From Risk to Action: Rethinking Epilepsy Diagnosis Through Dynamic Risk Prediction

The current definition of epilepsy allows for a diagnosis after a single unprovoked seizure if the 10-year recurrence risk is estimated at 60% or higher. While evidence-based, this static framework often fails to account for the dynamic nature of neurological recovery and the shorter time horizons relevant to patients' daily lives. The Case for Dynamic Risk: Recent research suggests that integrating short-term risk estimates—such as the Chance of an Occurrence of a Seizure in the Next Year (COSY) —can transform clinical practice. Key Insights:. Evolving Risk Profiles: Post-stroke or post-TBI seizure risk is highest immediately after the event and declines sharply over 1–2 years. A static diagnosis may label someone for life despite a negligible current risk., Individualized Decisions: Using prognostic models like SeLECT, CAVE, or RISE allows clinicians to tailor treatment (ASMs) based on immediate probability rather than long-term statistics., Reducing Overtreatment: By focusing on near-term risk, clinicians can reduce the psychological and social burden of a lifelong epilepsy label for patients whose risk has naturally dissipated. Moving from "Risk" to "Action" means adopting a framework that reflects the brain's ability to heal and ensures that a diagnosis is a tool for care, not just a permanent label.