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:: Volume 1, Issue 1 (Journal of Clinical and Basic Research (JCBR) 2017) ::
jcbr 2017, 1(1): 11-16 Back to browse issues page
Triglyceride-Glucose Index Simulation
S. Mehran Hosseini
Abstract:   (599 Views)


Introduction: Since its introduction as a marker of insulin resistance, the triglyceride-glucose (TyG) index has increasingly been used in biomedical literature. However, the TyG index formula seems to be calculated in two different ways, which may consequently produce some confusion regarding the normal cut-offs and cause potential errors in comparing different data. This study tries to explore this discrepancy. Materials and Methods: The TyG index was simulated for different ranges of triglyceride (TG) and fasting blood sugar (FBS). The PubMed and Scopus databases were searched for the TyG index. The results were limited to articles that have mentioned the FBS and TG values. The TyG index was recalculated and compared using the reported FBS and TG values in two different ways. Results: The simulated and reported normal cut-off values for the TyG index in the literature were roughly around 4 and 8. This discrepancy was due to different method of calculating the TyG index, and independent from factors such as age, gender and ethnicity of sampled population. Conclusions: In the TyG index formula, the division sign must be moved out of the square bracket. Otherwise, the normal range must be considered around 8. If the normal value of TyG index is reported as 4, its calculation should be referred to a corrected form of the original formula e.g. ln[FBS(mg/dl) × TG (mg/dl)]/2.

KEYWORDS: TyG index, Insulin resistance

Keywords: TyG index, Insulin resistance
Full-Text [PDF 498 kb]   (525 Downloads)    
Type of Study: Research | Subject: Statistics and epidemiology
Received: 2017/01/2 | Accepted: 2017/02/8 | Published: 2017/05/13
1. 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(4):299-304. [DOI:10.1089/met.2008.0034]
2. Guerrero-Romero F, Simental-Mendía LE, González-Ortiz M, Martínez-Abundis E, Ramos-Zavala MG, Hernández-González SO, Jacques-Camarena O, Rodríguez-Morán M. The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp. . J Clin Endocrinol Metab 2010; 95(7):3347-3351. [DOI:10.1210/jc.2010-0288]
3. Abbasi F, Reaven GM. Comparison of two methods using plasma triglyceride concentration as a surrogate estimate of insulin action in nondiabetic subjects: triglycerides × glucose versus triglyceride/high-density lipoprotein cholesterol. Metabolism 2011; 60(12):1673-1676. [DOI:10.1016/j.metabol.2011.04.006]
4. Vasques AC, Novaes FS, de Oliveira Mda S, Souza JR, Yamanaka A, Pareja JC, Tambascia MA, Saad MJ, Geloneze B (2011) TyG index performs better than HOMA in a Brazilian population: a hyperglycemic clamp validated study. Diabetes Res Clin Pract Sep;93(3):e98-e100. [DOI:10.1016/j.diabres.2011.05.030]
5. Ivović M, Marina LV, Vujović S, Tančić-Gajić M, Stojanović M, Radonjić NV, Gajić M, Soldatović I, Micić D. Nondiabetic patients with either subclinical Cushing\'s or nonfunctional adrenal incidentalomas have lower insulin sensitivity than healthy controls: clinical implications. Metabolism 2013; 62(6):786-792. [DOI:10.1016/j.metabol.2012.12.006]
6. Borali A, Livingstone C, Kaddam I, Ferns G. Selection of the appropriate method for the assessment of insulin resistance.BMC Medical Research Methodology 2011; 11:158-168. [DOI:10.1186/1471-2288-11-158]
7. Irace C, Carallo C, Scavelli FB, De Franceschi MS, Esposito T, Tripolino C, Gnasso A. Markers of insulin resistance and carotid atherosclerosis. A comparison of the homeostasis model assessment and triglyceride glucose index. Int J Clin Pract 2013; 67(7):665-672. [DOI:10.1111/ijcp.12124]
8. Petta S, Di Marco V, Di Stefano R, Cabibi D, Cammà C, Marchesini G, Craxì A. TyG index, HOMA score and viral load in patients with chronic hepatitis C due to genotype 1. J Viral Hepat 2011; 18(7):e372-380. [DOI:10.1111/j.1365-2893.2011.01439.x]
9. Lucatello F, Vigna L, Carugno M, Tirelli AS, Bertazzi PA, Riboldi L. Comparison of indexes for assessing insulin resistance for the health surveillance among workers. G Ital Med Lav Ergon 2012; 34(3 Suppl):748-749.
10. Mericq V, Salas P, Pinto V, Cano F, Reyes L, Brown K, Gonzalez M, Michea L, Delgado I, Delucchi A. Steroid withdrawal in pediatric kidney transplant allows better growth, lipids and body composition: a randomized controlled trial. Horm Res Paediatr 2013; 79(2):88-96. [DOI:10.1159/000347024]
11. Bastard JP, Lavoie ME, Messier V, Prud\'homme D, Rabasa-Lhoret R. Evaluation of two new surrogate indices including parameters not using insulin to assess insulin sensitivity/resistance in non-diabetic postmenopausal women: a MONET group study. Diabetes Metab 2012; 38(3):258-263. [DOI:10.1016/j.diabet.2012.01.004]
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Hosseini S M. Triglyceride-Glucose Index Simulation. jcbr. 2017; 1 (1) :11-16
URL: http://jcbr.goums.ac.ir/article-1-22-en.html

Volume 1, Issue 1 (Journal of Clinical and Basic Research (JCBR) 2017) Back to browse issues page
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