A simplified model of screening questionnaire and home monitoring for obstructive sleep apnoea in primary care

BackgroundTo address the growing burden of disease and long waiting lists for sleep services, a simplified two-stage model was developed and validated for identifying obstructive sleep apnoea (OSA) in primary care using a screening questionnaire followed by home sleep monitoring.Methods157 patients...

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Veröffentlicht in:Thorax 2011-03, Vol.66 (3), p.213-219
Hauptverfasser: Chai-Coetzer, Ching Li, Antic, Nick A, Rowland, L Sharn, Catcheside, Peter G, Esterman, Adrian, Reed, Richard L, Williams, Helena, Dunn, Sandra, McEvoy, R Doug
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container_end_page 219
container_issue 3
container_start_page 213
container_title Thorax
container_volume 66
creator Chai-Coetzer, Ching Li
Antic, Nick A
Rowland, L Sharn
Catcheside, Peter G
Esterman, Adrian
Reed, Richard L
Williams, Helena
Dunn, Sandra
McEvoy, R Doug
description BackgroundTo address the growing burden of disease and long waiting lists for sleep services, a simplified two-stage model was developed and validated for identifying obstructive sleep apnoea (OSA) in primary care using a screening questionnaire followed by home sleep monitoring.Methods157 patients aged 25–70 years attending their primary care physician for any reason at six primary care clinics in rural and metropolitan regions of South Australia participated. The first 79 patients formed the development group and the next 78 patients the validation group. A screening questionnaire was developed from factors identified from sleep surveys, demographic and anthropometric data to be predictive of moderate to severe OSA. Receiver operating characteristic (ROC) curve analysis was used to validate the two-channel ApneaLink device against full polysomnography. The diagnostic accuracy of the overall two-stage model was then evaluated.ResultsSnoring, waist circumference, witnessed apnoeas and age were predictive of OSA and incorporated into a screening questionnaire (ROC area under curve (AUC) 0.84, 95% CI 0.75 to 0.94, p
doi_str_mv 10.1136/thx.2010.152801
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The first 79 patients formed the development group and the next 78 patients the validation group. A screening questionnaire was developed from factors identified from sleep surveys, demographic and anthropometric data to be predictive of moderate to severe OSA. Receiver operating characteristic (ROC) curve analysis was used to validate the two-channel ApneaLink device against full polysomnography. The diagnostic accuracy of the overall two-stage model was then evaluated.ResultsSnoring, waist circumference, witnessed apnoeas and age were predictive of OSA and incorporated into a screening questionnaire (ROC area under curve (AUC) 0.84, 95% CI 0.75 to 0.94, p&lt;0.001). ApneaLink oximetry with a 3% dip rate was highly predictive of OSA (AUC 0.96, 95% CI 0.91 to 1.0, p&lt;0.001). The two-stage diagnostic model showed a sensitivity of 0.97 (95% CI 0.81 to 1.00) and specificity of 0.87 (95% CI 0.74 to 0.95) in the development group, and a sensitivity of 0.88 (95% CI 0.60 to 0.98) and specificity of 0.82 (95% CI 0.70 to 0.90) in the validation group.ConclusionA two-stage model of screening questionnaire followed by home oximetry can accurately identify patients with OSA in primary care and has the potential to expedite care for patients with this common sleep disorder.</description><identifier>ISSN: 0040-6376</identifier><identifier>EISSN: 1468-3296</identifier><identifier>DOI: 10.1136/thx.2010.152801</identifier><identifier>PMID: 21252389</identifier><identifier>CODEN: THORA7</identifier><language>eng</language><publisher>London: BMJ Publishing Group Ltd and British Thoracic Society</publisher><subject>Accuracy ; Adult ; Age Factors ; Aged ; Anthropometry - methods ; Biological and medical sciences ; Cardiology. Vascular system ; Decision Support Techniques ; diagnosis ; Epidemiologic Methods ; Estimates ; Female ; Health care access ; Home Care Services ; Humans ; Hypertension ; Laboratories ; Male ; Mass Screening - methods ; Medical sciences ; Middle Aged ; Obesity ; Obstructive sleep apnoea ; oximetry ; Physicians ; Pneumology ; Population ; Primary care ; Primary Health Care - methods ; primary healthcare ; Questionnaires ; Respiratory system : syndromes and miscellaneous diseases ; Sleep ; Sleep Apnea, Obstructive - complications ; Sleep Apnea, Obstructive - diagnosis ; sleep apnoea ; Snoring - etiology ; South Australia ; Studies ; Waist Circumference</subject><ispartof>Thorax, 2011-03, Vol.66 (3), p.213-219</ispartof><rights>2011, Published by the BMJ Publishing Group Limited. 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The first 79 patients formed the development group and the next 78 patients the validation group. A screening questionnaire was developed from factors identified from sleep surveys, demographic and anthropometric data to be predictive of moderate to severe OSA. Receiver operating characteristic (ROC) curve analysis was used to validate the two-channel ApneaLink device against full polysomnography. The diagnostic accuracy of the overall two-stage model was then evaluated.ResultsSnoring, waist circumference, witnessed apnoeas and age were predictive of OSA and incorporated into a screening questionnaire (ROC area under curve (AUC) 0.84, 95% CI 0.75 to 0.94, p&lt;0.001). ApneaLink oximetry with a 3% dip rate was highly predictive of OSA (AUC 0.96, 95% CI 0.91 to 1.0, p&lt;0.001). The two-stage diagnostic model showed a sensitivity of 0.97 (95% CI 0.81 to 1.00) and specificity of 0.87 (95% CI 0.74 to 0.95) in the development group, and a sensitivity of 0.88 (95% CI 0.60 to 0.98) and specificity of 0.82 (95% CI 0.70 to 0.90) in the validation group.ConclusionA two-stage model of screening questionnaire followed by home oximetry can accurately identify patients with OSA in primary care and has the potential to expedite care for patients with this common sleep disorder.