An ordinal clinical score predicts seizure freedom after minimally invasive epilepsy surgery

Adam S. Dickey, Katie L. Bullinger, Dayton Grogan, Melissa M. Asmar, Abdulrahman Alwaki, Ammar Kheder, Veeresh Kumar N. Shivamurthy, Razan R. Faraj, Alexander Greven, Jon T. Willie, Daniel L. Drane, Robert E. Gross

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Objective: To predict one-year seizure freedom, using a combination of relevant clinical variables, following stereotactic laser amygdalohippocampotomy for mesial temporal lobe epilepsy in a series of 101 patients. Methods: Eight predictors of seizure freedom were selected based on their association with medial temporal lobe epilepsy: (1) MRI evidence of mesial temporal sclerosis (MTS); (2) unitemporal interictal epileptiform discharges; (3) absence of generalized tonic–clonic seizures; (4) history of febrile seizures; (5) onset of epilepsy ≤16 years; (6) absence of an auditory, visual, or vertiginous aura; and (7) unitemporal ictal onset; (8) unitemporal PET hypometabolism. We compared four multivariate models: “MTS,” using just evidence of MTS; “FULL,” using all eight binary predictors; “AIC” using backwards selection of variables; and “SCORE,” using a 0-to-8-point ordinal score awarding one point for each binary predictor. Results: In univariate analysis, significant predictors for seizure freedom were evidence of mesial temporal sclerosis (p = 0.011, Fisher exact) and unitemporal interictal discharges (p = 0.005). For multivariate prediction (using leave one-out cross-validation), the ordinal SCORE model had a significantly higher area under the curve (AUC 0.70) than the other three models: MTS (AUC 0.54, p = 0.002, Delong's test), FULL (AUC 0.62, p = 0.003), or AIC (AUC 0.53, p < 0.001). Interpretation: An ordinal score incorporating eight independent binary clinical variables predicted seizure freedom better on novel data than a model using MTS alone, a full multivariate model, or a backwards selected model. The ordinal score model represents a simple clinical heuristic to identify which patients should be offered minimally invasive laser surgery.

Original languageEnglish
Pages (from-to)2327-2336
Number of pages10
JournalAnnals of Clinical and Translational Neurology
Volume11
Issue number9
DOIs
StatePublished - Sep 2024

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