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The association between triglyceride-glucose index and major adverse cardiovascular events in patients with acute coronary syndrome – dose–response meta-analysis
Triglyceride-Glucose (TyG) index is an accurate biomarker of insulin resistance, which is potentially associated with adverse cardiovascular events. We aimed to assess the dose–response relationship between Triglyceride-Glucose (TyG) Index and Major Adverse Cardiovascular Events (MACE) in patients w...
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Published in: | Nutrition, metabolism, and cardiovascular diseases metabolism, and cardiovascular diseases, 2021-10, Vol.31 (11), p.3024-3030 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Triglyceride-Glucose (TyG) index is an accurate biomarker of insulin resistance, which is potentially associated with adverse cardiovascular events. We aimed to assess the dose–response relationship between Triglyceride-Glucose (TyG) Index and Major Adverse Cardiovascular Events (MACE) in patients with Acute Coronary Syndrome (ACS).
A systematic literature search was performed using PubMed, Scopus, and Embase for records published from the inception up until 7 February 2021. Studies that fulfilled all of these criteria were included: 1) prospective or retrospective observational studies reporting patients with ACS and 2) assessing the impact of TyG index on MACE with at least three quantitative classifications. The outcome of interest is MACE across the TyG index intervals. MACE was a composite of all-cause mortality, myocardial infarction, unstable angina pectoris, target vessel revascularization, cerebrovascular accidents, and heart failure. The effect estimates were reported as relative risks (RRs). There are 13,684 subjects from 4 studies included in this meta-analysis. This meta-analysis showed that the highest category of TyG index was associated with twofold MACE (RR 2.09 [1.59, 2.76], p |
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ISSN: | 0939-4753 1590-3729 |
DOI: | 10.1016/j.numecd.2021.08.026 |