Characterization of a multicenter pediatric-hydrocephalus shunt biobank.


Journal

Fluids and barriers of the CNS
ISSN: 2045-8118
Titre abrégé: Fluids Barriers CNS
Pays: England
ID NLM: 101553157

Informations de publication

Date de publication:
18 Jul 2020
Historique:
received: 03 05 2020
accepted: 13 07 2020
entrez: 20 7 2020
pubmed: 20 7 2020
medline: 4 5 2021
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 32682437
doi: 10.1186/s12987-020-00211-6
pii: 10.1186/s12987-020-00211-6
pmc: PMC7368709
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

45

Subventions

Organisme : NINDS NIH HHS
ID : R01NS094570
Pays : United States

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Auteurs

Jacob Gluski (J)

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

Paul Zajciw (P)

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

Prashant Hariharan (P)

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

Amanda Morgan (A)

Washington University School of Medicine Dept. of Neurological Surgery, 660 S. Euclid Avenue, St. Louis, MO, 63110, USA.

Diego M Morales (DM)

Washington University School of Medicine Dept. of Neurological Surgery, 660 S. Euclid Avenue, St. Louis, MO, 63110, USA.

Andrew Jea (A)

Riley Hospital for Children at IU Health, 705 Riley Hospital Drive, Indianapolis, IN, 46202, USA.

William Whitehead (W)

Texas Children's Hospital, Baylor College of Medicine, 6701 Fannin Street, Suite 1230.01, Houston, TX, 77030, USA.

Neena Marupudi (N)

Children's Hospital of Michigan Dept. of Neurosurgery, 3901 Beaubien Boulevard, 2nd Floor Carl's Building, Detroit, MI, 48201, USA.

Steven Ham (S)

Children's Hospital of Michigan Dept. of Neurosurgery, 3901 Beaubien Boulevard, 2nd Floor Carl's Building, Detroit, MI, 48201, USA.

Sandeep Sood (S)

Children's Hospital of Michigan Dept. of Neurosurgery, 3901 Beaubien Boulevard, 2nd Floor Carl's Building, Detroit, MI, 48201, USA.

James P McAllister (JP)

Washington University School of Medicine Dept. of Neurological Surgery, 660 S. Euclid Avenue, St. Louis, MO, 63110, USA.

David D Limbrick (DD)

Washington University School of Medicine Dept. of Neurological Surgery, 660 S. Euclid Avenue, St. Louis, MO, 63110, USA.

Carolyn A Harris (CA)

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

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Classifications MeSH