Prediction models for sICH or poor outcome ( Hemorrhage After Thrombolysis -LSB- HAT -RSB- ; Sugar , Early Infarct Signs , Dense Artery , Age , National Institutes of Health ( NIH ) Stroke Score ( SEDAN ) ; Glucose Race Age Sex Pressure Stroke Severity -LSB- GRASPS -RSB- ; Stroke Thrombolytic Predictive Instrument ; Dense Artery , Rankin Score , Age , Glucose , Onset to Treatment Time , NIHSS -LSB- DRAGON -RSB- ; Totaled Health Risks in Vascular Events -LSB- THRIVE -RSB- ; our new model ; and a model with National Institutes of Health Stroke Scale and age ) had similar area under receiver operator characteristic curves ( AUROCC ) to predict sICH ( P for difference > @ ) .