Individualized prediction of seizure relapse and outcomes following antiepileptic drug withdrawal after pediatric epilepsy surgery. (15th February 2018)

• Record Type: Journal Article
• Authors: Lamberink, Herm J.; Boshuisen, Kim; Otte, Willem M.; Geleijns, Karin; Braun, Kees P. J.
• Other Names: Feucht M investigator.; Gröppel G investigator.; Kahane P investigator.; Minotti L investigator.; Arzimanoglou A investigator.; Ryvlin P investigator.; Panagiotakaki E investigator.; de Bellescize J investigator.; Ostrowsky‐Coste K investigator.; Hirsch E investigator.; Valenti M investigator.; Polster T investigator.; Sassen R investigator.; Hoppe C investigator.; Kuczaty S investigator.; Elger C investigator.; Schubert S investigator.; Strobl K investigator.; Bast T investigator.; Barba C investigator.; Guerrini R investigator.; Giordano F investigator.; Francione S investigator.; Caputo D investigator.; Boshuisen K investigator.; Braun K P J investigator.; Uiterwaal C S P M investigator.; van Nieuwenhuizen O investigator.; Leijten F S investigator.; van Rijen P C investigator.; Seeck M investigator.; Yalnizoglu D investigator.; Turanli G investigator.; Topcu M investigator.; Özkara C investigator.; Uzan M investigator.; Cross J H investigator.; D'Argenzio L investigator.; Harkness W investigator.;
• Is Part Of: Epilepsia. Volume 59:issue 3(2018)
• Page Start: e28
• Page End: e33
• Publication Date: 2018-02-15
• Subjects: nomogram -- prediction -- prognosis -- seizure recurrence -- seizure freedom; Epilepsy -- Periodicals; 616.853
• DOI: 10.1111/epi.14020
• Languages: English
• ISSNs: 0013-9580

Abstract

Summary: The objective of this study was to create a clinically useful tool for individualized prediction of seizure outcomes following antiepileptic drug withdrawal after pediatric epilepsy surgery. We used data from the European retrospective TimeToStop study, which included 766 children from 15 centers, to perform a proportional hazard regression analysis. The 2 outcome measures were seizure recurrence and seizure freedom in the last year of follow‐up. Prognostic factors were identified through systematic review of the literature. The strongest predictors for each outcome were selected through backward selection, after which nomograms were created. The final models included 3 to 5 factors per model. Discrimination in terms of adjusted concordance statistic was 0.68 (95% confidence interval [CI] 0.67‐0.69) for predicting seizure recurrence and 0.73 (95% CI 0.72‐0.75) for predicting eventual seizure freedom. An online prediction tool is provided onwww.epilepsypredictiontools.info/ttswithdrawal . The presented models can improve counseling of patients and parents regarding postoperative antiepileptic drug policies, by estimating individualized risks of seizure recurrence and eventual outcome.