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Triglyceride-glucose index predicts major adverse cardiovascular events in patients with chronic kidney disease

  • Nephrology - Original Paper
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Abstract

Background and purpose

Triglyceride-glucose (TyG) index has been regarded as a reliable surrogate marker of insulin resistance for predicting cardiovascular outcomes. The current study aimed to explore the associations between TyG index with major adverse cardiovascular events (MACE) in patients with chronic kidney disease (CKD).

Methods/patients

13,517 patients with chronic kidney disease (CKD) from the Kailuan study were included. Patients were divided into quartiles according to the TyG index. The outcomes were MACE, including acute myocardial infarction (AMI) and ischemic stroke (IS). The association between TyG index and the risk of MACE was analyzed by Cox regression models.

Results

During 13.87-year follow-up, a total 1356 MACEs occurred. Multivariable Cox proportional-hazards analyses showed that a higher TyG index quartile was associated with an elevated risk of MACE.

Conclusions

TyG index is significantly related to MACE in patients with CKD. TyG index can be regarded as a novel predictor of MACE for patients with CKD.

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Data availability

The data that support the findings of this study are available on request from the corresponding author.

References

  1. Webster AC, Nagler EV, Morton RL, Masson P (2017) Chronic kidney disease. Lancet 389(10075):1238–1252

    Article  PubMed  Google Scholar 

  2. Stevens PE, O’Donoghue DJ, de Lusignan S, Van Vlymen J, Klebe B, Middleton R et al (2007) Chronic kidney disease management in the United Kingdom: NEOERICA project results. Kidney Int 72(1):92–99

    Article  CAS  PubMed  Google Scholar 

  3. Thompson S, James M, Wiebe N, Hemmelgarn B, Manns B, Klarenbach S et al (2015) Cause of death in patients with reduced kidney function. J Am Soc Nephrol 26(10):2504–2511

    Article  PubMed  PubMed Central  Google Scholar 

  4. Kraus D, von Jeinsen B, Tzikas S, Palapies L, Zeller T, Bickel C et al (2018) Cardiac troponins for the diagnosis of acute myocardial infarction in chronic kidney disease. J Am Heart Assoc 7(19):e008032

    Article  PubMed  PubMed Central  Google Scholar 

  5. Lee M, Saver JL, Chang KH, Liao HW, Chang SC, Ovbiagele B (2010) Low glomerular filtration rate and risk of stroke: meta-analysis. BMJ 341:c4249

    Article  PubMed  PubMed Central  Google Scholar 

  6. Jha V, Garcia-Garcia G, Iseki K, Li Z, Naicker S, Plattner B et al (2013) Chronic kidney disease: global dimension and perspectives. Lancet 382(9888):260–272

    Article  PubMed  Google Scholar 

  7. Thomas MC, Brownlee M, Susztak K, Sharma K, Jandeleit-Dahm KA, Zoungas S et al (2015) Diabetic kidney disease. Nat Rev Dis Primers 1:15018

    Article  PubMed  PubMed Central  Google Scholar 

  8. Alicic RZ, Rooney MT, Tuttle KR (2017) Diabetic kidney disease: challenges, progress, and possibilities. Clin J Am Soc Nephrol 12(12):2032–2045

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Spoto B, Pisano A, Zoccali C (2016) Insulin resistance in chronic kidney disease: a systematic review. Am J Physiol Renal Physiol 311(6):F1087–F1108

    Article  CAS  PubMed  Google Scholar 

  10. Ginsberg HN (2000) Insulin resistance and cardiovascular disease. J Clin Invest 106(4):453–458

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Tao LC, Xu JN, Wang TT, Hua F, Li JJ (2022) Triglyceride-glucose index as a marker in cardiovascular diseases: landscape and limitations. Cardiovasc Diabetol 21(1):68

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Wang L, Cong HL, Zhang JX, Hu YC, Wei A, Zhang YY et al (2020) Triglyceride-glucose index predicts adverse cardiovascular events in patients with diabetes and acute coronary syndrome. Cardiovasc Diabetol 19(1):80

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Vaidya SR, Aeddula NR. Chronic Renal Failure. Treasure Island (FL): StatPearls Publishing (2023)

  14. Simental-Mendía LE, Rodríguez-Morán M, Guerrero-Romero F (2008) The product of fasting glucose and triglycerides as surrogate for identifying insulin resistance in apparently healthy subjects. Metab Syndr Relat Disord 6(4):299–304

    Article  PubMed  Google Scholar 

  15. Quiroga B, Muñoz Ramos P, Sánchez Horrillo A, Ortiz A, Valdivieso JM, Carrero JJ (2022) Triglycerides-glucose index and the risk of cardiovascular events in persons with non-diabetic chronic kidney disease. Clin Kidney J 15(9):1705–1712

