Serum uric acid associates with the incidence of type 2 diabetes in a prospective cohort of middle-aged and elderly Chinese

Endocrine. 2011 Aug;40(1):109-16. doi: 10.1007/s12020-011-9449-2. Epub 2011 Mar 23.

Abstract

This study is to prospectively investigate the association between serum uric acid and the incidence of type 2 diabetes in middle-aged and elderly Chinese. This study consisted of 924 non-diabetic adults aged 40 years or older at baseline. Subjects who received antidiabetic therapies and those who responded positively to the 75-g oral glucose tolerance test according to the 1999 World Health Organization criteria were diagnosed as having type 2 diabetes. Ninety-eight subjects developed type 2 diabetes during the 3.5-year follow-up. The hazard ratio (HR) for incident diabetes was 1.50 [95% confidence interval (CI) 1.18-1.92] for the highest sex-specific quartile of serum uric acid compared with the lowest after controlling for confounders. Participants with hyperuricemia had an HR of 1.95 (95% CI 1.11-3.44) for incident diabetes compared with those without hyperuricemia. Compared with the lowest quartile, the highest quartile had an HR for incident diabetes of 2.45 (95% CI 1.39-4.33) in men and 1.39 (95% CI 1.04-1.84) in women after fully adjustment. Adding serum uric acid to a model of conventional risk factors for diabetes improved the area under the curve for prediction of type 2 diabetes by 5%. Serum uric acid was an independent predictor of incident type 2 diabetes in middle-aged and elderly Chinese.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Biomarkers / blood
  • China
  • Cohort Studies
  • Diabetes Mellitus, Type 2 / blood
  • Diabetes Mellitus, Type 2 / epidemiology*
  • Diabetes Mellitus, Type 2 / ethnology*
  • Female
  • Follow-Up Studies
  • Humans
  • Hyperuricemia / blood*
  • Hyperuricemia / complications
  • Incidence
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Prospective Studies
  • Risk Factors
  • Uric Acid / blood*

Substances

  • Biomarkers
  • Uric Acid