The role of triglyceride/glucose index in predicting coronary artery disease severity

The role of triglyceride/glucose index in predicting coronary artery disease severity

Triglyceride-glucose index is a novel marker for metabolic disorders and insulin resistance and is known to be in close association with the presence, prognosis, and severity of coronary artery disease. However, few reports were evaluated the predictability of the Triglyceride-glucose index for the severity of coronary artery disease and the need for coronary intervention in patients undergoing coronary angiography. We aimed to evaluate this predictability in our study. This study was a retrospective observational cohort study. 310 patients diagnosed with coronary artery disease that underwent coronary angiography between April 2019 and March 2020 were randomly selected from the hospital database and evaluated. Index was calculated as Ln (fasting triglyceride (mg/dl) × fasting glucose (mg/dl) / 2). Patients were divided into two groups according to final treatment as Medical or Intervention. While glucose values differed significantly between the groups that underwent medical treatment and interventional treatment, triglyceride measurements were found quite close to each other. However, the value of the Triglyceride-Glucose index differed significantly between the groups (p=0.001). The index was found as 9.15±0.69 in the patients who underwent interventional treatment, and it was found to be lower as 8.91±0.54 in the medical treatment group. While total cholesterol, LDL, and HDL differed significantly between the groups. Creatinine, glomerular filtration rate; and ejection fraction values differed significantly between the groups. Triglyceride-Glucose index that can simply be calculated from routine blood parameters, could be a predictive parameter for complex coronary lesions that could need advanced interventions; yet further investigations are needed.

