The SAFARI Score to Assess the Risk of Convulsive Seizure During Admission for Aneurysmal Subarachnoid Hemorrhage

Author:

Jaja Blessing N R1,Schweizer Tom A2,Claassen Jan3,Le Roux Peter45,Mayer Stephan A6,Macdonald R Loch7, ,Noble Adam,Molyneux Andrew,Quinn Audrey,Schatlo Bawarjan,Lo Benjamin,Jaja Blessing N R,Hanggi Daniel,Hasan David,Wong George K C,Etminan Nima,Lantigua Hector,Fukuda Hitoshi,Torner James,Singh Jeff,Suarez Jose I,Spears Julian,Schaller Karl,Stienen Martin N,Vergouwen Mervyn D I,Cusimano Michael D,Todd Michael,Tseng Ming-Yuan,Le Roux Peter,Macdonald R Loch,Johnston S Claiborne,Yamagata Sen,Mayer Stephan,Schenk Thomas,Schweizer Tom A,van den Bergh Walter

Affiliation:

1. Neuroscience Research Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada

2. Department of Surgery, Institute of Medical Science, University of Toronto, Ontario, Canada

3. Division of Critical Care Neurology, Columbia University College of Physicians and Surgeons, New York, New York

4. Thomas Jefferson University, Philadelphia, Pennsylvania

5. Brain and Spine Center, Lankenau Medical Center, Wynnewood, Pennsylvania

6. Icahn School of Medicine at Mount Sinai, New York, New York

7. Department of Surgery, Keenan Research Centre, Li Ka Shing Knowledge Institute of St. Michael's Hospital, University of Toronto, Ontario, Canada

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Neurology (clinical),Surgery

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