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Triglyceride-glucose index predicts adverse cardiovascular events in patients with diabetes and acute coronary syndrome

Authors :
Jingxia Zhang
Libin Ren
Yuecheng Hu
Rui Zhang
Hua Yang
Wei Qi
Le Wang
Wenyu Li
Yingyi Zhang
Hongliang Cong
Ao Wei
Jinghan Xu
Source :
Cardiovascular Diabetology, Cardiovascular Diabetology, Vol 19, Iss 1, Pp 1-11 (2020)
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

Background The triglyceride-glucose index (TyG index) has been regarded as a reliable alternative marker of insulin resistance and an independent predictor of cardiovascular outcomes. Whether the TyG index predicts adverse cardiovascular events in patients with diabetes and acute coronary syndrome (ACS) remains uncertain. The aim of this study was to investigate the prognostic value of the TyG index in patients with diabetes and ACS. Methods A total of 2531 consecutive patients with diabetes who underwent coronary angiography for ACS were enrolled in this study. Patients were divided into tertiles according to their TyG index. The primary outcomes included the occurrence of major adverse cardiovascular events (MACEs), defined as all-cause death, non-fatal myocardial infarction and non-fatal stroke. The TyG index was calculated as the ln (fasting triglyceride level [mg/dL] × fasting glucose level [mg/dL]/2). Results The incidence of MACE increased with TyG index tertiles at a 3-year follow-up. The Kaplan–Meier curves showed significant differences in event-free survival rates among TyG index tertiles (P = 0.005). Multivariate Cox hazards regression analysis revealed that the TyG index was an independent predictor of MACE (95% CI 1.201–1.746; P Conclusions The TyG index predicts future MACE in patients with diabetes and ACS independently of known cardiovascular risk factors, suggesting that the TyG index may be a useful marker for risk stratification and prognosis in patients with diabetes and ACS.

Details

ISSN :
14752840
Volume :
19
Database :
OpenAIRE
Journal :
Cardiovascular Diabetology
Accession number :
edsair.doi.dedup.....d8bb31880a615690444ea6a5dd5cee7c