Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/17699
Title: Diagnostic accuracy of a two-stage model for detecting obstructive sleep apnoea in chronic tetraplegia.
Authors: Graco, Marnie;Schembri, Rachel;Cross, Susan;Thiyagarajan, Chinnaya;Shafazand, Shirin;Ayas, Najib T;Nash, Mark S;Vu, Viet H;Ruehland, Warren R;Chai-Coetzer, Ching Li;Rochford, Peter;Churchward, Thomas J;Green, Sally E;Berlowitz, David J
Affiliation: Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia
Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
National Spinal Injuries Centre, Stoke-Mandeville Hospital, Aylesbury, UK
Miller School of Medicine, The University of Miami, Miami, Florida, USA
Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
Spinal Cord Injury Department, GF Strong Rehabilitation Centre, Vancouver, British Columbia, Canada
Adelaide Institute for Sleep Health: A Flinders Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
Sleep Health Service, Southern Adelaide Local Health Network, Adelaide, South Australia, Australia..School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
Department of Physiotherapy, The University of Melbourne, Melbourne, Victoria, Australia
Issue Date: 7-May-2018
EDate: 2018-05-07
Citation: Thorax 2018; online first: 7 May
Abstract: Obstructive sleep apnoea (OSA) is highly prevalent in people with spinal cord injury (SCI). Polysomnography (PSG) is the gold-standard diagnostic test for OSA, however PSG is expensive and frequently inaccessible, especially in SCI. A two-stage model, incorporating a questionnaire followed by oximetry, has been found to accurately detect moderate to severe OSA (MS-OSA) in a non-disabled primary care population. This study investigated the accuracy of the two-stage model in chronic tetraplegia using both the original model and a modified version for tetraplegia. An existing data set of 78 people with tetraplegia was used to modify the original two-stage model. Multivariable analysis identified significant risk factors for inclusion in a new tetraplegia-specific questionnaire. Receiver operating characteristic (ROC) curve analyses of the questionnaires and oximetry established thresholds for diagnosing MS-OSA. The accuracy of both models in diagnosing MS-OSA was prospectively evaluated in 100 participants with chronic tetraplegia across four international SCI units. Injury completeness, sleepiness, self-reported snoring and apnoeas were included in the modified questionnaire, which was highly predictive of MS-OSA (ROC area under the curve 0.87 (95% CI 0.79 to 0.95)). The 3% oxygen desaturation index was also highly predictive (0.93 (0.87-0.98)). The two-stage model with modified questionnaire had a sensitivity and specificity of 83% (66-93) and 88% (75-94) in the development group, and 77% (65-87) and 81% (68-90) in the validation group. Similar results were demonstrated with the original model. Implementation of this simple alternative to full PSG could substantially increase the detection of OSA in patients with tetraplegia and improve access to treatments. Results, ACTRN12615000896572 (The Australian and New Zealand Clinical Trials Registry) and pre-results, NCT02176928 (clinicaltrials.gov).
URI: http://ahro.austin.org.au/austinjspui/handle/1/17699
DOI: 10.1136/thoraxjnl-2017-211131
ORCID: 0000-0001-6048-0147
0000-0003-1471-9318
0000-0003-2543-8722
PubMed URL: 29735608
Type: Journal Article
Subjects: clinical epidemiology
respiratory measurement
sleep apnoea
Appears in Collections:Journal articles

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