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Farhadian M, Dehdar Karsidani S, Mozayanimonfared A, Mahjub H (2021) Risk factors associated with major adverse cardiac and cerebrovascular events following percutaneous coronary intervention: a 10-year follow-up comparing random survival forest and Cox proportional-hazards model. BMC Cardiovasc Disord 21(1):38

    Article  PubMed  PubMed Central  Google Scholar 

  17. deGoma EM, Knowles JW, Angeli F, Budoff MJ, Rader DJ (2012) The evolution and refinement of traditional risk factors for cardiovascular disease. Cardiol Rev 20(3):118–129

    Article  PubMed  PubMed Central  Google Scholar 

  18. Jin J (2018) Risk assessment for cardiovascular disease with nontraditional risk factors. JAMA 320(3):316

    Article  PubMed  Google Scholar 

  19. Möller-Leimkühler AM (2007) Gender differences in cardiovascular disease and comorbid depression. Dialogues Clin Neurosci 9(1):71–83

    Article  PubMed  PubMed Central  Google Scholar 

  20. GBD 2017 Causes of Death Collaborators (2018) Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392(10159):1736–1788

  21. Cockwell P, Fisher LA (2020) The global burden of chronic kidney disease. Lancet 395(10225):662–664

    Article  PubMed  Google Scholar 

  22. Kampmann JD, Heaf JG, Mogensen CB, Petersen SR, Wolff DL, Mickley H et al (2022) Rate and risk factors of acute myocardial infarction after debut of chronic kidney disease-results from the KidDiCo. J Cardiovasc Dev Dis 9(11):387

    PubMed  PubMed Central  Google Scholar 

  23. Major RW, Cheng MRI, Grant RA, Shantikumar S, Xu G, Oozeerally I et al (2018) Cardiovascular disease risk factors in chronic kidney disease: A systematic review and meta-analysis. PLoS ONE 13(3):e0192895

    Article  PubMed  PubMed Central  Google Scholar 

  24. Ninomiya T (2013) Risk of stroke in kidney disease. Contrib Nephrol 179:58–66

    Article  PubMed  Google Scholar 

  25. Sarnak MJ, Amann K, Bangalore S, Cavalcante JL, Charytan DM, Craig JC et al (2019) Chronic kidney disease and coronary artery disease: JACC state-of-the-art review. J Am Coll Cardiol 74(14):1823–1838

    Article  CAS  PubMed  Google Scholar 

  26. Toyoda K, Ninomiya T (2014) Stroke and cerebrovascular diseases in patients with chronic kidney disease. Lancet Neurol 13(8):823–833

    Article  PubMed  Google Scholar 

  27. Jankowski J, Floege J, Fliser D, Böhm M, Marx N (2021) Cardiovascular disease in chronic kidney disease: pathophysiological insights and therapeutic options. Circulation 143(11):1157–1172

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Di Angelantonio E, Chowdhury R, Sarwar N, Aspelund T, Danesh J, Gudnason V (2010) Chronic kidney disease and risk of major cardiovascular disease and non-vascular mortality: prospective population based cohort study. BMJ 341:c4986

    Article  PubMed  PubMed Central  Google Scholar 

  29. Tonelli M, Muntner P, Lloyd A, Manns BJ, Klarenbach S, Pannu N et al (2012) Risk of coronary events in people with chronic kidney disease compared with those with diabetes: a population-level cohort study. Lancet 380(9844):807–814

    Article  PubMed  Google Scholar 

  30. Iseki K, Fukiyama K (2000) Long-term prognosis and incidence of acute myocardial infarction in patients on chronic hemodialysis. The Okinawa Dialysis Study Group. Am J Kidney Dis 36(4):820–825

    Article  CAS  PubMed  Google Scholar 

  31. Fox CS, Muntner P, Chen AY, Alexander KP, Roe MT, Cannon CP et al (2010) Use of evidence-based therapies in short-term outcomes of ST-segment elevation myocardial infarction and non-ST-segment elevation myocardial infarction in patients with chronic kidney disease: a report from the National Cardiovascular Data Acute Coronary Treatment and Intervention Outcomes Network registry. Circulation 121(3):357–365

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Meisinger C, Döring A, Löwel H (2006) Chronic kidney disease and risk of incident myocardial infarction and all-cause and cardiovascular disease mortality in middle-aged men and women from the general population. Eur Heart J 27(10):1245–1250

    Article  PubMed  Google Scholar 

  33. Szummer K, Lundman P, Jacobson SH, Schön S, Lindbäck J, Stenestrand U et al (2009) Influence of renal function on the effects of early revascularization in non-ST-elevation myocardial infarction: data from the Swedish Web-System for Enhancement and Development of Evidence-Based Care in Heart Disease Evaluated According to Recommended Therapies (SWEDEHEART). Circulation 120(10):851–858