</description><subject>Accuracy</subject><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Anthropometry - methods</subject><subject>Biological and medical sciences</subject><subject>Cardiology. 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Vascular system</topic><topic>Decision Support Techniques</topic><topic>diagnosis</topic><topic>Epidemiologic Methods</topic><topic>Estimates</topic><topic>Female</topic><topic>Health care access</topic><topic>Home Care Services</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Laboratories</topic><topic>Male</topic><topic>Mass Screening - methods</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Obesity</topic><topic>Obstructive sleep apnoea</topic><topic>oximetry</topic><topic>Physicians</topic><topic>Pneumology</topic><topic>Population</topic><topic>Primary care</topic><topic>Primary Health Care - methods</topic><topic>primary healthcare</topic><topic>Questionnaires</topic><topic>Respiratory system : syndromes and miscellaneous diseases</topic><topic>Sleep</topic><topic>Sleep Apnea, Obstructive - complications</topic><topic>Sleep Apnea, Obstructive - diagnosis</topic><topic>sleep apnoea</topic><topic>Snoring - etiology</topic><topic>South Australia</topic><topic>Studies</topic><topic>Waist Circumference</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chai-Coetzer, Ching Li</creatorcontrib><creatorcontrib>Antic, Nick A</creatorcontrib><creatorcontrib>Rowland, L Sharn</creatorcontrib><creatorcontrib>Catcheside, Peter G</creatorcontrib><creatorcontrib>Esterman, Adrian</creatorcontrib><creatorcontrib>Reed, Richard L</creatorcontrib><creatorcontrib>Williams, Helena</creatorcontrib><creatorcontrib>Dunn, Sandra</creatorcontrib><creatorcontrib>McEvoy, R Doug</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Thorax</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chai-Coetzer, Ching Li</au><au>Antic, Nick A</au><au>Rowland, L Sharn</au><au>Catcheside, Peter G</au><au>Esterman, Adrian</au><au>Reed, Richard L</au><au>Williams, Helena</au><au>Dunn, Sandra</au><au>McEvoy, R Doug</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A simplified model of screening questionnaire and home monitoring for obstructive sleep apnoea in primary care</atitle><jtitle>Thorax</jtitle><addtitle>Thorax</addtitle><date>2011-03-01</date><risdate>2011</risdate><volume>66</volume><issue>3</issue><spage>213</spage><epage>219</epage><pages>213-219</pages><issn>0040-6376</issn><eissn>1468-3296</eissn><coden>THORA7</coden><abstract>BackgroundTo address the growing burden of disease and long waiting lists for sleep services, a simplified two-stage model was developed and validated for identifying obstructive sleep apnoea (OSA) in primary care using a screening questionnaire followed by home sleep monitoring.Methods157 patients aged 25–70 years attending their primary care physician for any reason at six primary care clinics in rural and metropolitan regions of South Australia participated. The first 79 patients formed the development group and the next 78 patients the validation group. A screening questionnaire was developed from factors identified from sleep surveys, demographic and anthropometric data to be predictive of moderate to severe OSA. Receiver operating characteristic (ROC) curve analysis was used to validate the two-channel ApneaLink device against full polysomnography. The diagnostic accuracy of the overall two-stage model was then evaluated.ResultsSnoring, waist circumference, witnessed apnoeas and age were predictive of OSA and incorporated into a screening questionnaire (ROC area under curve (AUC) 0.84, 95% CI 0.75 to 0.94, p&lt;0.001). ApneaLink oximetry with a 3% dip rate was highly predictive of OSA (AUC 0.96, 95% CI 0.91 to 1.0, p&lt;0.001). The two-stage diagnostic model showed a sensitivity of 0.97 (95% CI 0.81 to 1.00) and specificity of 0.87 (95% CI 0.74 to 0.95) in the development group, and a sensitivity of 0.88 (95% CI 0.60 to 0.98) and specificity of 0.82 (95% CI 0.70 to 0.90) in the validation group.ConclusionA two-stage model of screening questionnaire followed by home oximetry can accurately identify patients with OSA in primary care and has the potential to expedite care for patients with this common sleep disorder.</abstract><cop>London</cop><pub>BMJ Publishing Group Ltd and British Thoracic Society</pub><pmid>21252389</pmid><doi>10.1136/thx.2010.152801</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
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source MEDLINE; BMJ Journals - NESLi2; Alma/SFX Local Collection
subjects Accuracy
Adult
Age Factors
Aged
Anthropometry - methods
Biological and medical sciences
Cardiology. Vascular system
Decision Support Techniques
diagnosis
Epidemiologic Methods
Estimates
Female
Health care access
Home Care Services
Humans
Hypertension
Laboratories
Male
Mass Screening - methods
Medical sciences
Middle Aged
Obesity
Obstructive sleep apnoea
oximetry
Physicians
Pneumology
Population
Primary care
Primary Health Care - methods
primary healthcare
Questionnaires
Respiratory system : syndromes and miscellaneous diseases
Sleep
Sleep Apnea, Obstructive - complications
Sleep Apnea, Obstructive - diagnosis
sleep apnoea
Snoring - etiology
South Australia
Studies
Waist Circumference
title A simplified model of screening questionnaire and home monitoring for obstructive sleep apnoea in primary care
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