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Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis
BACKGROUND: Modelling and simulation may become clinically applicable tools for detailed evaluation of the cardiovascular system and clinical decision-making to guide therapeutic intervention. Models based on pressure–volume relationship and zero-dimensional representation of the cardiovascular syst...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5930731/ https://www.ncbi.nlm.nih.gov/pubmed/29720187 http://dx.doi.org/10.1186/s12938-018-0491-7 |
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author | Capoccia, Massimo Marconi, Silvia Singh, Sanjeet Avtaar Pisanelli, Domenico M. De Lazzari, Claudio |
author_facet | Capoccia, Massimo Marconi, Silvia Singh, Sanjeet Avtaar Pisanelli, Domenico M. De Lazzari, Claudio |
author_sort | Capoccia, Massimo |
collection | PubMed |
description | BACKGROUND: Modelling and simulation may become clinically applicable tools for detailed evaluation of the cardiovascular system and clinical decision-making to guide therapeutic intervention. Models based on pressure–volume relationship and zero-dimensional representation of the cardiovascular system may be a suitable choice given their simplicity and versatility. This approach has great potential for application in heart failure where the impact of left ventricular assist devices has played a significant role as a bridge to transplant and more recently as a long-term solution for non eligible candidates. RESULTS: We sought to investigate the value of simulation in the context of three heart failure patients with a view to predict or guide further management. CARDIOSIM(©) was the software used for this purpose. The study was based on retrospective analysis of haemodynamic data previously discussed at a multidisciplinary meeting. The outcome of the simulations addressed the value of a more quantitative approach in the clinical decision process. CONCLUSIONS: Although previous experience, co-morbidities and the risk of potentially fatal complications play a role in clinical decision-making, patient-specific modelling may become a daily approach for selection and optimisation of device-based treatment for heart failure patients. Willingness to adopt this integrated approach may be the key to further progress. |
format | Online Article Text |
id | pubmed-5930731 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59307312018-05-09 Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis Capoccia, Massimo Marconi, Silvia Singh, Sanjeet Avtaar Pisanelli, Domenico M. De Lazzari, Claudio Biomed Eng Online Research BACKGROUND: Modelling and simulation may become clinically applicable tools for detailed evaluation of the cardiovascular system and clinical decision-making to guide therapeutic intervention. Models based on pressure–volume relationship and zero-dimensional representation of the cardiovascular system may be a suitable choice given their simplicity and versatility. This approach has great potential for application in heart failure where the impact of left ventricular assist devices has played a significant role as a bridge to transplant and more recently as a long-term solution for non eligible candidates. RESULTS: We sought to investigate the value of simulation in the context of three heart failure patients with a view to predict or guide further management. CARDIOSIM(©) was the software used for this purpose. The study was based on retrospective analysis of haemodynamic data previously discussed at a multidisciplinary meeting. The outcome of the simulations addressed the value of a more quantitative approach in the clinical decision process. CONCLUSIONS: Although previous experience, co-morbidities and the risk of potentially fatal complications play a role in clinical decision-making, patient-specific modelling may become a daily approach for selection and optimisation of device-based treatment for heart failure patients. Willingness to adopt this integrated approach may be the key to further progress. BioMed Central 2018-05-02 /pmc/articles/PMC5930731/ /pubmed/29720187 http://dx.doi.org/10.1186/s12938-018-0491-7 Text en © The Author(s) 2018 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 | Research Capoccia, Massimo Marconi, Silvia Singh, Sanjeet Avtaar Pisanelli, Domenico M. De Lazzari, Claudio Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis |
title | Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis |
title_full | Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis |
title_fullStr | Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis |
title_full_unstemmed | Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis |
title_short | Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis |
title_sort | simulation as a preoperative planning approach in advanced heart failure patients. a retrospective clinical analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5930731/ https://www.ncbi.nlm.nih.gov/pubmed/29720187 http://dx.doi.org/10.1186/s12938-018-0491-7 |
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