Literature DB >> 29318566

Diagnostic accuracy of level IV portable sleep monitors versus polysomnography for obstructive sleep apnea: a systematic review and meta-analysis.

Lusine Abrahamyan1,2, Yeva Sahakyan3, Suzanne Chung3, Petros Pechlivanoglou4,5, Joanna Bielecki3, Steven M Carcone3, Valeria E Rac3,4, Michael Fitzpatrick6, Murray Krahn3,4,7.   

Abstract

PURPOSE: Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder. In-laboratory, overnight type I polysomnography (PSG) is the current "gold standard" for diagnosing OSA. Home sleep apnea testing (HSAT) using portable monitors (PMs) is an alternative testing method offering better comfort and lower costs. We aimed to systematically review the evidence on diagnostic ability of type IV PMs compared to PSG in diagnosing OSA.
METHODS: Participants: patients ≥16 years old with symptoms suggestive of OSA;intervention: type IV PMs (devices with < 2 respiratory channels); comparator: in-laboratory PSG; outcomes: diagnostic accuracy measures;studies: cross-sectional, prospective observational/experimental/quasi-experimental studies; information sources: MEDLINE and Cochrane Library from January 1, 2010 to May 10, 2016. All stages of review were conducted independently by two investigators.
RESULTS: We screened 6054 abstracts and 117 full-text articles to select 24 full-text articles for final review. These 24 studies enrolled a total of 2068 patients with suspected OSA and evaluated 10 different PMs with one to six channels. Only seven (29%) studies tested PMs in the home setting. The mean difference (bias) between PSG-measured and PM-measured apnea-hypopnea index (AHI) ranged from - 14.8 to 10.6 events/h. At AHI ≥ 5 events/h, the sensitivity of type IV PMs ranged from 67.5-100% and specificity ranged from 25 to 100%.
CONCLUSION: While current evidence is not very strong for the stand-alone use of level IV PMs in clinical practice, they can potentially widen access to diagnosis and treatment of OSA. Policy recommendations regarding HSAT use should also consider the health and broader social implications of false positive and false negative diagnoses.

Entities:  

Keywords:  Home sleep apnea testing; Obstructive sleep apnea; Polysomnography; Systematic review

Mesh:

Year:  2018        PMID: 29318566     DOI: 10.1007/s11325-017-1615-1

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


  42 in total

Review 1.  Sleep-related breathing disorders in adults: recommendations for syndrome definition and measurement techniques in clinical research. The Report of an American Academy of Sleep Medicine Task Force.

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

2.  The role of single-channel nasal airflow pressure transducer in the diagnosis of OSA in the sleep laboratory.

Authors:  Lydia Makarie Rofail; Keith K H Wong; Gunnar Unger; Guy B Marks; Ronald R Grunstein
Journal:  J Clin Sleep Med       Date:  2010-08-15       Impact factor: 4.062

3.  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

4.  Novel mathematical processing method of nocturnal oximetry for screening patients with suspected sleep apnoea syndrome.

Authors:  Laurent Poupard; Carole Philippe; Michael David Goldman; Richard Sartène; Marc Mathieu
Journal:  Sleep Breath       Date:  2011-04-15       Impact factor: 2.816

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.  Comparison between a single-channel nasal airflow device and oximetry for the diagnosis of obstructive sleep apnea.

Authors:  Lydia Makarie Rofail; Keith K H Wong; Gunnar Unger; Guy B Marks; Ronald R Grunstein
Journal:  Sleep       Date:  2010-08       Impact factor: 5.849

Review 7.  Practice parameters for the indications for polysomnography and related procedures: an update for 2005.

Authors:  Clete A Kushida; Michael R Littner; Timothy Morgenthaler; Cathy A Alessi; Dennis Bailey; Jack Coleman; Leah Friedman; Max Hirshkowitz; Sheldon Kapen; Milton Kramer; Teofilo Lee-Chiong; Daniel L Loube; Judith Owens; Jeffrey P Pancer; Merrill Wise
Journal:  Sleep       Date:  2005-04       Impact factor: 5.849

8.  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

9.  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

10.  The efficacy of Watch PAT in obstructive sleep apnea syndrome diagnosis.

Authors:  Emine Körkuyu; Mehmet Düzlü; Recep Karamert; Hakan Tutar; Metin Yılmaz; Bülent Çiftçi; Selma Fırat Güven
Journal:  Eur Arch Otorhinolaryngol       Date:  2014-05-17       Impact factor: 2.503

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  7 in total

1.  Vision-Based Heart and Respiratory Rate Monitoring During Sleep - A Validation Study for the Population at Risk of Sleep Apnea.

Authors:  Kaiyin Zhu; Michael Li; Sina Akbarian; Maziar Hafezi; Azadeh Yadollahi; Babak Taati
Journal:  IEEE J Transl Eng Health Med       Date:  2019-10-14       Impact factor: 3.316

2.  Comparative study of a wearable intelligent sleep monitor and polysomnography monitor for the diagnosis of obstructive sleep apnea.

Authors:  Yanxia Xu; Qiong Ou; Yilu Cheng; Miaochan Lao; Guo Pei
Journal:  Sleep Breath       Date:  2022-03-26       Impact factor: 2.816

3.  Evaluating Prediction Models of Sleep Apnea From Smartphone-Recorded Sleep Breathing Sounds.

Authors:  Sung-Woo Cho; Sung Jae Jung; Jin Ho Shin; Tae-Bin Won; Chae-Seo Rhee; Jeong-Whun Kim
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2022-06-01       Impact factor: 8.961

4.  Preferred Attributes of Care Pathways for Obstructive Sleep Apnoea from the Perspective of Diagnosed Patients and High-Risk Individuals: A Discrete Choice Experiment.

Authors:  Andrea N Natsky; Andrew Vakulin; Ching Li Chai-Coetzer; R Doug McEvoy; Robert J Adams; Billingsley Kaambwa
Journal:  Appl Health Econ Health Policy       Date:  2022-02-10       Impact factor: 3.686

5.  Economic evaluation of diagnostic sleep studies for obstructive sleep apnoea: a systematic review protocol.

Authors:  Andrea N Natsky; Andrew Vakulin; Ching Li Chai Coetzer; R D McEvoy; Robert J Adams; Billingsley Kaambwa
Journal:  Syst Rev       Date:  2021-04-09

6.  Study protocol to assess de-implementation of the initial provider encounter for diagnosis and treatment of obstructive sleep apnea: the DREAM (Direct Referral for Apnea Monitoring) Project.

Authors:  Robert L Folmer; Eilis A Boudreau; Charles W Atwood; Connor J Smith; Annette M Totten; Jamie L Tock; Priyanka Chilakamarri; Kathleen F Sarmiento
Journal:  BMC Pulm Med       Date:  2022-04-02       Impact factor: 3.320

7.  Assessment of Mandibular Movement Monitoring With Machine Learning Analysis for the Diagnosis of Obstructive Sleep Apnea.

Authors:  Jean-Louis Pépin; Clément Letesson; Nhat Nam Le-Dong; Antoine Dedave; Stéphane Denison; Valérie Cuthbert; Jean-Benoît Martinot; David Gozal
Journal:  JAMA Netw Open       Date:  2020-01-03
  7 in total

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