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Updated: Nov 27, 2025
Endovascular Perforation Model for Subarachnoid Hemorrhage Combined with Magnetic Resonance Imaging MRI
Published on: December 16, 2021
External Validation of Scoring Models to Predict Shunt Insertion after Aneurysmal Subarachnoid Hemorrhage
Dillon Vyas1, James Booker1, Daisy Smith1
1Department of Neurosurgery, Sheffield Teaching Hospital NHS Foundation Trust, Sheffield, United Kingdom.
Background:
The current study is an external validation of 4 scoring models proposed in the literature for predicting ventriculoperitoneal shunt insertion after aneurysmal subarachnoid hemorrhage (aSAH) using retrospective patient data from Sheffield Teaching Hospital (STH).
Methods:
Data were collected on various demographics, and patients were individually scored using the 4 scoring models. Models were compared with each other using receiver-operator characteristic curves. The best model had the highest area under the curve.
Results:
A total of 301 aSAH patients were referred to the neurosurgery department in STH between 1 January 2014 and 31 December 2017. Scoring model 4 also had the largest area under the curve of 0.853 (P < 0.001), and scoring model 3 had the lowest area under the curve of 0.654 (P = 0.036).
Conclusions:
Scoring model 4 was found to be the best scoring model out of the 4 scoring models externally validated to predict shunt dependency after an aSAH in STH patients. Scoring model 4 is less applicable in modern practice due to a higher proportion of coiling and use of the Hunt and Hess scale grade. A new scoring model is needed to predict shunt insertion in modern practice.
