Evidence map›Paper›PMID 37887858›Full record

ArticleJournal of cardiovascular development and disease2023

Energetics of Cardiac Blood Flow in Hypertrophic Cardiomyopathy through Individualized Computational Modeling.

Owen Baenen, Angie Carolina Carreño-Martínez, Theodore P Abraham, Sandra Rugonyi

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

4 authors at 2 institutions in 1 country.

Owen BaenenDepartment of Mechanical Engineering, Rice University, Houston, TX 77005, USA.
Angie Carolina Carreño-MartínezUSCF HCM Center, Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA 94158, USA.
Theodore P AbrahamUSCF HCM Center, Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA 94158, USA.
Sandra RugonyiBiomedical Engineering Department, Oregon Health & Science University, Portland, OR 97239, USA.ORCID 0000-0001-9262-7959
Oregon Health & Science University · USUniversity of California, San Francisco · US

Funding

Prenatal valve formation in congenital heart diseaseR01HL170097 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Sandra Rugonyi · 2023 to 2026
$1.9M
NHLBI NIH HHS R01 HL170097
6 · The paper itself

Abstract

Hypertrophic cardiomyopathy (HCM) is a congenital heart disease characterized by thickening of the heart's left ventricle (LV) wall that can lead to cardiac dysfunction and heart failure. Ventricular wall thickening affects the motion of cardiac walls and blood flow within the heart. Because abnormal cardiac blood flow in turn could lead to detrimental remodeling of heart walls, aberrant ventricular flow patterns could exacerbate HCM progression. How blood flow patterns are affected by hypertrophy and inter-patient variability is not known. To address this gap in knowledge, we present here strategies to generate personalized computational fluid dynamics (CFD) models of the heart LV from patient cardiac magnetic resonance (cMR) images. We performed simulations of CFD LV models from three cases (one normal, two HCM). CFD computations solved for blood flow velocities, from which flow patterns and the energetics of flow within the LV were quantified. We found that, compared to a normal heart, HCM hearts exhibit anomalous flow patterns and a mismatch in the timing of energy transfer from the LV wall to blood flow, as well as changes in kinetic energy flow patterns. While our results are preliminary, our presented methodology holds promise for in-depth analysis of HCM patient hemodynamics in clinical practice.

Indexed as

cardiac flowcomputer simulationheart functionhemodynamicshypertrophic cardiomyopathykinetic energypatient-specific modelingvorticity

Identifiers

PMID37887858
PMCPMC10607792
OpenAlexW4387097210

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.