Evidence map›Paper›PMID 41479847›Full record

ArticleBiomechanics (Basel, Switzerland)2025

Influence of Coronary Flow and Left Ventricular Outflow Tract Velocity on LDL Accumulation and Calcification in Aortic Valve Leaflets.

Mishal Raza-Taimuri, Ian Y Chen, Hamid Sadat

Abstract read
In one paragraph

Article in Biomechanics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Mishal Raza-TaimuriDepartment of Mechanical Engineering, University of North Texas, Denton, TX 76207, USA.ORCID 0009-0005-5070-5628
Ian Y ChenDepartment of Medicine, Division of Cardiovascular Medicine, Stanford Cardiovascular Institute, Stanford University, Palo Alto, CA 94304, USA.
Hamid SadatDepartment of Mechanical Engineering, University of North Texas, Denton, TX 76207, USA.

Funding

The Influence of Aortic Valve Hemodynamics and LVAD on bio-transport processes in Calcific Aortic Valve DiseaseR15HL156127 · NHLBI · UNIVERSITY OF NORTH TEXAS · PI SADAT, HAMID · 2021 to 2021
$355k
NHLBI NIH HHS R15 HL156127
6 · The paper itself

Abstract

Background/Objectives: Calcific aortic valve disease (CAVD) is a progressive condition marked by thickening and calcification of the valve leaflets, leading to impaired cardiac function and increased cardiovascular risk. As disease progression is strongly influenced by hemodynamics and lipid accumulation, computational modeling provides a powerful tool for understanding the biomechanical drivers of calcification. Methods: This study investigates the effects of coronary artery flow and varying left ventricular outflow tract (LVOT) velocity profiles on low density lipoprotein (LDL) accumulation and associated aortic valve calcification using a partitioned fluid-structure interaction framework coupled with scalar transport modeling, with a focus on understanding the differential behaviors of the three valve leaflets: the non-coronary cusp (NCC), right coronary cusp (RCC), and left coronary cusp (LCC). Four distinct LVOT flow velocity profiles (anterior, lateral, posterior, and medial) and coronary flow are simulated to determine their effects on the distribution of LDL accumulation and associated calcification across the valve leaflets. Results/Conclusions: Our results indicate that the RCC experiences greatest excursion and lowest calcification. The LCC shows lowest excursion and slightly higher susceptibility for calcification. Finally, the NCC experiences intermediate excursion, but is most prone to calcification.

Indexed as

aortic valve calcificationCFDfluid–structure interactionhemodynamics

Identifiers

PMID41479847
PMCPMC12755840

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Registered trials

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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.