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ECMO Assistance during Mechanical Ventilation: Effects Induced on Energetic and Haemodynamic Variables

BACKGROUND AND OBJECTIVE: Simulation in cardiovascular medicine may help clinicians understand the important events occurring during mechanical ventilation and circulatory support. During the COVID-19 pandemic, a significant number of patients have required hospital admission to tertiary referral ce...

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Autores principales: De Lazzari, Beatrice, Iacovoni, Attilio, Mottaghy, Khosrow, Capoccia, Massimo, Badagliacca, Roberto, Vizza, Carmine Dario, De Lazzari, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754723/
https://www.ncbi.nlm.nih.gov/pubmed/33618144
http://dx.doi.org/10.1016/j.cmpb.2021.106003
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author De Lazzari, Beatrice
Iacovoni, Attilio
Mottaghy, Khosrow
Capoccia, Massimo
Badagliacca, Roberto
Vizza, Carmine Dario
De Lazzari, Claudio
author_facet De Lazzari, Beatrice
Iacovoni, Attilio
Mottaghy, Khosrow
Capoccia, Massimo
Badagliacca, Roberto
Vizza, Carmine Dario
De Lazzari, Claudio
author_sort De Lazzari, Beatrice
collection PubMed
description BACKGROUND AND OBJECTIVE: Simulation in cardiovascular medicine may help clinicians understand the important events occurring during mechanical ventilation and circulatory support. During the COVID-19 pandemic, a significant number of patients have required hospital admission to tertiary referral centres for concomitant mechanical ventilation and extracorporeal membrane oxygenation (ECMO). Nevertheless, the management of ventilated patients on circulatory support can be quite challenging. Therefore, we sought to review the management of these patients based on the analysis of haemodynamic and energetic parameters using numerical simulations generated by a software package named CARDIOSIM©. METHODS: New modules of the systemic circulation and ECMO were implemented in CARDIOSIM© platform. This is a modular software simulator of the cardiovascular system used in research, clinical and e-learning environment. The new structure of the developed modules is based on the concept of lumped (0-D) numerical modelling. Different ECMO configurations have been connected to the cardiovascular network to reproduce Veno-Arterial (VA) and Veno-Venous (VV) ECMO assistance. The advantages and limitations of different ECMO cannulation strategies have been considered. We have used literature data to validate the effects of a combined ventilation and ECMO support strategy. RESULTS: The results have shown that our simulations reproduced the typical effects induced during mechanical ventilation and ECMO assistance. We focused our attention on ECMO with triple cannulation such as Veno-Ventricular-Arterial (VV-A) and Veno-Atrial-Arterial (VA-A) configurations to improve the hemodynamic and energetic conditions of a virtual patient. Simulations of VV-A and VA-A assistance with and without mechanical ventilation have generated specific effects on cardiac output, coupling of arterial and ventricular elastance for both ventricles, mean pulmonary pressure, external work and pressure volume area. CONCLUSION: The new modules of the systemic circulation and ECMO support allowed the study of the effects induced by concomitant mechanical ventilation and circulatory support. Based on our clinical experience during the COVID-19 pandemic, numerical simulations may help clinicians with data analysis and treatment optimisation of patients requiring both mechanical ventilation and circulatory support.
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spelling pubmed-97547232022-12-16 ECMO Assistance during Mechanical Ventilation: Effects Induced on Energetic and Haemodynamic Variables De Lazzari, Beatrice Iacovoni, Attilio Mottaghy, Khosrow Capoccia, Massimo Badagliacca, Roberto Vizza, Carmine Dario De Lazzari, Claudio Comput Methods Programs Biomed Article BACKGROUND AND OBJECTIVE: Simulation in cardiovascular medicine may help clinicians understand the important events occurring during mechanical ventilation and circulatory support. During the COVID-19 pandemic, a significant number of patients have required hospital admission to tertiary referral centres for concomitant mechanical ventilation and extracorporeal membrane oxygenation (ECMO). Nevertheless, the management of ventilated patients on circulatory support can be quite challenging. Therefore, we sought to review the management of these patients based on the analysis of haemodynamic and energetic parameters using numerical simulations generated by a software package named CARDIOSIM©. METHODS: New modules of the systemic circulation and ECMO were implemented in CARDIOSIM© platform. This is a modular software simulator of the cardiovascular system used in research, clinical and e-learning environment. The new structure of the developed modules is based on the concept of lumped (0-D) numerical modelling. Different ECMO configurations have been connected to the cardiovascular network to reproduce Veno-Arterial (VA) and Veno-Venous (VV) ECMO assistance. The advantages and limitations of different ECMO cannulation strategies have been considered. We have used literature data to validate the effects of a combined ventilation and ECMO support strategy. RESULTS: The results have shown that our simulations reproduced the typical effects induced during mechanical ventilation and ECMO assistance. We focused our attention on ECMO with triple cannulation such as Veno-Ventricular-Arterial (VV-A) and Veno-Atrial-Arterial (VA-A) configurations to improve the hemodynamic and energetic conditions of a virtual patient. Simulations of VV-A and VA-A assistance with and without mechanical ventilation have generated specific effects on cardiac output, coupling of arterial and ventricular elastance for both ventricles, mean pulmonary pressure, external work and pressure volume area. CONCLUSION: The new modules of the systemic circulation and ECMO support allowed the study of the effects induced by concomitant mechanical ventilation and circulatory support. Based on our clinical experience during the COVID-19 pandemic, numerical simulations may help clinicians with data analysis and treatment optimisation of patients requiring both mechanical ventilation and circulatory support. Elsevier B.V. 2021-04 2021-02-14 /pmc/articles/PMC9754723/ /pubmed/33618144 http://dx.doi.org/10.1016/j.cmpb.2021.106003 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
De Lazzari, Beatrice
Iacovoni, Attilio
Mottaghy, Khosrow
Capoccia, Massimo
Badagliacca, Roberto
Vizza, Carmine Dario
De Lazzari, Claudio
ECMO Assistance during Mechanical Ventilation: Effects Induced on Energetic and Haemodynamic Variables
title ECMO Assistance during Mechanical Ventilation: Effects Induced on Energetic and Haemodynamic Variables
title_full ECMO Assistance during Mechanical Ventilation: Effects Induced on Energetic and Haemodynamic Variables
title_fullStr ECMO Assistance during Mechanical Ventilation: Effects Induced on Energetic and Haemodynamic Variables
title_full_unstemmed ECMO Assistance during Mechanical Ventilation: Effects Induced on Energetic and Haemodynamic Variables
title_short ECMO Assistance during Mechanical Ventilation: Effects Induced on Energetic and Haemodynamic Variables
title_sort ecmo assistance during mechanical ventilation: effects induced on energetic and haemodynamic variables
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754723/
https://www.ncbi.nlm.nih.gov/pubmed/33618144
http://dx.doi.org/10.1016/j.cmpb.2021.106003
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