Evidence map›Paper›PMID 31454470›Full record

ArticleInternational journal for numerical methods in biomedical engineering2019

Analysis of a coupled fluid-structure interaction model of the left atrium and mitral valve.

Liuyang Feng, Hao Gao, Boyce Griffith, Steven Niederer, Xiaoyu Luo

Open access · hybridAbstract read
In one paragraph

Article in International journal for numerical methods in biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.9field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Feasibility of concomitant exclusion of left atrial appendage during novel transapical off-pump beating heart mitral valve repair.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Machine Learning and the Conundrum of Stroke Risk Prediction.Arrhythmia & electrophysiology review · 2023
    Review
  16. Article
  17. Clinical Impact of Computational Heart Valve Models.Materials (Basel, Switzerland) · 2022
    Review
  18. Review
  19. Article
  20. A poroelastic immersed finite element framework for modelling cardiac perfusion and fluid-structure interaction.International journal for numerical methods in biomedical engineering · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Liuyang FengSchool of Mathematics and Statistics, University of Glasgow, Glasgow, UK.
Hao GaoSchool of Mathematics and Statistics, University of Glasgow, Glasgow, UK.ORCID 0000-0001-6852-9435
Boyce GriffithDepartments of Mathematics, Applied Physical Sciences, and Biomedical Engineering, University of North Carolina, Chapel Hill, North Carolina, USA.
Steven NiedererDepartment of Biomedical Engineering, King's College London, London, UK.
Xiaoyu LuoSchool of Mathematics and Statistics, University of Glasgow, Glasgow, UK.ORCID 0000-0002-8753-4210
University of Glasgow · GBApplied Physical Sciences (United States) · USKing's College London · GB

Funding

Multiscale Modeling of Clotting Risk in Atrial FibrillationU01HL143336 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GRIFFITH, BOYCE EUGENE · 2018 to 2022
$2.8M
NHLBI NIH HHS U01 HL143336
6 · The paper itself

Abstract

We present a coupled left atrium-mitral valve model based on computed tomography scans with fibre-reinforced hyperelastic materials. Fluid-structure interaction is realised by using an immersed boundary-finite element framework. Effects of pathological conditions, eg, mitral valve regurgitation and atrial fibrillation, and geometric and structural variations, namely, uniform vs non-uniform atrial wall thickness and rule-based vs atlas-based fibre architectures, on the system are investigated. We show that in the case of atrial fibrillation, pulmonary venous flow reversal at late diastole disappears, and the filling waves at the left atrial appendage orifice during systole have reduced magnitude. In the case of mitral regurgitation, a higher atrial pressure and disturbed flows are seen, especially during systole, when a large regurgitant jet can be found with the suppressed pulmonary venous flow. We also show that both the rule-based and atlas-based fibre defining methods lead to similar flow fields and atrial wall deformations. However, the changes in wall thickness from non-uniform to uniform tend to underestimate the atrial deformation. Using a uniform but thickened wall also lowers the overall strain level. The flow velocity within the left atrial appendage, which is important in terms of appendage thrombosis, increases with the thickness of the left atrial wall. Energy analysis shows that the kinetic and dissipation energies of the flow within the left atrium are altered differently by atrial fibrillation and mitral valve regurgitation, providing a useful indication of the atrial performance in pathological situations.

Indexed as

Models, CardiovascularAtrial FibrillationBlood Flow VelocityFinite Element AnalysisHeart AtriaHumansMitral ValveTomography, X-Ray Computedatrial fibrillationfibre-reinforced hyperelastic materialfibre structurefluid-structure interactionleft atrial appendageleft atriummitral regurgitationmitral valve

Identifiers

PMID31454470
PMCPMC7003446
OpenAlexW2971347747

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.