Comparison of Accuracy among Post-thrombolytic Symptomatic Intracerebral Hemorrhage Predictive Scores in Ischemic Stroke Patients in Khon Kaen Hospital.
Keywords:
predictive score, post-thrombolytic symptomatic intracerebral hemorrhageAbstract
Abstract
Introduction: Post-thrombolytic symptomatic intracerebral hemorrhage (sICH) is one of complications worsening outcome of acute ischemic stroke patients. At this point, we performed a comparison of accuracy among 9 predictive scores using Khon Kaen Hospital patient dataset to assess post-thrombolytic sICH risk.
Methods: Retrospective analytic study of accuracy of predictive scores was conducted from January 2016 to April 2019. The acute ischemic stroke patients who received thrombolytic therapy were included. This study employed patients’ information from medical records. Each score system was then calculated. Subsequently, the comparison among these scores were performed using area under receiver operating characteristic curves (ROC). Other baseline characteristics were presented and compared by appropriate statistical methods.
Results: Two hundred and fifty-one patients were recruited. There were 36 (14.34%) patients with post-thrombolytic intracerebral hemorrhage. Of these, 22 (8.76%) patients were symptomatic. Among 9 predictive scores for sICH, DRAGON had the highest predictive power (area under the ROC = 0.74), sensitivity (80.56%) and negative predictive value (91.40%).
Conclusion: Currently, there is no best tool to predict post-thrombolytic ICH. From our result, DRAGON score was best predictor for sICH among others and could be applied to obtain additional information for patient management and bed occupancy consideration of stroke unit.
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