Development and validation of a novel non-contact monitor of nocturnal respiration for identifying sleep-disordered breathing in patients with heart failure

Savage, HO; Khushaba, RN; Zaffaroni, A; Colefax, M; Farrugia, S; Schindhelm, K; Teschler, H; Weinreich, G; Grueger, H; Neddermann, M; Heneghan, C; Simonds, A; Cowie, MR

Development and validation of a novel non-contact monitor of nocturnal respiration for identifying sleep-disordered breathing in patients with heart failure

Savage, HO Khushaba, RN

Zaffaroni, A Colefax, M Farrugia, S Schindhelm, K Teschler, H Weinreich, G Grueger, H Neddermann, M Heneghan, C Simonds, A Cowie, MR

Permalink

Publication Type:: Journal Article
Citation:: ESC Heart Failure, 2016, 3 (3), pp. 212 - 219
Issue Date:: 2016-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Published VersionAdobe PDF (1.83 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Savage, HO	en_US
dc.contributor.author	Khushaba, RN https://orcid.org/0000-0001-8528-8979	en_US
dc.contributor.author	Zaffaroni, A	en_US
dc.contributor.author	Colefax, M	en_US
dc.contributor.author	Farrugia, S	en_US
dc.contributor.author	Schindhelm, K	en_US
dc.contributor.author	Teschler, H	en_US
dc.contributor.author	Weinreich, G	en_US
dc.contributor.author	Grueger, H	en_US
dc.contributor.author	Neddermann, M	en_US
dc.contributor.author	Heneghan, C	en_US
dc.contributor.author	Simonds, A	en_US
dc.contributor.author	Cowie, MR	en_US
dc.date.available	2016-01-24	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	ESC Heart Failure, 2016, 3 (3), pp. 212 - 219	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121342
dc.description.abstract	© 2016 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of the European Society of Cardiology. Aims: At least 50% of patients with heart failure (HF) may have sleep-disordered breathing (SDB). Overnight in-hospital polysomnography (PSG) is considered the gold standard for diagnosis, but a lack of access to such testing contributes to under-diagnosis of SDB. Therefore, there is a need for simple and reliable validated methods to aid diagnosis in patients with HF. The aim of this study was to investigate the accuracy of a non-contact type IV screening device, SleepMinderTM (SM), compared with in-hospital PSG for detecting SDB in patients with HF. Methods and results: The study included 75 adult patients with systolic HF and suspected SDB who underwent simultaneous PSG and SM recordings. An algorithm was developed from the SM signals, using digital signal processing and pattern recognition techniques to calculate the SM apnoea-hypopnoea index (AHI). This was then compared with expert-scored PSGAHI. The SM algorithm had 70% sensitivity and 89% specificity for identifying patients with clinically significant SDB (AHI ≥ 15/h). At this threshold, it had a positive likelihood ratio of 6.3 and a negative likelihood ratio of 0.16. The overall accuracy of the SMAHI algorithm was 85.8% as shown by the area under a receiver operator characteristic curve. The mean AHI with SM was 3.8/h (95% confidence interval 0.5–7.1) lower than that with PSG. Conclusions: The accuracy of the non-contact type IV screening device SM is good for clinically significant SDB in patients with systolic HF and could be considered as a simple first step in the diagnostic pathway.	en_US
dc.relation.ispartof	ESC Heart Failure	en_US
dc.relation.isbasedon	10.1002/ehf2.12086	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Development and validation of a novel non-contact monitor of nocturnal respiration for identifying sleep-disordered breathing in patients with heart failure	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
utslib.copyright.status	open_access	*
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	3	en_US

Abstract:

© 2016 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of the European Society of Cardiology. Aims: At least 50% of patients with heart failure (HF) may have sleep-disordered breathing (SDB). Overnight in-hospital polysomnography (PSG) is considered the gold standard for diagnosis, but a lack of access to such testing contributes to under-diagnosis of SDB. Therefore, there is a need for simple and reliable validated methods to aid diagnosis in patients with HF. The aim of this study was to investigate the accuracy of a non-contact type IV screening device, SleepMinderTM (SM), compared with in-hospital PSG for detecting SDB in patients with HF. Methods and results: The study included 75 adult patients with systolic HF and suspected SDB who underwent simultaneous PSG and SM recordings. An algorithm was developed from the SM signals, using digital signal processing and pattern recognition techniques to calculate the SM apnoea-hypopnoea index (AHI). This was then compared with expert-scored PSGAHI. The SM algorithm had 70% sensitivity and 89% specificity for identifying patients with clinically significant SDB (AHI ≥ 15/h). At this threshold, it had a positive likelihood ratio of 6.3 and a negative likelihood ratio of 0.16. The overall accuracy of the SMAHI algorithm was 85.8% as shown by the area under a receiver operator characteristic curve. The mean AHI with SM was 3.8/h (95% confidence interval 0.5–7.1) lower than that with PSG. Conclusions: The accuracy of the non-contact type IV screening device SM is good for clinically significant SDB in patients with systolic HF and could be considered as a simple first step in the diagnostic pathway.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/121342