Associations between body mass index and the risk of renal events in patients with type 2 diabetes
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Author(s)
Type
Journal Article
Abstract
BACKGROUND/OBJECTIVES: We aimed to evaluate the relationship between BMI and the risk of renal disease in patients with type 2 diabetes in the Action in Diabetes and Vascular Disease: PreterAx and DiamicroN Modified-Release Controlled Evaluation (ADVANCE) study. SUBJECTS/METHODS: Participants were divided into six baseline BMI categories: <18.5 (underweight, n = 58); ≥18.5 to <25 (normal, n = 2894); ≥25 to <30 (overweight, n = 4340); ≥30 to <35 (obesity grade 1, n = 2265); ≥35 to <40 (obesity grade 2, n = 744); and ≥40 kg/m2(obesity grade 3, n = 294); those underweight were excluded. The composite outcome "major renal event" was defined as development of new macroalbuminuria, doubling of creatinine, end stage renal disease, or renal death. These outcomes and development of new microalbuminuria were considered individually as secondary endpoints. RESULTS: During 5-years of follow-up, major renal events occurred in 487 (4.6%) patients. The risk increased with higher BMI. Multivariable-adjusted HRs (95% CIs), compared to normal weight, were: 0.91 (0.72-1.15) for overweight; 1.03 (0.77-1.37) for obesity grade 1; 1.42 (0.98-2.07) for grade 2; and 2.16 (1.34-3.48) for grade 3 (p for trend = 0.006). These findings were similar across subgroups by randomised interventions (intensive versus standard glucose control and perindopril-indapamide versus placebo). Every additional unit of BMI over 25 kg/m2increased the risk of major renal events by 4 (1-6)%. Comparable results were observed with the risk of secondary endpoints. CONCLUSIONS: Higher BMI is an independent predictor of major renal events in patients with type 2 diabetes. Our findings encourage weight loss to improve nephroprotection in these patients.
Date Issued
2018-01-17
Date Acceptance
2017-06-22
Citation
Nutrition & Diabetes, 2018, 8 (1)
ISSN
2044-4052
Publisher
Nature Publishing Group
Journal / Book Title
Nutrition & Diabetes
Volume
8
Issue
1
Copyright Statement
© The Author(s) 2018. This article is licensed under a Creative Commons Attribution 4.0 Internat
ional License, which permits use, sharing, adaptation, distribution and
reproduction
in any medium or format, as long as you give appropriate credit to the origina
l author(s) and the source, provide a li
nktotheCreativeC
ommons license,
and indicate if
changes were made. The images or other third party material in this article are included in the article
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s Creative Commons license, unless indicated
otherwise in a credit line to the material. If
material is not included in the article
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s Creative Commons license and your intended use is not permitted by sta
tutory regulation or exceeds the permitted use, you will need to obtain
permission directly from the copyright hol
der. To view a copy of this license, visit
http://creativecommons
.org/licenses/by/4.0/
ional License, which permits use, sharing, adaptation, distribution and
reproduction
in any medium or format, as long as you give appropriate credit to the origina
l author(s) and the source, provide a li
nktotheCreativeC
ommons license,
and indicate if
changes were made. The images or other third party material in this article are included in the article
’
s Creative Commons license, unless indicated
otherwise in a credit line to the material. If
material is not included in the article
’
s Creative Commons license and your intended use is not permitted by sta
tutory regulation or exceeds the permitted use, you will need to obtain
permission directly from the copyright hol
der. To view a copy of this license, visit
http://creativecommons
.org/licenses/by/4.0/
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/29343817
PII: 10.1038/s41387-017-0012-y
Publication Status
Published
Coverage Spatial
England
Article Number
ARTN 7