• Hazem M Alkosha and Nabil Mansour Ali.
• Department of Neurosurgery, Mansoura University Hospital, Mansoura, Egypt. Electronic address: hazem_kosha@yahoo.com.
• World Neurosurg. 2017 Jun 1; 102: 123-138.

ObjectiveTo detect predictors of the clinical course and outcome of cerebellar hematoma in conscious patients that may help in decision making.MethodsThis study entails retrospective and prospective review and collection of the demographic, clinical, and radiologic data of 92 patients with cerebellar hematoma presented conscious and initially treated conservatively. Primary outcome was deterioration lower than a Glasgow Coma Scale score of 14 and secondary outcome was Glasgow Outcome Scale score at discharge and 3 months later. Relevant data to primary outcome were used to create a prediction model and derive a risk score. The model was validated using a bootstrap technique and performance measures of the score were presented. Surgical interventions and secondary outcomes were correlated to the score to explore its use in future decision making.ResultsDemographic and clinical data showed no relevance to outcome. The relevant initial computed tomography criteria were used to build up the prediction model. A score was derived after the model proved to be valid using internal validation with bootstrapping technique. The score (0-6) had a cutoff value of ≥2, with sensitivity of 93.3% and specificity of 88.0%. It was found to have a significant negative association with the onset of neurologic deterioration, end point Glasgow Coma Scale scores and the Glasgow Outcome Scale scores at discharge. The score was positively correlated to the aggressiveness of surgical interventions and the length of hospital stay.ConclusionsEarly definitive management is critical in conscious patients with cerebellar hematomas and can improve outcome. Our proposed score is a simple tool with high discrimination power that may help in timely decision making in those patients.Copyright © 2017 Elsevier Inc. All rights reserved.

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