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Timing of inspiratory muscle activity detected from airway pressure and flow during pressure support ventilation: the waveform method

BACKGROUND: Whether respiratory efforts and their timing can be reliably detected during pressure support ventilation using standard ventilator waveforms is unclear. This would give the opportunity to assess and improve patient–ventilator interaction without the need of special equipment. METHODS: I...

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Autores principales: Mojoli, Francesco, Pozzi, Marco, Orlando, Anita, Bianchi, Isabella M., Arisi, Eric, Iotti, Giorgio A., Braschi, Antonio, Brochard, Laurent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802480/
https://www.ncbi.nlm.nih.gov/pubmed/35094707
http://dx.doi.org/10.1186/s13054-022-03895-4
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author Mojoli, Francesco
Pozzi, Marco
Orlando, Anita
Bianchi, Isabella M.
Arisi, Eric
Iotti, Giorgio A.
Braschi, Antonio
Brochard, Laurent
author_facet Mojoli, Francesco
Pozzi, Marco
Orlando, Anita
Bianchi, Isabella M.
Arisi, Eric
Iotti, Giorgio A.
Braschi, Antonio
Brochard, Laurent
author_sort Mojoli, Francesco
collection PubMed
description BACKGROUND: Whether respiratory efforts and their timing can be reliably detected during pressure support ventilation using standard ventilator waveforms is unclear. This would give the opportunity to assess and improve patient–ventilator interaction without the need of special equipment. METHODS: In 16 patients under invasive pressure support ventilation, flow and pressure waveforms were obtained from proximal sensors and analyzed by three trained physicians and one resident to assess patient’s spontaneous activity. A systematic method (the waveform method) based on explicit rules was adopted. Esophageal pressure tracings were analyzed independently and used as reference. Breaths were classified as assisted or auto-triggered, double-triggered or ineffective. For assisted breaths, trigger delay, early and late cycling (minor asynchronies) were diagnosed. The percentage of breaths with major asynchronies (asynchrony index) and total asynchrony time were computed. RESULTS: Out of 4426 analyzed breaths, 94.1% (70.4–99.4) were assisted, 0.0% (0.0–0.2) auto-triggered and 5.8% (0.4–29.6) ineffective. Asynchrony index was 5.9% (0.6–29.6). Total asynchrony time represented 22.4% (16.3–30.1) of recording time and was mainly due to minor asynchronies. Applying the waveform method resulted in an inter-operator agreement of 0.99 (0.98–0.99); 99.5% of efforts were detected on waveforms and agreement with the reference in detecting major asynchronies was 0.99 (0.98–0.99). Timing of respiratory efforts was accurately detected on waveforms: AUC for trigger delay, cycling delay and early cycling was 0.865 (0.853–0.876), 0.903 (0.892–0.914) and 0.983 (0.970–0.991), respectively. CONCLUSIONS: Ventilator waveforms can be used alone to reliably assess patient’s spontaneous activity and patient–ventilator interaction provided that a systematic method is adopted. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-022-03895-4.
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spelling pubmed-88024802022-02-02 Timing of inspiratory muscle activity detected from airway pressure and flow during pressure support ventilation: the waveform method Mojoli, Francesco Pozzi, Marco Orlando, Anita Bianchi, Isabella M. Arisi, Eric Iotti, Giorgio A. Braschi, Antonio Brochard, Laurent Crit Care Research BACKGROUND: Whether respiratory efforts and their timing can be reliably detected during pressure support ventilation using standard ventilator waveforms is unclear. This would give the opportunity to assess and improve patient–ventilator interaction without the need of special equipment. METHODS: In 16 patients under invasive pressure support ventilation, flow and pressure waveforms were obtained from proximal sensors and analyzed by three trained physicians and one resident to assess patient’s spontaneous activity. A systematic method (the waveform method) based on explicit rules was adopted. Esophageal pressure tracings were analyzed independently and used as reference. Breaths were classified as assisted or auto-triggered, double-triggered or ineffective. For assisted breaths, trigger delay, early and late cycling (minor asynchronies) were diagnosed. The percentage of breaths with major asynchronies (asynchrony index) and total asynchrony time were computed. RESULTS: Out of 4426 analyzed breaths, 94.1% (70.4–99.4) were assisted, 0.0% (0.0–0.2) auto-triggered and 5.8% (0.4–29.6) ineffective. Asynchrony index was 5.9% (0.6–29.6). Total asynchrony time represented 22.4% (16.3–30.1) of recording time and was mainly due to minor asynchronies. Applying the waveform method resulted in an inter-operator agreement of 0.99 (0.98–0.99); 99.5% of efforts were detected on waveforms and agreement with the reference in detecting major asynchronies was 0.99 (0.98–0.99). Timing of respiratory efforts was accurately detected on waveforms: AUC for trigger delay, cycling delay and early cycling was 0.865 (0.853–0.876), 0.903 (0.892–0.914) and 0.983 (0.970–0.991), respectively. CONCLUSIONS: Ventilator waveforms can be used alone to reliably assess patient’s spontaneous activity and patient–ventilator interaction provided that a systematic method is adopted. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-022-03895-4. BioMed Central 2022-01-30 /pmc/articles/PMC8802480/ /pubmed/35094707 http://dx.doi.org/10.1186/s13054-022-03895-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Mojoli, Francesco
Pozzi, Marco
Orlando, Anita
Bianchi, Isabella M.
Arisi, Eric
Iotti, Giorgio A.
Braschi, Antonio
Brochard, Laurent
Timing of inspiratory muscle activity detected from airway pressure and flow during pressure support ventilation: the waveform method
title Timing of inspiratory muscle activity detected from airway pressure and flow during pressure support ventilation: the waveform method
title_full Timing of inspiratory muscle activity detected from airway pressure and flow during pressure support ventilation: the waveform method
title_fullStr Timing of inspiratory muscle activity detected from airway pressure and flow during pressure support ventilation: the waveform method
title_full_unstemmed Timing of inspiratory muscle activity detected from airway pressure and flow during pressure support ventilation: the waveform method
title_short Timing of inspiratory muscle activity detected from airway pressure and flow during pressure support ventilation: the waveform method
title_sort timing of inspiratory muscle activity detected from airway pressure and flow during pressure support ventilation: the waveform method
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802480/
https://www.ncbi.nlm.nih.gov/pubmed/35094707
http://dx.doi.org/10.1186/s13054-022-03895-4
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