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Reliability of respiratory event detection with continuous positive airway pressure in moderate to severe obstructive sleep apnea — comparison of polysomnography with a device-based analysis
PURPOSE: Monitored polysomnography (PSG) is considered the gold standard technique to diagnose obstructive sleep apnea (OSA) and titrate continuous positive airway pressure (CPAP), the accepted primary treatment method. Currently, the American Academy of Sleep Medicine (AASM) considers automatic PAP...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669528/ https://www.ncbi.nlm.nih.gov/pubmed/36394692 http://dx.doi.org/10.1007/s11325-022-02740-w |
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author | Richter, Matthias Schroeder, Maik Domanski, Ulrike Schwaibold, Matthias Nilius, Georg |
author_facet | Richter, Matthias Schroeder, Maik Domanski, Ulrike Schwaibold, Matthias Nilius, Georg |
author_sort | Richter, Matthias |
collection | PubMed |
description | PURPOSE: Monitored polysomnography (PSG) is considered the gold standard technique to diagnose obstructive sleep apnea (OSA) and titrate continuous positive airway pressure (CPAP), the accepted primary treatment method. Currently, the American Academy of Sleep Medicine (AASM) considers automatic PAP therapy initiation at home comparable to laboratory titration and recommends telemonitoring-guided interventions. Advanced CPAP devices evaluate and report the residual apnea–hypopnea index (AHI). However, in order to control the effectiveness of the prescribed therapy outside of a PSG setting, the automatic event detection must provide reliable data. METHODS: A CPAP titration was performed in the sleep laboratory by PSG in patients with OSA. The residual event indices detected by the tested device (prismaLine, Loewenstein Medical Technology) were compared to the manually scored PSG indices. Results of the device (AHI(FLOW)) were compared according to the AASM scoring criteria 1A (AHI(1A), hypopneas with a flow signal reduction of ≥ 30% with ≥ 3% oxygen reduction and/or an arousal) and 1B (AHI(1B), hypopneas with a flow signal decrease by ≥ 30% with a ≥ 4% oxygen desaturation). RESULTS: In 50 patients with OSA, the mean PSG AHI(1A) was 10.5 ± 13.8/h and the PSG AHI(1B) was 7.4 ± 12.6/h compared to a mean device AHI(Flow) of 8.4 ± 10.0/h. The correlation coefficient regarding PSG AHI(1A) and AHI(Flow) was 0.968. The correlation regarding central hypopneas on the other hand was 0.153. There were few central events to be compared in this patient group. CONCLUSION: The device-based analysis showed a high correlation in the determination of residual obstructive AHI under therapy. The recorded residual respiratory event indices in combination with the data about leakage and adherence of the studied device provide reliable information for the implementation and follow-up of CPAP therapy in a typical group of patients with OSA. Trial Registration Number: ClinicalTrials.gov Identifier: NCT04407949, May 29, 2020, retrospectively registered. |
format | Online Article Text |
id | pubmed-9669528 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-96695282022-11-18 Reliability of respiratory event detection with continuous positive airway pressure in moderate to severe obstructive sleep apnea — comparison of polysomnography with a device-based analysis Richter, Matthias Schroeder, Maik Domanski, Ulrike Schwaibold, Matthias Nilius, Georg Sleep Breath Methods • Original Article PURPOSE: Monitored polysomnography (PSG) is considered the gold standard technique to diagnose obstructive sleep apnea (OSA) and titrate continuous positive airway pressure (CPAP), the accepted primary treatment method. Currently, the American Academy of Sleep Medicine (AASM) considers automatic PAP therapy initiation at home comparable to laboratory titration and recommends telemonitoring-guided interventions. Advanced CPAP devices evaluate and report the residual apnea–hypopnea index (AHI). However, in order to control the effectiveness of the prescribed therapy outside of a PSG setting, the automatic event detection must provide reliable data. METHODS: A CPAP titration was performed in the sleep laboratory by PSG in patients with OSA. The residual event indices detected by the tested device (prismaLine, Loewenstein Medical Technology) were compared to the manually scored PSG indices. Results of the device (AHI(FLOW)) were compared according to the AASM scoring criteria 1A (AHI(1A), hypopneas with a flow signal reduction of ≥ 30% with ≥ 3% oxygen reduction and/or an arousal) and 1B (AHI(1B), hypopneas with a flow signal decrease by ≥ 30% with a ≥ 4% oxygen desaturation). RESULTS: In 50 patients with OSA, the mean PSG AHI(1A) was 10.5 ± 13.8/h and the PSG AHI(1B) was 7.4 ± 12.6/h compared to a mean device AHI(Flow) of 8.4 ± 10.0/h. The correlation coefficient regarding PSG AHI(1A) and AHI(Flow) was 0.968. The correlation regarding central hypopneas on the other hand was 0.153. There were few central events to be compared in this patient group. CONCLUSION: The device-based analysis showed a high correlation in the determination of residual obstructive AHI under therapy. The recorded residual respiratory event indices in combination with the data about leakage and adherence of the studied device provide reliable information for the implementation and follow-up of CPAP therapy in a typical group of patients with OSA. Trial Registration Number: ClinicalTrials.gov Identifier: NCT04407949, May 29, 2020, retrospectively registered. Springer International Publishing 2022-11-17 /pmc/articles/PMC9669528/ /pubmed/36394692 http://dx.doi.org/10.1007/s11325-022-02740-w Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Methods • Original Article Richter, Matthias Schroeder, Maik Domanski, Ulrike Schwaibold, Matthias Nilius, Georg Reliability of respiratory event detection with continuous positive airway pressure in moderate to severe obstructive sleep apnea — comparison of polysomnography with a device-based analysis |
title | Reliability of respiratory event detection with continuous positive airway pressure in moderate to severe obstructive sleep apnea — comparison of polysomnography with a device-based analysis |
title_full | Reliability of respiratory event detection with continuous positive airway pressure in moderate to severe obstructive sleep apnea — comparison of polysomnography with a device-based analysis |
title_fullStr | Reliability of respiratory event detection with continuous positive airway pressure in moderate to severe obstructive sleep apnea — comparison of polysomnography with a device-based analysis |
title_full_unstemmed | Reliability of respiratory event detection with continuous positive airway pressure in moderate to severe obstructive sleep apnea — comparison of polysomnography with a device-based analysis |
title_short | Reliability of respiratory event detection with continuous positive airway pressure in moderate to severe obstructive sleep apnea — comparison of polysomnography with a device-based analysis |
title_sort | reliability of respiratory event detection with continuous positive airway pressure in moderate to severe obstructive sleep apnea — comparison of polysomnography with a device-based analysis |
topic | Methods • Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669528/ https://www.ncbi.nlm.nih.gov/pubmed/36394692 http://dx.doi.org/10.1007/s11325-022-02740-w |
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