Objective To investigate the value of triglyceride-glucose index in predicting the degree of cerebrovascular stenosis in patients with cerebral infarction.Methods A total of 357 patients with cerebral infarction who were hospitalized in Department of Neurology， Heze Municipal Hospital， from October 2022 to May 2023 were enrolled in this study， and according to the degree of cerebrovascular stenosis， they were divided into normal or mild stenosis group （195 patients with stenosis <50%） and moderate or severe stenosis group （162 patients with stenosis ≥50%）. The multivariate logistic regression analysis was used investigate the risk factors for moderate or severe cerebrovascular stenosis. The receiver operating characteristic （ROC） curve was used to investigate the value of triglyceride-glucose index in predicting modereate or severe cerebrovascular stenosis in patients with cerebral infarction.Results Compared with the normal or mild stenosis group， the moderate or severe stenosis group had significantly higher age， fasting blood glucose， triglyceride， triglyceride-glucose index， total cholesterol， and low-density lipoprotein cholesteral （P<0.05）. The multivariate logistic regression analysis showed that age， fasting blood glucose， and triglyceride-glucose index were independent risk factors for moderate or severe cerebrovascular stenosis in patients with cerebral infarction （P<0.05）. The ROC curve analysis showed that triglyceride-glucose index had an optimal cut-off value of 8.59， a sensitivity of 0.685， and a specificity of 0.549 in predicting moderate or severe cerebrovascular stenosis in patients with cerebral infarction （P<0.01）.Conclusions Triglyceride-glucose index is correlated with the degree of cerebrovascular stenosis in patients with cerebral infarction and has a certain value in predicting moderate or severe cerebrovascular stenosis.