Acute postoperative seizures after epilepsy surgery – a long-term outcome predictor?
Article first published online: 1 MAR 2010
Copyright © 2010 The Authors. Journal compilation © 2010 Blackwell Munksgaard
Acta Neurologica Scandinavica
Volume 123, Issue 1, pages 48–53, January 2011
How to Cite
Alfstad, K. Å., Lossius, M. I., Røste, G. K., Mowinckel, P., Scheie, D., Borota, O. C., Larsson, P. G. and Nakken, K. O. (2011), Acute postoperative seizures after epilepsy surgery – a long-term outcome predictor?. Acta Neurologica Scandinavica, 123: 48–53. doi: 10.1111/j.1600-0404.2010.01343.x
- Issue published online: 1 MAR 2010
- Article first published online: 1 MAR 2010
- Accepted for publication January 20, 2010
- postoperative seizures;
- seizure outcome;
Alfstad KÅ, Lossius MI, Røste GK, Mowinckel P, Scheie D, Borota OC, Larsson PG, Nakken KO. Acute postoperative seizures after epilepsy surgery – a long-term outcome predictor? Acta Neurol Scand: 2011: 123: 48–53. © 2010 The Authors Journal compilation © 2010 Blackwell Munksgaard.
Objectives – The prognostic value of acute postoperative seizures (APS) after epilepsy surgery is much debated. This study evaluated APS, defined as seizures in the first week post-surgery, as a predictor of long-term seizure outcome, and investigated the utility of other potential outcome predictors.
Materials and methods – Medical records of 48 patients with temporal and extra-temporal epilepsy surgery were studied. Forty patients had lesional surgery. All had at least 2 year postoperative follow-up.
Results – At 2 year follow-up, 25 patients (53%) were seizure free. Univariate analysis showed that APS (P = 0.048), using ≥six AEDs prior to surgery (P = 0.03), pathological postoperative EEG (P = 0.043) and female gender (P = 0.012) were associated with seizure recurrence.
Conclusions – Univariate analysis indicate that APS, a high number of AEDs used prior to surgery, and pathological postoperative EEG are possible predictors of seizure recurrence after epilepsy surgery. Only gender retained significance in the multivariate analysis.