Abstract

This study aimed to investigate the predictive role of admission serum glucose, baseline NIHSS score, and fibrinogen on hemorrhagic transformation after intravenous thrombolysis with alteplase in acute ischemic stroke. A total of 254 patients admitted with acute ischemic stroke who received intravenous thrombolysis with alteplase from January 2016 to December 2017 were selected to collect clinical data. Patients were divided into a hemorrhagic transformation group (n=70) and a no-hemorrhagic transformation group (n=184) based on repeat CT/magnetic resonance imaging (MRI) findings during the acute period. The demographic data, past medical history and laboratory examination indexes of the two groups were compared. Multivariate Logistic regression analysis was used to explore the influencing factors of hemorrhage transformation after intravenous thrombolysis in patients with acute ischemic stroke. ROC curve was used to plot the ability of blood glucose at admission, baseline NIHSS score and fibrinogen alone to predict bleeding transformation after intravenous thrombolysis of alteplase, and then the combined model of the three was constructed and the predictive ability of this model to bleeding transformation was evaluated. Among 254 patients, 70% (27.55%) had hemorrhage transformation. Except for DNT, red blood cell count, platelet count, fibrinogen, smoking, atrial fibrillation, baseline NIHSS score and admission serum glucose, there were statistically significant differences between the hemorrhagic transformation group and the non-hemorrhagic transformation group (p<0.05), and there were no statistically significant differences in other indicators between the two groups (p>0.05). The combined model was better than the three models alone in predicting the risk of bleeding conversion (p<0.05). Compared with the group without hemorrhagic transformation, the 90d prognosis was worse in the hemorrhage transformation group (p<0.05). Admission blood glucose, NIHSS score, and fibrinogen are independent risk factors for hemorrhage transformation after intravenous thrombolysis of alteplase in patients with acute ischemic stroke, and the combined model established by them has high predictive efficacy for hemorrhage transformation risk after intravenous thrombolysis of alteplase.

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