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Triglyceride-glucose Index Predicts Major Adverse Cardiovascular Events in Patients with Chronic Kidney Disease

Overview
Publisher Springer
Specialty Nephrology
Date 2024 Mar 27
PMID 38536621
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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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References
1.
Webster A, Nagler E, Morton R, Masson P . Chronic Kidney Disease. Lancet. 2016; 389(10075):1238-1252. DOI: 10.1016/S0140-6736(16)32064-5. View

2.
Stevens P, ODonoghue D, de Lusignan S, van Vlymen J, Klebe B, Middleton R . Chronic kidney disease management in the United Kingdom: NEOERICA project results. Kidney Int. 2007; 72(1):92-9. DOI: 10.1038/sj.ki.5002273. View

3.
Thompson S, James M, Wiebe N, Hemmelgarn B, Manns B, Klarenbach S . Cause of Death in Patients with Reduced Kidney Function. J Am Soc Nephrol. 2015; 26(10):2504-11. PMC: 4587695. DOI: 10.1681/ASN.2014070714. View

4.
Kraus D, von Jeinsen B, Tzikas S, Palapies L, Zeller T, Bickel C . Cardiac Troponins for the Diagnosis of Acute Myocardial Infarction in Chronic Kidney Disease. J Am Heart Assoc. 2018; 7(19):e008032. PMC: 6404905. DOI: 10.1161/JAHA.117.008032. View

5.
Lee M, Saver J, Chang K, Liao H, Chang S, Ovbiagele B . Low glomerular filtration rate and risk of stroke: meta-analysis. BMJ. 2010; 341:c4249. PMC: 2948650. DOI: 10.1136/bmj.c4249. View