Comprehensive assessment of local and regional aortic stiffness in patients with tricuspid or bicuspid aortic valve aortopathy using magnetic resonance imaging.


Journal

International journal of cardiology
ISSN: 1874-1754
Titre abrégé: Int J Cardiol
Pays: Netherlands
ID NLM: 8200291

Informations de publication

Date de publication:
01 03 2021
Historique:
received: 06 05 2020
revised: 27 10 2020
accepted: 09 11 2020
pubmed: 2 12 2020
medline: 29 5 2021
entrez: 1 12 2020
Statut: ppublish

Résumé

We aimed to provide a comprehensive aortic stiffness description using magnetic resonance imaging (MRI) in patients with ascending thoracic aorta aneurysm and tricuspid (TAV-ATAA) or bicuspid (BAV) aortic valve. This case-control study included 18 TAV-ATAA and 19 BAV patients, with no aortic valve stenosis/severe regurgitation, who were 1:1 age-, gender- and central blood pressures (BP)-matched to healthy volunteers. Each underwent simultaneous aortic MRI and BP measurements. 3D anatomical MRI provided aortic diameters. Stiffness indices included: regional ascending (AA) and descending (DA) aorta pulse wave velocity (PWV) from 4D flow MRI; local AA and DA strain, distensibility and theoretical Bramwell-Hill (BH) model-based PWV, as well as regional arch PWV from 2D flow MRI. Patient groups had significantly higher maximal AA diameter (median[interquartile range], TAV-ATAA: 47.5[42.0-51.3]mm, BAV: 45.0[41.0-47.0]mm) than their respective controls (29.1[26.8-31.8] and 28.1[26.0-32.0]mm, p < 0.0001), while BP were similar (p ≥ 0.25). Stiffness indices were significantly associated with age (ρ ≥ 0.33), mean BP (arch PWV: ρ = 0.25, p = 0.05; DA distensibility: ρ = -0.30, p = 0.02) or AA diameter (arch PWV: ρ = 0.28, p = 0.03; DA PWV: ρ = 0.32, p = 0.009). None of them, however, was significantly different between TAV-ATAA or BAV patients and their matched controls. Finally, while direct PWV measures were significantly correlated to BH-PWV estimates in controls (ρ ≥ 0.40), associations were non-significant in TAV-ATAA and BAV groups (p ≥ 0.18). The overlap of MRI-derived aortic stiffness indices between patients with TAV or BAV aortopathy and matched controls highlights another heterogeneous feature of aortopathy, and suggests the urgent need for more sensitive indices which might help better discriminate such diseases.

Sections du résumé

BACKGROUND
We aimed to provide a comprehensive aortic stiffness description using magnetic resonance imaging (MRI) in patients with ascending thoracic aorta aneurysm and tricuspid (TAV-ATAA) or bicuspid (BAV) aortic valve.
METHODS
This case-control study included 18 TAV-ATAA and 19 BAV patients, with no aortic valve stenosis/severe regurgitation, who were 1:1 age-, gender- and central blood pressures (BP)-matched to healthy volunteers. Each underwent simultaneous aortic MRI and BP measurements. 3D anatomical MRI provided aortic diameters. Stiffness indices included: regional ascending (AA) and descending (DA) aorta pulse wave velocity (PWV) from 4D flow MRI; local AA and DA strain, distensibility and theoretical Bramwell-Hill (BH) model-based PWV, as well as regional arch PWV from 2D flow MRI.
RESULTS
Patient groups had significantly higher maximal AA diameter (median[interquartile range], TAV-ATAA: 47.5[42.0-51.3]mm, BAV: 45.0[41.0-47.0]mm) than their respective controls (29.1[26.8-31.8] and 28.1[26.0-32.0]mm, p < 0.0001), while BP were similar (p ≥ 0.25). Stiffness indices were significantly associated with age (ρ ≥ 0.33), mean BP (arch PWV: ρ = 0.25, p = 0.05; DA distensibility: ρ = -0.30, p = 0.02) or AA diameter (arch PWV: ρ = 0.28, p = 0.03; DA PWV: ρ = 0.32, p = 0.009). None of them, however, was significantly different between TAV-ATAA or BAV patients and their matched controls. Finally, while direct PWV measures were significantly correlated to BH-PWV estimates in controls (ρ ≥ 0.40), associations were non-significant in TAV-ATAA and BAV groups (p ≥ 0.18).
CONCLUSIONS
The overlap of MRI-derived aortic stiffness indices between patients with TAV or BAV aortopathy and matched controls highlights another heterogeneous feature of aortopathy, and suggests the urgent need for more sensitive indices which might help better discriminate such diseases.

Identifiants

pubmed: 33259874
pii: S0167-5273(20)34169-3
doi: 10.1016/j.ijcard.2020.11.046
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

206-212

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors report no relationships that could be construed as a conflict of interest.

Auteurs

Ariel F Pascaner (AF)

Instituto de Medicina Traslacional, Trasplante y Bioingeniería (IMETTyB), Universidad Favaloro - CONICET, Buenos Aires, Argentina.

Sophia Houriez-Gombaud-Saintonge (S)

Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; ESME Sudria Research Lab, Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.

Damian Craiem (D)

Instituto de Medicina Traslacional, Trasplante y Bioingeniería (IMETTyB), Universidad Favaloro - CONICET, Buenos Aires, Argentina.

Umit Gencer (U)

Département de Radiologie Cardiovasculaire, Hôpital Européen Georges Pompidou - INSERM U970, PARCC, Paris, France.

Mariano E Casciaro (ME)

Instituto de Medicina Traslacional, Trasplante y Bioingeniería (IMETTyB), Universidad Favaloro - CONICET, Buenos Aires, Argentina.

Etienne Charpentier (E)

Département de Radiologie Cardiovasculaire, Hôpital Européen Georges Pompidou - INSERM U970, PARCC, Paris, France.

Kevin Bouaou (K)

Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.

Alain De Cesare (A)

Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.

Thomas Dietenbeck (T)

Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.

Yasmina Chenoune (Y)

ESME Sudria Research Lab, Paris, France.

Nadjia Kachenoura (N)

Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.

Elie Mousseaux (E)

Département de Radiologie Cardiovasculaire, Hôpital Européen Georges Pompidou - INSERM U970, PARCC, Paris, France.

Gilles Soulat (G)

Département de Radiologie Cardiovasculaire, Hôpital Européen Georges Pompidou - INSERM U970, PARCC, Paris, France.

Emilie Bollache (E)

Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), Paris, France. Electronic address: emilie.bollache@inserm.fr.

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