The role of TyG index in assessment of infarct area in ischemic stroke
10.13491/j.issn.1004-714X.2024.05.018
- VernacularTitle:TyG指数在缺血性脑卒中梗死面积评估中的作用
- Author:
Huimin GUO
1
,
2
;
Sen WANG
2
;
Haizheng WANG
2
;
Fanguo MENG
2
;
Li FENG
2
Author Information
1. School of Clinical Medicine, Jining Medical University, Jining 272067 China
2. Department of Medical Ultrasound, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qian Foshan Hospital, Shandong Medicine and Health Key Laboratory of Abdominal Medical Imaging, Jinan 250014 China.
- Publication Type:OriginalArticles
- Keywords:
Triglyceride-glucose index;
Insulin resistance;
Ischemic stroke;
Massive cerebral infarction
- From:
Chinese Journal of Radiological Health
2024;33(5):595-599
- CountryChina
- Language:Chinese
-
Abstract:
Objective Previous studies have shown that the triglyceride-glucose (TyG) index reflects insulin resistance and predicts the risk of ischemic stroke. Massive cerebral infarction, as a type of ischemic stroke with poor prognosis, is often more prone to complications and sequelae. However, no studies have yet explored the relationship between the TyG index and massive cerebral infarction. This study aims to investigate the role of the TyG index in assessing the infarct area in ischemic stroke. Methods This retrospective study included 212 adult patients with ischemic stroke diagnosed by cranial magnetic resonance imaging and admitted to our hospital from January 2020 to June 2024. The patients were divided into massive cerebral infarction group and non-massive cerebral infarction group according to the study purpose. Univariable and multivariable logistic regression analyses were performed on each group using SPSS 26 software. The receiver operating characteristic curves were analyzed for the prediction models. Results Variables with P＜0.2 in the univariable logistic regression analysis were included in the multivariable logistic regression analysis. The results showed that age (OR 1.043, 95% CI 1.004-1.084, P＜0.05), National Institutes of Health Stroke Scale score (OR 22.986, 95% CI 8.679-60.882, P＜0.001), and TyG index (OR 1.729, 95% CI 1.017-2.941, P＜0.05) were significant predictors. The area under the receiver operating characteristic curve of the predictive model was 0.868 (P＜0.001), indicating high predictive performance. Conclusion The TyG index is an independent risk factor for massive cerebral infarction. The combination of the TyG index with clinical laboratory indicators can effectively predict massive cerebral infarction.
