Cargando…

Development of an app-based bedside clinical decision-making tool for mechanical cardiocirculatory support in patients with cardiogenic shock: the MCS-Aid app

BACKGROUND: Patients presenting with cardiogenic shock remain at high risk of morbidity and mortality. Several mechanical cardiocirculatory support (MCS) devices have been developed and their use is rapidly increase in clinical practice. However, there is significant heterogeneity in patient selecti...

Descripción completa

Detalles Bibliográficos
Autores principales: Giustino, G, Serrao, G W, Melarcode-Krishnamoorty, P, Vengrenyuk, A, Kyaw, H, Gidwani, U, Sharma, S K, Kini, A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779758/
http://dx.doi.org/10.1093/ehjdh/ztac076.2791
_version_ 1784856688141008896
author Giustino, G
Serrao, G W
Melarcode-Krishnamoorty, P
Vengrenyuk, A
Kyaw, H
Gidwani, U
Sharma, S K
Kini, A
author_facet Giustino, G
Serrao, G W
Melarcode-Krishnamoorty, P
Vengrenyuk, A
Kyaw, H
Gidwani, U
Sharma, S K
Kini, A
author_sort Giustino, G
collection PubMed
description BACKGROUND: Patients presenting with cardiogenic shock remain at high risk of morbidity and mortality. Several mechanical cardiocirculatory support (MCS) devices have been developed and their use is rapidly increase in clinical practice. However, there is significant heterogeneity in patient selection, timing of implantation, and post-implantation management across centers and operators. PURPOSE: We sought to develop and smartphone app-based clinical decision-making tool to help bedside selection and post-implantation management of MCS devices in patients presenting with cardiogenic shock or cardiac arrest. METHODS: The MCS-Aid app will consistent of 3 major sections: (i) initial device selection based on clinical presentation (patients with cardiogenic shock or cardiac arrest post-ROSC); (ii) guide for escalation or addition of MCS based on the individual hemodynamic scenario; (iii) guide for weaning after implantation of MCS device. The app will have an interactive interface that will allow the user to select the most appropriate next step in management based on the clinical information being entered. A calculator to derive key hemodynamic parameters (e.g. cardiac power output or pulmonary artery pulsatility index) will be incorporated in the App to inform clinical decision-making when appropriate. An example of an algorithm that will be part of the MCS-Aid app is illustrated in the figure. CONCLUSIONS: The MCS-Aid app is an user-friendly bedside clinical decision tool that could help fellows-in-training, early-career interventionalist and interventional cardiologist to select the appropriate MCS device according to the individual clinical and hemodynamic scenario. FUNDING ACKNOWLEDGEMENT: Type of funding sources: Private company. Main funding source(s): Abiomed
format Online
Article
Text
id pubmed-9779758
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-97797582023-01-27 Development of an app-based bedside clinical decision-making tool for mechanical cardiocirculatory support in patients with cardiogenic shock: the MCS-Aid app Giustino, G Serrao, G W Melarcode-Krishnamoorty, P Vengrenyuk, A Kyaw, H Gidwani, U Sharma, S K Kini, A Eur Heart J Digit Health Abstracts BACKGROUND: Patients presenting with cardiogenic shock remain at high risk of morbidity and mortality. Several mechanical cardiocirculatory support (MCS) devices have been developed and their use is rapidly increase in clinical practice. However, there is significant heterogeneity in patient selection, timing of implantation, and post-implantation management across centers and operators. PURPOSE: We sought to develop and smartphone app-based clinical decision-making tool to help bedside selection and post-implantation management of MCS devices in patients presenting with cardiogenic shock or cardiac arrest. METHODS: The MCS-Aid app will consistent of 3 major sections: (i) initial device selection based on clinical presentation (patients with cardiogenic shock or cardiac arrest post-ROSC); (ii) guide for escalation or addition of MCS based on the individual hemodynamic scenario; (iii) guide for weaning after implantation of MCS device. The app will have an interactive interface that will allow the user to select the most appropriate next step in management based on the clinical information being entered. A calculator to derive key hemodynamic parameters (e.g. cardiac power output or pulmonary artery pulsatility index) will be incorporated in the App to inform clinical decision-making when appropriate. An