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Surface electromyography to quantify neuro-respiratory drive and neuro-mechanical coupling in mechanically ventilated children

BACKGROUND: The patient’s neuro-respiratory drive, measured as electrical activity of the diaphragm (EAdi), quantifies the mechanical load on the respiratory muscles. It correlates with respiratory effort but requires a dedicated esophageal catheter. Transcutaneous (surface) monitoring of respirator...

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Autores principales: Koopman, Alette A., van Dijk, Jefta, Oppersma, Eline, Blokpoel, Robert G. T., Kneyber, Martin C. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10010013/
https://www.ncbi.nlm.nih.gov/pubmed/36915106
http://dx.doi.org/10.1186/s12931-023-02374-w
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author Koopman, Alette A.
van Dijk, Jefta
Oppersma, Eline
Blokpoel, Robert G. T.
Kneyber, Martin C. J.
author_facet Koopman, Alette A.
van Dijk, Jefta
Oppersma, Eline
Blokpoel, Robert G. T.
Kneyber, Martin C. J.
author_sort Koopman, Alette A.
collection PubMed
description BACKGROUND: The patient’s neuro-respiratory drive, measured as electrical activity of the diaphragm (EAdi), quantifies the mechanical load on the respiratory muscles. It correlates with respiratory effort but requires a dedicated esophageal catheter. Transcutaneous (surface) monitoring of respiratory muscle electromyographic (sEMG) signals may be considered a suitable alternative to EAdi because of its non-invasive character, with the additional benefit that it allows for simultaneously monitoring of other respiratory muscles. We therefore sought to study the neuro-respiratory drive and timing of inspiratory muscles using sEMG in a cohort of children enrolled in a pediatric ventilation liberation trial. The neuro-mechanical coupling, relating the pressure generated by the inspiratory muscles to the sEMG signals of these muscles, was also calculated. METHODS: This is a secondary analysis of data from a randomized cross-over trial in ventilated patients aged < 5 years. sEMG recordings of the diaphragm and parasternal intercostal muscles (ICM), esophageal pressure tracings and ventilator scalars were simultaneously recorded during continuous spontaneous ventilation and pressure controlled-intermittent mandatory ventilation, and at three levels of pressure support. Neuro-respiratory drive, timing of diaphragm and ICM relative to the mechanical ventilator’s inspiration and neuro-mechanical coupling were quantified. RESULTS: Twenty-nine patients were included (median age: 5.9 months). In response to decreasing pressure support, both amplitude of sEMG (diaphragm: p = 0.001 and ICM: p = 0.002) and neuro-mechanical efficiency indices increased (diaphragm: p = 0.05 and ICM: p < 0.001). Poor correlations between neuro-respiratory drive and respiratory effort were found, with R(2): 0.088 [0.021–0.152]. CONCLUSIONS: sEMG allows for the quantification of the electrical activity of the diaphragm and ICM in mechanically ventilated children. Both neuro-respiratory drive and neuro-mechanical efficiency increased in response to lower inspiratory assistance. There was poor correlation between neuro-respiratory drive and respiratory effort. TRIAL REGISTRATION: ClinicalTrials.gov ID NCT05254691. Registered 24 February 2022, registered retrospectively. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-023-02374-w.
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spelling pubmed-100100132023-03-14 Surface electromyography to quantify neuro-respiratory drive and neuro-mechanical coupling in mechanically ventilated children Koopman, Alette A. van Dijk, Jefta Oppersma, Eline Blokpoel, Robert G. T. Kneyber, Martin C. J. Respir Res Research BACKGROUND: The patient’s neuro-respiratory drive, measured as electrical activity of the diaphragm (EAdi), quantifies the mechanical load on the respiratory muscles. It correlates with respiratory effort but requires a dedicated esophageal catheter. Transcutaneous (surface) monitoring of respiratory muscle electromyographic (sEMG) signals may be considered a suitable alternative to EAdi because of its non-invasive character, with the additional benefit that it allows for simultaneously monitoring of other respiratory muscles. We therefore sought to study the neuro-respiratory drive and timing of inspiratory muscles using sEMG in a cohort of children enrolled in a pediatric ventilation liberation trial. The neuro-mechanical coupling, relating the pressure generated by the inspiratory muscles to the sEMG signals of these muscles, was also calculated. METHODS: This is a secondary analysis of data from a randomized cross-over trial in ventilated patients aged < 5 years. sEMG recordings of the diaphragm and parasternal intercostal muscles (ICM), esophageal pressure tracings and ventilator scalars were simultaneously recorded during continuous spontaneous ventilation and pressure controlled-intermittent mandatory ventilation, and at three levels of pressure support. Neuro-respiratory drive, timing of diaphragm and ICM relative to the mechanical ventilator’s inspiration and neuro-mechanical coupling were quantified. RESULTS: Twenty-nine patients were included (median age: 5.9 months). In response to decreasing pressure support, both amplitude of sEMG (diaphragm: p = 0.001 and ICM: p = 0.002) and neuro-mechanical efficiency indices increased (diaphragm: p = 0.05 and ICM: p < 0.001). Poor correlations between neuro-respiratory drive and respiratory effort were found, with R(2): 0.088 [0.021–0.152]. CONCLUSIONS: sEMG allows for the quantification of the electrical activity of the diaphragm and ICM in mechanically ventilated children. Both neuro-respiratory drive and neuro-mechanical efficiency increased in response to lower inspiratory assistance. There was poor correlation between neuro-respiratory drive and respiratory effort. TRIAL REGISTRATION: ClinicalTrials.gov ID NCT05254691. Registered 24 February 2022, registered retrospectively. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-023-02374-w. BioMed Central 2023-03-13 2023 /pmc/articles/PMC10010013/ /pubmed/36915106 http://dx.doi.org/10.1186/s12931-023-02374-w Text en © The Author(s) 2023 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
Koopman, Alette A.
van Dijk, Jefta
Oppersma, Eline
Blokpoel, Robert G. T.
Kneyber, Martin C. J.
Surface electromyography to quantify neuro-respiratory drive and neuro-mechanical coupling in mechanically ventilated children
title Surface electromyography to quantify neuro-respiratory drive and neuro-mechanical coupling in mechanically ventilated children
title_full Surface electromyography to quantify neuro-respiratory drive and neuro-mechanical coupling in mechanically ventilated children
title_fullStr Surface electromyography to quantify neuro-respiratory drive and neuro-mechanical coupling in mechanically ventilated children
title_full_unstemmed Surface electromyography to quantify neuro-respiratory drive and neuro-mechanical coupling in mechanically ventilated children
title_short Surface electromyography to quantify neuro-respiratory drive and neuro-mechanical coupling in mechanically ventilated children
title_sort surface electromyography to quantify neuro-respiratory drive and neuro-mechanical coupling in mechanically ventilated children
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10010013/
https://www.ncbi.nlm.nih.gov/pubmed/36915106
http://dx.doi.org/10.1186/s12931-023-02374-w
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