Literature DB >> 25547024

Numerical analysis of hemodynamic changes in the left atrium due to atrial fibrillation.

Ryo Koizumi1, Kenichi Funamoto2, Toshiyuki Hayase3, Yusuke Kanke1, Muneichi Shibata4, Yasuyuki Shiraishi5, Tomoyuki Yambe5.   

Abstract

Atrial fibrillation (AF) disrupts movement of the left atrium (LA) and worsens the vital prognosis by causing thromboembolism. Ultrasound Doppler measurement, phase-contrast magnetic resonance imaging (PC MRI), as well as computational fluid dynamics (CFD) have revealed hemodynamic changes in the LA due to AF, such as stagnation of blood flow in the left atrial appendage (LAA). However, quantitative evaluation of the hemodynamics during AF has not been conducted, and the effects of important AF characteristics, such as a lack of active contraction of the LA (atrial kick) in late diastole and the occurrence of high-frequency fibrillation (>400bpm) of the atrial wall, on blood flow field and concomitant hemodynamic stresses have not been completely understood. In this study, the effects of the above-mentioned two characteristic phenomena of AF on blood flow and hemodynamic parameters were quantitatively investigated. Based on MRI of a healthy volunteer heart, one healthy LA model and two AF models (one without atrial kick, and one without atrial kick and with high-frequency fibrillation) were constructed to perform hemodynamic analysis, and the computational results were compared. The results revealed that each characteristic phenomenon of AF influenced hemodynamics. Especially, atrial wall movement by high-frequency fibrillation had a large impact on the stagnation of blood flow. The relative residence time (RRT), which is an indicator of stagnation of blood flow, increased in the upper part of the LAA during AF. This result implies that there is a local thrombus-prone site in LAA when AF occurs.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; Computational fluid dynamics; Hemodynamics; Left atrium; Magnetic resonance imaging

Mesh:

Year:  2014        PMID: 25547024     DOI: 10.1016/j.jbiomech.2014.12.025

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  16 in total

1.  Inversion of Left Atrial Appendage Will Cause Compressive Stresses in the Tissue: Simulation Study of Potential Therapy.

Authors:  Salvatore Pasta; Julius M Guccione; Ghassan S Kassab
Journal:  J Pers Med       Date:  2022-05-27

2.  Computational Flow Dynamic Analysis of Right and Left Atria in Patent Foramen Ovale: Potential Links with Atrial Fibrillation.

Authors:  Gianluca Rigatelli; Marco Zuin; Alan Fong
Journal:  J Atr Fibrillation       Date:  2018-02-28

3.  Fluid-structure interaction in a fully coupled three-dimensional mitral-atrium-pulmonary model.

Authors:  Liuyang Feng; Hao Gao; Nan Qi; Mark Danton; Nicholas A Hill; Xiaoyu Luo
Journal:  Biomech Model Mechanobiol       Date:  2021-03-26

4.  Computational Fluid Dynamic Analysis of the Left Atrial Appendage to Predict Thrombosis Risk.

Authors:  Giorgia Maria Bosi; Andrew Cook; Rajan Rai; Leon J Menezes; Silvia Schievano; Ryo Torii; Gaetano Burriesci
Journal:  Front Cardiovasc Med       Date:  2018-04-04

5.  Modeling Left Atrial Flow, Energy, Blood Heating Distribution in Response to Catheter Ablation Therapy.

Authors:  Desmond Dillon-Murphy; David Marlevi; Bram Ruijsink; Ahmed Qureshi; Henry Chubb; Eric Kerfoot; Mark O'Neill; David Nordsletten; Oleg Aslanidi; Adelaide de Vecchi
Journal:  Front Physiol       Date:  2018-12-14       Impact factor: 4.566

6.  The Impact of Left Atrium Appendage Morphology on Stroke Risk Assessment in Atrial Fibrillation: A Computational Fluid Dynamics Study.

Authors:  Alessandro Masci; Lorenzo Barone; Luca Dedè; Marco Fedele; Corrado Tomasi; Alfio Quarteroni; Cristiana Corsi
Journal:  Front Physiol       Date:  2019-01-22       Impact factor: 4.566

7.  Numerical Study of Atrial Fibrillation Effects on Flow Distribution in Aortic Circulation.

Authors:  Amin Deyranlou; Josephine H Naish; Christopher A Miller; Alistair Revell; Amir Keshmiri
Journal:  Ann Biomed Eng       Date:  2020-01-14       Impact factor: 3.934

8.  A New MRI-Based Model of Heart Function with Coupled Hemodynamics and Application to Normal and Diseased Canine Left Ventricles.

Authors:  Young Joon Choi; Jason Constantino; Vijay Vedula; Natalia Trayanova; Rajat Mittal
Journal:  Front Bioeng Biotechnol       Date:  2015-09-23

9.  Correlation between impedance cardiography and 6 min walk distance in atrial fibrillation patients.

Authors:  Ling Ding; Xiao-Qing Quan; Shu Zhang; Lei Ruan; Le Zhang; Kai Zheng; Wei-Wei Yu; Xiao-Fen Wu; Tao Mi; Cun-Tai Zhang; Hong-Lian Zhou
Journal:  BMC Cardiovasc Disord       Date:  2016-06-10       Impact factor: 2.298

10.  Subject-Specific Calculation of Left Atrial Appendage Blood-Borne Particle Residence Time Distribution in Atrial Fibrillation.

Authors:  Soroosh Sanatkhani; Sotirios Nedios; Prahlad G Menon; Andreas Bollmann; Gerhard Hindricks; Sanjeev G Shroff
Journal:  Front Physiol       Date:  2021-05-11       Impact factor: 4.566

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