Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Journal article
Title: A simplified model of screening questionnaire and home monitoring for obstructive sleep apnoea in primary care
Author: Chai-Coetzer, C.
Antic, N.
Rowland, L.
Catcheside, P.
Esterman, A.
Reed, R.
Williams, H.
Dunn, S.
McEvoy, R.
Citation: Thorax, 2011; 66(3):213-219
Publisher: British Med Journal Publ Group
Issue Date: 2011
ISSN: 0040-6376
Statement of
Ching Li Chai-Coetzer, Nick A Antic, L Sharn Rowland, Peter G Catcheside, Adrian Esterman, Richard L Reed, Helena Williams, Sandra Dunn, R Doug McEvoy
Abstract: Background: To 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. Methods: 157 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. Results: Snoring, 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<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<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. Conclusion: A 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.
Keywords: Humans; Sleep Apnea, Obstructive; Snoring; Mass Screening; Anthropometry; Epidemiologic Methods; Age Factors; Decision Support Techniques; Adult; Aged; Middle Aged; Home Care Services; Primary Health Care; South Australia; Female; Male; Waist Circumference
Rights: Copyright © 2011 BMJ Publishing Group Ltd & British Thoracic Society. All rights reserved.
RMID: 0020103198
DOI: 10.1136/thx.2010.152801
Appears in Collections:Physiology publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.