Intramuscular Fat Assessed by Artificial Intelligence (AI)‐Assisted Muscle Ultrasound: Association With Cardiometabolic Risk Factors and Diabetic Nephropathy in Diabetes Mellitus
Main finding · Diabetic nephropathyResult — go to the resultOdds ratio 6.01 95% CI 1.99–18.14Authors' conclusion
AI-assisted ultrasound-derived FATi is associated with adverse metabolic profiles and diabetic nephropathy.
Study context
- Population
- Outpatients with diabetes mellitus (DM) at a tertiary Endocrinology and Nutrition Department; mean age 70.8 ± 10.3 years, 57.5% men, 79.2% T2D, diabetes duration 13.8 ± 9.6 years, HbA1c 8.1% ± 1.5%
- Participants
- 120 outpatients
- Exposure
- Highest FATi quartile vs lower quartiles
- Outcome
- Association of intramuscular fat (IMF) (FATi, AI-assisted US of rectus femoris) with diabetes-related complications (particularly diabetic nephropathy) and metabolic risk factors
Methodological detailssingle-centre
- Single-centre
Main finding
Diabetic nephropathy
Odds ratio
6.01
95% CI 1.99–18.14
P < 0.01
By group
FATi
OR 6.01 (95% CI 1.99–18.14); P < 0.01
As reported in the abstract
Observational data: associations, not effects.
Further findings
eGFR
P = 0.045
ROC analysis of FATi for nephropathy
- FATi threshold
- 43.5%
- AUC (modest discriminative ability)
- 0.668
Microvascular complications
- Higher prevalence of microvascular complications in highest FATi quartile
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
Intramuscular Fat Assessed by AI‐Assisted Muscle Ultrasound: Association With Cardiometabolic Risk Factors and Diabetic Nephropathy in Diabetes Mellitus. Diabetes Obes Metab. Published 24 August 2026. doi:10.
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