Literature DB >> 23989984

Does this patient have obstructive sleep apnea?: The Rational Clinical Examination systematic review.

Kathryn A Myers1, Marko Mrkobrada, David L Simel.   

Abstract

IMPORTANCE: Obstructive sleep apnea is a common disease, responsible for daytime sleepiness. Prior to referring patients for definitive testing, the likelihood of obstructive sleep apnea should be established in the clinical examination.
OBJECTIVE: To systematically review the clinical examination accuracy in diagnosing obstructive sleep apnea. DATA SOURCES: MEDLINE and reference lists from articles were searched from 1966 to June 2013. Titles and abstracts (n = 4449) were reviewed for eligibility and appraised for evidence levels. STUDY SELECTION: For inclusion, studies must have used full, attended nocturnal polysomnography for the reference standard (n = 42). MAIN OUTCOMES AND MEASURES: Community and referral-based prevalence of obstructive sleep apnea; accuracy of symptoms and signs for the diagnosis of obstructive sleep apnea.
RESULTS: The prevalence of sleep apnea in community-screened patients is 2% to 14% (sample sizes 360-1741) and 21% to 90% (sample sizes 42-2677) for patients referred for sleep evaluation. The prevalence varies based on the apnea-hypopnea index (AHI) threshold used for the evaluation (≥5 events/h, prevalence 14%; ≥15/h, prevalence 6%) and whether the disease definition requires symptoms in addition to an abnormal AHI (≥5/h with symptoms, prevalence 2%-4%). Among patients referred for sleep evaluation, those with sleep apnea weighed more (summary body mass index, 31.4; 95% CI, 30.5-32.2) than those without sleep apnea (summary BMI, 28.3; 95% CI, 27.6-29.0; P < .001 for the comparison). The most useful observation for identifying patients with obstructive sleep apnea was nocturnal choking or gasping (summary likelihood ratio [LR], 3.3; 95% CI, 2.1-4.6) when the diagnosis was established by AHI ≥10/h). Snoring is common in sleep apnea patients but is not useful for establishing the diagnosis (summary LR, 1.1; 95% CI, 1.0-1.1). Patients with mild snoring and body mass index lower than 26 are unlikely to have moderate or severe obstructive sleep apnea (LR, 0.07; 95% CI, 0.03-0.19 at threshold of AHI ≥15/h). CONCLUSIONS AND RELEVANCE: Nocturnal gasping or choking is the most reliable indicator of obstructive sleep apnea, whereas snoring is not very specific. The clinical examination of patients with suspected obstructive sleep apnea is useful for selecting patients for more definitive testing.

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Mesh:

Year:  2013        PMID: 23989984     DOI: 10.1001/jama.2013.276185

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  63 in total

1.  Reviewer's comment concerning "Sleep apnea and cervical spine pathology" (10.1007/s00586-013-3046-4 by Adam Khan, Khoi D. Than, Kevin S. Chen, Anthony C. Wang, Frank La Marca, Paul Park).

Authors:  Ronald H M A Bartels
Journal:  Eur Spine J       Date:  2013-12-17       Impact factor: 3.134

2.  Elevated body position early after delivery increased airway size during wakefulness, and decreased apnea hypopnea index in a woman with pregnancy related sleep apnea.

Authors:  Stefanie Jung; Sebastian Zaremba; Anne Heisig; Matthias Eikermann
Journal:  J Clin Sleep Med       Date:  2014-07-15       Impact factor: 4.062

Review 3.  Where there is smoke…there is sleep apnea: exploring the relationship between smoking and sleep apnea.

Authors:  Vidya Krishnan; Sherrie Dixon-Williams; J Daryl Thornton
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4.  Using the STOPBANG questionnaire and other pre-test probability tools to predict OSA in younger, thinner patients referred to a sleep medicine clinic.

Authors:  Michael J McMahon; Karen L Sheikh; Teotimo F Andrada; Aaron B Holley
Journal:  Sleep Breath       Date:  2017-04-19       Impact factor: 2.816

5.  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

6.  Untreated Sleep Apnea: An Analysis of Administrative Data to Identify Risk Factors for Early Nonadherence.

Authors:  Aliza Gordon; Sze-Jung Wu; Nicole Munns; Andrea DeVries; Thomas Power
Journal:  J Clin Sleep Med       Date:  2018-08-15       Impact factor: 4.062

7.  Predicting sleep apnea from three-dimensional face photography.

Authors:  Peter Eastwood; Syed Zulqarnain Gilani; Nigel McArdle; David Hillman; Jennifer Walsh; Kathleen Maddison; Mithran Goonewardene; Ajmal Mian
Journal:  J Clin Sleep Med       Date:  2020-04-15       Impact factor: 4.062

8.  Patient-predicted sleep position vs. HST data: a tendency to underestimate supine sleep.

Authors:  Adam J Sorscher; Anthony P Anzivino; Todd Mackenzie
Journal:  Sleep Breath       Date:  2017-11-17       Impact factor: 2.816

9.  Exploring the mechanisms of the racial disparity in drowsy driving.

Authors:  Michael V Genuardi; Andrew D Althouse; Michael S Sharbaugh; Rachel P Ogilvie; Sanjay R Patel
Journal:  Sleep Health       Date:  2018-04-24

Review 10.  Obstructive sleep apnea, hypertension and cardiovascular diseases.

Authors:  C Gonzaga; A Bertolami; M Bertolami; C Amodeo; D Calhoun
Journal:  J Hum Hypertens       Date:  2015-03-12       Impact factor: 3.012

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