Patient-Ventilator Synchronization During Non-invasive Ventilation

Background: Patient-ventilator synchronization during non-invasive ventilation (NIV) can be assessed by visual inspection of flow and pressure waveforms but it remains time consuming and there is a large inter-rater variability, even among expert physicians. ™ software developed by Breas Medical (Mö...

ver descrição completa

Detalhes bibliográficos
Autores: Letellier, Christophe, Luján, Manel|||0000-0001-9033-7712, Arnal, Jean-Michel, Carlucci, Annalisa, Chatwin, Michelle, Ergan, Begum, Kampelmacher, Mike, Storre, Jan Hendrik, Hart, Nicholas, Gonzalez-Bermejo, Jesus, Nava, Stefano
Tipo de documento: artigo
Data de publicação:2021
País:España
Recursos:Universitat Autònoma de Barcelona
Repositório:Dipòsit Digital de Documents de la UAB
Idioma:inglês
OAI Identifier:oai:ddd.uab.cat:252200
Acesso em linha:https://ddd.uab.cat/record/252200
https://dx.doi.org/urn:doi:10.3389/fmedt.2021.690442
Access Level:Acceso aberto
Palavra-chave:Non-invasive ventilation
Patient ventilator asynchrony
Chronic obstructive pulmonary disease
Ineffective triggering
Monitoring
Automatic scoring
id ES_9fd3390d8decfdedb1374e7d48e8d6e7
oai_identifier_str oai:ddd.uab.cat:252200
network_acronym_str ES
network_name_str España
repository_id_str
spelling Patient-Ventilator Synchronization During Non-invasive VentilationA Pilot Study of an Automated Analysis SystemLetellier, ChristopheLuján, Manel|||0000-0001-9033-7712Arnal, Jean-MichelCarlucci, AnnalisaChatwin, MichelleErgan, BegumKampelmacher, MikeStorre, Jan HendrikHart, NicholasGonzalez-Bermejo, JesusNava, StefanoNon-invasive ventilationPatient ventilator asynchronyChronic obstructive pulmonary diseaseIneffective triggeringMonitoringAutomatic scoringBackground: Patient-ventilator synchronization during non-invasive ventilation (NIV) can be assessed by visual inspection of flow and pressure waveforms but it remains time consuming and there is a large inter-rater variability, even among expert physicians. ™ software developed by Breas Medical (Mölnycke, Sweden) provides an automatic detection and scoring of patient-ventilator asynchrony to help physicians in their daily clinical practice. This study was designed to assess performance of the automatic scoring by the software using expert clinicians as a reference in patient with chronic respiratory failure receiving NIV. Methods: From nine patients, 20 min data sets were analyzed automatically by software and reviewed by nine expert physicians who were asked to score auto-triggering (AT), double-triggering (DT), and ineffective efforts (IE). The study procedure was similar to the one commonly used for validating the automatic sleep scoring technique. For each patient, the asynchrony index was computed by automatic scoring and each expert, respectively. Considering successively each expert scoring as a reference, sensitivity, specificity, positive predictive value (PPV), κ-coefficients, and agreement were calculated. Results: The asynchrony index assessed by was not significantly different from the one assessed by the experts (18.9 ± 17.7 vs. 12.8 ± 9.4, p = 0.19). When compared to an expert, the sensitivity and specificity provided by for DT, AT, and IE were significantly greater than those provided by an expert when compared to another expert. Conclusions: software is able to score asynchrony events within the inter-rater variability. When the breathing frequency is not too high (<24), it therefore provides a reliable assessment of patient-ventilator asynchrony; AT is over detected otherwise. 22021-01-0120212021-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/252200https://dx.doi.org/urn:doi:10.3389/fmedt.2021.690442reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2522002026-06-06T12:50:31Z
dc.title.none.fl_str_mv Patient-Ventilator Synchronization During Non-invasive Ventilation
A Pilot Study of an Automated Analysis System
title Patient-Ventilator Synchronization During Non-invasive Ventilation
