Evaluation of Association of Hyperuricaemia with Metabolic Syndrome and Insulin Resistance
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 insu...
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doaj-df51d66b3b01466eb302b043956c2c802020-11-25T03:20:50ZengJCDR Research and Publications Private LimitedJournal of Clinical and Diagnostic Research2249-782X0973-709X2016-12-011012OC32OC3410.7860/JCDR/2016/22182.9113Evaluation of Association of Hyperuricaemia with Metabolic Syndrome and Insulin ResistanceNAVEEN REDDY AVULA0DAMODAR SHENOY1Post Graduate, Department of Internal Medicine, Kasturba Medical College, Mangalore, Karnataka, India.Professor and Head, Department of Internal Medicine, Kasturba Medical College, Mangalore, Karnataka, India.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 Adult Treatment Panel III (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 and 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.https://jcdr.net/articles/PDF/9113/22182_CE[Ra]_F(Sh)_PF1(GU_RO)_PFA(NC_AK)_PF2(PAG).pdfhomeostasis model assessment of insulin resistancepublic health problemserum uric acid |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
NAVEEN REDDY AVULA DAMODAR SHENOY |
spellingShingle |
NAVEEN REDDY AVULA DAMODAR SHENOY Evaluation of Association of Hyperuricaemia with Metabolic Syndrome and Insulin Resistance Journal of Clinical and Diagnostic Research homeostasis model assessment of insulin resistance public health problem serum uric acid |
author_facet |
NAVEEN REDDY AVULA DAMODAR SHENOY |
author_sort |
NAVEEN REDDY AVULA |
title |
Evaluation of Association of Hyperuricaemia with Metabolic Syndrome and Insulin Resistance |
title_short |
Evaluation of Association of Hyperuricaemia with Metabolic Syndrome and Insulin Resistance |
title_full |
Evaluation of Association of Hyperuricaemia with Metabolic Syndrome and Insulin Resistance |
title_fullStr |
Evaluation of Association of Hyperuricaemia with Metabolic Syndrome and Insulin Resistance |
title_full_unstemmed |
Evaluation of Association of Hyperuricaemia with Metabolic Syndrome and Insulin Resistance |
title_sort |
evaluation of association of hyperuricaemia with metabolic syndrome and insulin resistance |
publisher |
JCDR Research and Publications Private Limited |
series |
Journal of Clinical and Diagnostic Research |
issn |
2249-782X 0973-709X |
publishDate |
2016-12-01 |
description |
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 Adult
Treatment Panel III (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 and 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. |
topic |
homeostasis model assessment of insulin resistance public health problem serum uric acid |
url |
https://jcdr.net/articles/PDF/9113/22182_CE[Ra]_F(Sh)_PF1(GU_RO)_PFA(NC_AK)_PF2(PAG).pdf |
work_keys_str_mv |
AT naveenreddyavula evaluationofassociationofhyperuricaemiawithmetabolicsyndromeandinsulinresistance AT damodarshenoy evaluationofassociationofhyperuricaemiawithmetabolicsyndromeandinsulinresistance |
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