___

  • 1. Fox KAA, Carruthers KF, Dunbar DR, et al. Underestimated and underrecognized: the late consequences of acute coronary syndrome (GRACE UK–Belgian Study). Eur Heart J2010;31:2755-64.
  • 2. Odegaard JI., Chawla A. Pleiotropic actions of insulin resistance and inflammation in metabolic homeostasis. Science2013;339:172-7.
  • 3. Caccamo G, Bonura F, Vitale G et al. Insulin resistance and acute coronary syndrome. Atherosclerosis2010;211:672-5.
  • 4. Laakso M, Kuusisto J. Insulin resistance and hyperglycaemia in cardiovascular disease development. Nat Rev Endocrinol. 2014;10:293-302.
  • 5. Laakso M. Is insulin resistance a feature of or a primary risk factor for cardiovascular disease? Curr Diab Rep. 2015;15:1-9.
  • 6. Cerf ME. Beta cell dysfunction and insulin resistance. Front Endocrinol (Lausanne). 2013;4:37.
  • 7. Zhao LP, Zu WT, Wang L et al. Influence of insulin resistance on in-stent restenosis in patients undergoing coronary drug-eluting stent implantation after long-term angiographic follow-up. Coron Artery Dis. 2015;26:5-10.
  • 8. Armstrong, EJ, McCabe JM. Insulin resistance and in-stent restenosis: could modulating insulin improve outcomes of percutaneous coronary intervention? Coron Artery Dis. 2015;26:1-2.
  • 9. Miselli MA, Passaro A, Tomasi F et al. Plasma triglycerides predict tenyears all-cause mortality in outpatients with type 2 diabetes mellitus: a longitudinal observational study. Cardiovasc Diabetol. 2014;13:1-8.
  • 10. Di Angelantonio E, Sarwar N, Perry P et al. Major lipids, apolipoproteins, and risk of vascular disease. JAMA. 2009;302:1993-2000.
  • 11. Amiri P, Karimi M, Taherian R et al. Factors associated with pre-diabetes in Tehranian men and women: A structural equations modeling. PloS One. 2017;12: e0188898.
  • 12. Schmidt MI, Duncan BB, Bang H et al. Identifying individuals at high risk for diabetes: The Atherosclerosis Risk in Communities study. Diabetes Care. 2005;28:2013-8.
  • 13. Wilson PWF, Meigs JB, Sullivan L et al. Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study. Arch Intern Med. 2007;167:1068-74.
  • 14. Miller M, Seidler A, Pearson TA et al. Normal triglyceride levels and coronary artery disease events: the Baltimore Coronary Observational Long-Term Study. J Am Coll Cardiol. 1998;31:1252-7.
  • 15. Shaye K, Amir T, Shlomo S et al. Fasting glucose levels within the high normal range predict cardiovascular outcome. Am Heart J. 2012;164:111-6.
  • 16. Angoorani P, Heshmat R, Ejdahed HS et al. Validity of triglyceride–glucose index as an indicator for metabolic syndrome in children and adolescents: the CASPIAN-V study. Eating and Weight Disorders-Studies on Anorexia, Bulimia and Obesity. 2018;23:877-83.
  • 17. Mao Q, Zhou D, Li Y et al. The Triglyceride-Glucose Index Predicts Coronary Artery Disease Severity and Cardiovascular Outcomes in Patients with Non-ST-Segment Elevation Acute Coronary Syndrome. Dis Markers. 2019;6891537.
  • 18. da Silva, A, Caldas APS, Rocha DMUP et al. Triglyceride-glucose index predicts independently type 2 diabetes mellitus risk: A systematic review and meta-analysis of cohort studies. Prim Care Diabetes. 2020.
  • 19. Wang Y, Yang W, Jiang X. Association between triglyceride-glucose index and hypertension: a meta-analysis. Front Cardiovasc Med. 2021;8:460.
  • 20. Hong S, Han K, Park CY. The triglyceride glucose index is a simple and low-cost marker associated with atherosclerotic cardiovascular disease: a population-based study. BMC Med. 2020;18:1-8.
  • 21. Won KB, Lee BK, Park HB et al. Quantitative assessment of coronary plaque volume change related to triglyceride glucose index: The Progression of Atherosclerotic Plaque Determined by Computed Tomographic Angiography Imaging (PARADIGM) registry. Cardiovasc Diabetol. 2020;19:1-10.
  • 22. Karaduman BD, Ayhan T, Keleş T et al. The triglyceride-glucose index predicts peripheral artery disease complexity. Turk J Med Sci. 2020;50:217- 22.
  • 23. Sánchez-Iñigo L, Navarro-González D, Fernández-Montero A et al. Risk of incident ischemic stroke according to the metabolic health and obesity states in the Vascular-Metabolic CUN cohort. Int J Stroke. 2017;12:18791.
  • 24. Irace, C, Carallo C, Scavelli FB et al. Markers of insulin resistance and carotid atherosclerosis. A comparison of the homeostasis model assessment and triglyceride glucose index. Int J Clin Pract. 2013;67:665-72.
  • 25. Sánchez-Iñigo L, Navarro-González D, Fernández-Montero A et al. The TyG index may predict the development of cardiovascular events. Eur J Clin Invest. 2016;46:189-97.
  • 26. 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.
  • 27. Guerrero-Romero F, Simental-Mendía LE, González-Ortiz M et al. The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp. J Clin Endocrinol Metab. 2020;95:3347-51.
  • 28. Du T, Yuan G, Zhang M et al. Clinical usefulness of lipid ratios, visceral adiposity indicators, and the triglycerides and glucose index as risk markers of insulin resistance. Cardiovasc Diabetol. 2014;13:1-10.
  • 29. Lee DY, Lee ES, Kim JH et al. Predictive value of triglyceride glucose index for the risk of incident diabetes: a 4-year retrospective longitudinal study. PloS One. 2016;11:0163465.
  • 30. Kim JW, Park SH, Kim Y et al. The cutoff values of indirect indices for measuring insulin resistance for metabolic syndrome in Korean children and adolescents. Ann Pediatr Endocrinol Metab. 2016;21:143.
  • 31. Mao Q, Zhou D, Li Y et al. The triglyceride-glucose index predicts coronary artery disease severity and cardiovascular outcomes in patients with nonST-segment elevation acute coronary syndrome. Disease Markers. 2019.
  • 32. Tolunay H, Fırtına S. Triglyceride Glucose Index and The Triglyceride/ HDL Ratio as Predictors of Coronary Artery Disease. Düzce Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi. 2021;11:235-41.
  • 33. Kalyoncuoglu M, Ozkan AA, Kaya A et al. A new predictor of instent restenosis in patients undergoing elective percutaneous coronary intervention: triglyceride glucose index. International Journal of the Cardiovascular Academy 2021;7.2:50.
  • 34. Zhu Y, Liu K, Chen M et al. Triglyceride-glucose index is associated with in-stent restenosis in patients with acute coronary syndrome after percutaneous coronary intervention with drug-eluting stents. Cardiovasc Diabetol. 2021;20:1-12.
  • 35. Luo E, Wang D, Yan G et al. High triglyceride–glucose index is associated with poor prognosis in patients with acute ST-elevation myocardial infarction after percutaneous coronary intervention. Cardiovasc Diabetol. 2019;18:1-12.
  • 36. Chiu TH, Tsai HJ, Wu PY et al. A high triglyceride-glucose index is associated with left ventricular dysfunction and atherosclerosis. International Journal of Medical Sciences. 2021;18:1051.
  • 37. Schramm TK, Gislason GH, Rasmussen S et al. Diabetes patients requiring glucose-lowering therapy and nondiabetics with a prior myocardial infarction carry the same cardiovascular risk: a population study of 3.3 million people. Circulation. 2008;117:1945-54.
  • 38. Berry C, Tardif JC, Bourassa MG. Coronary heart disease in patients with diabetes: part II: recent advances in coronary revascularization. J Am Coll Cardiol. 2007;49:643-56.
  • 39. Aronson D, Edelman ER. Coronary artery disease and diabetes mellitus. Cardiol Clin. 2014;32:439-55.
  • 40. Ito H, Ishida H, Antoku S et al. High frequencies of diabetic micro-and macroangiopathies in patients with type 2 diabetes mellitus with decreased estimated glomerular filtration rate and normoalbuminuria. Nephrol Dial Transplant. 2010;25:1161-67.
  • 41. Townsend RR, Anderson AH, Chen J et al. Metabolic syndrome, components, and cardiovascular disease prevalence in chronic kidney disease: findings from the Chronic Renal Insufficiency Cohort (CRIC) Study. Am J Nephrol. 2011;33:477-84
Medicine Science-Cover
  • ISSN: 2147-0634
  • Yayın Aralığı: Yılda 4 Sayı
  • Başlangıç: 2012
  • Yayıncı: Effect Publishing Agency ( EPA )
Sayıdaki Diğer Makaleler

