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Epilepsy affects more than 50 million people worldwide. Refractory epilepsy, defined as failure to respond to two anti-epileptic medications, is often considered for surgery. 30-50% of those who undergo surgery experience seizures after their procedure. Those who experience a seizure following surgery may benefit from prognostic information to determine when subsequent seizures will occur. This knowledge may inform best practices with respect to further surgeries or pharmacologic intervention, thus improving tertiary prevention and public health. Current literature uses the length of time between surgery and the first post-surgery seizure (seizure latency) to predict the long-term outcome of the patient. This study uses seizure latency to examine short-term outcomes and identify the timing of the second and third seizure after surgery. Data was used from a retrospective database at Thomas Jefferson University Hospital’s Comprehensive Epilepsy Center that has been maintained since 1986. Records were initially stratified into temporal (N = 943) and extratemporal (N = 125) surgeries. Statistical analyses were done using SAS software and utilized a Cox proportional hazards model while controlling for demographics and clinical factors. Generally, as seizure latency increased, the time between the first seizure recurrence and subsequent seizures increased. These results were statistical meaningful in the temporal group (First-to-Second Analysis: Wald Chi Square: 39.85, df = 5, p