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多中心儿科-脑积水分流器生物库的特征描述。

Characterization of a multicenter pediatric-hydrocephalus shunt biobank.

机构信息

Wayne State University School of Medicine, 540 E. Canfield Avenue, Detroit, MI, 48201, USA.

Wayne State University Dept. of Chemical Engineering and Materials Science, 6135 Woodward Avenue, Rm 1413, Detroit, MI, 48202, USA.

出版信息

Fluids Barriers CNS. 2020 Jul 18;17(1):45. doi: 10.1186/s12987-020-00211-6.

Abstract

BACKGROUND

Pediatric hydrocephalus is a devastating and costly disease. The mainstay of treatment is still surgical shunting of cerebrospinal fluid (CSF). These shunts fail at a high rate and impose a significant burden on patients, their families and society. The relationship between clinical decision making and shunt failure is poorly understood and multifaceted, but catheter occlusion remains the most frequent cause of shunt complications. In order to investigate factors that affect shunt failure, we have established the Wayne State University (WSU) shunt biobank.

METHODS

To date, four hospital centers have contributed various components of failed shunts and CSF from patients diagnosed with hydrocephalus before adulthood. The hardware samples are transported in paraformaldehyde and transferred to phosphate-buffered saline with sodium azide upon deposit into the biobank. Once in the bank, they are then available for study. Informed consent is obtained by the local center before corresponding clinical data are entered into a REDCap database. Data such as hydrocephalus etiology and details of shunt revision history. All data are entered under a coded identifier.

RESULTS

293 shunt samples were collected from 228 pediatric patients starting from May 2015 to September 2019. We saw a significant difference in the number of revisions per patient between centers (Kruskal-Wallis H test, p value < 0.001). The leading etiology at all centers was post-hemorrhagic hydrocephalus, a fisher's exact test showed there to be statistically significant differences in etiology between center (p = 0.01). Regression showed age (p < 0.01), race (p = 0.038) and hospital-center (p < 0.001) to explain significant variance in the number of revisions. Our model accounted for 31.9% of the variance in revisions. Generalized linear modeling showed hydrocephalus etiology (p < 0.001), age (p < 0.001), weight and physician (p < 0.001) to impact the number of ventricular obstructions.

CONCLUSION

The retrospective analysis identified that differences exist between currently enrolled centers, although further work is needed before clinically actionable recommendations can be made. Moreover, the variables collected from this chart review explain a meaningful amount of variance in the number of revision surgeries. Future work will expand on the contribution of different site-specific and patient-specific factors to identify potential cause and effect relationships.

摘要

背景

小儿脑积水是一种破坏性且代价高昂的疾病。其主要治疗方法仍然是手术引流脑脊液(CSF)。这些分流器的失败率很高,给患者、患者家庭和社会带来了巨大的负担。临床决策与分流器故障之间的关系尚不清楚,且因素复杂,但导管阻塞仍然是分流器并发症最常见的原因。为了研究影响分流器故障的因素,我们建立了韦恩州立大学(WSU)分流器生物库。

方法

迄今为止,四个医院中心已经提供了各种有故障的分流器的硬件组件和成年前被诊断为脑积水的患者的 CSF。硬件样本在多聚甲醛中运输,并在存入生物库时转移到含叠氮化钠的磷酸盐缓冲液中。一旦存入银行,就可以供研究使用。在将相应的临床数据输入 REDCap 数据库之前,当地中心会获得知情同意。数据例如脑积水病因和分流器修订历史的详细信息。所有数据都以编码标识符输入。

结果

从 2015 年 5 月到 2019 年 9 月,从 228 名儿科患者中收集了 293 个分流器样本。我们发现各中心之间每位患者的修订次数有显著差异(Kruskal-Wallis H 检验,p 值<0.001)。所有中心的主要病因都是出血后脑积水,Fisher 确切检验显示中心之间的病因存在统计学差异(p=0.01)。回归显示年龄(p<0.01)、种族(p=0.038)和医院中心(p<0.001)可以解释修订次数的显著差异。我们的模型解释了修订次数变化的 31.9%。广义线性模型显示,脑积水病因(p<0.001)、年龄(p<0.001)、体重和医生(p<0.001)都会影响脑室阻塞的数量。

结论

回顾性分析表明,目前参与的中心之间存在差异,尽管在提出临床可行的建议之前还需要进一步的工作。此外,从这份图表回顾中收集的变量解释了修订手术次数的大量差异。未来的工作将扩展到不同特定地点和特定患者因素的贡献,以确定潜在的因果关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0759/7368709/e4c8b8e9b33b/12987_2020_211_Fig1_HTML.jpg

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