Individualized real-time clinical decision support to monitor cardiac loading during venoarterial ECMO

Veno-arterial extracoporeal membrane oxygenation (VA ECMO) is increasingly used for acute and refractory cardiogenic shock. Yet, in clinical practice, monitoring of cardiac loading conditions during VA ECMO can be cumbersome. To this end, we illustrate the validity and clinical applicability of a re...

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Detalles Bibliográficos
Autores principales: Broomé, Michael, Donker, Dirk W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Commentary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704258/
https://www.ncbi.nlm.nih.gov/pubmed/26739873
http://dx.doi.org/10.1186/s12967-015-0760-1
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author Broomé, Michael
Donker, Dirk W.
author_facet Broomé, Michael
Donker, Dirk W.
author_sort Broomé, Michael
collection PubMed
description Veno-arterial extracoporeal membrane oxygenation (VA ECMO) is increasingly used for acute and refractory cardiogenic shock. Yet, in clinical practice, monitoring of cardiac loading conditions during VA ECMO can be cumbersome. To this end, we illustrate the validity and clinical applicability of a real-time cardiovascular computer simulation, which allows to integrate hemodynamics, cardiac dimensions and the corresponding degree of VA ECMO support and ventricular loading in individual patients over time. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-015-0760-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-47042582016-01-08 Individualized real-time clinical decision support to monitor cardiac loading during venoarterial ECMO Broomé, Michael Donker, Dirk W. J Transl Med Commentary Veno-arterial extracoporeal membrane oxygenation (VA ECMO) is increasingly used for acute and refractory cardiogenic shock. Yet, in clinical practice, monitoring of cardiac loading conditions during VA ECMO can be cumbersome. To this end, we illustrate the validity and clinical applicability of a real-time cardiovascular computer simulation, which allows to integrate hemodynamics, cardiac dimensions and the corresponding degree of VA ECMO support and ventricular loading in individual patients over time. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-015-0760-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-01-06 /pmc/articles/PMC4704258/ /pubmed/26739873 http://dx.doi.org/10.1186/s12967-015-0760-1 Text en © Broomé and Donker. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Commentary
Broomé, Michael
Donker, Dirk W.
Individualized real-time clinical decision support to monitor cardiac loading during venoarterial ECMO
title Individualized real-time clinical decision support to monitor cardiac loading during venoarterial ECMO
title_full Individualized real-time clinical decision support to monitor cardiac loading during venoarterial ECMO
title_fullStr Individualized real-time clinical decision support to monitor cardiac loading during venoarterial ECMO
title_full_unstemmed Individualized real-time clinical decision support to monitor cardiac loading during venoarterial ECMO
title_short Individualized real-time clinical decision support to monitor cardiac loading during venoarterial ECMO
title_sort individualized real-time clinical decision support to monitor cardiac loading during venoarterial ecmo
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704258/
https://www.ncbi.nlm.nih.gov/pubmed/26739873
http://dx.doi.org/10.1186/s12967-015-0760-1
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