Association of Serum Uric Acid and Metabolic Syndrome in Type 2 Diabetes

ISSN: 1875-6417 (Online)
ISSN: 1573-3998 (Print)


Volume 10, 6 Issues, 2014


Download PDF Flyer




Current Diabetes Reviews

Aims & ScopeAbstracted/Indexed in


Submit Abstracts Online Submit Manuscripts Online

Editor-in-Chief:
Norman E. Cameron
University of Aberdeen
Aberdeen, Scotland
UK


View Full Editorial Board

Subscribe Purchase Articles Order Reprints


Association of Serum Uric Acid and Metabolic Syndrome in Type 2 Diabetes

Author(s): Shokoufeh Bonakdaran and Banafsheh Kharaqani

Affiliation: Endocrine Research Center, Ghaem Hospital, Ahmadabad Street, Mashhad, Iran.

Abstract

Aim: The relationship between elevated serum uric acid level and metabolic syndrome (MS) has been debated. There is no data concerning this relation in Iranian population-based studies. The aim of this study was to determine the prevalence of hyperuricamia and its association with MS in type 2 diabetes mellitus (DM).

Patients and Methods: This was a cross- sectional study in 1978 diabetic patients. Hyperuricamia was defined as uric acid ≥ 7 and ≥ 5.5 mg/dl for men and women respectively. Diagnosis of metabolic syndrome was based on ATPIII criteria. Clinical and biochemical parameters in hyperuricaemic and normouricaemic patients compared with other.

Results: The prevalence of hyperuricaemia and metabolic syndrome was 12.7% and 65.5% respectively. The prevalence of MS significantly increased in the highest quartile of uric acid levels compared with lowest quartile (74.4% vs 55.9%, p<0.001). Serum uric acid had positive association with cholesterol, triglyceride, non-HDL cholesterol and a negative association with fasting blood sugar (FBS), glycosylated hemoglobin (HbA1C) and HDL cholesterol. Possible independent biochemical predictors of hyperuricamia were cholesterol, triglyceride, creatnine and FBS.

Conclusion: The prevalence of MS and its components increases with increasing levels of uric acid in type 2 diabetes. Regular assessment of uric acid could give information for predicting of MS and prevention of atherosclerosis in type 2 diabetes.


Keywords: Diabetes, hypertension, insulin resistance, metabolic syndrome, uric acid.

Purchase Online Rights and Permissions

  
  



Article Details

Volume: 10
Issue Number: 2
First Page: 113
Last Page: 117
Page Count: 5
DOI: 10.2174/1573399810666140228160938
Advertisement

Related Journals




Webmaster Contact: urooj@benthamscience.org Copyright © 2014 Bentham Science