Literature DB >> 23161476

High prevalence of undiagnosed obstructive sleep apnoea in the general population and methods for screening for representative controls.

Laila Simpson1, David R Hillman, Matthew N Cooper, Kim L Ward, Michael Hunter, Stewart Cullen, Alan James, Lyle J Palmer, Sutapa Mukherjee, Peter Eastwood.   

Abstract

PURPOSE: Undiagnosed obstructive sleep apnoea (OSA) in the community makes comparisons of OSA subjects with control samples from the general population problematic. This study aims to estimate undiagnosed moderate to severe OSA in a general population sample and to determine the capacity of questions from the Berlin questionnaire (BQ) to identify subjects without diagnosed OSA of this severity.
METHODS: Using a general population sample (n = 793) with no history of OSA, case and control status for moderate-severe OSA was determined by home-based nasal flow and oximetry-derived apnoea-hypopnoea index using a cut-off value of ≥ 15 events/h to define cases. The diagnostic accuracy of the complete BQ and its component questions in identifying cases was assessed by calculating sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratios and post-test probabilities.
RESULTS: The age-standardised prevalence estimate of moderate-severe OSA was 9.1 % (12.4 % in men, 5.7 % in women). Sensitivity of the BQ in this population was 54 %, and specificity, 70 %. A combination of questions regarding snoring frequency and hypertension provided maximal post-test probability of OSA and greatest post-screen sample size.
CONCLUSIONS: Undiagnosed OSA is highly prevalent in the Western Australian general population. While the complete BQ is a sub-optimal screening instrument for the general population, snoring frequency or hypertension can be used to screen out moderate-severe OSA from general population samples with limited reduction in sample size. As there are few general population samples available for epidemiological or genetic studies of OSA and its associated phenotypes, these results may usefully inform future case-control studies.

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Year:  2012        PMID: 23161476     DOI: 10.1007/s11325-012-0785-0

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


  34 in total

1.  Lack of association of ACE gene I/D polymorphism with obstructive sleep apnea syndrome in Turkish patients.

Authors:  T Yakut; M Karkucak; A Ursavas; T Gulten; B Burgazlioglu; O Gorukmez; M Karadag
Journal:  Genet Mol Res       Date:  2010-04-20

2.  Prevalence of symptoms and risk of sleep apnea in the US population: Results from the national sleep foundation sleep in America 2005 poll.

Authors:  David M Hiestand; Pat Britz; Molly Goldman; Barbara Phillips
Journal:  Chest       Date:  2006-09       Impact factor: 9.410

3.  Estimation of the clinically diagnosed proportion of sleep apnea syndrome in middle-aged men and women.

Authors:  T Young; L Evans; L Finn; M Palta
Journal:  Sleep       Date:  1997-09       Impact factor: 5.849

4.  Leptin and leptin receptor gene polymorphisms in obstructive sleep apnea syndrome.

Authors:  Masayuki Hanaoka; Xiujun Yu; Kazuhisa Urushihata; Masao Ota; Keisaku Fujimoto; Keishi Kubo
Journal:  Chest       Date:  2007-11-07       Impact factor: 9.410

5.  Prevalence of symptoms and risk of sleep apnea in primary care.

Authors:  Nikolaus C Netzer; Josef J Hoegel; Daniel Loube; Cordula M Netzer; Birgit Hay; Rudolfo Alvarez-Sala; Kingman P Strohl
Journal:  Chest       Date:  2003-10       Impact factor: 9.410

6.  Sleep breathing disorders in the U.S. female population.

Authors:  Fotis Kapsimalis; Meir Kryger
Journal:  J Womens Health (Larchmt)       Date:  2009-08       Impact factor: 2.681

7.  The occurrence of sleep-disordered breathing among middle-aged adults.

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

8.  Serum angiotensin converting enzyme and the obstructive sleep apnea hypopnea syndrome.

Authors:  John Amit Benjamin; Maria Moller; Philip Ebden; Ionah Bartle; Keir E Lewis
Journal:  J Clin Sleep Med       Date:  2008-08-15       Impact factor: 4.062

