Value of triglyceride-glucose index for the estimation of ischemic stroke risk: Insights from a general population

• Published in: Nutrition, metabolism, and cardiovascular diseases Vol. 30; no. 2; pp. 245 - 253
• Main Authors: Shi, Wenrui, Xing, Liying, Jing, Li, Tian, Yuanmeng, Yan, Han, Sun, Qun, Dai, Dong, Shi, Lei, Liu, Shuang
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 10.02.2020
• Subjects: blood glucose; China; cross-sectional studies; Dyslipidemia; fasting; females; Hyperglycemia; Insulin resistance; Ischemic stroke; risk assessment; risk factors; rural areas; stroke; triacylglycerols; Triglyceride-glucose index; China; Triglyceride-glucose index; Insulin resistance; Hyperglycemia; Ischemic stroke; Dyslipidemia
• ISSN: 0939-4753; 1590-3729; 1590-3729
• DOI: 10.1016/j.numecd.2019.09.015

Recent studies have recognized triglyceride-glucose index (TyG) as a practical surrogate of insulin resistance. Previous studies have demonstrated that insulin resistance contributes to ischemic stroke via multiple mechanisms. Our study aimed to investigate the association between TyG and prevalent ischemic stroke, exploring the value of TyG to optimize the risk stratification of ischemic stroke. This cross-sectional study included 10,900 subjects (mean age: 59.95 years, 59.8% females) from rural areas of northeast China between September 2017 to May 2018. TyG was calculated as ln[fasting triglyceride (mg/dl) × fasting plasma glucose (mg/dl)/2]. The prevalence of ischemic stroke was 5.49%. After adjusting for all covariates, each SD increment of TyG caused 22.8% additional risk for ischemic stroke. When dividing TyG into quartiles, the top quartile had a 1.776 times risk for ischemic stroke against the bottom category. Furthermore, smoothing curve fitting demonstrated this association was linear in the whole range of TyG. Finally, AUC revealed an improvement when introducing TyG into clinical risk factors (0.746 vs 0.751, p = 0.029). Consistently, category-free net reclassification index (0.195, 95% CI: 0.112–0.277, P < 0.001) and integrated discrimination index (0.003, 95% CI: 0.001–0.004, P < 0.001) confirmed the improvement by TyG to stratify ischemic stroke risk. The prevent ischemic stroke correlated proportionally with the increment of TyG, implicating the linearity of TyG as an indicator of ischemic stroke. Our findings suggest the potential value of TyG to optimize the risk stratification of ischemic stroke in a general population. •TyG index closely correlated with the prevalent ischemic stroke.•TyG may serve as a linear indicator for the presence of ischemic stroke.•TyG may have its potential to optimize the risk stratification of ischemic stroke.