Effects of Artificial Intelligence-Derived Body Composition on Kidney Graft and Patient Survival in the Eurotransplant Senior Program.
Eurotransplant Senior Program (ESP)
artificial intelligence (AI)
body composition
computed tomography (CT)
kidney transplant
transplantation
Journal
Biomedicines
ISSN: 2227-9059
Titre abrégé: Biomedicines
Pays: Switzerland
ID NLM: 101691304
Informations de publication
Date de publication:
26 Feb 2022
26 Feb 2022
Historique:
received:
21
01
2022
revised:
21
02
2022
accepted:
24
02
2022
entrez:
25
3
2022
pubmed:
26
3
2022
medline:
26
3
2022
Statut:
epublish
Résumé
The Eurotransplant Senior Program allocates kidneys to elderly transplant patients. The aim of this retrospective study is to investigate the use of computed tomography (CT) body composition using artificial intelligence (AI)-based tissue segmentation to predict patient and kidney transplant survival. Body composition at the third lumbar vertebra level was analyzed in 42 kidney transplant recipients. Cox regression analysis of 1-year, 3-year and 5-year patient survival, 1-year, 3-year and 5-year censored kidney transplant survival, and 1-year, 3-year and 5-year uncensored kidney transplant survival was performed. First, the body mass index (BMI), psoas muscle index (PMI), skeletal muscle index (SMI), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) served as independent variates. Second, the cut-off values for sarcopenia and obesity served as independent variates. The 1-year uncensored and censored kidney transplant survival was influenced by reduced PMI (
Identifiants
pubmed: 35327356
pii: biomedicines10030554
doi: 10.3390/biomedicines10030554
pmc: PMC8945723
pii:
doi:
Types de publication
Journal Article
Langues
eng
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