Artificial Intelligence-Derived Electrocardiogram Assessment of Cardiac Age and Molecular Markers of Senescence in Heart Failure.
Journal
Mayo Clinic proceedings
ISSN: 1942-5546
Titre abrégé: Mayo Clin Proc
Pays: England
ID NLM: 0405543
Informations de publication
Date de publication:
03 2023
03 2023
Historique:
received:
06
01
2022
revised:
27
05
2022
accepted:
12
10
2022
entrez:
3
3
2023
pubmed:
4
3
2023
medline:
8
3
2023
Statut:
ppublish
Résumé
To ascertain whether heart failure (HF) itself is a senescent phenomenon independent of age, and how this is reflected at a molecular level in the circulating progenitor cell niche, and at a substrate level using a novel electrocardiogram (ECG)-based artificial intelligence platform. Between October 14, 2016, and October 29, 2020, CD34 CD34 We conclude from this pilot study that HF may promote a senescent phenotype independent of chronological age. We show for the first time that the AI ECG in HF shows a phenotype of cardiac aging beyond chronological age, and appears to be associated with cellular and molecular evidence of senescence.
Identifiants
pubmed: 36868745
pii: S0025-6196(22)00619-X
doi: 10.1016/j.mayocp.2022.10.026
pii:
doi:
Substances chimiques
Telomerase
EC 2.7.7.49
Biomarkers
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
372-385Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2022 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.