Department of Neurosurgery, Taihe Hospital, Jinzhou Medical University Union Training Base, Shiyan, China; Department of Neurosurgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Department of Neurosurgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
World Neurosurg. 2023 Dec;180:e364-e375. doi: 10.1016/j.wneu.2023.09.072. Epub 2023 Sep 27.
Burr 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.
This 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.
The 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.
The 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.
颅骨钻孔引流术(BHD)是治疗慢性硬脑膜下血肿(CSDH)的主要手术干预手段。然而,它可能导致术后并发症,如血肿腔内急性出血和血肿复发。本研究的目的是确定这些并发症的危险因素,并为 CSDH 患者 BHD 后急性血肿腔出血建立预测模型。
本研究是在一家单中心进行的回顾性队列研究。对 2016 年至 2022 年在一家医院接受 BHD 的 308 例 CSDH 患者的临床数据集进行分析,以开发和评估预后模型。
非出血组的纤维蛋白原(FIB)和凝血酶时间(TT)之间存在显著相关性,而出血组则无相关性。值得注意的是,FIB 和 TT 均被确定为术后血肿腔内急性出血的危险因素。我们开发了一个预测模型,以预测 CSDH 患者 BHD 后血肿腔内发生术后急性出血的情况。该模型纳入了 FIB、TT、冠心病和格拉斯哥昏迷评分。模型具有良好的区分度(曲线下面积:0.725)和校准度(Hosmer-Leeshawn 拟合优度检验:P>0.1)。此外,决策曲线分析表明实施该预测模型具有潜在的临床获益。
本研究建立的预测模型可预测术后血肿腔内急性出血的风险,从而帮助临床医生为 CSDH 患者选择最佳治疗方案。