Aortic Distensibility Measured by Automated Analysis of Magnetic Resonance Imaging Predicts Adverse Cardiovascular Events in UK Biobank.


Journal

Journal of the American Heart Association
ISSN: 2047-9980
Titre abrégé: J Am Heart Assoc
Pays: England
ID NLM: 101580524

Informations de publication

Date de publication:
06 12 2022
Historique:
pubmed: 30 11 2022
medline: 15 12 2022
entrez: 29 11 2022
Statut: ppublish

Résumé

Background Automated analysis of cardiovascular magnetic resonance images provides the potential to assess aortic distensibility in large populations. The aim of this study was to compare the prediction of cardiovascular events by automated cardiovascular magnetic resonance with those of other simple measures of aortic stiffness suitable for population screening. Methods and Results Aortic distensibility was measured from automated segmentation of aortic cine cardiovascular magnetic resonance using artificial intelligence in 8435 participants. The associations of distensibility, brachial pulse pressure, and stiffness index (obtained by finger photoplethysmography) with conventional risk factors was examined by multivariable regression and incident cardiovascular events by Cox proportional-hazards regression. Mean (±SD) distensibility values for men and women were 1.77±1.15 and 2.10±1.45 (

Identifiants

pubmed: 36444831
doi: 10.1161/JAHA.122.026361
pmc: PMC9851433
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e026361

Subventions

Organisme : Medical Research Council
ID : MC_PC_17228
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_QA137853
Pays : United Kingdom
Organisme : Wellcome Trust
ID : WT 203148/Z/16/Z
Pays : United Kingdom
Organisme : Department of Health
Pays : United Kingdom

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Auteurs

Marina Cecelja (M)

King's College London British Heart Foundation Centre, Department of Clinical Pharmacology St Thomas' Hospital London United Kingdom.

Bram Ruijsink (B)

School of Bioengineering and Imaging Sciences King's College London London United Kingdom.

Esther Puyol-Antón (E)

School of Bioengineering and Imaging Sciences King's College London London United Kingdom.

Ye Li (Y)

King's College London British Heart Foundation Centre, Department of Clinical Pharmacology St Thomas' Hospital London United Kingdom.

Harriet Godwin (H)

King's College London British Heart Foundation Centre School of Cardiovascular Medicine & Sciences, Department of Cardiology London United Kingdom.

Andrew P King (AP)

School of Bioengineering and Imaging Sciences King's College London London United Kingdom.

Reza Razavi (R)

School of Bioengineering and Imaging Sciences King's College London London United Kingdom.

Phil Chowienczyk (P)

King's College London British Heart Foundation Centre, Department of Clinical Pharmacology St Thomas' Hospital London United Kingdom.

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