The SAFARI Score to Assess the Risk of Convulsive Seizure During Admission for Aneurysmal Subarachnoid Hemorrhage. Issue 6 (27th June 2017)

• Record Type: Journal Article
• Authors: Jaja, Blessing N R; Schweizer, Tom A; Claassen, Jan; Le Roux, Peter; Mayer, Stephan A; Macdonald, R Loch
• Is Part Of: Neurosurgery. Volume 82:Issue 6(2018)
• Page Start: 887
• Page End: 893
• Publication Date: 2017-06-27
• Subjects: Intracranial aneurysm -- Prognosis -- Risk factors -- Seizure -- Subarachnoid hemorrhage; Nervous system -- Surgery -- Periodicals; 617.48005
• DOI: 10.1093/neuros/nyx334
• Languages: English
• ISSNs: 0148-396X

Abstract

Abstract: BACKGROUND: Seizure is a significant complication in patients under acute admission for aneurysmal SAH and could result in poor outcomes. Treatment strategies to optimize management will benefit from methods to better identify at-risk patients. OBJECTIVE: To develop and validate a risk score for convulsive seizure during acute admission for SAH. METHODS: A risk score was developed in 1500 patients from a single tertiary hospital and externally validated in 852 patients. Candidate predictors were identified by systematic review of the literature and were included in a backward stepwise logistic regression model with in-hospital seizure as a dependent variable. The risk score was assessed for discrimination using the area under the receiver operator characteristics curve (AUC) and for calibration using a goodness-of-fit test. RESULTS: The SAFARI score, based on 4 items (age ≥ 60 yr, seizure occurrence before hospitalization, ruptured aneurysm in the anterior circulation, and hydrocephalus requiring cerebrospinal fluid diversion), had AUC = 0.77, 95% confidence interval (CI): 0.73-0.82 in the development cohort. The validation cohort had AUC = 0.65, 95% CI 0.56-0.73. A calibrated increase in the risk of seizure was noted with increasing SAFARI score points. CONCLUSION: The SAFARI score is a simple tool that adequately stratified SAH patients according to their risk for seizure using a few readily derived predictor items. It may contribute to a more individualized management of seizure following SAH.