Evidence map›Paper›PMID 35063831›Full record

ArticleJournal of biomechanics2022

Characterization of hemodynamics in anomalous aortic origin of coronary arteries using patient-specific modeling.

Simbarashe G Chidyagwai, Madhurima Vardhan, Michael Kaplan, Reid Chamberlain, Piers Barker, Amanda Randles

Open access · greenAbstract read
In one paragraph

Article in Journal of biomechanics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Optimizing Temporal Waveform Analysis: A Novel Pipeline for Efficient Characterization of Left Coronary Artery Velocity Profiles.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. 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

6 authors at 1 institution in 1 country.

Simbarashe G ChidyagwaiDepartment of Biomedical Engineering, Duke University, Durham, NC, United States of America. Electronic address: simbarashe.chidyagwai@duke.edu.
Madhurima VardhanDepartment of Biomedical Engineering, Duke University, Durham, NC, United States of America. Electronic address: madhurima.vardhan@duke.edu.
Michael KaplanDuke University School of Medicine, Duke University, Durham, NC, United States of America. Electronic address: michael.kaplan@duke.edu.
Reid ChamberlainDepartment of Medicine, Duke University, Durham, NC, United States of America; Department of Pediatrics, Duke University, Durham, NC, United States of America. Electronic address: reid.chamberlain@duke.edu.
Piers BarkerDepartment of Medicine, Duke University, Durham, NC, United States of America; Department of Pediatrics, Duke University, Durham, NC, United States of America. Electronic address: piers.barker@duke.edu.
Amanda RandlesDepartment of Biomedical Engineering, Duke University, Durham, NC, United States of America. Electronic address: amanda.randles@duke.edu.
Duke University · US

Funding

Toward coupled multiphysics models of hemodynamics on leadership systemsDP5OD019876 · OD · UNIVERSITY OF CALIF-LAWRNC LVRMR NAT LAB · PI RANDLES, AMANDA E · 2014 to 2018
$2.0M
NIH HHS DP5 OD019876
6 · The paper itself

Abstract

The anomalous aortic origin of coronary arteries (AAOCA) is a congenital disease that can lead to sudden cardiac death (SCD) during strenuous physical activity. Despite AAOCA being the second leading cause of SCD among young athletes, the mechanism behind sudden cardiac death remains mostly unknown. Computational fluid dynamics provides a powerful tool for studying how pathologic anatomy can affect different hemodynamic states. The present study investigates the effect of AAOCA on patient hemodynamics. We performed patient-specific hemodynamic simulations of interarterial AAOCA at baseline and in the exercise state using our massively parallel flow solver. Additionally, we investigate how surgical correction via coronary unroofing impacts patient blood flow. Results show that patient-specific AAOCA models exhibited higher interarterial time-averaged wall shear stress (TAWSS) values compared to the control patients. The oscillatory shear index had no impact on AAOCA. Finally, the coronary unroofing procedure normalized the elevated TAWSS by decreasing TAWSS in the postoperative patient. The present study provides a proof of concept for the potential hemodynamic factors underlying coronary ischemia in AAOCA during exercise state.

Indexed as

Coronary Vessel AnomaliesCoronary VesselsAortaHemodynamicsHumansPatient-Specific ModelingAAOCAComputational fluid dynamicsHemodynamicsSudden cardiac death

Identifiers

PMID35063831
PMCPMC10712838
OpenAlexW4205481885

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.