ArticlePloS one2023
Para-perirenal fat thickness is associated with reduced glomerular filtration rate regardless of other obesity-related indicators in patients with type 2 diabetes mellitus.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- Near-universal prevalence of central adiposity in heart failure with preserved ejection fraction: the PARAGON-HF trial.European heart journal · 2025Trial
- Obesity in Living Kidney Donors from Risk to Ethics: Bridging Gaps in Evaluation and Management.Clinical journal of the American Society of Nephrology : CJASN · 2026Review
- Perirenal Fat Thickness Is Associated With Disturbed Circadian Blood Pressure Rhythm in Essential Hypertension.Journal of clinical hypertension (Greenwich, Conn.) · 2026Article
- Beyond biochemistry: multiparametric ultrasound parameters and their molecular correlates in cardio-renal-metabolic syndrome.Acta biochimica Polonica · 2026Review
- Perinephric fat volume and its negative correlation with the eGFR according to a population health screening: a cross-sectional study.Renal failure · 2025Article
- Chronic Kidney Disease in Patients With Heart Failure With a Preserved Ejection Fraction: The Underlying Role of Visceral Adiposity.Journal of the American College of Cardiology · 2025Review
- Perirenal fat thickness may be a significant predictor of prognosis and postoperative renal function in renal cancer surgery patients.Scientific reports · 2025Article
- Ultrasound for body composition assessment: a narrative review.Internal and emergency medicine · 2025Review
- Perirenal fat thickness is an independent predictor for metabolic syndrome in steatotic liver disease.Scientific reports · 2024Article
- Are we ready for an adipocentric approach in people living with type 2 diabetes and chronic kidney disease?Clinical kidney journal · 2024Review
- The Interplay of Systemic Inflammation and Oxidative Stress in Connecting Perirenal Adipose Tissue to Hyperuricemia in Type 2 Diabetes Mellitus: A Mediation Analysis.Journal of inflammation research · 2024Article
- Obesity-related renal dysfunction: gender-specific influence of visceral adiposity and early impact of metabolic and bariatric surgery.Frontiers in endocrinology · 2024Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo investigate the relationship between estimated glomerular filtration rate (eGFR) and para-perirenal fat thickness in comparison with other indices of adiposity in type 2 diabetes mellitus (T2DM).
methodsThis single-center, retrospective and cross-sectional study evaluated 337 patients with T2DM. The obesity-related indicators including height, weight, body surface area (BSA), body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), para-perirenal fat thickness (PRFT), total abdominal fat (TAF), subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT). eGFR was calculated by CKD-EPI equation. The correlation between eGFR and obesity-related indicators was performed by pearson or spearman correlation analysis and multivariate linear regression.
results337 subjects (mean age, 60.2 ± 11.6 years; 195 males, 57.9%) were evaluated. eGFR was negatively correlated with height, weight, BMI, PRFT, TAF, SAT, and VAT, among which the correlation between eGFR and PRFT was the strongest (r = -0.294, p< 0.001). eGFR remained the strongest correlation with PRFT in the subgroup separated by sex (r = -0.319 in the male subgroup, and -0.432 in the female subgroup, respectively, p < 0.001). Age and PRFT were the independent predictive factors for eGFR. PRFT was the best predictor of chronic kidney disease (CKD) in T2DM (AUC = 0.686, p = 0.001, 95% CI: 0.582-0.791). CKD in T2DM can be predicted well by linking age with PRFT (AUC = 0.708, p<0.001, 95% CI = 0.605-0.812).
conclusionsPRFT is more closely related to glomerular filtration rate than other obesity-related indicators in T2DM. The model combining age with PRFT could predict CKD in T2DM well.
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