Association of sarcopenia with geriatric syndromes and neutrophil / lymphocyte ratio

Hakan YAVUZER, Veysel SUZAN, Bahar BEKTAN KANAT

Early warning triad for pulmonary microemboli in COVID-19 pneumonia: Pulmonary artery diameter, D-dimer and NT-proBNP

Mehmet KALAYCI, Hakan AYYILDIZ, Mustafa TİMURKAAN, Esra SUAY TİMURKAAN, Gülsüm ALTUNTAŞ

Effects of electroconvulsive therapy on certain attention tests in patients with schizophrenia

Şükrü KARTALCI, Fatma KARTAL, Kübra ORMAN, Kerim UĞUR

Magnetic nanoparticles for diagnosis and treatment

Elif Elçin ETLİ, Ayşegül AKAR

Investigating the effectiveness of artcure transdermal diffusional patch in patients with cervical disc herniation: A randomized placebo-controlled study

Smera AKTÜRK, Raikan BÜYÜKAVCI, Yüksel ERSOY, Hüseyin ÇOLAK

Evaluation of pleural effusions developed after abdominal operations

Adil KOYUNCU, Cihad TATAR, Aziz ARI, Türkan DÜBÜŞ

Incidental findings on temporal bone computed tomography

M. Tayyar KALCIOĞLU, Zeynep Nilüfer TEKİN, Mehmet Bilgin ESER

Antimicrobial effective nanoparticles: Mechanisms and recent achievements

Nurgül K. BAKIRHAN, Nilgün ÜNAL, Merve ŞAVLUK, Çiğdem YÜCEL

The clinical and histopathological effects of perineural dexmedetomidine in combination with bupivacaine in sciatic nerve block in rabbits undergoing sevoflurane anesthesia

Reşit SEVİMLİ, Sedat AKBAŞ, Erol KARAASLAN, Ahmet Selim ÖZKAN, Saadet ALAN

The effect of intravenous paracetamol infusion on postoperative nausea-vomiting and pain following strabismus surgery in children- a randomised controlled trial

Zeliha KORKMAZ DİŞLİ, Hülya GÜNDOĞDU, Nalan ÇELEBİ