Korean J Fam Pract 2019; 9(3): 266-271  https://doi.org/10.21215/kjfp.2019.9.3.266
The Relationship between Hyperuricemia and Triglyceride Glucose Index: Based on 2016 Korean National Health and Nutrition Examination Survey
Joon-Suk Byun, Ju-No Kim, Yu-Shin Song, Yong-Kyun Roh, Min-Kyu Choi*
Department of Family Medicine, Hallym University Kangnam Sacred Heart Hospital, Seoul, Korea
Min-Kyu Choi
Tel: +82-2-829-5271, Fax: +82-2-829-5365
E-mail: abbi21c@hallym.or.kr
Received: August 8, 2018; Revised: November 12, 2018; Accepted: December 26, 2018; Published online: June 20, 2019.
© The Korean Academy of Family Medicine. All rights reserved.

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Background: Hyperuricemia refers to an excess of uric acid in the blood and is associated with gouty arthritis, hypertension, metabolic syndrome, atrial fibrillation, kidney stones, insulin resistance (IR), and type 2 diabetes mellitus. Previous studies have used the homeostatic model assessment of IR (HOMA-IR), a well-known index of IR, to investigation the correlation between serum uric acid levels and IR. However, difficulty with measuring insulin levels limits the clinical applicability of the HOMA-IR index. This study investigated the correlation between hyperuricemia and the triglyceride glucose (TyG) index.
Methods: We used data from the Seventh Korea National Health and Nutrition Examination Survey, 2016. The study population included adults without diabetes aged >19 years. The TyG index, which serves as an indicator of IR, was calculated using fasting serum glucose and triglyceride levels to investigate the correlation between the TyG index and hyperuricemia. Pearson’s correlation coefficient and analysis of covariance were used for statistical analysis, which was performed using IBM SPSS software.
Results: Astatistically significant correlation was observed between serum uric acid levels and the TyG index. After adjustment for factors that may affect IR (age, body mass index, waist circumference, and systolic and diastolic blood pressures), we observed that the TyG index was significantly higher in the hyperuricemia than in the non-hyperuricemia group (8.96 vs. 8.54, P<0.001).
Conclusion: Serum uric acid levels were significantly correlated with IR assessed using the TyG index in adults without diabetes aged >19 years.
Keywords: Hyperuricemia; Insulin Resistance; Triglyceride; Glucose; Korea National Health and Nutrition Examination Survey
References
  1. Burns CM, Wortmann RL. Disorders of purine and pyrimidine metabolism. In: Kasper D, Fauci A, Hauser S, Longo D, Jameson JL, Loscalzo J, editors. Harrison's principles of internal medicine. 19th ed. New York: Mc-Graw-Hill Education; 2016. p. 431e-1-6.
  2. Johnson RJ, Rideout BA. Uric acid and diet--insights into the epidemic of cardiovascular disease. N Engl J Med 2004; 350: 1071-3.
    Pubmed CrossRef
  3. Eggebeen AT. Gout: an update. Am Fam Physician 2007; 76: 801-8.
    Pubmed
  4. Zhu Y, Pandya BJ, Choi HK. Prevalence of gout and hyperuricemia in the US general population: the National Health and Nutrition Examination Survey 2007-2008. Arthritis Rheum 2011; 63: 3136-41.
    Pubmed CrossRef
  5. Krishnan E, Kwoh CK, Schumacher HR, Kuller L. Hyperuricemia and incidence of hypertension among men without metabolic syndrome. Hypertension 2007; 49: 298-303.
    Pubmed CrossRef
  6. Grassi D, Ferri L, Desideri G, Di Giosia P, Cheli P, Del Pinto R, et al. Chronic hyperuricemia, uric acid deposit and cardiovascular risk. Curr Pharm Des 2013; 19: 2432-8.
    Pubmed KoreaMed CrossRef
  7. Valbusa F, Bertolini L, Bonapace S, Zenari L, Zoppini G, Arcaro G, et al. Relation of elevated serum uric acid levels to incidence of atrial fibrillation in patients with type 2 diabetes mellitus. Am J Cardiol 2013; 112: 499-504.
