Comparison Of The Risk Factors And Prediction Models Of Hemorrhagic Transformation After Intravenous Rt-PA Treatment

Objective: The aim of this study is to examine4risk prediction model,including SEDAN, SITS-MOST, iScore and GRASPS, in predictinghemorrhagic transformation in acute cerebral infarction patients afterreceiving intravenous thrombolytic treatment with recombinantplasminogen activator (rt-PA) and to analyze the relativity between each ofthe risk factors included in the4models and hemorrhagic transformationafter intravenous thrombolytic treatment with rt-PA. Method: Data ofpatients diagnosed as acute cerebral infarction and received intravenousrt-PA treatment in the Second Affiliated Hospital of Chongqing MedicalUniversity during January,2009to March,2014were collected. Singlefactor analysis and logistic regression were conducted to analyze therelativity between all the included risk factors in the4models andhemorrhagic transformation after intravenous rt-PA treatment wereanalyzed. And the performance of the4models in predicting hemorrhagictransformation after intravenous rt-PA treatment were estimated with Fisher’s exact probability analysis and receiver-operation-curve(ROC).Result: Single factor analysis indicated that early sign of infarction (P<0.01)and hyperdense artery sign (P<0.01) in CT scan and blood glucose level(P=0.014) were associated with hemorrhagic transformation, and history ofhypertension (P=0.054) was possibly associated. Area under ROC ofSEDAN and SITS-MOST were0.911and0.83, respectively. Conclusion:SEDAN and SITS-MOST can predict hemorrhagic transformation afterrt-PA treatment effectively.