Evaluation of association of hyperuricaemia with metabolic syndrome and insulin resistance

Naveen Reddy Avula, Damodar Shenoy

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


Introduction: The prevalence of Metabolic Syndrome (MetS) ranges from <10% to as much as 84% depending on region and composition of the population studied. The MetS is a growing public health problem in the world. Aim: To evaluate association of hyperuricaemia with components of MetS and insulin resistance. Materials and Methods: Sixty patients with MetS were conveniently recruited. MetS was defined as per ATP III guidelines. For the purpose of analysis study participants were grouped into, group-I (controls-normal serum uric acid levels) and group-II (cases-hyperuricaemia). Hyperuricaemia was defined with cut-off >6.8mg/dl in both men and women. Associated work up for MetS and insulin resistance like fasting blood sugar, fasting lipid profile, fasting insulin, serum uric acid was done. Blood pressure and anthropometric measurements including weight, height & waist circumferences were measured and BMI was calculated. HOMA IR method was used to measure the degree of insulin resistance. Logistic regression analysis was used to evaluate association of hyperuricaemia with Mets and insulin resistance. Receiver Operating Curve (ROC) was plotted to find out optimum cut-off value for insulin resistance. Results: A significant increase in systolic blood pressure (p < 0.001) and triglyceride levels (p=0.027) were observed in hyperuricaemia subjects when compared to controls. After adjusting for potential confounders, Insulin resistance (HOMA IR >3.4) was independently associated with hyperuricaemia (OR=5.79, 95% CI=1.6-20.69, p=0.007). Conclusion: Insulin resistance beyond a threshold is independently associated with hyperuricaemia in subjects with MetS.

Original languageEnglish
Pages (from-to)OC32-OC34
JournalJournal of Clinical and Diagnostic Research
Issue number12
Publication statusPublished - 01-12-2016

All Science Journal Classification (ASJC) codes

  • Clinical Biochemistry


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