example of an algorithm that will be part of the MCS-Aid app is illustrated in the figure. CONCLUSIONS: The MCS-Aid app is an user-friendly bedside clinical decision tool that could help fellows-in-training, early-career interventionalist and interventional cardiologist to select the appropriate MCS device according to the individual clinical and hemodynamic scenario. FUNDING ACKNOWLEDGEMENT: Type of funding sources: Private company. Main funding source(s): Abiomed Oxford University Press 2022-12-22 /pmc/articles/PMC9779758/ http://dx.doi.org/10.1093/ehjdh/ztac076.2791 Text en Reproduced from: European Heart Journal, Volume 43, Issue Supplement_2, October 2022, ehac544.2791, https://doi.org/10.1093/eurheartj/ehac544.2791 by permission of Oxford University Press on behalf of the European Society of Cardiology. The opinions expressed in the Journal item reproduced as this reprint are those of the authors and contributors, and do not necessarily reflect those of the European Society of Cardiology, the editors, the editorial board, Oxford University Press or the organization to which the authors are affiliated. The mention of trade names, commercial products or organizations, and the inclusion of advertisements in this reprint do not imply endorsement by the Journal, the editors, the editorial board, Oxford University Press or the organization to which the authors are affiliated. The editors and publishers have taken all reasonable precautions to verify drug names and doses, the results of experimental work and clinical findings published in the Journal. The ultimate responsibility for the use and dosage of drugs mentioned in this reprint and in interpretation of published material lies with the medical practitioner, and the editors and publisher cannot accept liability for damages arising from any error or omissions in the Journal or in this reprint. Please inform the editors of any errors. © The Author(s) 2022. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Giustino, G
Serrao, G W
Melarcode-Krishnamoorty, P
Vengrenyuk, A
Kyaw, H
Gidwani, U
Sharma, S K
Kini, A
Development of an app-based bedside clinical decision-making tool for mechanical cardiocirculatory support in patients with cardiogenic shock: the MCS-Aid app
title Development of an app-based bedside clinical decision-making tool for mechanical cardiocirculatory support in patients with cardiogenic shock: the MCS-Aid app
title_full Development of an app-based bedside clinical decision-making tool for mechanical cardiocirculatory support in patients with cardiogenic shock: the MCS-Aid app
title_fullStr Development of an app-based bedside clinical decision-making tool for mechanical cardiocirculatory support in patients with cardiogenic shock: the MCS-Aid app
title_full_unstemmed Development of an app-based bedside clinical decision-making tool for mechanical cardiocirculatory support in patients with cardiogenic shock: the MCS-Aid app
title_short Development of an app-based bedside clinical decision-making tool for mechanical cardiocirculatory support in patients with cardiogenic shock: the MCS-Aid app
title_sort development of an app-based bedside clinical decision-making tool for mechanical cardiocirculatory support in patients with cardiogenic shock: the mcs-aid app
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779758/
http://dx.doi.org/10.1093/ehjdh/ztac076.2791
work_keys_str_mv AT giustinog developmentofanappbasedbedsideclinicaldecisionmakingtoolformechanicalcardiocirculatorysupportinpatientswithcardiogenicshockthemcsaidapp
AT serraogw developmentofanappbasedbedsideclinicaldecisionmakingtoolformechanicalcardiocirculatorysupportinpatientswithcardiogenicshockthemcsaidapp
AT melarcodekrishnamoortyp developmentofanappbasedbedsideclinicaldecisionmakingtoolformechanicalcardiocirculatorysupportinpatientswithcardiogenicshockthemcsaidapp
AT vengrenyuka developmentofanappbasedbedsideclinicaldecisionmakingtoolformechanicalcardiocirculatorysupportinpatientswithcardiogenicshockthemcsaidapp
AT kyawh developmentofanappbasedbedsideclinicaldecisionmakingtoolformechanicalcardiocirculatorysupportinpatientswithcardiogenicshockthemcsaidapp
AT gidwaniu developmentofanappbasedbedsideclinicaldecisionmakingtoolformechanicalcardiocirculatorysupportinpatientswithcardiogenicshockthemcsaidapp
AT sharmask developmentofanappbasedbedsideclinicaldecisionmakingtoolformechanicalcardiocirculatorysupportinpatientswithcardiogenicshockthemcsaidapp
AT kinia developmentofanappbasedbedsideclinicaldecisionmakingtoolformechanicalcardiocirculatorysupportinpatientswithcardiogenicshockthemcsaidapp