Sudden Unexpected Death in Epilepsy: A Personalized Prediction Tool.
Ashwani JhaCheongeun OhDale HesdorfferBeate DiehlSasha DevoreMartin J BrodieTorbjörn TomsonJosemir W SanderThaddeus S WalczakOrrin DevinskyPublished in: Neurology (2021)
Even when generalized to unseen data, model predictions are more accurate than population-based estimates of SUDEP. Our tool can enable risk-based stratification for biomarker discovery and interventional trials. With further validation in unrepresented populations, it may be suitable for routine individualized clinical decision-making. Clinicians should consider assessment of multiple risk factors, and not focus only on the frequency of convulsions.