1Department of Neurosurgery, University of Washington, Seattle Children's Hospital, Seattle, Washington.
2Division of Pediatric Neurosurgery, Department of Neurosurgery, Primary Children's Medical Center, University of Utah, Salt Lake City, Utah.
J Neurosurg Pediatr. 2020 Dec 18;27(3):277-286. doi: 10.3171/2020.7.PEDS20111. Print 2021 Mar 1.
The primary objective of this study was to use the prospective Hydrocephalus Clinical Research Network (HCRN) registry to determine clinical predictors of fast time to shunt failure (≤ 30 days from last revision) and ultrafast time to failure (≤ 7 days from last revision).
Revisions (including those due to infection) to permanent shunt placements that occurred between April 2008 and November 2017 for patients whose entire shunt experience was recorded in the registry were analyzed. All registry data provided at the time of initial shunt placement and subsequent revision were reviewed. Key variables analyzed included etiology of hydrocephalus, age at time of initial shunt placement, presence of slit ventricles on imaging at revision, whether the ventricles were enlarged at the time of revision, and presence of prior fast failure events. Univariable and multivariable analyses were performed to find key predictors of fast and ultrafast failure events.
A cohort of 1030 patients with initial shunt insertions experienced a total of 1995 revisions. Of the 1978 revision events with complete records, 1216 (61.5%) shunts remained functional for more than 1 year, and 762 (38.5%) failed within 1 year of the procedure date. Of those that failed within 1 year, 423 (55.5%) failed slowly (31-365 days) and 339 (44.5%) failed fast (≤ 30 days). Of the fast failures, 131 (38.6%) were ultrafast (≤ 7 days). In the multivariable analysis specified a priori, etiology of hydrocephalus (p = 0.005) and previous failure history (p = 0.011) were independently associated with fast failure. Age at time of procedure (p = 0.042) and etiology of hydrocephalus (p = 0.004) were independently associated with ultrafast failure. These relationships in both a priori models were supported by the data-driven multivariable models as well.
Neither the presence of slit ventricle syndrome nor ventricular enlargement at the time of shunt failure appears to be a significant predictor of repeated, rapid shunt revisions. Age at the time of procedure, etiology of hydrocephalus, and the history of previous failure events seem to be important predictors of fast and ultrafast shunt failure. Further work is required to understand the mechanisms of these risk factors as well as mitigation strategies.
本研究的主要目的是利用前瞻性脑积水临床研究网络(HCRN)注册系统确定快速分流失败(上次修订后 30 天内)和超快失败(上次修订后 7 天内)的临床预测因素。
对 2008 年 4 月至 2017 年 11 月期间因永久性分流器放置而进行的修订(包括因感染引起的修订)进行分析,这些修订患者的整个分流器使用经验均记录在注册系统中。回顾了初始分流器放置和随后修订时提供的所有注册数据。分析的关键变量包括脑积水的病因、初始分流器放置时的年龄、修订时影像学上是否存在狭缝脑室、修订时脑室是否扩大以及是否存在先前的快速失败事件。进行了单变量和多变量分析,以找到快速和超快失败事件的关键预测因素。
在接受初始分流器插入术的 1030 例患者中,共有 1995 例接受了修订。在 1978 次具有完整记录的修订事件中,1216 例(61.5%)分流器在手术后 1 年以上仍保持功能,762 例(38.5%)在手术日期后 1 年内发生故障。在 1 年内发生故障的患者中,423 例(55.5%)缓慢(31-365 天)失败,339 例(44.5%)快速(≤30 天)失败。在快速故障中,131 例(38.6%)为超快(≤7 天)。在预先指定的多变量分析中,脑积水的病因(p=0.005)和先前的失败史(p=0.011)与快速失败独立相关。手术时的年龄(p=0.042)和脑积水的病因(p=0.004)与超快失败独立相关。这两个预先模型中的关系也得到了数据驱动的多变量模型的支持。
在分流失败时存在狭缝脑室综合征或脑室扩大似乎都不是重复快速分流修订的重要预测因素。手术时的年龄、脑积水的病因和先前失败事件的病史似乎是快速和超快分流失败的重要预测因素。需要进一步的工作来了解这些危险因素的机制以及缓解策略。