Understanding and recognition of the right ventricular function and dysfunction via a numerical study

Abstract The role played by the right ventricular (RV) dysfunction has long been underestimated in clinical practice. Recent findings are progressively confirming that when the RV efficiency deteriorates both the right and the left circulation is (significantly) affected, but studies dedicated to a...

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Autores principales:	Giulia Comunale, Paolo Peruzzo, Biagio Castaldi, Renato Razzolini, Giovanni Di Salvo, Massimo A. Padalino, Francesca M. Susin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e55fe06d5a7746e48ba8ad3f75dae3c5
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spelling	oai:doaj.org-article:e55fe06d5a7746e48ba8ad3f75dae3c52021-12-02T13:30:22ZUnderstanding and recognition of the right ventricular function and dysfunction via a numerical study10.1038/s41598-021-82567-92045-2322https://doaj.org/article/e55fe06d5a7746e48ba8ad3f75dae3c52021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82567-9https://doaj.org/toc/2045-2322Abstract The role played by the right ventricular (RV) dysfunction has long been underestimated in clinical practice. Recent findings are progressively confirming that when the RV efficiency deteriorates both the right and the left circulation is (significantly) affected, but studies dedicated to a detailed description of RV hemodynamic role still lack. In response to such a gap in knowledge, this work proposes a numerical model that for the first time evaluates the effect of isolated RV dysfunction on the whole circulation. Lumped parameter modelling was applied to represent the physio-pathological hemodynamics. Different grades of impairment were simulated for three dysfunctions i.e., systolic, diastolic, and combined systolic and diastolic. Hemodynamic alterations (i.e., of blood pressure, flow, global hemodynamic parameters), arising from the dysfunctions, are calculated and analysed. Results well accord with clinical observations, showing that RV dysfunction significantly affects both the pulmonary and systemic hemodynamics. Successful verification against in vivo data proved the clinical potentiality of the model i.e., the capability of identifying the degree of RV impairment for given hemodynamic conditions. This study aims at contributing to the improvement of RV dysfunction recognition and treatment, and to the development of tools for the clinical management of pathologies involving the right heart.Giulia ComunalePaolo PeruzzoBiagio CastaldiRenato RazzoliniGiovanni Di SalvoMassimo A. PadalinoFrancesca M. SusinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Giulia Comunale Paolo Peruzzo Biagio Castaldi Renato Razzolini Giovanni Di Salvo Massimo A. Padalino Francesca M. Susin Understanding and recognition of the right ventricular function and dysfunction via a numerical study
description	Abstract The role played by the right ventricular (RV) dysfunction has long been underestimated in clinical practice. Recent findings are progressively confirming that when the RV efficiency deteriorates both the right and the left circulation is (significantly) affected, but studies dedicated to a detailed description of RV hemodynamic role still lack. In response to such a gap in knowledge, this work proposes a numerical model that for the first time evaluates the effect of isolated RV dysfunction on the whole circulation. Lumped parameter modelling was applied to represent the physio-pathological hemodynamics. Different grades of impairment were simulated for three dysfunctions i.e., systolic, diastolic, and combined systolic and diastolic. Hemodynamic alterations (i.e., of blood pressure, flow, global hemodynamic parameters), arising from the dysfunctions, are calculated and analysed. Results well accord with clinical observations, showing that RV dysfunction significantly affects both the pulmonary and systemic hemodynamics. Successful verification against in vivo data proved the clinical potentiality of the model i.e., the capability of identifying the degree of RV impairment for given hemodynamic conditions. This study aims at contributing to the improvement of RV dysfunction recognition and treatment, and to the development of tools for the clinical management of pathologies involving the right heart.
format	article
author	Giulia Comunale Paolo Peruzzo Biagio Castaldi Renato Razzolini Giovanni Di Salvo Massimo A. Padalino Francesca M. Susin
author_facet	Giulia Comunale Paolo Peruzzo Biagio Castaldi Renato Razzolini Giovanni Di Salvo Massimo A. Padalino Francesca M. Susin
author_sort	Giulia Comunale
title	Understanding and recognition of the right ventricular function and dysfunction via a numerical study
title_short	Understanding and recognition of the right ventricular function and dysfunction via a numerical study
title_full	Understanding and recognition of the right ventricular function and dysfunction via a numerical study
title_fullStr	Understanding and recognition of the right ventricular function and dysfunction via a numerical study
title_full_unstemmed	Understanding and recognition of the right ventricular function and dysfunction via a numerical study
title_sort	understanding and recognition of the right ventricular function and dysfunction via a numerical study
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e55fe06d5a7746e48ba8ad3f75dae3c5
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Understanding and recognition of the right ventricular function and dysfunction via a numerical study

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