Evidence map›Paper›PMID 34260609›Full record

Observational studyPloS one2021

Computational modeling of the cephalic arch predicts hemodynamic profiles in patients with brachiocephalic fistula access receiving hemodialysis.

Mary Hammes, Andres Moya-Rodriguez, Cameron Bernstein, Sandeep Nathan, Rakesh Navuluri, Anindita Basu

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2021. 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
1.1field-weighted citation impact, top 22% 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, 6 citations in OpenAlex.

  1. Article
  2. Rebuilding vascular access: from the viewpoint of mechanics and materials.Frontiers in bioengineering and biotechnology · 2024
    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

6 authors at 1 institution in 1 country.

Mary HammesDepartment of Medicine, Section of Nephrology, University of Chicago, Chicago, IL, United States of America.ORCID 0000-0002-2524-6432
Andres Moya-RodriguezDepartment of Medicine, Section on Genetic Medicine, University of Chicago, Chicago, IL, United States of America.
Cameron BernsteinCollege, University of Chicago, Chicago, IL, United States of America.ORCID 0000-0001-6092-0018
Sandeep NathanDepartment of Medicine, Section of Cardiology, University of Chicago, Chicago, IL, United States of America.
Rakesh NavuluriDepartment of Radiology, University of Chicago, Chicago, IL, United States of America.ORCID 0000-0001-9411-8402
Anindita BasuDepartment of Medicine, Section on Genetic Medicine, University of Chicago, Chicago, IL, United States of America.
University of Chicago · US

Funding

Graduate Program in Biophysical Sciences at the University of Chicago - Renewal 0T32EB009412 · NIBIB · UNIVERSITY OF CHICAGO · PI ENGEL, GREGORY S, SOSNICK, TOBIN R · 2009 to 2023
$4.9M
A Clinical and Computational Study to Improve Brachiocephalic Fistula OutcomesR01DK090769 · NIDDK · UNIVERSITY OF CHICAGO · PI HAMMES, MARY SUSAN · 2011 to 2015
$3.0M
NIBIB NIH HHS T32 EB009412NIDDK NIH HHS R01 DK090769
6 · The paper itself

Abstract

backgroundThe most common configuration for arteriovenous fistula is brachiocephalic which often develop cephalic arch stenosis leading to the need for numerous procedures to maintain access patency. The hemodynamics that contributes to the development of cephalic arch stenosis is incompletely understood given the inability to accurately determine shear stress in the cephalic arch. In the current investigation our aim was to determine pressure, velocity and wall shear stress profiles in the cephalic arch in 3D using computational modeling as tools to understand stenosis.

methodsFive subjects with brachiocephalic fistula access had protocol labs, Doppler, venogram and intravascular ultrasound imaging performed at 3 and 12 months. 3D reconstructions of the cephalic arch were generated by combining intravascular ultrasounds and venograms. Standard finite element analysis software was used to simulate time dependent blood flow in the cephalic arch with velocity, pressure and wall shear stress profiles generated.

resultsOur models generated from imaging and flow measurements at 3 and 12 months offer snapshots of the patient's cephalic arch at a precise time point, although the remodeling of the vessel downstream of an arteriovenous fistula in patients undergoing regular dialysis is a dynamic process that persists over long periods of time (~ 5 years). The velocity and pressure increase at the cephalic bend cause abnormal hemodynamics most prominent along the inner wall of the terminal cephalic arch. The topology of the cephalic arch is highly variable between subjects and predictive of pathologic stenosis at later time points.

conclusionsLow flow velocity and wall pressure along the inner wall of the bend may provide possible nidus of endothelial activation that leads to stenosis and thrombosis. In addition, 3D modelling of the arch can indicate areas of stenosis that may be missed by venograms alone. Computational modeling reconstructed from 3D radiologic imaging and Doppler flow provides important insights into the hemodynamics of blood flow in arteriovenous fistula. This technique could be used in future studies to determine optimal flow to prevent endothelial damage for patients with arteriovenous fistula access.

Indexed as

Computer SimulationRenal DialysisAdultArteriovenous FistulaBlood Flow VelocityBrachial ArteryBrachiocephalic VeinsConstriction, PathologicFemaleFollow-Up StudiesHemodynamicsHumansImaging, Three-DimensionalMaleMiddle AgedModels, Biological

Identifiers

PMID34260609
PMCPMC8279323
OpenAlexW3179908143

What OpenQuestion holds

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LicenceCC BY
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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.