Evidence map›Paper›PMID 39325818›Full record

ArticlePLoS computational biology2024

Impact of occluder device configurations in in-silico left atrial hemodynamics for the analysis of device-related thrombus.

Carlos Albors, Jordi Mill, Andy L Olivares, Xavier Iriart, Hubert Cochet, Oscar Camara

Abstract read
In one paragraph

Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
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  3. Review
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  5. 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

6 authors.

Carlos AlborsPhysense, BCN Medtech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, 08018 Barcelona, Spain.ORCID 0000-0002-9229-9518
Jordi MillPhysense, BCN Medtech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, 08018 Barcelona, Spain.
Andy L OlivaresPhysense, BCN Medtech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, 08018 Barcelona, Spain.ORCID 0000-0002-7284-0696
Xavier IriartIHU Liryc, CHU Bordeaux, Université Bordeaux, Inserm, Pessac, France.
Hubert CochetIHU Liryc, CHU Bordeaux, Université Bordeaux, Inserm, Pessac, France.
Oscar CamaraPhysense, BCN Medtech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, 08018 Barcelona, Spain.ORCID 0000-0002-5125-6132

Funding

European Union’s Horizon 2020 101016496GENERALITAAT PID2022-143239OB-I00programm GEMINI GA 101136438
6 · The paper itself

Abstract

Left atrial appendage occlusion devices (LAAO) are a feasible alternative for non-valvular atrial fibrillation (AF) patients at high risk of thromboembolic stroke and contraindication to antithrombotic therapies. However, optimal LAAO device configurations (i.e., size, type, location) remain unstandardized due to the large anatomical variability of the left atrial appendage (LAA) morphology, leading to a 4-6% incidence of device-related thrombus (DRT). In-silico simulations have the potential to assess DRT risk and identify the key factors, such as suboptimal device positioning. This work presents fluid simulation results computed on 20 patient-specific left atrial geometries, analysing different commercially available LAAO occluders, including plug-type and pacifier-type devices. In addition, we explored two distinct device positions: 1) the real post-LAAO intervention configuration derived from follow-up imaging; and 2) one covering the pulmonary ridge if it was not achieved during the implantation (13 out of 20). In total, 33 different configurations were analysed. In-silico indices indicating high risk of DRT (e.g., low blood flow velocities and flow complexity around the device) were combined with particle deposition analysis based on a discrete phase model. The obtained results revealed that covering the pulmonary ridge with the LAAO device may be one of the key factors to prevent DRT, resulting in higher velocities and reduced flow recirculations (e.g., mean velocities of 0.183 ± 0.12 m/s and 0.236 ± 0.16 m/s for uncovered versus covered positions in DRT patients). Moreover, disk-based devices exhibited enhanced adaptability to various LAA morphologies and, generally, demonstrated a lower risk of abnormal events after LAAO implantation.

Indexed as

Atrial AppendageAtrial FibrillationComputer SimulationHemodynamicsModels, CardiovascularThrombosisComputational BiologyHeart AtriaHumansSeptal Occluder Device

Identifiers

PMID39325818
PMCPMC11460709

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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.