Evidence map›Paper›PMID 34859367›Full record

ArticleJournal of cardiovascular translational research2022

Assessment of Paravalvular Leak Severity and Thrombogenic Potential in Transcatheter Bicuspid Aortic Valve Replacements Using Patient-Specific Computational Modeling.

Salwa B Anam, Brandon J Kovarovic, Ram P Ghosh, Matteo Bianchi, Ashraf Hamdan, Rami Haj-Ali, Danny Bluestein

Open access · greenAbstract read
In one paragraph

Article in Journal of cardiovascular translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Salwa B AnamBiofluids Research Group, Department of Biomedical Engineering, Stony Brook University, T8-050 Health Sciences Center, NY, 11794-8084, Stony Brook, USA.
Brandon J KovarovicBiofluids Research Group, Department of Biomedical Engineering, Stony Brook University, T8-050 Health Sciences Center, NY, 11794-8084, Stony Brook, USA.
Ram P GhoshBiofluids Research Group, Department of Biomedical Engineering, Stony Brook University, T8-050 Health Sciences Center, NY, 11794-8084, Stony Brook, USA.
Matteo BianchiBiofluids Research Group, Department of Biomedical Engineering, Stony Brook University, T8-050 Health Sciences Center, NY, 11794-8084, Stony Brook, USA.
Ashraf HamdanDepartment of Cardiology, Rabin Medical Center, Petah Tikva, Israel, 4941492.
Rami Haj-AliSchool of Mechanical Engineering, Faculty of Engineering, Tel-Aviv University, Tel-Aviv, Ramat Aviv, Israel, 69978.
Danny BluesteinBiofluids Research Group, Department of Biomedical Engineering, Stony Brook University, T8-050 Health Sciences Center, NY, 11794-8084, Stony Brook, USA. danny.bluestein@stonybrook.edu.ORCID 0000-0002-4014-2308
Stony Brook University · USRabin Medical Center · ILTel Aviv University · IL

Funding

Biomechanical Approaches and Technologies for Enhancing TAVR OutcomesU01EB026414 · NIBIB · STATE UNIVERSITY NEW YORK STONY BROOK · PI BLUESTEIN, DANNY · 2018 to 2022
$3.8M
NIBIB NIH HHS U01 EB026414
6 · The paper itself

Abstract

Bicuspid aortic valve (BAV), the most common congenital valvular abnormality, generates asymmetric flow patterns and increased stresses on the leaflets that expedite valvular calcification and structural degeneration. Recently adapted for use in BAV patients, TAVR demonstrates promising performance, but post-TAVR complications tend to get exacerbated due to BAV anatomical complexities. Utilizing patient-specific computational modeling, we address some of these complications. The degree and location of post-TAVR PVL was assessed, and the risk of flow-induced thrombogenicity was analyzed in 3 BAV patients - using older generation TAVR devices that were implanted in these patients, and compared them to the performance of the newest generation TAVR devices using in silico patient models. Significant decrease in PVL and thrombogenic potential was observed after implantation of the newest generation device. The current work demonstrates the potential of using simulations in pre-procedural planning to assess post-TAVR complications, and compare the performance of different devices to achieve better clinical outcomes. Patient-specific computational framework to assess post-transcatheter bicuspid aortic valve replacement paravalvular leakage and flow-induced thrombogenic complications and compare device performances.

Indexed as

Aortic Valve StenosisBicuspid Aortic Valve DiseaseTranscatheter Aortic Valve ReplacementAortic ValveComputer SimulationHumansPatient-Specific ModelingTreatment OutcomeBicuspid aortic valve (BAV)Computational fluid dynamics (CFD)Paravalvular leakage (PVL)Patient-specific computational modelingThrombogenicityTranscatheter aortic valve implantation (TAVI)Transcatheter aortic valve replacement (TAVR)

Identifiers

PMID34859367
PMCPMC9160219
OpenAlexW3217803606

What OpenQuestion holds

Textmetadata
LicenceTDM
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.