International Journal of Clinical Practice (Jan 2022)

Association between the Triglyceride-Glucose Index and the Risk of Large Artery Atherosclerotic Stroke

  • Mingfei Jiang,
  • Huan Wu,
  • Huiping Zhang,
  • Fan Su,
  • Lei Cao,
  • Xia Ren,
  • Grace Tatenda,
  • Jian Hu,
  • Mingjia Cheng,
  • Yufeng Wen

DOI
https://doi.org/10.1155/2022/5191581
Journal volume & issue
Vol. 2022

Abstract

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The aim of this study is to evaluate the value of the triglyceride-glucose (TyG) index and the risk of large artery atherosclerotic (LAA) stroke. Information on general demographic and clinical characteristics, magnetic resonance angiography (MRA) examination, and blood biochemical index determination were obtained. Based on age stratification, three models to evaluate the odds ratio (OR) and the 95% confidence interval (95% CI) were employed to determine the correlation between the TyG index and the risk of LAA stroke. The most effective TyG index threshold in predicting a high risk of LAA stroke was identified using receiver operating characteristic (ROC) curve analysis. Logistic regression verified the association between the risk of LAA stroke and the TyG index. Both with and without age stratification, logistic regression analysis showed that the TyG index was a significant predictor of the occurrence of LAA stroke (P<0.05). The maximum Youden index for determining a high risk of LAA stroke was found at a TyG index of 4.60. The area under the ROC curve was 0.69 (95% CI: 0.646–0.742, P<0.05), sensitivity was 78.0%, and specificity was 63.4%. An elevated TyG index was remarkably associated with a high risk of LAA stroke.