    Article  CAS  PubMed  Google Scholar 

  34. Miwa K, Koga M, Nakai M, Yoshimura S, Sasahara Y, Koge J et al (2022) Etiology and outcome of ischemic stroke in patients with renal impairment including chronic kidney disease: Japan stroke data bank. Neurology 98(17):e1738–e1747

    Article  PubMed  PubMed Central  Google Scholar 

  35. Kelly DM, Li L, Rothwell PM (2020) Etiological subtypes of transient ischemic attack and ischemic stroke in chronic kidney disease: population-based study. Stroke 51(9):2786–2794

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Chung MC, Yu TM, Wu MJ, Hung PH, Chang CH, Muo CH et al (2018) Increased risk of ischemic stroke in patients with chronic kidney disease after recurrent dysnatremias: a nationwide population-based cohort study. Neuropsychiatry (London) 8(2):587–594

    Google Scholar 

  37. Cherng YG, Lin CS, Shih CC, Hsu YH, Yeh CC, Hu CJ et al (2018) Stroke risk and outcomes in patients with chronic kidney disease or end-stage renal disease: Two nationwide studies. PLoS ONE 13(1):e0191155

    Article  PubMed  PubMed Central  Google Scholar 

  38. Shen Y, Cai R, Sun J, Dong X, Huang R, Tian S et al (2017) Diabetes mellitus as a risk factor for incident chronic kidney disease and end-stage renal disease in women compared with men: a systematic review and meta-analysis. Endocrine 55(1):66–76

    Article  CAS  PubMed  Google Scholar 

  39. Winocour PH (2018) Diabetes and chronic kidney disease: an increasingly common multi-morbid disease in need of a paradigm shift in care. Diabet Med 35(3):300–305

    Article  CAS  PubMed  Google Scholar 

  40. Wondmkun YT (2020) Obesity, insulin resistance, and type 2 diabetes: associations and therapeutic implications. Diabetes Metab Syndr Obes 13:3611–3616

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Tam CS, Xie W, Johnson WD, Cefalu WT, Redman LM, Ravussin E (2012) Defining insulin resistance from hyperinsulinemic-euglycemic clamps. Diabetes Care 35(7):1605–1610

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Sánchez-García A, Rodríguez-Gutiérrez R, Mancillas-Adame L, González-Nava V, Díaz González-Colmenero A, Solis RC et al (2020) Diagnostic accuracy of the triglyceride and glucose index for insulin resistance: a systematic review. Int J Endocrinol 2020:4678526

    Article  PubMed  PubMed Central  Google Scholar 

  43. Barzegar N, Tohidi M, Hasheminia M, Azizi F, Hadaegh F (2020) The impact of triglyceride-glucose index on incident cardiovascular events during 16 years of follow-up: Tehran Lipid and Glucose Study. Cardiovasc Diabetol 19(1):155

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Hong S, Han K, Park CY (2020) The triglyceride glucose index is a simple and low-cost marker associated with atherosclerotic cardiovascular disease: a population-based study. BMC Med 18(1):361

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Tian X, Chen S, Zhang Y, Zhang X, Xu Q, Wang P et al (2022) Time course of the triglyceride glucose index accumulation with the risk of cardiovascular disease and all-cause mortality. Cardiovasc Diabetol 21(1):183

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Wang A, Wang G, Liu Q, Zuo Y, Chen S, Tao B et al (2021) Triglyceride-glucose index and the risk of stroke and its subtypes in the general population: an 11-year follow-up. Cardiovasc Diabetol 20(1):46

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Wang X, Feng B, Huang Z, Cai Z, Yu X, Chen Z et al (2022) Relationship of cumulative exposure to the triglyceride-glucose index with ischemic stroke: a 9-year prospective study in the Kailuan cohort. Cardiovasc Diabetol 21(1):66

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Funding

This research was supported by the key scientific research project of health commission of Hebei province, PR China. Project No.: 20231775.

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Correspondence to Quanle Han.

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The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Ethical approval

The Kailuan study is a prospective study to investigate the risk factors for cardiovascular and cerebrovascular disease in the Tangshan city, China. The protocol of Kailuan study has been approved by the ethics committee of Kailuan hospital, and registrated in the Chinese clinical trial registry (ChiCTR-TNRC-11001489).

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Li, K., Hou, Q., Li, X. et al. Triglyceride-glucose index predicts major adverse cardiovascular events in patients with chronic kidney disease. Int Urol Nephrol (2024). https://doi.org/10.1007/s11255-024-04005-9

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