Ventriculoperitoneal Shunt Drainage Increases With Gravity and Cerebrospinal Fluid Pressure Pulsations: Benchtop Model.


Journal

Neurosurgery
ISSN: 1524-4040
Titre abrégé: Neurosurgery
Pays: United States
ID NLM: 7802914

Informations de publication

Date de publication:
18 11 2021
Historique:
received: 19 03 2021
accepted: 09 07 2021
pubmed: 17 9 2021
medline: 24 3 2022
entrez: 16 9 2021
Statut: ppublish

Résumé

There have been few improvements in cerebrospinal fluid (CSF) shunt technology since John Holter introduced the silicon valve, with overdrainage remaining a major source of complications. To better understand why valves are afflicted by supra-normal CSF flow rates. We present in Vitro benchtop analyses of flow through a differential pressure valve under simulated physiological conditions. The pseudo-ventricle benchtop valve testing platform that comprises a rigid pseudo-ventricle, compliance chamber, pulsation generator, and pressure sensors was used to measure flow rates through a differential pressure shunt valve under the following simulated physiological conditions: orientation (horizontal/vertical), compliance (low/medium/high), and pulsation generator force (low/medium/high). Our data show that pulse pressures are faithfully transmitted from the ventricle to the valve, that lower compliance and higher pulse generator forces lead to higher pulse pressures in the pseudo-ventricle, and that both gravity and higher pulse pressure lead to higher flow rates. The presence of a valve mitigates but does not eliminate these higher flow rates. Shunt valves are prone to gravity-dependent overdrainage, which has motivated the development of gravitational valves and antisiphon devices. This study shows that overdrainage is not limited to the vertical position but that pulse pressures that simulate rhythmic (eg, cardiac) and provoked (eg, Valsalva) physiological CSF pulsations increase outflow in both the horizontal and vertical positions and are dependent on compliance. A deeper understanding of the physiological parameters that affect intracranial pressure and flow through shunt systems is prerequisite to the development of novel valves.

Sections du résumé

BACKGROUND
There have been few improvements in cerebrospinal fluid (CSF) shunt technology since John Holter introduced the silicon valve, with overdrainage remaining a major source of complications.
OBJECTIVE
To better understand why valves are afflicted by supra-normal CSF flow rates. We present in Vitro benchtop analyses of flow through a differential pressure valve under simulated physiological conditions.
METHODS
The pseudo-ventricle benchtop valve testing platform that comprises a rigid pseudo-ventricle, compliance chamber, pulsation generator, and pressure sensors was used to measure flow rates through a differential pressure shunt valve under the following simulated physiological conditions: orientation (horizontal/vertical), compliance (low/medium/high), and pulsation generator force (low/medium/high).
RESULTS
Our data show that pulse pressures are faithfully transmitted from the ventricle to the valve, that lower compliance and higher pulse generator forces lead to higher pulse pressures in the pseudo-ventricle, and that both gravity and higher pulse pressure lead to higher flow rates. The presence of a valve mitigates but does not eliminate these higher flow rates.
CONCLUSION
Shunt valves are prone to gravity-dependent overdrainage, which has motivated the development of gravitational valves and antisiphon devices. This study shows that overdrainage is not limited to the vertical position but that pulse pressures that simulate rhythmic (eg, cardiac) and provoked (eg, Valsalva) physiological CSF pulsations increase outflow in both the horizontal and vertical positions and are dependent on compliance. A deeper understanding of the physiological parameters that affect intracranial pressure and flow through shunt systems is prerequisite to the development of novel valves.

Identifiants

pubmed: 34528096
pii: 6370902
doi: 10.1093/neuros/nyab336
pmc: PMC8600163
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1141-1147

Subventions

Organisme : NCI NIH HHS
ID : P30 CA014520
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002373
Pays : United States

Informations de copyright

© Congress of Neurological Surgeons 2021.

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Auteurs

Joyce Koueik (J)

Department of Neurological Surgery, University of Wisconsin, Madison, Wisconsin, USA.

Bermans J Iskandar (BJ)

Department of Neurological Surgery, University of Wisconsin, Madison, Wisconsin, USA.

Zhe Yang (Z)

Department of Electrical Engineering, University of Wisconsin, Madison, Wisconsin, USA.

Mark R Kraemer (MR)

Department of Neurological Surgery, University of Wisconsin, Madison, Wisconsin, USA.

Stephanie Armstrong (S)

Department of Neurological Surgery, University of Wisconsin, Madison, Wisconsin, USA.

Victor Wakim (V)

Department of Neurological Surgery, University of Wisconsin, Madison, Wisconsin, USA.

Aimee Teo Broman (AT)

Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, Wisconsin, USA.

Joshua Medow (J)

Department of Neurological Surgery, University of Wisconsin, Madison, Wisconsin, USA.
Department of Biomedical Engineering, University of Wisconsin, Madison, Wisconsin, USA.

Christopher Luzzio (C)

Department of Neurology, University of Wisconsin, Madison, Wisconsin, USA.
Department of Mechanical Engineering, University of Wisconsin, Madison, Wisconsin, USA.

David A Hsu (DA)

Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, Wisconsin, USA.

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