Unsupervised clustering of patients with severe aortic stenosis: A myocardial continuum.
Aortic stenosis
Artificial intelligence
Clustering
Echocardiography
Mortality
Phenomapping
Journal
Archives of cardiovascular diseases
ISSN: 1875-2128
Titre abrégé: Arch Cardiovasc Dis
Pays: Netherlands
ID NLM: 101465655
Informations de publication
Date de publication:
Nov 2022
Nov 2022
Historique:
received:
22
01
2022
revised:
23
06
2022
accepted:
27
06
2022
pubmed:
15
10
2022
medline:
7
12
2022
entrez:
14
10
2022
Statut:
ppublish
Résumé
Traditional statistics, based on prediction models with a limited number of prespecified variables, are probably not adequate to provide an appropriate classification of a condition that is as heterogeneous as aortic stenosis (AS). To investigate a new classification system for severe AS using phenomapping. Consecutive patients from a referral centre (training cohort) who met the echocardiographic definition of an aortic valve area (AVA) ≤ 1 cm In total, 613 patients were initially recruited, with a mean±standard deviation AVA of 0.72±0.17 cm Artificial intelligence re-emphasizes the significance of cardiac remodelling in the prognosis of patients with severe AS and highlights AS not only as an isolated valvular condition, but also a global disease.
Sections du résumé
BACKGROUND
BACKGROUND
Traditional statistics, based on prediction models with a limited number of prespecified variables, are probably not adequate to provide an appropriate classification of a condition that is as heterogeneous as aortic stenosis (AS).
AIMS
OBJECTIVE
To investigate a new classification system for severe AS using phenomapping.
METHODS
METHODS
Consecutive patients from a referral centre (training cohort) who met the echocardiographic definition of an aortic valve area (AVA) ≤ 1 cm
RESULTS
RESULTS
In total, 613 patients were initially recruited, with a mean±standard deviation AVA of 0.72±0.17 cm
CONCLUSIONS
CONCLUSIONS
Artificial intelligence re-emphasizes the significance of cardiac remodelling in the prognosis of patients with severe AS and highlights AS not only as an isolated valvular condition, but also a global disease.
Identifiants
pubmed: 36241549
pii: S1875-2136(22)00175-9
doi: 10.1016/j.acvd.2022.06.007
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
578-587Informations de copyright
Copyright © 2022 Elsevier Masson SAS. All rights reserved.