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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...

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Autores principales: Rotty, Marie-Caroline, Mallet, Jean-Pierre, Suehs, Carey M., Martinez, Christian, Borel, Jean-Christian, Rabec, Claudio, Bourdin, Arnaud, Molinari, Nicolas, Jaffuel, Dany
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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).
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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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