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dc.contributor.author
Grinstein, Jonathan  
dc.contributor.author
Blanco, Pablo J.  
dc.contributor.author
Bulant, Carlos Alberto  
dc.contributor.author
Torii, Ryo  
dc.contributor.author
Bourantas, Christos V.  
dc.contributor.author
Lemos, Pedro A.  
dc.contributor.author
Garcia Garcia, Hector M.  
dc.date.available
2023-11-03T15:45:46Z  
dc.date.issued
2022-10  
dc.identifier.citation
Grinstein, Jonathan; Blanco, Pablo J.; Bulant, Carlos Alberto; Torii, Ryo; Bourantas, Christos V.; et al.; A computational study of aortic insufficiency in patients supported with continuous flow left ventricular assist devices: Is it time for a paradigm shift in management?; Frontiers Media; Frontiers in Cardiovascular Medicine; 9; 10-2022; 1-13  
dc.identifier.issn
2297-055X  
dc.identifier.uri
http://hdl.handle.net/11336/216962  
dc.description.abstract
Background: De novo aortic insufficiency (AI) following continuous flow left ventricular assist device (CF-LVAD) implantation is a common complication. Traditional early management utilizes speed augmentation to overcome the regurgitant flow in an attempt to augment net forward flow, but this strategy increases the aortic transvalvular gradient which predisposes the patient to progressive aortic valve pathology and may have deleterious effects on aortic shear stress and right ventricular (RV) function. Materials and methods: We employed a closed-loop lumped-parameter mathematical model of the cardiovascular system including the four cardiac chambers with corresponding valves, pulmonary and systemic circulations, and the LVAD. The model is used to generate boundary conditions which are prescribed in blood flow simulations performed in a three-dimensional (3D) model of the ascending aorta, aortic arch, and thoracic descending aorta. Using the models, impact of various patient management strategies, including speed augmentation and pharmacological treatment on systemic and pulmonary (PA) vasculature, were investigated for four typical phenotypes of LVAD patients with varying degrees of RV to PA coupling and AI severity. Results: The introduction of mild/moderate or severe AI to the coupled RV and pulmonary artery at a speed of 5,500 RPM led to a reduction in net flow from 5.4 L/min (no AI) to 4.5 L/min (mild/moderate) to 2.1 L/min (severe). RV coupling ratio (Ees/Ea) decreased from 1.01 (no AI) to 0.96 (mild/moderate) to 0.76 (severe). Increasing LVAD speed to 6,400 RPM in the severe AI and coupled scenario, led to a 42% increase in net flow and a 16% increase in regurgitant flow (RF) with a nominal decrease of 1.6% in RV myocardial oxygen consumption (MVO2). Blood pressure control with the coupled RV with severe AI at 5,500 RPM led to an 81% increase in net flow with a 15% reduction of RF and an 8% reduction in RV MVO2. With an uncoupled RV, the introduction of mild/moderate or severe AI at a speed of 5,500 RPM led to a reduction in net flow from 5.0 L/min (no AI) to 4.0 L/min (mild/moderate) to 1.8 L/min (severe). Increasing the speed to 6,400 RPM with severe AI and an uncoupled RV increased net flow by 45%, RF by 15% and reduced RV MVO2 by 1.1%. For the uncoupled RV with severe AI, blood pressure control alone led to a 22% increase in net flow, 4.2% reduction in RF, and 3.9% reduction in RV MVO2; pulmonary vasodilation alone led to a 18% increase in net flow, 7% reduction in RF, and 26% reduction in RV MVO2; whereas, combined BP control and pulmonary vasodilation led to a 113% increase in net flow, 20% reduction in RF and 31% reduction in RV MVO2. Compared to speed augmentation, blood pressure control consistently resulted in a reduction in WSS throughout the proximal regions of the arterial system. Conclusion: Speed augmentation to overcome AI in patients supported by CF-LVAD appears to augment flow but also increases RF and WSS in the aorta, and reduces RV MVO2. Aggressive blood pressure control and pulmonary vasodilation, particularly in those patients with an uncoupled RV can improve net flow with more advantageous effects on the RV and AI RF.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Frontiers Media  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
AORTIC INSUFFICIENCY (AI)  
dc.subject
COMPUTATIONAL FLUID DYNAMICS  
dc.subject
LEFT VENTRICULAR ASSIST DEVICE (LVAD)  
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MYOCARDIAL EFFICIENCY  
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RIGHT VENTRICULAR (RV) FUNCTION  
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Otras Ingeniería Médica  
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Ingeniería Médica  
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INGENIERÍAS Y TECNOLOGÍAS  
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Otras Ciencias de la Computación e Información  
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Ciencias de la Computación e Información  
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CIENCIAS NATURALES Y EXACTAS  
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Radiología, Medicina Nuclear y Diagnóstico por Imágenes  
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Medicina Clínica  
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CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
A computational study of aortic insufficiency in patients supported with continuous flow left ventricular assist devices: Is it time for a paradigm shift in management?  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-11-02T14:40:30Z  
dc.journal.volume
9  
dc.journal.pagination
1-13  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Grinstein, Jonathan. University of Chicago; Estados Unidos  
dc.description.fil
Fil: Blanco, Pablo J.. No especifíca;  
dc.description.fil
Fil: Bulant, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina  
dc.description.fil
Fil: Torii, Ryo. Colegio Universitario de Londres; Reino Unido  
dc.description.fil
Fil: Bourantas, Christos V.. No especifíca;  
dc.description.fil
Fil: Lemos, Pedro A.. Universidade de Sao Paulo; Brasil  
dc.description.fil
Fil: Garcia Garcia, Hector M.. No especifíca;  
dc.journal.title
Frontiers in Cardiovascular Medicine  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fcvm.2022.933321/full  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3389/fcvm.2022.933321