Clinical predictors of 2-year outcome of resective epilepsy surgery in adults with refractory epilepsy: a cohort study — Buranee Kanchanatawan (2014) | RDL Network
Clinical predictors of 2-year outcome of resective epilepsy surgery in adults with refractory epilepsy: a cohort study
Article 2014 en
Authors
BK
Buranee Kanchanatawan
CL
C Limothai
TS
Teeradej Srikijvilaikul
Abstract
1 min read
Objectives Resective epilepsy surgery is currently a standard treatment for intractable epilepsy. Seizure freedom and discontinuation of antiepileptic drugs are the ultimate goals of epilepsy treatment. This study was carried out to delineate (1) possible differences in the success rate of epilepsy surgery 6 and 24 months after surgery; and (2) the clinical predictors of a good response to surgery. Setting This is a cohort study performed at a tertiary care unit of a university hospital. Participants In this cohort study, 189 adults with intractable epilepsy who underwent epilepsy surgery were included. We collected clinical data at three time points, that is, preoperative and 6 and 24 months after surgery. Primary and secondary outcome measures Engel class I–IV classification was the primary outcome measure of epilepsy surgery. The authors statistically adjusted Engel class I–IV classification for postoperative changes in antiepileptic drugs and used this new classification as a secondary outcome variable. Results The success rate was 78.8% 6 months after surgery and increased to 88.3% 24 months after surgery. This success rate was reflected not only by the reduced number of seizures postsurgery, but also by a reduced dosage and use of antiepileptic drugs. Logistic regression analysis showed that a successful outcome of surgery is predicted by having temporal rather than extratemporal lobe epilepsy and less than nine presurgery seizures per month, while a positive familial history of epilepsy, younger age and dysphoric symptoms, the first 3 months after surgery, significantly worsened the outcome of surgery. Duration of illness, age at onset, epilepsy location, type of lesions and the presence of psychosis were not significant in predicting treatment outcome. Conclusions These findings have clinical relevance in that a better selection of patients based on the significant clinical predictors will increase the success rate of epilepsy surgery and treatment.
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