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Home diagnosis of obstructive sleep apnoea in coronary patients: validity of a simplified device automated analysis
Abstract
Introduction Our aim was to evaluate a type 3 portable simplified device as a screening tool for obstructive sleep apnoea (OSA) in coronary patients. Materials and methods In 50 patients selected independently from sleep complaints, we compared the number of respiratory events per hour of valid recording time counted automatically by the device and the number counted manually per hour of sleep on polysomnography performed at home during the same night. Results Five patients were excluded because of technical failures. Estimated OSA prevalences (95% confidence interval) for apnoea/hypopnoea index (AHI) cut-offs > or = 5, > or = 15, and > or = 30 by polysomnography were 0.93 (0.81-0.98), 0.69 (0.53-0.81), and 0.27 (0.15-0.42), respectively. The device would have correctly diagnosed 75% of patients with severe OSA (AHI > or = 30 by polysomnography) and would have classified the remaining 25% as having moderate OSA. Discussion This ambulatory device may prove valuable in reducing the costs of diagnosing and managing OSA in coronary patients.
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In the citing paper
“Seven studies evaluated the performance of Type 3 HSAT devices against PSG, but the AHI cutoffs employed varied across studies, resulting in sub-grouping by AHI cutoffs for our analyses.”
From Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline (2017) · cites this paper as [92]
In the citing paper
“Using a cutoff of AHI ≥ 15, the accuracy of these devices in a high-risk population ranged from 65% to 91%, based on six studies”
From Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline (2017) · cites this paper as [92]
In the citing paper
“When using an AHI ≥ 5 cutoff, accuracy in a high-risk population (assuming a prevalence of 87%) ranged from 84% to 91%, whereas in a low-risk population (assuming a prevalence of 55%) accuracy ranged from 70% to 78% based on the seven studies”
From Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline (2017) · cites this paper as [92]
Citations
Cites
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Sleep-disordered Breathing and Coronary Artery Disease
MOOE, T., FRANKLIN, K. A., HOLMSTRÖM, K., RABBEN, T., & WIKLUND, U. (2001) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.164.10.2101072 · Cited by 401
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Cited by
Kapur, V. K., Auckley, D. H., Chowdhuri, S., Kuhlmann, D. C., Mehra, R., Ramar, K., & Harrod, C. G. (2017) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.6506 · Cited by 3,253
Metadata
- Authors
- Planès, C., Leroy, M., Bouach Khalil, N., El Mahmoud, R., Digne, F., de Roquefeuil, F., & Raffestin, B.
- Affiliations
- Assistance Publique – Hôpitaux de Paris (FR)
- Corresponding author
- Raffestin, Bernadette
- Venue
- Sleep and Breathing
- Published
- 2009-06-17
- Volume
- 14
- Issue
- 1
- Pages
- 25-32
- ISSN
- 1520-9512 (ISSN-L)
- 1522-1709
- OpenAlex
- W2150302806
- Cited by
- 12
- References
- 2
- Citations by year
- 2024: 1 · 2022: 3 · 2021: 1 · 2019: 1 · 2018: 1 · 2017: 1 · 2014: 1 · 2012: 1
- FWCI
- 0.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Sleep And Breathing (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Société Française de Cardiologie
- Topics
- Health Sciences › Medicine › Physiology (medical) › Obstructive Sleep Apnea Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Neuroscience of respiration and sleep
- Keywords
- obstructive sleep apnea, coronary patients, apnea-hypopnea index, polysomnography validation, diagnostic accuracy, OSA prevalence, cost reduction
- MeSH terms
- Adult, Aged, Aged, 80 and over, Anthropometry, Coronary Disease, Diagnosis, Differential, Electrophysiology, Female, Home Care Services, Humans, Male, Middle Aged, Surveys and Questionnaires, Snoring, Body Mass Index, Polysomnography, Sleep Apnea, Obstructive
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