External Validation of Scoring Models to Predict Shunt Insertion after Aneurysmal Subarachnoid Hemorrhage.

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.

Evaluation of nationwide referral pathways, investigation and treatment of suspected cauda equina syndrome in the United Kingdom.

Purpose: Cauda equina syndrome (CES) is a spinal emergency with clinical symptoms and signs that have low diagnostic accuracy. National guidelines in the United Kingdom (UK) state that all patients should undergo an MRI prior to referral to specialist spinal units and surgery should be performed at the earliest opportunity. We aimed to evaluate the current practice of investigating and treating suspected CES in the UK. Materials and Methods: A retrospective, multicentre observational study of the investigation and management of patients with suspected CES was conducted across the UK, including all patients referred to a spinal unit over 6 months between 1st October 2016 and 31st March 2017. Results: A total of 28 UK spinal units submitted data on 4441 referrals. Over half of referrals were made without any previous imaging (n = 2572, 57.9%). Of all referrals, 695 underwent surgical decompression (15.6%). The majority of referrals were made out-of-hours (n = 2229/3517, 63.4%). Patient location and pre-referral imaging were not associated with time intervals from symptom onset or presentation to decompression. Patients investigated outside of the spinal unit experienced longer time intervals from referral to undergoing the MRI scan. Conclusions: This is the largest known study of the investigation and management of suspected CES. We found that the majority of referrals were made without adequate investigations. Most patients were referred out-of-hours and many were transferred for an MRI without subsequently requiring surgery. Adherence to guidelines would reduce the number of referrals to spinal services by 72% and reduce the number of patient transfers by 79%.