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Updated: Sep 25, 2026

A Thrombotic Stroke Model Based On Transient Cerebral Hypoxia-ischemia
Published on: August 18, 2015
Predictive Value of the Hemorrhage After Thrombolysis Score for Tissue Plasminogen Activator-Related Intracranial
Serhat Bulut1, Emre Kudu2, Zeynep Kübra Bulut3
1Department of Emergency Medicine, Marmara University School of Medicine, Istanbul, Türkiye; Department of Emergency Medicine, Marmara University Pendik Training and Research Hospital, Istanbul, Türkiye.
Background:
Intravenous tissue plasminogen activator (tPA) improves outcomes in acute ischemic stroke but carries a risk of intracranial hemorrhage, particularly parenchymal hematoma (PH), which is associated with poor prognosis. Early risk stratification remains clinically important.
Objective:
To evaluate the diagnostic performance of the Hemorrhage After Thrombolysis (HAT) score in predicting PH following intravenous tPA in the emergency department.
Methods:
This secondary analysis included a single-center retrospective cohort conducted between October 2023 and February 2025. Adult patients with acute ischemic stroke treated with intravenous tPA within 4.5 h were included. Baseline clinical, laboratory, and imaging data were collected. The primary outcome was PH on 24-h cranial computed tomography. Diagnostic performance was assessed using receiver operating characteristic analysis, with the optimal cutoff determined by the Youden index.
Results:
A total of 120 patients were included (mean age 70.2 ± 13 years; 57.5% male). PH developed in 11 patients (9.17%). HAT scores were significantly higher in the PH group (p < 0.001). The HAT score showed good discriminative performance for PH (area under the curve [AUC]: 0.871), with an optimal cutoff of 1 (sensitivity 82.6%, specificity 90.9%). For overall hemorrhagic transformation, performance was also good (AUC: 0.786). PH was associated with increased mortality and morbidity.
Conclusion:
The HAT score demonstrates good diagnostic performance for predicting PH after thrombolysis. It may serve as a practical tool for risk stratification and post-treatment monitoring in the emergency department.
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