Predictive value of triglyceride-glucose index on the outcome in patients with acute ischemic stroke undergoing intravenous alteplase thrombolysis / 中国医科大学学报

ABSTRACT

Objective To explore the predictive role of the triglyceride-glucose(TyG)index in patients with acute ischemic stroke(AIS)treated with alteplase thrombolysis and create a comprehensive predictive model integrating multiple factors for assessing patient out-comes.Methods The clinical data of 302 patients with AIS undergoing alteplase intravenous thrombolysis at the Neurology Department of Fushun Central Hospital from January 2019 to October 2022 were retrospectively analyzed.The patients were categorized into a good prognosis group(n= 193)and a poor prognosis group(n= 109)based on their mRS scores at 90 days post-thrombolysis.Univariate and multivariate logistic regression analyses were employed to identify risk factors influencing adverse outcomes and to establish a predictive model.The predictive performance of the model was assessed using receiver operating characteristic(ROC)curve analysis.Results The results of the multivariate logistic regression analysis revealed that pre-thrombolysis high NIHSS score and TyG index≥9.37 were inde-pendent risk factors for unfavorable prognosis in AIS patients.A predictive model for AIS patient prognosis was successfully established:Logit(Y)=-17.167 + 1.681×TyG index+0.147×pre-thrombolysis NIHSS score.The optimal cutoff value for the TyG index was 9.37.The ROC areas under the curve for predicting unfavorable prognosis in AIS patients at 90 days post-thrombolysis were 0.713 for TyG index,0.705 for pre-thrombolysis NIHSS score,and 0.787 for the combined variable(Y),with the combined variable(Y)exhibiting the largest ROC curve area.Conclusion TyG index≥9.37 and pre-thrombolysis high NIHSS score are independent risk factors for poor prognosis.The combined variable the combined variable(Y)has higher predictive efficiency than the separate variables.