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Is the 2013 American Thoracic Society CPAP-tracking system algorithm useful for managing non-adherence in long-term CPAP-treated patients?
BACKGROUND: Whereas telemedicine usage is growing, the only clinical algorithm for Continuous Positive Airway Pressure (CPAP) adherence management is that stipulated by the 2013 American Thoracic Society (ATS). The capacity of the latter to predict non-adherence in long-term CPAP-treated patients ha...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6739917/ https://www.ncbi.nlm.nih.gov/pubmed/31514751 http://dx.doi.org/10.1186/s12931-019-1150-7 |
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author | Rotty, Marie-Caroline Mallet, Jean-Pierre Suehs, Carey M. Martinez, Christian Borel, Jean-Christian Rabec, Claudio Bourdin, Arnaud Molinari, Nicolas Jaffuel, Dany |
author_facet | Rotty, Marie-Caroline Mallet, Jean-Pierre Suehs, Carey M. Martinez, Christian Borel, Jean-Christian Rabec, Claudio Bourdin, Arnaud Molinari, Nicolas Jaffuel, Dany |
author_sort | Rotty, Marie-Caroline |
collection | PubMed |
description | BACKGROUND: Whereas telemedicine usage is growing, the only clinical algorithm for Continuous Positive Airway Pressure (CPAP) adherence management is that stipulated by the 2013 American Thoracic Society (ATS). The capacity of the latter to predict non-adherence in long-term CPAP-treated patients has not been validated. METHODS: Patients from the prospective real-life InterfaceVent study (NCT03013283, study conducted in an adult cohort undergoing at least 3 months of CPAP) and eligible for ATS algorithm usage were analysed. The residual device Apnea–Hypopnea-Index (AHI(flow)) and High Large Leak (HLL) thresholds proposed in the ATS algorithm were evaluated for predicting adherence (i.e. AHI(flow) > 10/h, HLLs 95th > 24 L/min for ResMed® devices and ResMed® nasal mask, HLLs 95th > 36 l/min for ResMed® devices and ResMed® oronasal masks, HLLs > 1 h for Philips® devices and HHLs > 60 l/min for Fisher & Paykel® devices). Adherence was defined according to the 2013 ATS algorithm (i.e. CPAP use > 4 h/j for at least 70% of days). RESULTS: 650/1484 patients eligible for ATS algorithm usage were analysed (15.38% non-adherent, 74% male with a median (IQ(25–75)) age of 68 (61–77) years, a body mass index of 30.8 (27.7–34.5) kg/m(2), an initial AHI of 39 (31–55) events/h, and CPAP-treatment-duration of 5.1 (2.2–7.8) years). Logistic regression analysis demonstrated no significant relationship between the ATS proposed AHI(flow) or HLL thresholds and non-adherence. Complementary ROC curve analysis failed to determine satisfactory AHI(flow) and HLL thresholds. CONCLUSION: When managing non-adherence in long-term CPAP-treated patients, our data do not validate absolute AHI(flow) or HLL thresholds in general. TRIAL REGISTRATION: The INTERFACE-VENT study is registered on ClinicalTrials.gov (Identifier: study (NCT03013283). |
format | Online Article Text |
id | pubmed-6739917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-67399172019-09-16 Is the 2013 American Thoracic Society CPAP-tracking system algorithm useful for managing non-adherence in long-term CPAP-treated patients? Rotty, Marie-Caroline Mallet, Jean-Pierre Suehs, Carey M. Martinez, Christian Borel, Jean-Christian Rabec, Claudio Bourdin, Arnaud Molinari, Nicolas Jaffuel, Dany Respir Res Letter to the Editor BACKGROUND: Whereas telemedicine usage is growing, the only clinical algorithm for Continuous Positive Airway Pressure (CPAP) adherence management is that stipulated by the 2013 American Thoracic Society (ATS). The capacity of the latter to predict non-adherence in long-term CPAP-treated patients has not been validated. METHODS: Patients from the prospective real-life InterfaceVent study (NCT03013283, study conducted in an adult cohort undergoing at least 3 months of CPAP) and eligible for ATS algorithm usage were analysed. The residual device Apnea–Hypopnea-Index (AHI(flow)) and High Large Leak (HLL) thresholds proposed in the ATS algorithm were evaluated for predicting adherence (i.e. AHI(flow) > 10/h, HLLs 95th > 24 L/min for ResMed® devices and ResMed® nasal mask, HLLs 95th > 36 l/min for ResMed® devices and ResMed® oronasal masks, HLLs > 1 h for Philips® devices and HHLs > 60 l/min for Fisher & Paykel® devices). Adherence was defined according to the 2013 ATS algorithm (i.e. CPAP use > 4 h/j for at least 70% of days). RESULTS: 650/1484 patients eligible for ATS algorithm usage were analysed (15.38% non-adherent, 74% male with a median (IQ(25–75)) age of 68 (61–77) years, a body mass index of 30.8 (27.7–34.5) kg/m(2), an initial AHI of 39 (31–55) events/h, and CPAP-treatment-duration of 5.1 (2.2–7.8) years). Logistic regression analysis demonstrated no significant relationship between the ATS proposed AHI(flow) or HLL thresholds and non-adherence. Complementary ROC curve analysis failed to determine satisfactory AHI(flow) and HLL thresholds. CONCLUSION: When managing non-adherence in long-term CPAP-treated patients, our data do not validate absolute AHI(flow) or HLL thresholds in general. TRIAL REGISTRATION: The INTERFACE-VENT study is registered on ClinicalTrials.gov (Identifier: study (NCT03013283). BioMed Central 2019-09-12 2019 /pmc/articles/PMC6739917/ /pubmed/31514751 http://dx.doi.org/10.1186/s12931-019-1150-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 | Letter to the Editor Rotty, Marie-Caroline Mallet, Jean-Pierre Suehs, Carey M. Martinez, Christian Borel, Jean-Christian Rabec, Claudio Bourdin, Arnaud Molinari, Nicolas Jaffuel, Dany Is the 2013 American Thoracic Society CPAP-tracking system algorithm useful for managing non-adherence in long-term CPAP-treated patients? |
title | Is the 2013 American Thoracic Society CPAP-tracking system algorithm useful for managing non-adherence in long-term CPAP-treated patients? |
title_full | Is the 2013 American Thoracic Society CPAP-tracking system algorithm useful for managing non-adherence in long-term CPAP-treated patients? |
title_fullStr | Is the 2013 American Thoracic Society CPAP-tracking system algorithm useful for managing non-adherence in long-term CPAP-treated patients? |
title_full_unstemmed | Is the 2013 American Thoracic Society CPAP-tracking system algorithm useful for managing non-adherence in long-term CPAP-treated patients? |
title_short | Is the 2013 American Thoracic Society CPAP-tracking system algorithm useful for managing non-adherence in long-term CPAP-treated patients? |
title_sort | is the 2013 american thoracic society cpap-tracking system algorithm useful for managing non-adherence in long-term cpap-treated patients? |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6739917/ https://www.ncbi.nlm.nih.gov/pubmed/31514751 http://dx.doi.org/10.1186/s12931-019-1150-7 |
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