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Association of Triglyceride Glucose-Derived Indices with Recurrent Events Following Atherosclerotic Cardiovascular Disease.

Authors :
Sha Li
Hui-Hui Liu
Yan Zhang
Meng Zhang
Hui-Wen Zhang
Cheng-Gang Zhu
Yuan-Lin Guo
Na-Qiong Wu
Rui-Xia Xu
Qian Dong
Ke-Fei Dou
Jie Qian
Jian-Jun Li
Source :
Journal of Obesity & Metabolic Syndrome. Jun2024, Vol. 33 Issue 2, p133-142. 10p.
Publication Year :
2024

Abstract

Background: Triglyceride glucose (TyG) and TyG-body mass index (TyG-BMI) are reliable surrogate indices of insulin resistance and used for risk stratification and outcome prediction in patients with atherosclerotic cardiovascular disease (ASCVD). Here, we inserted estimated average glucose (eAG) into the TyG (TyAG) and TyG-BMI (TyAG-BMI) as derived parameters and explored their clinical significance in cardiovascular risk prediction. Methods: This was a population-based cohort study of 9,944 Chinese patients with ASCVD. The baseline admission fasting glucose and A1C-derived eAG values were recorded. Cardiovascular events (CVEs) that occurred during an average of 38.5 months of follow-up were recorded. We stratified the patients into four groups by quartiles of the parameters. Baseline data and outcomes were analyzed. Results: Distribution of the TyAG and TyAG-BMI indices shifted slightly toward higher values (the right side) compared with TyG and TyG-BMI, respectively. The baseline levels of cardiovascular risk factors and coronary severity increased with quartile of TyG, TyAG, TyG-BMI, and TyAG-BMI (all P<0.001). The multivariate-adjusted hazard ratios for CVEs when the highest and lowest quartiles were compared from low to high were 1.02 (95% confidence interval [CI], 0.77 to 1.36; TyG), 1.29 (95% CI, 0.97 to 1.73; TyAG), 1.59 (95% CI, 1.01 to 2.58; TyG-BMI), and 1.91 (95% CI, 1.16 to 3.15; TyAG-BMI). The latter two showed statistical significance. Conclusion: This study suggests that TyAG and TyAG-BMI exhibit more information than TyG and TyG-BMI in disease progression among patients with ASCVD. The TyAG-BMI index provided better predictive performance for CVEs than other parameters. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
25086235
Volume :
33
Issue :
2
Database :
Academic Search Index
Journal :
Journal of Obesity & Metabolic Syndrome
Publication Type :
Academic Journal
Accession number :
178274099
Full Text :
https://doi.org/10.7570/jomes23055