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Understanding and recognition of the right ventricular function and dysfunction via a numerical study
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881145/ https://www.ncbi.nlm.nih.gov/pubmed/33580128 http://dx.doi.org/10.1038/s41598-021-82567-9 |
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author | Comunale, Giulia Peruzzo, Paolo Castaldi, Biagio Razzolini, Renato Di Salvo, Giovanni Padalino, Massimo A. Susin, Francesca M. |
author_facet | Comunale, Giulia Peruzzo, Paolo Castaldi, Biagio Razzolini, Renato Di Salvo, Giovanni Padalino, Massimo A. Susin, Francesca M. |
author_sort | Comunale, Giulia |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-7881145 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78811452021-02-16 Understanding and recognition of the right ventricular function and dysfunction via a numerical study Comunale, Giulia Peruzzo, Paolo Castaldi, Biagio Razzolini, Renato Di Salvo, Giovanni Padalino, Massimo A. Susin, Francesca M. Sci Rep Article 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. Nature Publishing Group UK 2021-02-12 /pmc/articles/PMC7881145/ /pubmed/33580128 http://dx.doi.org/10.1038/s41598-021-82567-9 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Comunale, Giulia Peruzzo, Paolo Castaldi, Biagio Razzolini, Renato Di Salvo, Giovanni Padalino, Massimo A. Susin, Francesca M. Understanding and recognition of the right ventricular function and dysfunction via a numerical study |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881145/ https://www.ncbi.nlm.nih.gov/pubmed/33580128 http://dx.doi.org/10.1038/s41598-021-82567-9 |
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