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Exhalatory dynamic interactions between patients connected to a shared ventilation device

In this work a shared pressure-controlled ventilation device for two patients is considered. By the use of different valves incorporated to the circuit, the device enables the restriction of possible cross contamination and the individualization of tidal volumes, driving pressures, and positive end...

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Autores principales: Garcia Eijo, Pedro M., D’Adamo, Juan, Bianchetti, Arturo, Duriez, Thomas, Cabaleiro, Juan M., Irrazabal, Célica, Otero, Pablo, Artana, Guillermo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096090/
https://www.ncbi.nlm.nih.gov/pubmed/33945551
http://dx.doi.org/10.1371/journal.pone.0250672
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author Garcia Eijo, Pedro M.
D’Adamo, Juan
Bianchetti, Arturo
Duriez, Thomas
Cabaleiro, Juan M.
Irrazabal, Célica
Otero, Pablo
Artana, Guillermo
author_facet Garcia Eijo, Pedro M.
D’Adamo, Juan
Bianchetti, Arturo
Duriez, Thomas
Cabaleiro, Juan M.
Irrazabal, Célica
Otero, Pablo
Artana, Guillermo
author_sort Garcia Eijo, Pedro M.
collection PubMed
description In this work a shared pressure-controlled ventilation device for two patients is considered. By the use of different valves incorporated to the circuit, the device enables the restriction of possible cross contamination and the individualization of tidal volumes, driving pressures, and positive end expiratory pressure PEEP. Possible interactions in the expiratory dynamics of different pairs of patients are evaluated in terms of the characteristic exhalatory times. These characteristic times can not be easily established using simple linear lumped element models. For this purpose, a 1D model using the Hydraulic and Mechanical libraries in Matlab Simulink was developed. In this sense, experiments accompany this study to validate the model and characterize the different valves of the circuit. Our results show that connecting two patients in parallel to a ventilator always resulted in delays of time during the exhalation. The size of this effect depends on different parameters associated with the patients, the circuit and the ventilator. The dynamics of the exhalation of both patients is determined by the ratios between patients exhalatory resistances, compliances, driving pressures and PEEPs. Adverse effects on exhalations became less noticeable when respiratory parameters of both patients were similar, flow resistances of valves added to the circuit were negligible, and when the ventilator exhalatory valve resistance was also negligible. The asymmetries of driving pressures, compliances or resistances exacerbated the possibility of auto-PEEP and the increase in relaxation times became greater in one patient than in the other. In contrast, exhalatory dynamics were less sensitive to the ratio of PEEP imposed to the patients.
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spelling pubmed-80960902021-05-17 Exhalatory dynamic interactions between patients connected to a shared ventilation device Garcia Eijo, Pedro M. D’Adamo, Juan Bianchetti, Arturo Duriez, Thomas Cabaleiro, Juan M. Irrazabal, Célica Otero, Pablo Artana, Guillermo PLoS One Research Article In this work a shared pressure-controlled ventilation device for two patients is considered. By the use of different valves incorporated to the circuit, the device enables the restriction of possible cross contamination and the individualization of tidal volumes, driving pressures, and positive end expiratory pressure PEEP. Possible interactions in the expiratory dynamics of different pairs of patients are evaluated in terms of the characteristic exhalatory times. These characteristic times can not be easily established using simple linear lumped element models. For this purpose, a 1D model using the Hydraulic and Mechanical libraries in Matlab Simulink was developed. In this sense, experiments accompany this study to validate the model and characterize the different valves of the circuit. Our results show that connecting two patients in parallel to a ventilator always resulted in delays of time during the exhalation. The size of this effect depends on different parameters associated with the patients, the circuit and the ventilator. The dynamics of the exhalation of both patients is determined by the ratios between patients exhalatory resistances, compliances, driving pressures and PEEPs. Adverse effects on exhalations became less noticeable when respiratory parameters of both patients were similar, flow resistances of valves added to the circuit were negligible, and when the ventilator exhalatory valve resistance was also negligible. The asymmetries of driving pressures, compliances or resistances exacerbated the possibility of auto-PEEP and the increase in relaxation times became greater in one patient than in the other. In contrast, exhalatory dynamics were less sensitive to the ratio of PEEP imposed to the patients. Public Library of Science 2021-05-04 /pmc/articles/PMC8096090/ /pubmed/33945551 http://dx.doi.org/10.1371/journal.pone.0250672 Text en © 2021 Garcia Eijo et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Garcia Eijo, Pedro M.
D’Adamo, Juan
Bianchetti, Arturo
Duriez, Thomas
Cabaleiro, Juan M.
Irrazabal, Célica
Otero, Pablo
Artana, Guillermo
Exhalatory dynamic interactions between patients connected to a shared ventilation device
title Exhalatory dynamic interactions between patients connected to a shared ventilation device
title_full Exhalatory dynamic interactions between patients connected to a shared ventilation device
title_fullStr Exhalatory dynamic interactions between patients connected to a shared ventilation device
title_full_unstemmed Exhalatory dynamic interactions between patients connected to a shared ventilation device
title_short Exhalatory dynamic interactions between patients connected to a shared ventilation device
title_sort exhalatory dynamic interactions between patients connected to a shared ventilation device
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096090/
https://www.ncbi.nlm.nih.gov/pubmed/33945551
http://dx.doi.org/10.1371/journal.pone.0250672
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