Prediction models for sICH or poor outcome ( Hemorrhage After Thrombolysis [ HAT ] ; Sugar , Early Infarct Signs , Dense Artery , Age , National Institutes of Health ( NIH ) Stroke Score ( SEDAN ) ; Glucose Race Age Sex Pressure Stroke Severity [ GRASPS ] ; Stroke Thrombolytic Predictive Instrument ; Dense Artery , Rankin Score , Age , Glucose , Onset to Treatment Time , NIHSS [ DRAGON ] ; Totaled Health Risks in Vascular Events [ THRIVE ] ; 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 > 0.05 ) .