• Mingfei Jiang, Huan Wu, Huiping Zhang, Fan Su, Lei Cao, Xia Ren, Grace Tatenda, Jian Hu, Mingjia Cheng, and Yufeng Wen.
• Department of Diagnostics, Clinical School of Medicine, Wannan Medical College, Anhui, Wuhu 214002, China.
• Int. J. Clin. Pract. 2022 Jan 1; 2022: 5191581.

AbstractThe 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.Copyright © 2022 Mingfei Jiang et al.

12 keywords...

hide…