Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/139783
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Type: Journal article
Title: Multi-night measurement for diagnosis and simplified monitoring of obstructive sleep apnoea
Author: Lechat, B.
Scott, H.
Manners, J.
Adams, R.
Proctor, S.
Mukherjee, S.
Catcheside, P.
Eckert, D.J.
Vakulin, A.
Reynolds, A.C.
Citation: Sleep Medicine Reviews, 2023; 72:1-9
Publisher: Elsevier BV
Issue Date: 2023
ISSN: 1087-0792
1532-2955
Statement of
Responsibility: 
Bastien Lechat, Hannah Scott, Jack Manners, Robert Adams, Simon Proctor, Sutapa Mukherjee, Peter Catcheside, Danny J. Eckert, Andrew Vakulin, Amy C. Reynolds
Abstract: Substantial night-to-night variability in obstructive sleep apnoea (OSA) severity has raised misdiagnosis and misdirected treatment concerns with the current prevailing single-night diagnostic approach. In-home, multinight sleep monitoring technology may provide a feasible complimentary diagnostic pathway to improve both the speed and accuracy of OSA diagnosis and monitor treatment efficacy. This review describes the latest evidence on night-to-night variability in OSA severity, and its impact on OSA diagnostic misclassification. Emerging evidence for the potential impact of night-to-night variability in OSA severity to influence important health risk outcomes associated with OSA is considered. This review also characterises emerging diagnostic applications of wearable and non-wearable technologies that may provide an alternative, or complimentary, approach to traditional OSA diagnostic pathways. The required evidence to translate these devices into clinical care is also discussed. Appropriately sized randomised controlled trials are needed to determine the most appropriate and effective technologies for OSA diagnosis, as well as the optimal number of nights needed for accurate diagnosis and management. Potential risks versus benefits, patient perspectives, and cost-effectiveness of these novel approaches should be carefully considered in future trials.
Keywords: OSA; Polysomnography; Wearable device; Consumer sleep tracker
Rights: © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
DOI: 10.1016/j.smrv.2023.101843
Grant ID: http://purl.org/au-research/grants/nhmrc/1116942
http://purl.org/au-research/grants/nhmrc/1159499
Published version: http://dx.doi.org/10.1016/j.smrv.2023.101843
Appears in Collections:Medicine publications

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