Diagnostic accuracy of a two-stage model for detecting obstructive sleep apnoea in chronic tetraplegia. Issue 9 (7th May 2018)
- Record Type:
- Journal Article
- Title:
- Diagnostic accuracy of a two-stage model for detecting obstructive sleep apnoea in chronic tetraplegia. Issue 9 (7th May 2018)
- Main 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
Green, Sally E
Berlowitz, David J - Abstract:
- Abstract : Background: 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. Methods: 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. Results: 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%Abstract : Background: 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. Methods: 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. Results: 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. Conclusion: Implementation of this simple alternative to full PSG could substantially increase the detection of OSA in patients with tetraplegia and improve access to treatments. Trial registration number: Results, ACTRN12615000896572 (The Australian and New Zealand Clinical Trials Registry) and pre-results, NCT02176928 (clinicaltrials.gov). … (more)
- Is Part Of:
- Thorax. Volume 73:Issue 9(2018)
- Journal:
- Thorax
- Issue:
- Volume 73:Issue 9(2018)
- Issue Display:
- Volume 73, Issue 9 (2018)
- Year:
- 2018
- Volume:
- 73
- Issue:
- 9
- Issue Sort Value:
- 2018-0073-0009-0000
- Page Start:
- 864
- Page End:
- 871
- Publication Date:
- 2018-05-07
- Subjects:
- sleep apnoea -- clinical epidemiology -- respiratory measurement
Chest -- Diseases -- Periodicals
Thorax
Chest -- Diseases
Periodicals
Periodicals
617.54 - Journal URLs:
- http://thorax.bmjjournals.com/contents-by-date.0.shtml ↗
http://www.bmj.com/archive ↗ - DOI:
- 10.1136/thoraxjnl-2017-211131 ↗
- Languages:
- English
- ISSNs:
- 0040-6376
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 18233.xml