Evidence map›Paper›PMID 36944405›Full record

ArticleActa biomaterialia2023

Lengthwise regional mechanics of the human aneurysmal ascending thoracic aorta.

Samar A Tarraf, Benjamin Kramer, Emily Vianna, Callan Gillespie, Emídio Germano, Kelly B Emerton, Rouzbeh Amini, Robb Colbrunn, Jennifer Hargrave, Eric E Roselli and 1 more

Open access · greenAbstract read
In one paragraph

Article in Acta biomaterialia, 2023. 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
2.8field-weighted citation impact, top 9% 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, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Inverse finite element identification of murine aortic material properties:Computer methods in biomechanics and biomedical engineering · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. TheFrontiers in cardiovascular medicine · 2024
    Article
  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

11 authors at 2 institutions in 1 country.

Samar A TarrafDepartment of Bioengineering, Northeastern University, 360 Huntington Ave., Boston, MA, 02125 USA.
Benjamin KramerAortic Center, Department of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, OH, USA.
Emily ViannaAortic Center, Department of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, OH, USA.
Callan GillespieDepartment of Biomedical Engineering, BioRobotics and Mechanical Testing Core, Cleveland Clinic, Cleveland, OH, USA.
Emídio GermanoAortic Center, Department of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, OH, USA.
Kelly B EmertonAortic Center, Department of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, OH, USA.
Rouzbeh AminiDepartment of Bioengineering, Northeastern University, 360 Huntington Ave., Boston, MA, 02125 USA; Department of Mechanical and Industrial Engineering, Northeastern University, 360 Huntington Ave., Boston, MA, 02125 USA.
Robb ColbrunnDepartment of Biomedical Engineering, BioRobotics and Mechanical Testing Core, Cleveland Clinic, Cleveland, OH, USA.
Jennifer HargraveDepartment of Cardiothoracic Anesthesiology, Cleveland Clinic, Cleveland, OH, USA.
Eric E RoselliAortic Center, Department of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, OH, USA; Department of Biomedical Engineering, BioRobotics and Mechanical Testing Core, Cleveland Clinic, Cleveland, OH, USA.
Chiara BelliniDepartment of Bioengineering, Northeastern University, 360 Huntington Ave., Boston, MA, 02125 USA. Electronic address: c.bellini@northeastern.edu.
Cleveland Clinic · USNortheastern University · US

Funding

Cleveland Clinic Cardiothoracic Collaborative Clinical Center (C6)UM1HL088955 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI GILLINOV, ALAN MARC, PARRINO, PATRICK E · 2013 to 2025
$6.6M
NHLBI NIH HHS UM1 HL088955
6 · The paper itself

Abstract

The prognosis of patients undergoing emergency endovascular repair of ascending thoracic aortic aneurysm (ATAA) depends on defect location, with root disease bearing worse outcomes than proximal or distal aortopathy. We speculate that a spatial gradient in aneurysmal tissue mechanics through the length of the ascending thoracic aorta may fuel noted survival discrepancies. To this end, we performed planar biaxial testing on 153 root, proximal, and distal segments of ATAA samples collected from 80 patients receiving elective open surgical repair. Following data averaging via surface fitting-based interpolation of strain-controlled protocols, we combined in-vitro and in-vivo measurements of loads and geometry to resolve inflation-extension kinematics and evaluate mechanical metrics of stress, stiffness, and energy at consistent deformation levels. Representative (averaged) experimental data and simulated in-vivo conditions revealed significantly larger biaxial stiffness at the root compared to either proximal or distal tissues, which persisted as the entire aorta stiffened during aging. Advancing age further reduced biaxial stretch and energy storage, a measure of aortic function, across all ATAA segments. Importantly, age emerged as a stronger predictor of tissue mechanics in ATAA disease than either bicuspid aortic valve or connective tissue disorders. Besides strengthening the general understanding of aneurysmal disease, our findings provide specifications to customize the design of stent-grafts for the treatment of ATAA disease. Optimization of deployment and interaction of novel endovascular devices with the local native environment is expected to carry significant potential for improving clinical outcomes. STATEMENT OF SIGNIFICANCE: Elucidating the lengthwise regional mechanics of ascending thoracic aortic aneurysms (ATAAs) is critical for the design of endovascular devices tailored to the ascending aorta. Stent-grafts provide a less invasive alternative to support the long-term survival of ATAA patients ineligible for open surgical repair. In this study, we developed a numerical framework that combines semi-inverse constitutive and forward modeling with in-vitro and in-vivo data to extract mechanical descriptors of ATAA tissue behavior at physiologically meaningful deformation. Moving distally from the aortic root to the first ascending aortic branch, we observed a progressive decline in biaxial stiffness. Furthermore, we showed that aging leads to reduced aortic function and is a stronger predictor of mechanics than either valve morphology or underlying syndromic disorder.

Indexed as

Aorta, ThoracicAortic Aneurysm, ThoracicAgingAortaBiomechanical PhenomenaHumansAgingAortic rootConstitutive modelingInflation-extension kinematicsPlanar biaxial testing

Identifiers

PMID36944405
PMCPMC10148908
OpenAlexW4327923082

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.