Document Type

Journal Article

Publication Title

Cardiovascular Diabetology

Volume

21

Issue

1

PubMed ID

35209907

Publisher

Springer

School

Centre for Precision Health

RAS ID

43591

Funders

National Natural Science Foundation of China (81872708, 82073668)

Comments

Wu, Z., Yu, S., Kang, X., Liu, Y., Xu, Z., Li, Z., ... & Guo, X. (2022). Association of visceral adiposity index with incident nephropathy and retinopathy: a cohort study in the diabetic population. Cardiovascular diabetology, 21(1), 1-9. https://doi.org/10.1186/s12933-022-01464-1

Abstract

Background: The association between visceral adiposity index (VAI) and diabetic complications has been reported in cross-sectional studies, while the effect of VAI on complication development remains unclear. This study aims to evaluate the longitudinal association of VAI and Chinese VAI (CVAI) with the incidence of diabetic nephropathy and retinopathy using a Chinese cohort. Methods: A total of 8 948 participants with type 2 diabetes from Beijing Health Management Cohort were enrolled during 2013–2014, and followed until December 31, 2019. Nephropathy was confirmed by urine albumin/creatinine ratio and estimated glomerular filtration rate; retinopathy was diagnosed using fundus photograph. Results: The mean (SD) age was 53.35 (14.66) years, and 6 154 (68.8%) were men. During a median follow-up of 4.82 years, 467 participants developed nephropathy and 90 participants developed retinopathy. One-SD increase in VAI and CVAI levels were significantly associated with an increased risk of nephropathy, and the adjusted hazard ratios (HR) were 1.127 (95% CI 1.050–1.210) and 1.165 (95% CI 1.003–1.353), respectively. On contrary, VAI and CVAI level were not associated with retinopathy after adjusting confounding factors. Conclusion: VAI and CVAI are independently associated with the development of nephropathy, but not retinopathy in Chinese adults with diabetes.

DOI

10.1186/s12933-022-01464-1

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Research Themes

Health

Priority Areas

Multidisciplinary biological approaches to personalised disease diagnosis, prognosis and management

Included in

Diseases Commons

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