Sarcopenia and adipose tissue evaluation by artificial intelligence predicts the overall survival after TAVI.
Artificial intelligence
Sarcopenia
Subcutaneous adipose tissue
Survival
TAVI
Visceral adipose tissue
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
17 04 2024
17 04 2024
Historique:
received:
16
01
2024
accepted:
08
04
2024
medline:
19
4
2024
pubmed:
18
4
2024
entrez:
17
4
2024
Statut:
epublish
Résumé
Sarcopenia is a serious systemic disease that reduces overall survival. TAVI is selectively performed in patients with severe aortic stenosis who are not indicated for open cardiac surgery due to severe polymorbidity. Artificial intelligence-assisted body composition assessment from available CT scans appears to be a simple tool to stratify these patients into low and high risk based on future estimates of all-cause mortality. Within our study, the segmentation of preprocedural CT scans at the level of the lumbar third vertebra in patients undergoing TAVI was performed using a neural network (AutoMATiCA). The obtained parameters (area and density of skeletal muscles and intramuscular, visceral, and subcutaneous adipose tissue) were analyzed using Cox univariate and multivariable models for continuous and categorical variables to assess the relation of selected variables with all-cause mortality. 866 patients were included (median(interquartile range)): age 79.7 (74.9-83.3) years; BMI 28.9 (25.9-32.6) kg/m
Identifiants
pubmed: 38632317
doi: 10.1038/s41598-024-59134-z
pii: 10.1038/s41598-024-59134-z
pmc: PMC11024085
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
8842Subventions
Organisme : Ministerstvo Školství, Mládeže a Tělovýchovy
ID : MUNI/A/1547/2023
Organisme : Ministerstvo Školství, Mládeže a Tělovýchovy
ID : MUNI/A/1555/2023
Informations de copyright
© 2024. The Author(s).
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