Literature DB >> 20143278

A systematic review of screening questionnaires for obstructive sleep apnea.

Amir Abrishami1, Ali Khajehdehi, Frances Chung.   

Abstract

PURPOSE: Obstructive sleep apnea (OSA) may lead to life-threatening problems if it is left undiagnosed. Polysomnography is the "gold standard" for OSA diagnosis; however, it is expensive and not widely available. The objective of this systematic review is to identify and evaluate the available questionnaires for screening OSA. SOURCE: We carried out a literature search through MEDLINE, EMBASE, and CINAHL to identify eligible studies. The methodological validity of each study was assessed using the Cochrane Methods Group's guideline. PRINCIPAL
FINDINGS: Ten studies (n = 1,484 patients) met the inclusion criteria. The Berlin questionnaire was the most common questionnaire (four studies) followed by the Wisconsin sleep questionnaire (two studies). Four studies were conducted exclusively on "sleep-disorder patients", and six studies were conducted on "patients without history of sleep disorders". For the first group, pooled sensitivity was 72.0% (95% confidence interval [CI]: 66.0-78.0%; I(2) = 23.0%) and pooled specificity was 61.0% (95% CI: 55.0-67.0%; I(2) = 43.8%). For the second group, pooled sensitivity was 77.0% (95% CI: 73.0-80.0%; I(2) = 78.1%) and pooled specificity was 53.0% (95% CI: 50-57%; I(2) = 88.8%). The risk of verification bias could not be eliminated in eight studies due to insufficient reporting. Studies on snoring, tiredness, observed apnea, and high blood pressure (STOP) and STOP including body mass index, age, neck circumference, gender (Bang) questionnaires had the highest methodological quality.
CONCLUSION: The existing evidence regarding the accuracy of OSA questionnaires is associated with promising but inconsistent results. This inconsistency could be due to studies with heterogeneous design (population, questionnaire type, validity). STOP and STOP-Bang questionnaires for screening of OSA in the surgical population are suggested due to their higher methodological quality and easy-to-use features.

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Mesh:

Year:  2010        PMID: 20143278     DOI: 10.1007/s12630-010-9280-x

Source DB:  PubMed          Journal:  Can J Anaesth        ISSN: 0832-610X            Impact factor:   5.063


  162 in total

1.  Comparison of Commonly Used Questionnaires to Identify Obstructive Sleep Apnea in a High-Risk Population.

Authors:  Kirk Kee; John Dixon; Jonathan Shaw; Elena Vulikh; Markus Schlaich; David M Kaye; Paul Zimmet; Matthew T Naughton
Journal:  J Clin Sleep Med       Date:  2018-12-15       Impact factor: 4.062

2.  Fatigue and sleep disorders in multiple sclerosis: is obstructive sleep apnea a link?

Authors:  Friedemann Paul; Christian Veauthier
Journal:  Sleep Breath       Date:  2012-01-18       Impact factor: 2.816

3.  Obstructive Sleep Apnea Syndrome in Company Workers: Development of a Two-Step Screening Strategy with a New Questionnaire.

Authors:  Michiel M Eijsvogel; Sytske Wiegersma; Winfried Randerath; Johan Verbraecken; Esther Wegter-Hilbers; Job van der Palen
Journal:  J Clin Sleep Med       Date:  2016-04-15       Impact factor: 4.062

4.  Safety of Continuous Postoperative Pulse Oximetry Monitoring Without Obstructive Sleep Apnea Screening in > 5000 Patients Undergoing Bariatric Surgery.

Authors:  Sophie L van Veldhuisen; Ibrahim Arslan; Laura N Deden; Edo O Aarts; Eric J Hazebroek
Journal:  Obes Surg       Date:  2020-03       Impact factor: 4.129

5.  Accuracy of the clinical parameters and oximetry to initiate CPAP in patients with suspected obstructive sleep apnea.

Authors:  Carlos Alberto Nigro; Eduardo Dibur; Edgardo Rhodius
Journal:  Sleep Breath       Date:  2011-10-14       Impact factor: 2.816

6.  Sleepiness, fatigue, and risk of obstructive sleep apnea using the STOP-BANG questionnaire in multiple sclerosis: a pilot study.

Authors:  Robert A Dias; Kimberly A Hardin; Heather Rose; Mark A Agius; Michelle L Apperson; Steven D Brass
Journal:  Sleep Breath       Date:  2012-01-21       Impact factor: 2.816

7.  Identification of patients with sleep disordered breathing: comparing the four-variable screening tool, STOP, STOP-Bang, and Epworth Sleepiness Scales.

Authors:  Graciela E Silva; Kimberly D Vana; James L Goodwin; Duane L Sherrill; Stuart F Quan
Journal:  J Clin Sleep Med       Date:  2011-10-15       Impact factor: 4.062

Review 8.  Diagnostic approaches to respiratory sleep disorders.

Authors:  Renata L Riha
Journal:  J Thorac Dis       Date:  2015-08       Impact factor: 2.895

9.  The influence of gender on symptoms associated with obstructive sleep apnea.

Authors:  Carlos Alberto Nigro; Eduardo Dibur; Eduardo Borsini; Silvana Malnis; Glenda Ernst; Ignacio Bledel; Sergio González; Anabella Arce; Facundo Nogueira
Journal:  Sleep Breath       Date:  2018-02-01       Impact factor: 2.816

10.  Validation of the STOP-BANG Questionnaire among Patients Referred for Suspected Obstructive Sleep Apnea.

Authors:  Grace Boynton; Arshia Vahabzadeh; Sami Hammoud; Deborah L Ruzicka; Ronald D Chervin
Journal:  J Sleep Disord Treat Care       Date:  2013-09-23
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