    Pubmed CrossRef
  8. Choi BG, Kim DJ, Baek MJ, Ryu YG, Kim SW, Lee MW, et al. Hyperuricaemia and development of type 2 diabetes mellitus in Asian population. Clin Exp Pharmacol Physiol 2018; 45: 499-506.
    Pubmed CrossRef
  9. Juraschek SP, McAdams-Demarco M, Miller ER, Gelber AC, Maynard JW, Pankow JS, et al. Temporal relationship between uric acid concentration and risk of diabetes in a community-based study population. Am J Epidemiol 2014; 179: 684-91.
    Pubmed KoreaMed CrossRef
  10. Krishnan E, Pandya BJ, Chung L, Hariri A, Dabbous O. Hyperuricemia in young adults and risk of insulin resistance, prediabetes, and diabetes: a 15-year follow-up study. Am J Epidemiol 2012; 176: 108-16.
    Pubmed CrossRef
  11. Elizalde-Barrera CI, Estrada-García T, Lozano-Nuevo JJ, Garro-Almendaro AK, López-Saucedo C, Rubio-Guerra AF. Serum uric acid levels are associated with homeostasis model assessment in obese nondiabetic patients:HOMA and uric acid. Ther Adv Endocrinol Metab 2017; 8: 141-6.
    Pubmed KoreaMed CrossRef
  12. de Miranda JA, Almeida GG, Martins RI, Cunha MB, Belo VA, dos Santos JE, et al. The role of uric acid in the insulin resistance in children and adolescents with obesity. Rev Paul Pediatr 2015; 33: 431-6.
    Pubmed KoreaMed CrossRef
  13. Lee SH, Kwon HS, Park YM, Ha HS, Jeong SH, Yang HK, et al. Predicting the development of diabetes using the product of triglycerides and glucose: the Chungju Metabolic Disease Cohort (CMC) study. PLoS One 2014; 9:e90430.
    Pubmed KoreaMed CrossRef
  14. Unger G, Benozzi SF, Perruzza F, Pennacchiotti GL. Triglycerides and glucose index: a useful indicator of insulin resistance. Endocrinol Nutr 2014;61: 533-40.
    Pubmed CrossRef
  15. Simental-Mendía LE, Rodríguez-Morán M, Guerrero-Romero F. The product of fasting glucose and triglycerides as surrogate for identifying insulin resistance in apparently healthy subjects. Metab Syndr Relat Disord 2008; 6:299-304.
    Pubmed CrossRef
  16. Vasques AC, Novaes FS, de Oliveira Mda S, Souza JR, Yamanaka A, Pareja JC, et al. TyG index performs better than HOMA in a Brazilian population:a hyperglycemic clamp validated study. Diabetes Res Clin Pract 2011; 93:e98-100.
    Pubmed CrossRef
  17. Guerrero-Romero F, Simental-Mendía LE, González-Ortiz M, Martínez-Abundis E, Ramos-Zavala MG, Hernández-González SO, et al. The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp. J Clin Endocrinol Metab 2010; 95: 3347-51.
    Pubmed CrossRef
  18. Korea Centers for Disease Control and Prevention. The 7th Korean National Health and Nutrition Examination Survey [Internet]. Osong: KCDC;2016. [cited 2018 Jun].
    Available from: cdc.go.kr
  19. Lee DY, Lee ES, Kim JH, Park SE, Park CY, Oh KW, et al. Predictive value of triglyceride glucose index for the risk of incident diabetes: a 4-Year Retrospective Longitudinal Study. PLoS One 2016; 11: e0163465.
    Pubmed KoreaMed CrossRef
  20. Lee S, Kang ES, Lee KE, Jin H, Choi SH, Kim DJ, et al. Insulin resistance can predict the risk of metabolic syndrome. Korean J Med 2002; 63: 54-60.

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