spellingShingle Patient-Ventilator Synchronization During Non-invasive Ventilation
Letellier, Christophe
Non-invasive ventilation
Patient ventilator asynchrony
Chronic obstructive pulmonary disease
Ineffective triggering
Monitoring
Automatic scoring
title_short Patient-Ventilator Synchronization During Non-invasive Ventilation
title_full Patient-Ventilator Synchronization During Non-invasive Ventilation
title_fullStr Patient-Ventilator Synchronization During Non-invasive Ventilation
title_full_unstemmed Patient-Ventilator Synchronization During Non-invasive Ventilation
title_sort Patient-Ventilator Synchronization During Non-invasive Ventilation
dc.creator.none.fl_str_mv Letellier, Christophe
Luján, Manel|||0000-0001-9033-7712
Arnal, Jean-Michel
Carlucci, Annalisa
Chatwin, Michelle
Ergan, Begum
Kampelmacher, Mike
Storre, Jan Hendrik
Hart, Nicholas
Gonzalez-Bermejo, Jesus
Nava, Stefano
author Letellier, Christophe
author_facet Letellier, Christophe
Luján, Manel|||0000-0001-9033-7712
Arnal, Jean-Michel
Carlucci, Annalisa
Chatwin, Michelle
Ergan, Begum
Kampelmacher, Mike
Storre, Jan Hendrik
Hart, Nicholas
Gonzalez-Bermejo, Jesus
Nava, Stefano
author_role author
author2 Luján, Manel|||0000-0001-9033-7712
Arnal, Jean-Michel
Carlucci, Annalisa
Chatwin, Michelle
Ergan, Begum
Kampelmacher, Mike
Storre, Jan Hendrik
Hart, Nicholas
Gonzalez-Bermejo, Jesus
Nava, Stefano
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Non-invasive ventilation
Patient ventilator asynchrony
Chronic obstructive pulmonary disease
Ineffective triggering
Monitoring
Automatic scoring
topic Non-invasive ventilation
Patient ventilator asynchrony
Chronic obstructive pulmonary disease
Ineffective triggering
Monitoring
Automatic scoring
description Background: Patient-ventilator synchronization during non-invasive ventilation (NIV) can be assessed by visual inspection of flow and pressure waveforms but it remains time consuming and there is a large inter-rater variability, even among expert physicians. ™ software developed by Breas Medical (Mölnycke, Sweden) provides an automatic detection and scoring of patient-ventilator asynchrony to help physicians in their daily clinical practice. This study was designed to assess performance of the automatic scoring by the software using expert clinicians as a reference in patient with chronic respiratory failure receiving NIV. Methods: From nine patients, 20 min data sets were analyzed automatically by software and reviewed by nine expert physicians who were asked to score auto-triggering (AT), double-triggering (DT), and ineffective efforts (IE). The study procedure was similar to the one commonly used for validating the automatic sleep scoring technique. For each patient, the asynchrony index was computed by automatic scoring and each expert, respectively. Considering successively each expert scoring as a reference, sensitivity, specificity, positive predictive value (PPV), κ-coefficients, and agreement were calculated. Results: The asynchrony index assessed by was not significantly different from the one assessed by the experts (18.9 ± 17.7 vs. 12.8 ± 9.4, p = 0.19). When compared to an expert, the sensitivity and specificity provided by for DT, AT, and IE were significantly greater than those provided by an expert when compared to another expert. Conclusions: software is able to score asynchrony events within the inter-rater variability. When the breathing frequency is not too high (<24), it therefore provides a reliable assessment of patient-ventilator asynchrony; AT is over detected otherwise.
publishDate 2021
dc.date.none.fl_str_mv 2
2021-01-01
2021
2021-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/252200
https://dx.doi.org/urn:doi:10.3389/fmedt.2021.690442
url https://ddd.uab.cat/record/252200
https://dx.doi.org/urn:doi:10.3389/fmedt.2021.690442
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869414960494280704
score 15,300719

Registros relacionados