• Zejun Wu, Hui Wang, Junshuang Zhao, Chaobin Wang, Haodong Liu, Chaojia Wang, Anrong Li, and Juntao Hu.
• Department of Neurosurgery, Taihe Hospital, Jinzhou Medical University Union Training Base, Shiyan, China; Department of Neurosurgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
• World Neurosurg. 2023 Dec 1; 180: e364e375e364-e375.

ObjectiveBurr hole drainage (BHD) is the primary surgical intervention for managing chronic subdural hematoma (CSDH). However, it can lead to postoperative complications such as acute bleeding within the hematoma cavity and hematoma recurrence. The objective of this study is to identify the risk factors for these complications and develop a predictive model for acute hematoma cavity bleeding after BHD in patients with CSDH.MethodsThis study presents a retrospective cohort investigation conducted at a single center. The clinical dataset of 308 CSDH patients who underwent BHD at a hospital from 2016 to 2022 was analyzed to develop and assess a prognostic model.ResultsThe nonbleeding group exhibited a significant correlation between fibrinogen (FIB) and thrombin time (TT), whereas no correlation was observed in the bleeding group. Notably, both FIB and TT were identified as risk factors for postoperative acute bleeding within the hematoma cavity. We developed a prognostic model to predict the occurrence of postoperative acute bleeding within the hematoma cavity after BHD in patients with CSDH. The model incorporated FIB, TT, coronary artery disease, and Glasgow Coma Scale scores. The model exhibited good discrimination (area under the curve: 0.725) and calibration (Hosmer-Leeshawn goodness of fit test: P > 0.1). Furthermore, decision curve analysis demonstrated the potential clinical benefit of implementing this prediction model.ConclusionsThe predictive model developed in this study can forecast the risk of postoperative acute bleeding within the hematoma cavity, thus aiding clinicians in selecting the optimal treatment approach for patients with CSDH.Copyright © 2023. Published by Elsevier Inc.

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