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Detection of sleep apnea by case-finding and home monitoring with Somnolter(®): a pilot study
BACKGROUND: Obstructive sleep apnea and hypopnea syndrome (OSAHS) is a disorder that causes clinical symptoms (e.g. snoring, excessive daytime sleepiness and impaired concentration) that may increase the risk of traffic accidents, cardiovascular disease, type 2 diabetes and reduce the quality of lif...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4174633/ https://www.ncbi.nlm.nih.gov/pubmed/25200902 http://dx.doi.org/10.1186/1756-0500-7-616 |
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author | Cattrysse, Fabienne Peeters, Mathias Calaerts, Sanne Ferson, Karen Degryse, Jean-Marie |
author_facet | Cattrysse, Fabienne Peeters, Mathias Calaerts, Sanne Ferson, Karen Degryse, Jean-Marie |
author_sort | Cattrysse, Fabienne |
collection | PubMed |
description | BACKGROUND: Obstructive sleep apnea and hypopnea syndrome (OSAHS) is a disorder that causes clinical symptoms (e.g. snoring, excessive daytime sleepiness and impaired concentration) that may increase the risk of traffic accidents, cardiovascular disease, type 2 diabetes and reduce the quality of life. A recently developed device (Somnolter(®)) detects apneas and hypopneas in a home setting, allowing to detect OSAHS in a more comfortable environment compared to the gold standard polysomnography. The aim of our study was to investigate whether the Somnolter(®) is useful in family practice to identify patients with OSAHS. METHODS: Questionnaires were offered to patients in five general practitioner (GP) practices. Based on the questionnaire and body mass index, patients with an increased risk of OSAHS were contacted to collaborate in the study. In this convenience sample, 18 patients were successfully tested with the Somnolter(®) measuring SaO(2), mandibular movements, body position, heart rate, nasal air flow and thoracic and abdominal breathing movements. The Somnolter(®) automatically analyses the data and different parameters to detect OSAHS. Afterwards, the data were manually revised by the researchers. RESULTS: Out of 365 subjects, 31 met the inclusion criteria and 18 were successfully tested at home. Sixteen out of 18 patients had an Apnea Hypopnea Index (AHI) ≥ 5, ten of them had mild OSAHS, 3 were categorized as moderate OSAHS and finally 3 matched the criteria of severe OSAHS. CONCLUSION: The proposed case-finding strategy still needs optimization, but is considered helpful in selecting patients at high risk of OSAHS. OSAHS was detected in 14 out of 18 patients tested with the Somnolter(®). In the future the Somnolter(®) might be a feasible alternative to diagnose OSAHS. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1756-0500-7-616) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4174633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41746332014-09-26 Detection of sleep apnea by case-finding and home monitoring with Somnolter(®): a pilot study Cattrysse, Fabienne Peeters, Mathias Calaerts, Sanne Ferson, Karen Degryse, Jean-Marie BMC Res Notes Research Article BACKGROUND: Obstructive sleep apnea and hypopnea syndrome (OSAHS) is a disorder that causes clinical symptoms (e.g. snoring, excessive daytime sleepiness and impaired concentration) that may increase the risk of traffic accidents, cardiovascular disease, type 2 diabetes and reduce the quality of life. A recently developed device (Somnolter(®)) detects apneas and hypopneas in a home setting, allowing to detect OSAHS in a more comfortable environment compared to the gold standard polysomnography. The aim of our study was to investigate whether the Somnolter(®) is useful in family practice to identify patients with OSAHS. METHODS: Questionnaires were offered to patients in five general practitioner (GP) practices. Based on the questionnaire and body mass index, patients with an increased risk of OSAHS were contacted to collaborate in the study. In this convenience sample, 18 patients were successfully tested with the Somnolter(®) measuring SaO(2), mandibular movements, body position, heart rate, nasal air flow and thoracic and abdominal breathing movements. The Somnolter(®) automatically analyses the data and different parameters to detect OSAHS. Afterwards, the data were manually revised by the researchers. RESULTS: Out of 365 subjects, 31 met the inclusion criteria and 18 were successfully tested at home. Sixteen out of 18 patients had an Apnea Hypopnea Index (AHI) ≥ 5, ten of them had mild OSAHS, 3 were categorized as moderate OSAHS and finally 3 matched the criteria of severe OSAHS. CONCLUSION: The proposed case-finding strategy still needs optimization, but is considered helpful in selecting patients at high risk of OSAHS. OSAHS was detected in 14 out of 18 patients tested with the Somnolter(®). In the future the Somnolter(®) might be a feasible alternative to diagnose OSAHS. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1756-0500-7-616) contains supplementary material, which is available to authorized users. BioMed Central 2014-09-08 /pmc/articles/PMC4174633/ /pubmed/25200902 http://dx.doi.org/10.1186/1756-0500-7-616 Text en © Cattrysse et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Cattrysse, Fabienne Peeters, Mathias Calaerts, Sanne Ferson, Karen Degryse, Jean-Marie Detection of sleep apnea by case-finding and home monitoring with Somnolter(®): a pilot study |
title | Detection of sleep apnea by case-finding and home monitoring with Somnolter(®): a pilot study |
title_full | Detection of sleep apnea by case-finding and home monitoring with Somnolter(®): a pilot study |
title_fullStr | Detection of sleep apnea by case-finding and home monitoring with Somnolter(®): a pilot study |
title_full_unstemmed | Detection of sleep apnea by case-finding and home monitoring with Somnolter(®): a pilot study |
title_short | Detection of sleep apnea by case-finding and home monitoring with Somnolter(®): a pilot study |
title_sort | detection of sleep apnea by case-finding and home monitoring with somnolter(®): a pilot study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4174633/ https://www.ncbi.nlm.nih.gov/pubmed/25200902 http://dx.doi.org/10.1186/1756-0500-7-616 |
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