Aortic diameter is a poor predictor of aortic tissue failure metrics in patients with ascending aneurysms.

aortic aneurysm ascending aorta bicuspid aortopathy biomechanics dissection risk

Journal

The Journal of thoracic and cardiovascular surgery
ISSN: 1097-685X
Titre abrégé: J Thorac Cardiovasc Surg
Pays: United States
ID NLM: 0376343

Informations de publication

Date de publication:
25 Oct 2022
Historique:
received: 28 01 2022
revised: 19 09 2022
accepted: 13 10 2022
entrez: 17 12 2022
pubmed: 18 12 2022
medline: 18 12 2022
Statut: aheadofprint

Résumé

There is growing consensus that aortic diameter is a flawed predictor of aortic dissection risk. We hypothesized that aortic tissue metrics would be better predicted by clinical metrics other than aortic diameter. Our objectives were to (1) characterize circumferential aortic failure stress and stretch as a result of aortic size and patient demographics, and (2) identify the influence of bicuspid aortic valve on failure metrics. From February 2018 to January 2021, 136 aortic tissue samples were obtained from 86 adults undergoing elective ascending aorta repair. Uniaxial biomechanical testing to failure, defined as a full-thickness central tear, was performed to obtain tissue failure stress and failure stretch and compared with clinical data and preoperative computed tomography imaging. The relationships among aortic diameter, patient demographics, and failure metrics were assessed using random forest regression models. Median failure stress was 1.46 (1.02-1.94) megapascals, and failure stretch was 1.36 (1.27-1.54). Regression models correlated moderately with failure stress (R Aneurysmal ascending aortic tissue failure metrics correlated with available clinical metrics. Greater tissue thickness, older age, and tricuspid aortic valve morphology outperformed aortic diameter, warranting further investigation into the role of a patient-specific multifactorial dissection risk assessment over aortic diameter as a sole marker of aortic tissue integrity.

Identifiants

pubmed: 36528437
pii: S0022-5223(22)01140-0
doi: 10.1016/j.jtcvs.2022.10.021
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Investigateurs

Frank Cikach (F)
Emidio Germano (E)
Kelly Emerton (K)
Jennifer Hargrave (J)
Ria Richardson (R)

Informations de copyright

Copyright © 2022. Published by Elsevier Inc.

Auteurs

Emily Vianna (E)

Department of Thoracic and Cardiovascular Surgery, Aorta Center, Heart, Vascular & Thoracic Institute, Cleveland Clinic, Cleveland, Ohio.

Benjamin Kramer (B)

Department of Thoracic and Cardiovascular Surgery, Aorta Center, Heart, Vascular & Thoracic Institute, Cleveland Clinic, Cleveland, Ohio.

Samar Tarraf (S)

Department of Bioengineering, College of Engineering, Northeastern University, Boston, Mass.

Callan Gillespie (C)

Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio.

Robb Colbrunn (R)

Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio.

Chiara Bellini (C)

Department of Bioengineering, College of Engineering, Northeastern University, Boston, Mass.

Eric E Roselli (EE)

Department of Thoracic and Cardiovascular Surgery, Aorta Center, Heart, Vascular & Thoracic Institute, Cleveland Clinic, Cleveland, Ohio; Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio. Electronic address: RosellE@ccf.org.
Department of Thoracic and Cardiovascular Surgery, Aorta Center, Heart, Vascular & Thoracic Institute, Cleveland Clinic, Cleveland, Ohio; Department of Bioengineering, College of Engineering, Northeastern University, Boston, Mass; Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio.

Classifications MeSH