Evidence map›Paper›PMID 40204915›Full record

ArticleScientific reports2025

Understanding embolus transport and source to destination mapping of thromboemboli in hemodynamics driven by left ventricular assist device.

Sreeparna Majee, Akshita Sahni, Jay D Pal, Erin E McIntyre, Debanjan Mukherjee

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Sreeparna MajeePaul M Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, USA.
Akshita SahniPaul M Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, USA.
Jay D PalDepartment of Surgery, University of Washington Seattle, Seattle, USA.
Erin E McIntyreDivision of Cardiothoracic Surgery, University of Colorado, Anschutz Medical Campus, Colorado, USA.
Debanjan MukherjeePaul M Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, USA. debanjan@Colorado.Edu.

Funding

In Silico Mapping of the Heart-Brain Embolus Transport Pathway for StrokeR21EB029736 · NIBIB · UNIVERSITY OF COLORADO · PI MUKHERJEE, DEBANJAN · 2020 to 2020
$584k
National Science Foundation ACI-1532235NIBIB NIH HHS R21 EB029736NIH HHS R21EB029736University of Colorado AB Nexus Research Collaboration Grant
6 · The paper itself

Abstract

Left Ventricular Assist Devices (LVADs) are a key treatment option for patients with advanced heart failure, but they carry a significant risk of thromboembolic complications. While improved LVAD design, and systemic anticoagulation regimen, have helped mitigate thromboembolic risks, ischemic stroke due to adverse thromboembolic events remains a major concern with current LVAD therapies. Improved understanding of embolic events, and embolus movement to the brain, is critical to develop techniques to minimize risks of occlusive embolic events such as a stroke after LVAD implantation. Here, we address this need, and devise a quantitative in silico framework to characterize thromboembolus transport and distrbution in hemodynamics driven by an operating LVAD. We conduct systematic numerical experiments to establish that our framework can quantify the source-to-destination transport patterns of thromboemboli as a function of: LVAD outflow graft anastomosis, LVAD operating pulse modulation, thromboembolus sizes, and origin locations of emboli. Additionally, we demonstrate how the resulting embolus distribution patterns compare and correlate with descriptors based solely on hemodynamic patterns such as helicity, vorticity, and wall shear stress. Using the concepts of size-dependent embolus-hemodynamics interactions, and jet impingement driven flow for hemodynamics under LVAD operation as established in our prior works, we gain valuable insights on departure of thromboembolus distribution from flow distribution, and establish that our in silico model can generate deep insights into embolus dynamics which is not otherwise available from standard of care imaging and clinical data.

Indexed as

Heart-Assist DevicesHemodynamicsThromboembolismComputer SimulationHeart FailureHumansModels, CardiovascularEmbolismHeart FailureHemodynamicsLeft Ventricular Assist DeviceStroke

Identifiers

PMID40204915
PMCPMC11982188

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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.