Evidence map›Paper›PMID 38564074›Full record

ArticleAnnals of biomedical engineering2024

Multiscale Finite Element Modeling of Left Ventricular Growth in Simulations of Valve Disease.

Hossein Sharifi, Mohammad Mehri, Charles K Mann, Kenneth S Campbell, Lik Chuan Lee, Jonathan F Wenk

Open access · greenAbstract read
In one paragraph

Article in Annals of biomedical engineering, 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
1.3field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 7 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

6 authors at 2 institutions in 1 country.

Hossein SharifiDepartment of Mechanical and Aerospace Engineering, University of Kentucky, 269 Ralph G. Anderson Building, Lexington, KY, 40506-0503, USA.
Mohammad MehriDepartment of Mechanical and Aerospace Engineering, University of Kentucky, 269 Ralph G. Anderson Building, Lexington, KY, 40506-0503, USA.
Charles K MannDepartment of Mechanical and Aerospace Engineering, University of Kentucky, 269 Ralph G. Anderson Building, Lexington, KY, 40506-0503, USA.
Kenneth S CampbellDivision of Cardiovascular Medicine and Department of Physiology, University of Kentucky, Lexington, KY, USA.
Lik Chuan LeeDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI, USA.
Jonathan F WenkDepartment of Mechanical and Aerospace Engineering, University of Kentucky, 269 Ralph G. Anderson Building, Lexington, KY, 40506-0503, USA. jonathan.wenk@uky.edu.ORCID http://orcid.org/0000-0003-0272-9914
University of Kentucky · USMichigan State University · US

Funding

Multiscale modeling of inherited cardiomyopathies and therapeutic interventionsU01HL133359 · NHLBI · UNIVERSITY OF KENTUCKY · PI CAMPBELL, KENNETH S, WENK, JONATHAN F · 2017 to 2021
$3.1M
Data-driven optimization of therapy for heart failureR01HL163977 · NHLBI · UNIVERSITY OF KENTUCKY · PI CAMPBELL, KENNETH S, LEE, LIK CHUAN · 2022 to 2025
$2.4M
NHLBI NIH HHS R01 HL163977NHLBI NIH HHS U01 HL133359
6 · The paper itself

Abstract

Multiscale models of the cardiovascular system are emerging as effective tools for investigating the mechanisms that drive ventricular growth and remodeling. These models can predict how molecular-level mechanisms impact organ-level structure and function and could provide new insights that help improve patient care. MyoFE is a multiscale computer framework that bridges molecular and organ-level mechanisms in a finite element model of the left ventricle that is coupled with the systemic circulation. In this study, we extend MyoFE to include a growth algorithm, based on volumetric growth theory, to simulate concentric growth (wall thickening/thinning) and eccentric growth (chamber dilation/constriction) in response to valvular diseases. Specifically in our model, concentric growth is controlled by time-averaged total stress along the fiber direction over a cardiac cycle while eccentric growth responds to time-averaged intracellular myofiber passive stress over a cardiac cycle. The new framework correctly predicted different forms of growth in response to two types of valvular diseases, namely aortic stenosis and mitral regurgitation. Furthermore, the model predicted that LV size and function are nearly restored (reversal of growth) when the disease-mimicking perturbation was removed in the simulations for each valvular disorder. In conclusion, the simulations suggest that time-averaged total stress along the fiber direction and time-averaged intracellular myofiber passive stress can be used to drive concentric and eccentric growth in simulations of valve disease.

Indexed as

Finite Element AnalysisHeart VentriclesModels, CardiovascularAortic Valve StenosisComputer SimulationHeart Valve DiseasesHumansMitral Valve InsufficiencyAortic stenosisCardiac mechanicsFinite element modelingLV growthMitral regurgitationMultiscale modeling

Identifiers

PMID38564074
PMCPMC12326515
OpenAlexW4393411846

What OpenQuestion holds

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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.