Literature DB >> 20133189

Initial use of portable monitoring versus polysomnography to confirm obstructive sleep apnea in symptomatic patients: an economic decision model.

N T Ayas1, J Fox, L Epstein, C F Ryan, J A Fleetham.   

Abstract

BACKGROUND: When using portable (level III and level IV) studies to "rule in" obstructive sleep apnea (OSA) in symptomatic patients, the pre-test probability (P) needs to be sufficiently high to minimize patients with negative tests who require full polysomnography.
METHODS: We used a theoretical decision analysis model to assess the pre-test probability above which it would be appropriate to use portable studies to rule in disease in symptomatic patients with suspected OSA. For the base case, we considered a symptomatically sleepy patient referred with a probability of OSA of P. We determined the lower threshold of P appropriate for a clinical algorithm based upon an initial ambulatory study compared to initial diagnosis with PSG by comparing costs using the PSG algorithm with a diagnostic algorithm involving initial assessment with a portable study.
RESULTS: In our base case, the pre-test probability above which portable testing would be less costly than initial diagnostic PSG would be 0.47. When an initial split night study was compared to portable testing, the pre-test probability above which portable testing was more economically attractive was greater (0.68). Values of P, however, varied considerably depending on values of many variables, including costs of diagnostic testing and CPAP compliance.
CONCLUSIONS: Using a decision model, we have developed a theoretical framework to ascertain the pre-test disease probability above which portable studies would be economically attractive as an initial test in the assessment of patients with suspected OSA. Copyright 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20133189     DOI: 10.1016/j.sleep.2009.08.015

Source DB:  PubMed          Journal:  Sleep Med        ISSN: 1389-9457            Impact factor:   3.492


  16 in total

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

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Journal:  J Clin Sleep Med       Date:  2014-08-15       Impact factor: 4.062

3.  Cost minimization using an artificial neural network sleep apnea prediction tool for sleep studies.

Authors:  Rahel A Teferra; Brydon J B Grant; Jesse W Mindel; Tauseef A Siddiqi; Imran H Iftikhar; Fatima Ajaz; Jose P Aliling; Meena S Khan; Stephen P Hoffmann; Ulysses J Magalang
Journal:  Ann Am Thorac Soc       Date:  2014-09

4.  Validation of the Sonomat: a contactless monitoring system used for the diagnosis of sleep disordered breathing.

Authors:  Mark B Norman; Sally Middleton; Odette Erskine; Peter G Middleton; John R Wheatley; Colin E Sullivan
Journal:  Sleep       Date:  2014-09-01       Impact factor: 5.849

5.  Accuracy of Automatic Polysomnography Scoring Using Frontal Electrodes.

Authors:  Magdy Younes; Mark Younes; Eleni Giannouli
Journal:  J Clin Sleep Med       Date:  2016-05-15       Impact factor: 4.062

6.  Validation of the MediByte® type 3 portable monitor compared with polysomnography for screening of obstructive sleep apnea.

Authors:  Helen S Driver; Effie J Pereira; Kathryn Bjerring; Fern Toop; Steven C Stewart; Peter W Munt; Michael F Fitzpatrick
Journal:  Can Respir J       Date:  2011 May-Jun       Impact factor: 2.409

7.  Comparison of polysomnographic and portable home monitoring assessments of obstructive sleep apnea in Saskatchewan women.

Authors:  J A Gjevre; R M Taylor-Gjevre; R Skomro; J Reid; M Fenton; D Cotton
Journal:  Can Respir J       Date:  2011 Sep-Oct       Impact factor: 2.409

8.  An integrated health-economic analysis of diagnostic and therapeutic strategies in the treatment of moderate-to-severe obstructive sleep apnea.

Authors:  Jan B Pietzsch; Abigail Garner; Lauren E Cipriano; John H Linehan
Journal:  Sleep       Date:  2011-06-01       Impact factor: 5.849

9.  High risk for sleep apnea in the Berlin questionnaire and coronary artery disease.

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Review 10.  Portable diagnostic devices for identifying obstructive sleep apnea among commercial motor vehicle drivers: considerations and unanswered questions.

Authors:  Chunbai Zhang; Mark Berger; Atul Malhotra; Stefanos N Kales
Journal:  Sleep       Date:  2012-11-01       Impact factor: 5.849

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