Soft robotics-enabled large animal model of HFpEF hemodynamics for device testing
Soft robotics-enabled large animal model of HFpEF hemodynamics for device testing
Heart failure with preserved ejection fraction (HFpEF) is a major challenge in cardiovascular medicine, accounting for approximately 50% of all cases of heart failure. Due to the lack of effective therapies for this condition, the mortality associated with HFpEF remains higher than that of most cancers. Despite the ongoing efforts, no medical device has yet received FDA approval. This is largely due to the lack of an in vivo model of the HFpEF hemodynamics, resulting in the inability to evaluate device effectiveness in vivo prior to clinical trials. Here, we describe the development of a highly tunable porcine model of HFpEF hemodynamics using implantable soft robotic sleeves, where controlled actuation of a left ventricular and an aortic sleeve can recapitulate changes in ventricular compliance and afterload associated with a broad spectrum of HFpEF hemodynamic phenotypes. We demonstrate the feasibility of the proposed model in preclinical testing by evaluating the hemodynamic response of the model post-implantation of an interatrial shunt device, which was found to be consistent with findings from in silico studies and clinical trials. This work addresses several of the limitations associated with previous models of HFpEF, such as their limited hemodynamic fidelity, elevated costs, lengthy development time, and low throughput. By showcasing exceptional versatility and tunability, the proposed platform has the potential to revolutionize the current approach for HFpEF device development and selection, with the goal of improving the quality of life for the 32 million people affected by HFpEF worldwide.
Rosalia, Luca
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Ozturk, Caglar
70bbd3bd-fc56-48e8-8b5e-00d5270c1526
Wang, Sophie X
f9873600-3507-4a6f-93b0-a96069aba629
Quevedo-Moreno, Diego
2fd1ff58-266d-4d02-9679-07c731da27ef
Saeed, Mossab Y
2eacf684-6317-4490-b92f-34f562326b09
Mauskapf, Adam
4f29c01f-7dbe-496b-ab87-f42705d709e6
Roche, Ellen T
63e632c8-d821-4c2f-a728-aaf331a5c2a1
29 July 2023
Rosalia, Luca
e3f00c11-aa4f-4454-ba25-cd0fd5cfb20a
Ozturk, Caglar
70bbd3bd-fc56-48e8-8b5e-00d5270c1526
Wang, Sophie X
f9873600-3507-4a6f-93b0-a96069aba629
Quevedo-Moreno, Diego
2fd1ff58-266d-4d02-9679-07c731da27ef
Saeed, Mossab Y
2eacf684-6317-4490-b92f-34f562326b09
Mauskapf, Adam
4f29c01f-7dbe-496b-ab87-f42705d709e6
Roche, Ellen T
63e632c8-d821-4c2f-a728-aaf331a5c2a1
[Unknown type: UNSPECIFIED]
Abstract
Heart failure with preserved ejection fraction (HFpEF) is a major challenge in cardiovascular medicine, accounting for approximately 50% of all cases of heart failure. Due to the lack of effective therapies for this condition, the mortality associated with HFpEF remains higher than that of most cancers. Despite the ongoing efforts, no medical device has yet received FDA approval. This is largely due to the lack of an in vivo model of the HFpEF hemodynamics, resulting in the inability to evaluate device effectiveness in vivo prior to clinical trials. Here, we describe the development of a highly tunable porcine model of HFpEF hemodynamics using implantable soft robotic sleeves, where controlled actuation of a left ventricular and an aortic sleeve can recapitulate changes in ventricular compliance and afterload associated with a broad spectrum of HFpEF hemodynamic phenotypes. We demonstrate the feasibility of the proposed model in preclinical testing by evaluating the hemodynamic response of the model post-implantation of an interatrial shunt device, which was found to be consistent with findings from in silico studies and clinical trials. This work addresses several of the limitations associated with previous models of HFpEF, such as their limited hemodynamic fidelity, elevated costs, lengthy development time, and low throughput. By showcasing exceptional versatility and tunability, the proposed platform has the potential to revolutionize the current approach for HFpEF device development and selection, with the goal of improving the quality of life for the 32 million people affected by HFpEF worldwide.
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Published date: 29 July 2023
Identifiers
Local EPrints ID: 490905
URI: http://eprints.soton.ac.uk/id/eprint/490905
PURE UUID: 94b7a6e6-cb02-47dc-b7c8-1c2171bcac0a
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Date deposited: 07 Jun 2024 17:48
Last modified: 08 Jun 2024 02:11
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Contributors
Author:
Luca Rosalia
Author:
Caglar Ozturk
Author:
Sophie X Wang
Author:
Diego Quevedo-Moreno
Author:
Mossab Y Saeed
Author:
Adam Mauskapf
Author:
Ellen T Roche
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