9.  No relation between apolipoprotein E alleles and obstructive sleep apnea.

Authors:  S Saarelainen; T Lehtimäki; E Kallonen; K Laasonen; T Poussa; M M Nieminen
Journal:  Clin Genet       Date:  1998-02       Impact factor: 4.438

10.  The APOE epsilon4 allele increases the risk of impaired spatial working memory in obstructive sleep apnea.

Authors:  Filomena I I Cosentino; Paolo Bosco; Valeria Drago; Giuseppina Prestianni; Bartolo Lanuzza; Ivan Iero; Mariangela Tripodi; Rosario S Spada; Giuseppe Toscano; Filippo Caraci; Raffaele Ferri
Journal:  Sleep Med       Date:  2008-02-20       Impact factor: 3.492

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  48 in total

1.  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

2.  Depressive Symptoms before and after Treatment of Obstructive Sleep Apnea in Men and Women.

Authors:  Cass Edwards; Sutapa Mukherjee; Laila Simpson; Lyle J Palmer; Osvaldo P Almeida; David R Hillman
Journal:  J Clin Sleep Med       Date:  2015-09-15       Impact factor: 4.062

3.  Obstructive sleep apnea during REM sleep and daytime cerebral functioning: A regional cerebral blood flow study using high-resolution SPECT.

Authors:  Andrée-Ann Baril; Katia Gagnon; Pauline Brayet; Jacques Montplaisir; Julie Carrier; Jean-Paul Soucy; Chantal Lafond; Hélène Blais; Caroline d'Aragon; Jean-François Gagnon; Nadia Gosselin
Journal:  J Cereb Blood Flow Metab       Date:  2018-11-22       Impact factor: 6.200

4.  Risk of Common Mental Disorders in Relation to Symptoms of Obstructive Sleep Apnea Syndrome among Ethiopian College Students.

Authors:  Ornella Rutagarama; Bizu Gelaye; Mahlet G Tadesse; Seblewengel Lemma; Yemane Berhane; Michelle A Williams
Journal:  J Sleep Disord Treat Care       Date:  2015-10-20

5.  Sleep disordered breathing analysis in a general population using standard pulse oximeter signals.

Authors:  Deganit Barak-Shinar; Yariv Amos; Richard K Bogan
Journal:  Sleep Breath       Date:  2013-02-06       Impact factor: 2.816

6.  Cerebral hemodynamic changes in obstructive sleep apnea syndrome after continuous positive airway pressure treatment.

Authors:  Pedro Enrique Jiménez Caballero; Ramón Coloma Navarro; Oscar Ayo Martín; Tomás Segura Martín
Journal:  Sleep Breath       Date:  2013-02-06       Impact factor: 2.816

7.  Obstructive sleep apnea, obesity, and the development of acute respiratory distress syndrome.

Authors:  Lioudmila V Karnatovskaia; Augustine S Lee; S Patrick Bender; Daniel Talmor; Emir Festic
Journal:  J Clin Sleep Med       Date:  2014-06-15       Impact factor: 4.062

8.  Physical Inactivity Is Associated with Moderate-Severe Obstructive Sleep Apnea.

Authors:  Laila Simpson; Nigel McArdle; Peter R Eastwood; Kim L Ward; Matthew N Cooper; Annette C Wilson; David R Hillman; Lyle J Palmer; Sutapa Mukherjee
Journal:  J Clin Sleep Med       Date:  2015-10-15       Impact factor: 4.062

9.  Lower BMI is a predictor of obstructive sleep apnea in elderly Thai hypertensive patients.

Authors:  Kittisak Sawanyawisuth; Jarin Chindaprasirt; Vichai Senthong; Pattarapong Makarawate; Panita Limpawattana; Aornchuma Domthong; Songkwan Silaruks; Somchit Chumjan
Journal:  Sleep Breath       Date:  2013-02-27       Impact factor: 2.816

Review 10.  The genetics of obstructive sleep apnoea.

Authors:  Sutapa Mukherjee; Richa Saxena; Lyle J Palmer
Journal:  Respirology       Date:  2017-11-07       Impact factor: 6.424

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