Key result
Renal sinus fat volume index predicts DKD in T2D better than conventional obesity measures.
Why the study?
It was unknown whether peri-renal and renal sinus fat volume indices predict diabetic kidney disease better than general or abdominal obesity measures in Japanese adults with type 2 diabetes.
Do peri-renal and renal sinus fat volume indices predict the development of diabetic kidney disease better than general or abdominal obesity measures in adults with type 2 diabetes?
Do peri-renal and renal sinus fat volume indices predict the development of diabetic kidney disease better than general or abdominal obesity measures in adults with type 2 diabetes?
Answers are grounded in this paper and cite their sources.
Renal sinus fat volume index measured by CT is an independent predictor of diabetic kidney disease in patients with type 2 diabetes, offering better predictive value than standard obesity metrics.
AIMS: This 15-year cohort study assessed whether peri-renal fat volume index (PRFVI) and renal sinus fat volume index (RSFVI) predict diabetic kidney disease (DKD) better than general or abdominal obesity measures in Japanese adults with type 2 diabetes (T2D). METHODS: Researchers studied 190 DKD-free individuals, measured their abdominal and renal fat via computed tomography, and categorized them into tertiles based on five adiposity indices: body mass index (BMI), visceral fat area (VFA), subcutaneous fat area (SFA), PRFVI, and RSFVI. RESULTS: Participants averaged 58 years old; 52.6 % were male with a median diabetes duration of 5 years and a BMI of 25.4 kg/m CONCLUSIONS: The findings demonstrate that renal fat measure, particularly RSFVI, provides incremental predictive value independent of conventional DKD risk variables, suggesting that local renal fat may be a target for early DKD detection and intervention in people with T2D.
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Tanabe et al. (2025) studied this question. Renal sinus fat volume index (RSFVI) offers superior predictive value for diabetic kidney disease compared to conventional obesity measures in type 2 diabetes.
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