Evidence map›Paper›PMID 37016277›Full record

ArticleInternational journal for numerical methods in biomedical engineering2023

A model of fluid-structure and biochemical interactions for applications to subclinical leaflet thrombosis.

Aaron Barrett, Jordan A Brown, Margaret Anne Smith, Andrew Woodward, John P Vavalle, Arash Kheradvar, Boyce E Griffith, Aaron L Fogelson

Open access · greenAbstract read
In one paragraph

Article in International journal for numerical methods in biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

8 authors at 4 institutions in 1 country.

Aaron BarrettDepartment of Mathematics, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0002-3518-0369
Jordan A BrownDepartment of Mathematics, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID 0000-0003-3057-0330
Margaret Anne SmithDepartment of Mathematics, University of North Carolina, Chapel Hill, North Carolina, USA.
Andrew WoodwardAdvanced Medical Imaging Lab, University of North Carolina Medical Center, Chapel Hill, North Carolina, USA.
John P VavalleUniversity of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Arash KheradvarDepartment of Biomedical Engineering, University of California Irvine, Irvine, California, USA.ORCID 0000-0003-3864-1359
Boyce E GriffithDepartments of Mathematics, Applied Physical Sciences, and Biomedical Engineering, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID 0000-0002-9800-7504
Aaron L FogelsonDepartments of Mathematics and Biomedical Engineering, University of Utah, Salt Lake City, Utah, USA.
University of North Carolina at Chapel Hill · USUniversity of Utah · USAdvanced Imaging Research (United States) · USUniversity of California, Irvine · US

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
Computational and Experimental Modeling of Subclinical Leaflet Thrombosis in Bioprosthetic Aortic ValvesR01HL157631 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FOGELSON, AARON L, GRIFFITH, BOYCE EUGENE · 2022 to 2025
$2.7M
NHLBI NIH HHS R01 HL157631NHLBI NIH HHS U01 HL143336
6 · The paper itself

Abstract

Subclinical leaflet thrombosis (SLT) is a potentially serious complication of aortic valve replacement with a bioprosthetic valve in which blood clots form on the replacement valve. SLT is associated with increased risk of transient ischemic attacks and strokes and can progress to clinical leaflet thrombosis. SLT following aortic valve replacement also may be related to subsequent structural valve deterioration, which can impair the durability of the valve replacement. Because of the difficulty in clinical imaging of SLT, models are needed to determine the mechanisms of SLT and could eventually predict which patients will develop SLT. To this end, we develop methods to simulate leaflet thrombosis that combine fluid-structure interaction and a simplified thrombosis model that allows for deposition along the moving leaflets. Additionally, this model can be adapted to model deposition or absorption along other moving boundaries. We present convergence results and quantify the model's ability to realize changes in valve opening and pressures. These new approaches are an important advancement in our tools for modeling thrombosis because they incorporate both adhesion to the surface of the moving leaflets and feedback to the fluid-structure interaction.

Indexed as

Aortic Valve StenosisHeart Valve ProsthesisThrombosisTranscatheter Aortic Valve ReplacementAortic ValveHumanscardiac fluid dynamicsfluid-structure interactionleaflet thrombosisnumerical methods

Identifiers

PMID37016277
PMCPMC10691439
OpenAlexW4362602553

What OpenQuestion holds

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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.