Journal article

Diagnostic accuracy of a two-stage model for detecting obstructive sleep apnoea in chronic tetraplegia

Marnie Graco, Rachel Schembri, Susan Cross, Chinnaya Thiyagarajan, Shirin Shafazand, Najib T Ayas, Mark S Nash, Viet H Vu, Warren R Ruehland, Ching Li Chai-Coetzer, Peter Rochford, Thomas Churchward, Sally E Green, David J Berlowitz

THORAX | BMJ PUBLISHING GROUP | Published : 2018

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. Multivariab..

View full abstract

University of Melbourne Researchers

Grants

Awarded by Australian Government National Health and Medical Research Council postgraduate scholarship


Awarded by Department of Defense


Funding Acknowledgements

MG was supported by an Australian Government National Health and Medical Research Council postgraduate scholarship (grant number 1114181) and an Australasian Spinal Cord Injury Network PhD scholarship. Data collection at Stoke-Mandeville Hospital was supported by a Stoke-Mandeville Masson Research Award grant from the Buckinghamshire NHS Trust Charitable Trust Funds, UK. Data collection at the University of Miami was funded by the Department of Defense (Award No W81XWH-13-1-0479).