title: Identifying seizure clusters in patients with epilepsy.
abstract: Clinicians often encounter patients whose neurologic attacks appear to cluster. In a daily diary study, the authors explored whether clustering is a true phenomenon in epilepsy and can be identified in the clinical setting. Nearly half the subjects experienced at least one episode of three or more seizures in 24 hours; 20% also met a statistical clustering criterion. Utilizing the clinical definition of clustering should identify all seizure clusterers, and false positives can be determined with diary data.
authors.affiliation: Comprehensive Epilepsy Management Center, Montefiore Medical Center, The Albert Einstein College of Medicine, Bronx, NY, USA. haut@aecom.yu.edu
authors.forename: S R
authors.initials: SR
authors.lastname: Haut
authors.forename: R B
authors.initials: RB
authors.lastname: Lipton
authors.forename: A J
authors.initials: AJ
authors.lastname: LeValley
authors.forename: C B
authors.initials: CB
authors.lastname: Hall
authors.forename: S
authors.initials: S
authors.lastname: Shinnar
mesh_terms: D000328:Adult; D002908:Chronic Disease; D015331:Cohort Studies; D003937:Diagnosis, Differential; D004827:Epilepsy / Q000175:diagnosis* / Q000503:physiopathology; D005189:False Positive Reactions; D005260:Female; D006801:Humans; D008297:Male; D008499:Medical Records; D009460:Neurologic Examination; D012008:Recurrence; D013029:Space-Time Clustering; D016008:Statistical Distributions; D013997:Time Factors