McMahon J Tanner, Malcolm James G, Douglas J Miller, Greven Alex, Sadan Ofer, Samuels Owen B, Cawley C Michael, Barrow Daniel L, Grossberg Jonathan A, Howard Brian M
Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia, USA.
World Neurosurg. 2025 Mar;195:123659. doi: 10.1016/j.wneu.2025.123659. Epub 2025 Jan 24.
Aneurysmal subarachnoid hemorrhage (SAH) is frequently complicated by permanent shunt-dependent hydrocephalus, but it is difficult to predict which patients are at highest risk. This study seeks to identify novel variables associated with shunt dependency after aneurysmal SAH and to create a predictive algorithm that improves upon existing models.
Retrospective case-control design was used. Patients who presented with aneurysmal SAH and external ventricular drain (EVD) placement were included. Those who successfully weaned off their EVD were compared with those who required shunt placement. Demographic and treatment data were analyzed using univariate and multivariable logistic regression. Receiver operating characteristic was used to compare the proposed model's performance against existing ones (Barrow Neurological Institute, chronic hydrocephalus ensuing from SAH score, and shunt dependency in SAH scores).
One hundred patients were included: 50 no shunt and 50 shunt. Advanced age, elevated modified Graeb score, intraventricular hemorrhage, increased clot thickness, acute hydrocephalus, and cerebrospinal fluid protein >110 mg/dL prior to wean attempt were all found to be significantly associated with progression to shunt-dependency (P = 0.0351, 0.0022, 0.0407, 0.0274, 0.0014, and 0.0064, respectively). Multivariate regression demonstrated an area under the curve of 0.7852 (P < 0.0001), outperforming those of the other models.
Our study suggests that elevated modified Graeb score on initial computed tomography and high cerebrospinal fluid protein levels prior to EVD wean are important prognostic indicators for the development of shunt dependency after aneurysmal SAH. Integrating these findings into clinical practice may aid in earlier and more targeted decision-making.
动脉瘤性蛛网膜下腔出血(SAH)常并发永久性分流依赖型脑积水,但难以预测哪些患者风险最高。本研究旨在识别与动脉瘤性SAH后分流依赖相关的新变量,并创建一种比现有模型更优的预测算法。
采用回顾性病例对照设计。纳入出现动脉瘤性SAH并放置了外部脑室引流(EVD)的患者。将成功撤掉EVD的患者与需要放置分流管的患者进行比较。使用单变量和多变量逻辑回归分析人口统计学和治疗数据。采用受试者工作特征曲线来比较所提出模型与现有模型(巴罗神经学研究所模型、SAH后慢性脑积水评分模型以及SAH分流依赖评分模型)的性能。
共纳入100例患者:50例无需分流,50例需要分流。发现高龄、改良Graeb评分升高、脑室内出血、血凝块厚度增加、急性脑积水以及撤管尝试前脑脊液蛋白>110mg/dL均与进展为分流依赖显著相关(P分别为0.0351、0.0022、0.0407、0.0274、0.0014和0.0064)。多变量回归显示曲线下面积为0.7852(P<0.0001),优于其他模型。
我们的研究表明,初始计算机断层扫描时改良Graeb评分升高以及EVD撤管前脑脊液蛋白水平高是动脉瘤性SAH后发生分流依赖的重要预后指标。将这些发现纳入临床实践可能有助于更早且更有针对性地进行决策。