Evidence map›Paper›PMID 38390109›Full record

ArticleHeliyon2024

A 3D scaling law for supravalvular aortic stenosis suited for stethoscopic auscultations.

Ahmed M Ali, Aly A Ghobashy, Abdelrahman A Sultan, Khalil I Elkhodary, Mohamed El-Morsi

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Ahmed M AliDepartment of Mechanical Engineering, The American University in Cairo, 11835 New Cairo, Egypt.
Aly A GhobashyDepartment of Mechanical Engineering, The American University in Cairo, 11835 New Cairo, Egypt.
Abdelrahman A SultanDepartment of Mechanical Engineering, The American University in Cairo, 11835 New Cairo, Egypt.
Khalil I ElkhodaryDepartment of Mechanical Engineering, The American University in Cairo, 11835 New Cairo, Egypt.
Mohamed El-MorsiDepartment of Mechanical Engineering, The American University in Cairo, 11835 New Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study a frequency scaling law for 3D anatomically representative supravalvular aortic stenosis (SVAS) cases is proposed. The law is uncovered for stethoscopy's preferred auscultation range (70-120 Hz). LES simulations are performed on the CFD solver Fluent, leveraging Simulia's Living Heart Human Model (LHHM), modified to feature hourglass stenoses that range between 30 to 80 percent (mild to severe) in addition to the descending aorta. For physiological hemodynamic boundary conditions the Windkessel model is implemented via a UDF subroutine. The flow-generated acoustic signal is then extracted using the FW-H model and analyzed using FFT. A preferred receiver location that matches clinical practice is confirmed (right intercostal space) and a correlation between the degree of stenosis and a corresponding acoustic frequency is obtained. Five clinical auscultation signals are tested against the scaling law, with the findings interpreted in relation to the NHS classification of stenosis and to the assessments of experienced cardiologists. The scaling law is thus shown to succeed as a potential quantitative decision-support tool for clinicians, enabling them to reliably interpret stethoscopic auscultations for all degrees of stenosis, which is especially useful for moderate degrees of SVAS. Computational investigation of more complex stenotic cases would enhance the clinical relevance of this proposed scaling law, and will be explored in future research.

Indexed as

AortaHemoacousticsPhonocardiographyStenosisSVAS

Identifiers

PMID38390109
PMCPMC10881376

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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.