Evidence map›Paper›PMID 35262580›Full record

Observational studyArquivos brasileiros de cardiologia2022

Computational Fluid Dynamics to Assess the Future Risk of Ascending Aortic Aneurysms.

Gabriela de C Almeida, Bruno Alvares de Azevedo Gomes, Fabiula Schwartz de Azevedo, Karim Kalaun, Ivan Ibanez, Pedro S Teixeira, Ilan Gottlieb, Marcelo M Melo, Glaucia Maria Moraes de Oliveira, Angela O Nieckele

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in Arquivos brasileiros de cardiologia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Gabriela de C AlmeidaDepartamento de Engenharia Mecânica, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro, RJ - Brazil.ORCID 0000-0002-3082-6167
Bruno Alvares de Azevedo GomesDepartamento de Engenharia Mecânica, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro, RJ - Brazil.ORCID 0000-0002-4788-1496
Fabiula Schwartz de AzevedoDepartamento de Cardiologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ - Brazil.ORCID 0000-0002-4361-5609
Karim KalaunDepartamento de Engenharia Mecânica, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro, RJ - Brazil.ORCID 0000-0003-0472-202X
Ivan IbanezDepartamento de Engenharia Mecânica, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro, RJ - Brazil.ORCID 0000-0002-9541-311X
Pedro S TeixeiraFIT Center - Clínica de Performance Humana, Niterói, RJ - Brazil.ORCID 0000-0001-5025-7531
Ilan GottliebCasa de Saúde São José, Rio de Janeiro, RJ - Brazil.ORCID 0000-0003-0402-5769
Marcelo M MeloInstituto Nacional de Cardiologia, Rio de Janeiro, RJ - Brazil.ORCID 0000-0002-3325-247X
Glaucia Maria Moraes de OliveiraDepartamento de Cardiologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ - Brazil.ORCID 0000-0002-0737-6188
Angela O NieckeleDepartamento de Engenharia Mecânica, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro, RJ - Brazil.ORCID 0000-0003-4836-8931
Pontifícia Universidade Católica do Rio de Janeiro · BRUniversidade Federal do Rio de Janeiro · BRCentro de Reprodução Humana Prof. Franco Junior · BREscola Nacional de Saúde Pública · BRInstituto Nacional de Cardiologia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA methodology to identify patients with ascending aortic aneurysm (AsAA) under high risk for aortic growth is not completely defined. OBJETIVE: This research seeks to numerically characterize the aortic blood flow by relating the resulting mechanical stress distribution with AsAA growth.

methodsAnalytical, observational, single-center study in which a computational fluid dynamics (CFD) protocol was applied to aortic computed tomography angiogram (CTA) images of patients with AsAA. Two CTA exams taken at a minimum interval of one year were obtained. From the CTA-gathered images, three-dimensional models were built, and clinical data were registered. Study of velocity field and coherent structures (vortices) was performed aiming to relate them to the presence or absence of aneurysm growth, as well as comparing them to the patients' clinical data. The Kolmogorov-Smirnov test was used to evaluate the normality of the distribution, and the non-parametric Wilcoxon signed-rank test, for non-normal distribution, was used to compare the paired data of the aortic angles. Statistical significance was set at 5%.

resultsThe incident jet in the aortic wall generated recirculation areas in the posterior region of the jet, inducing complex vortices formation in the group with aneurysm growth, leading to an average pressure increase in the ascending aortic wall between exams. In the group without aneurysm growth, the average pressure decreased.

conclusionThis pilot study showed that CFD based on CTA may in the near future be a tool to help identify flow patterns associated with AsAA remodeling process.

Indexed as

Aortic AneurysmHydrodynamicsAortaHemodynamicsHumansPilot Projects

Identifiers

PMID35262580
PMCPMC8856676
OpenAlexW4213285333

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.