EEG during polysomnography, and then to examine the utility of adding this single channel EEG to standard HSAT to prevent false-negative results.
METHODS: Epoch-by-epoch validation for sleep scoring of single channel EEG versus full PSG was first performed in 21 subjects. This was followed by a separate retrospective analysis of 207 consecutive HSATs in adults performed in a university-affiliated sleep center using the Somte (Compumedics) HSAT with one frontal EEG as well as chin EMG, nasal airflow, oxyhemoglobin saturation, respiratory effort, pulse rate, and body position. Each study was scored twice, with (HSATEEG) and without the EEG signal visible (HSATPolygraphy), to calculate AHI4 and RDI and the effect on OSA diagnosis and severity. Analyses were repeated in 69 patients with poor sleep suggesting insomnia plus Epworth Sleepiness Scale < 7 as well as in 38 patients ultimately shown to have sleep efficiency < 70% on HSAT with EEG.
MEASUREMENTS AND MAIN RESULTS: Single channel and full EEG during polysomnography agreed on sleep versus wake in 92-95% of all epochs. HSAT without EEG overestimated the sleep period by 20% (VST = 440 ± 76 min vs TST = 356 ± 82 min), had a false-negative rate of 8% by AHI4 criteria, and underestimated disease severity in 11% of all patients. Sub-group analysis of patients with subjective poor sleep suggesting insomnia did not change the results. Patients later shown to have low sleep efficiency had lower SDB indices and a 20.8% false negative rate of sleep apnea diagnosis.
CONCLUSIONS: Although overall false negative rates using HSATPolygraphy were moderate, suggesting utility for ruling out OSA, there was a specific subgroup in whom there were significant missed diagnoses. However, we were unable to identify this subgroup a priori.

Entities:  

Keywords:  Electroencephalogram; Home sleep apnea testing; OSA diagnosis; Obstructive sleep apnea; Portable monitoring

Mesh:

Year:  2018        PMID: 30311183     DOI: 10.1007/s11325-018-1735-2

Source DB:  PubMed          Journal:  Sleep Breath        ISSN: 1520-9512            Impact factor:   2.816


  36 in total

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Journal:  Sleep       Date:  1999-08-01       Impact factor: 5.849

2.  Validation of the Insomnia Severity Index as an outcome measure for insomnia research.

Authors:  C H. Bastien; A Vallières; C M. Morin
Journal:  Sleep Med       Date:  2001-07       Impact factor: 3.492

Review 3.  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

4.  Validation of the Insomnia Severity Index in primary care.

Authors:  Christine Gagnon; Lynda Bélanger; Hans Ivers; Charles M Morin
Journal:  J Am Board Fam Med       Date:  2013 Nov-Dec       Impact factor: 2.657

5.  Home-based diagnosis of obstructive sleep apnea in an urban population.

Authors:  Natasha Garg; Andrew J Rolle; Todd A Lee; Bharati Prasad
Journal:  J Clin Sleep Med       Date:  2014-08-15       Impact factor: 4.062

6.  Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline.

Authors:  Vishesh K Kapur; Dennis H Auckley; Susmita Chowdhuri; David C Kuhlmann; Reena Mehra; Kannan Ramar; Christopher G Harrod
Journal:  J Clin Sleep Med       Date:  2017-03-15       Impact factor: 4.062

7.  Non-Invasive detection of respiratory effort-related arousals (REras) by a nasal cannula/pressure transducer system.

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Journal:  Sleep       Date:  2000-09-15       Impact factor: 5.849

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Authors:  T Young; M Palta; J Dempsey; J Skatrud; S Weber; S Badr
Journal:  N Engl J Med       Date:  1993-04-29       Impact factor: 91.245

9.  Management of sleep apnea without high pretest probability or with comorbidities by three nights of portable sleep monitoring.

Authors:  Arnoldo Guerrero; Cristina Embid; Valentina Isetta; Ramón Farre; Joaquin Duran-Cantolla; Olga Parra; Ferran Barbé; Josep M Montserrat; Juan F Masa
Journal:  Sleep       Date:  2014-08-01       Impact factor: 5.849

10.  Clinical guidelines for the use of unattended portable monitors in the diagnosis of obstructive sleep apnea in adult patients. Portable Monitoring Task Force of the American Academy of Sleep Medicine.

Authors:  Nancy A Collop; W McDowell Anderson; Brian Boehlecke; David Claman; Rochelle Goldberg; Daniel J Gottlieb; David Hudgel; Michael Sateia; Richard Schwab
Journal:  J Clin Sleep Med       Date:  2007-12-15       Impact factor: 4.062

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Review 1.  Metrics of sleep apnea severity: beyond the apnea-hypopnea index.

Authors:  Atul Malhotra; Indu Ayappa; Najib Ayas; Nancy Collop; Douglas Kirsch; Nigel Mcardle; Reena Mehra; Allan I Pack; Naresh Punjabi; David P White; Daniel J Gottlieb
Journal:  Sleep       Date:  2021-07-09       Impact factor: 6.313

2.  Obstructive sleep apnea as a risk factor for primary open angle glaucoma and ocular hypertension in a monocentric pilot study.

Authors:  Katharina Bahr; Michael Bopp; Waeel Kewader; Henri Dootz; Julia Döge; Tilman Huppertz; Perikles Simon; Verena Prokosch-Willing; Christoph Matthias; Haralampos Gouveris
Journal:  Respir Res       Date:  2020-10-08
  2 in total

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