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PMID: 37352639 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Pulmonary vein flow split effects in patient-specific simulations of left atrial flow.

Computers in biology and medicine ·Vol. 163 ·2023-00-00 ·页码 107128

Durán E, García-Villalba M, Martínez-Legazpi P, Gonzalo A, McVeigh E, Kahn AM, Bermejo J, Flores O, Del Álamo JC

Abstract

Disruptions to left atrial (LA) blood flow, such as those caused by atrial fibrillation (AF), can lead to thrombosis in the left atrial appendage (LAA) and an increased risk of systemic embolism. LA hemodynamics are influenced by various factors, including LA anatomy and function, and pulmonary vein (PV) inflow conditions. In particular, the PV flow split can vary significantly among and within patients depending on multiple factors. In this study, we investigated how changes in PV flow split affect LA flow transport, focusing for the first time on blood stasis in the LAA, using a high-fidelity patient-specific computational fluid dynamics (CFD) model. We use an Immersed Boundary Method, simulating the flow in a fixed, uniform Cartesian mesh and imposing the movement of the LA walls with a moving Lagrangian mesh generated from 4D Computerized Tomography images. We analyzed LA anatomies from eight patients with varying atrial function, including three with AF and either a LAA thrombus or a history of Transient Ischemic Attacks (TIAs). Using four different flow splits (60/40% and 55/45% through right and left PVs, even flow rate, and same velocity through each PV), we found that flow patterns are sensitive to PV flow split variations, particularly in planes parallel to the mitral valve. Changes in PV flow split also had a significant impact on blood stasis and could contribute to increased risk for thrombosis inside the LAA, particularly in patients with AF and previous LAA thrombus or a history of TIAs. Our study highlights the importance of considering patient-specific PV flow split variations when assessing LA hemodynamics and identifying patients at increased risk for thrombosis and stroke. This knowledge is relevant to planning clinical procedures such as AF ablation or the implementation of LAA occluders.

Keywords
Cardiovascular flows Computational fluid dynamics Image-based simulation Left atrium Pulmonary veins Thrombosis
MeSH 主题词
Humans Atrial Appendage Atrial Fibrillation Pulmonary Veins/diagnostic imaging Heart Atria/diagnostic imaging Hemodynamics
作者与单位
共 9 位作者,点击展开单位 / ORCID
Durán Eduardo
Department of Mechanical, Thermal and Fluids Engineering, Universidad de Málaga, Málaga, Spain; Department of Aerospace Engineering, University Carlos III of Madrid, Leganés, Spain. Electronic address: [email protected].
García-Villalba Manuel
Institute of Fluid Mechanics and Heat Transfer, TU Wien, Vienna, Austria.
Martínez-Legazpi Pablo
Department of Mathematical Physics and Fluids, Universidad Nacional de Educación a Distancia, Madrid, Spain.
Gonzalo Alejandro
Department of Mechanical Engineering, University of Washington, Seattle, WA, United States.
McVeigh Elliot
Department of Bioengineering, University of California San Diego, La Jolla, CA, United States; Department of Radiology, University of California San Diego, La Jolla, CA, United States.
Kahn Andrew M
Division of Cardiovascular Medicine, University of California San Diego, La Jolla, CA, United States.
Bermejo Javier
Gregorio Marañón University Hospital, Madrid, Spain; Spanish Cardiovascular Network (CIBERCV), Carlos III Health Institute, Madrid, Spain; Faculty of Medicine, Complutense University, Madrid, Spain; Gregorio Marañón Health Research Institute (IISGM), Madrid, Spain.
Flores Oscar
Department of Aerospace Engineering, University Carlos III of Madrid, Leganés, Spain.
Del Álamo Juan Carlos
Department of Mechanical Engineering, University of Washington, Seattle, WA, United States; Center for Cardiovascular Biology, University of Washington, Seattle, WA, United States; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, United States.
Article Info
Journal
Computers in biology and medicine
Abbr.
Comput Biol Med
ISSN
1879-0534
Corresponding email
Published
2023-00-00
电子出版
2023-00-12
页码
107128
Language
English
Country/Region
United States
NLM ID
1250250
基金资助
NHLBI NIH HHS · R01 HL158667 · United States
NHLBI NIH HHS · R01 HL160024 · United States
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