Background: Obesity, especially abdominal obesity, has been associated with diabetes. However, few studies focused on the association between obesity indices and diabetic nephropathy, let alone the longitudinal studies. Waist circumference (WC), visceral adiposity index (VAI), Chinese visceral adiposity index (CVAI) and lipid accumulation product (LAP) are described as abdominal obesity indices. The present study aimed to explore the associations between these indices and incident renal events in a 10-year cohort with type 2 diabetes mellitus (T2DM).

Methods: A total of 2709 participants with T2DM from the Beijing Community Diabetes Study were included. Prespecified renal outcomes included incident or worsening nephropathy (progression to macroalbuminuria, doubling of the serum creatinine, initiation of renal-replacement therapy, or renal death) and incident albuminuria. Multivariable Cox regression were applied to analyze the associations between these indices and renal events.

Results: Multivariable analyses indicated that each 1-SD increase in WC, VAI, CVAI and LAP was associated with a higher risk of renal events, with adjusted hazard ratios (HRs) being 1.236 [95% CI (confidence interval): 1.079-1.417], 1.135 (1.026-1.257), 1.295 (1.132-1.483), and 1.144 (1.036-1.263), respectively. Moreover, participants in the highest quartile of abdominal obesity indices were at higher risk of renal events compared to those in the lowest quartile (all P for trend<0.05). However, only CVAI was always significantly positively associated with incident renal events in all subgroups, including gender (male vs. female), age (< 60 years vs. ≥60 years) and ACEI (angiotensin-converting enzyme inhibitor) or ARB (angiotensin II receptor blocker) treatment (no vs. yes).

Conclusion: Abdominal obesity indices could predict renal events in a 10-year cohort with T2DM, and CVAI may be more universal to predict renal events than WC, VAI and LAP in certain population.


C. Ma: None. M. Yuan: None.


Capital's Funds for Health Improvement and Research (2022-1-1101, 2016-1-2057)

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