Wenrui Shi1, Liying Xing2, Li Jing3, Yuanmeng Tian3, Han Yan3, Qun Sun4, Dong Dai5, Lei Shi6, Shuang Liu7. 1. Department of Cardiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China. 2. Department of Cardiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China; Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, People's Republic of China. 3. Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, People's Republic of China. 4. Disease Control and Prevention of Chao Yang City, Chaoyang, Liaoning, People's Republic of China. 5. Disease Control and Prevention of Dan Dong City, Dandong, Liaoning, People's Republic of China. 6. Disease Control and Prevention of Liao Yang City, Liaoyang, Liaoning, People's Republic of China. 7. Department of Cardiovascular Ultrasound, The First Affiliated Hospital of China Medical University, Shenyang, 110005, Liaoning, People's Republic of China. Electronic address: Shuangliu_cmu1h@163.com.
Abstract
BACKGROUND AND AIMS: 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. METHODS AND RESULTS: 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. CONCLUSION: 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.
BACKGROUND AND AIMS: 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. METHODS AND RESULTS: 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. CONCLUSION: 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.