Correlation Engine 2.0
Clear Search sequence regions


Refractory frontal lobe epilepsy (FLE) remains one of the most challenging surgically remediable epilepsy syndromes. Nevertheless, definition of independent predictors and predictive models of postsurgical seizure outcome remains poorly explored in FLE. We retrospectively analyzed data from 70 consecutive patients with refractory FLE submitted to surgical treatment at our center from July 1994 to December 2006. Univariate results were submitted to logistic regression models and Cox proportional hazards regression to identify isolated risk factors for poor surgical results and to construct predictive models for surgical outcome in FLE. From 70 patients submitted to surgery, 45 patients (64%) had favorable outcome and 37 (47%) became seizure free. Isolated risk factors for poor surgical outcome are expressed in hazard ratio (H.R.) and were time of epilepsy (H.R.=4.2; 95% C.I.=1.5-11.7; p=0.006), ictal EEG recruiting rhythm (H.R.=2.9; 95% C.I.=1.1-7.7; p=0.033); normal MRI (H.R.=4.8; 95% C.I.=1.4-16.6; p=0.012), and MRI with lesion involving eloquent cortex (H.R.=3.8; 95% C.I.=1.2-12.0; p=0.021). Based on these variables and using a logistic regression model we constructed a model that correctly predicted long-term surgical outcome in up to 80% of patients. Among independent risk factors for postsurgical seizure outcome, epilepsy duration is a potentially modifiable factor that could impact surgical outcome in FLE. Early diagnosis, presence of an MRI lesion not involving eloquent cortex, and ictal EEG without recruited rhythm independently predicted favorable outcome in this series. Copyright © 2011 Elsevier B.V. All rights reserved.

Citation

Ana P Pinheiro-Martins, Marino M Bianchin, Tonicarlo R Velasco, Vera C Terra, David Araújo, Lauro Wichert-Ana, João A Assirati, Hélio R Machado, Carlos G Carlotti, Américo C Sakamoto. Independent predictors and a prognostic model for surgical outcome in refractory frontal lobe epilepsy. Epilepsy research. 2012 Mar;99(1-2):55-63

Expand section icon Mesh Tags


PMID: 22055353

View Full Text