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Framework for patient-specific simulation of hemodynamics in heart failure with counterpulsation support

Despite being responsible for half of heart failure-related hospitalizations, heart failure with preserved ejection fraction (HFpEF) has limited evidence-based treatment options. Currently, a substantial clinical issue is that the disease etiology is very heterogenous with no patient-specific treatm...

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Autores principales: Arduini, Mattia, Pham, Jonathan, Marsden, Alison L., Chen, Ian Y., Ennis, Daniel B., Dual, Seraina A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376255/
https://www.ncbi.nlm.nih.gov/pubmed/35979018
http://dx.doi.org/10.3389/fcvm.2022.895291
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author Arduini, Mattia
Pham, Jonathan
Marsden, Alison L.
Chen, Ian Y.
Ennis, Daniel B.
Dual, Seraina A.
author_facet Arduini, Mattia
Pham, Jonathan
Marsden, Alison L.
Chen, Ian Y.
Ennis, Daniel B.
Dual, Seraina A.
author_sort Arduini, Mattia
collection PubMed
description Despite being responsible for half of heart failure-related hospitalizations, heart failure with preserved ejection fraction (HFpEF) has limited evidence-based treatment options. Currently, a substantial clinical issue is that the disease etiology is very heterogenous with no patient-specific treatment options. Modeling can provide a framework for evaluating alternative treatment strategies. Counterpulsation strategies have the capacity to improve left ventricular diastolic filling by reducing systolic blood pressure and augmenting the diastolic pressure that drives coronary perfusion. Here, we propose a framework for testing the effectiveness of a soft robotic extra-aortic counterpulsation strategy using a patient-specific closed-loop hemodynamic lumped parameter model of a patient with HFpEF. The soft robotic device prototype was characterized experimentally in a physiologically pressurized (50–150 mmHg) soft silicone vessel and modeled as a combination of a pressure source and a capacitance. The patient-specific model was created using open-source software and validated against hemodynamics obtained by imaging of a patient (male, 87 years, HR = 60 bpm) with HFpEF. The impact of actuation timing on the flows and pressures as well as systolic function was analyzed. Good agreement between the patient-specific model and patient data was achieved with relative errors below 5% in all categories except for the diastolic aortic root pressure and the end systolic volume. The most effective reduction in systolic pressure compared to baseline (147 vs. 141 mmHg) was achieved when actuating 350 ms before systole. In this case, flow splits were preserved, and cardiac output was increased (5.17 vs. 5.34 L/min), resulting in increased blood flow to the coronaries (0.15 vs. 0.16 L/min). Both arterial elastance (0.77 vs. 0.74 mmHg/mL) and stroke work (11.8 vs. 10.6 kJ) were decreased compared to baseline, however left atrial pressure increased (11.2 vs. 11.5 mmHg). A higher actuation pressure is associated with higher systolic pressure reduction and slightly higher coronary flow. The soft robotic device prototype achieves reduced systolic pressure, reduced stroke work, slightly increased coronary perfusion, but increased left atrial pressures in HFpEF patients. In future work, the framework could include additional physiological mechanisms, a larger patient cohort with HFpEF, and testing against clinically used devices.
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spelling pubmed-93762552022-08-16 Framework for patient-specific simulation of hemodynamics in heart failure with counterpulsation support Arduini, Mattia Pham, Jonathan Marsden, Alison L. Chen, Ian Y. Ennis, Daniel B. Dual, Seraina A. Front Cardiovasc Med Cardiovascular Medicine Despite being responsible for half of heart failure-related hospitalizations, heart failure with preserved ejection fraction (HFpEF) has limited evidence-based treatment options. Currently, a substantial clinical issue is that the disease etiology is very heterogenous with no patient-specific treatment options. Modeling can provide a framework for evaluating alternative treatment strategies. Counterpulsation strategies have the capacity to improve left ventricular diastolic filling by reducing systolic blood pressure and augmenting the diastolic pressure that drives coronary perfusion. Here, we propose a framework for testing the effectiveness of a soft robotic extra-aortic counterpulsation strategy using a patient-specific closed-loop hemodynamic lumped parameter model of a patient with HFpEF. The soft robotic device prototype was characterized experimentally in a physiologically pressurized (50–150 mmHg) soft silicone vessel and modeled as a combination of a pressure source and a capacitance. The patient-specific model was created using open-source software and validated against hemodynamics obtained by imaging of a patient (male, 87 years, HR = 60 bpm) with HFpEF. The impact of actuation timing on the flows and pressures as well as systolic function was analyzed. Good agreement between the patient-specific model and patient data was achieved with relative errors below 5% in all categories except for the diastolic aortic root pressure and the end systolic volume. The most effective reduction in systolic pressure compared to baseline (147 vs. 141 mmHg) was achieved when actuating 350 ms before systole. In this case, flow splits were preserved, and cardiac output was increased (5.17 vs. 5.34 L/min), resulting in increased blood flow to the coronaries (0.15 vs. 0.16 L/min). Both arterial elastance (0.77 vs. 0.74 mmHg/mL) and stroke work (11.8 vs. 10.6 kJ) were decreased compared to baseline, however left atrial pressure increased (11.2 vs. 11.5 mmHg). A higher actuation pressure is associated with higher systolic pressure reduction and slightly higher coronary flow. The soft robotic device prototype achieves reduced systolic pressure, reduced stroke work, slightly increased coronary perfusion, but increased left atrial pressures in HFpEF patients. In future work, the framework could include additional physiological mechanisms, a larger patient cohort with HFpEF, and testing against clinically used devices. Frontiers Media S.A. 2022-08-01 /pmc/articles/PMC9376255/ /pubmed/35979018 http://dx.doi.org/10.3389/fcvm.2022.895291 Text en Copyright © 2022 Arduini, Pham, Marsden, Chen, Ennis and Dual. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Arduini, Mattia
Pham, Jonathan
Marsden, Alison L.
Chen, Ian Y.
Ennis, Daniel B.
Dual, Seraina A.
Framework for patient-specific simulation of hemodynamics in heart failure with counterpulsation support
title Framework for patient-specific simulation of hemodynamics in heart failure with counterpulsation support
title_full Framework for patient-specific simulation of hemodynamics in heart failure with counterpulsation support
title_fullStr Framework for patient-specific simulation of hemodynamics in heart failure with counterpulsation support
title_full_unstemmed Framework for patient-specific simulation of hemodynamics in heart failure with counterpulsation support
title_short Framework for patient-specific simulation of hemodynamics in heart failure with counterpulsation support
title_sort framework for patient-specific simulation of hemodynamics in heart failure with counterpulsation support
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376255/
https://www.ncbi.nlm.nih.gov/pubmed/35979018
http://dx.doi.org/10.3389/fcvm.2022.895291
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