Correlation of HbA1c levels with CT-based body composition biomarkers in diabetes mellitus and metabolic syndrome.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
19 09 2024
19 09 2024
Historique:
received:
24
07
2024
accepted:
10
09
2024
medline:
20
9
2024
pubmed:
20
9
2024
entrez:
19
9
2024
Statut:
epublish
Résumé
Diabetes mellitus and metabolic syndrome are closely linked with visceral body composition, but clinical assessment is limited to external measurements and laboratory values including hemoglobin A1c (HbA1c). Modern deep learning and AI algorithms allow automated extraction of biomarkers for organ size, density, and body composition from routine computed tomography (CT) exams. Comparing visceral CT biomarkers across groups with differing glycemic control revealed significant, progressive CT biomarker changes with increasing HbA1c. For example, in the unenhanced female cohort, mean changes between normal and poorly-controlled diabetes showed: 53% increase in visceral adipose tissue area, 22% increase in kidney volume, 24% increase in liver volume, 6% decrease in liver density (hepatic steatosis), 16% increase in skeletal muscle area, and 21% decrease in skeletal muscle density (myosteatosis) (all p < 0.001). The multisystem changes of metabolic syndrome can be objectively and retrospectively measured using automated CT biomarkers, with implications for diabetes, metabolic syndrome, and GLP-1 agonists.
Identifiants
pubmed: 39300115
doi: 10.1038/s41598-024-72702-7
pii: 10.1038/s41598-024-72702-7
doi:
Substances chimiques
Glycated Hemoglobin
0
Biomarkers
0
hemoglobin A1c protein, human
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
21875Informations de copyright
© 2024. The Author(s).
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