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© 2007 American Academy of Neurology Can patients with epilepsy predict their seizures?From the Comprehensive Epilepsy Management Center (S.R.H.) and Departments of Neurology (S.R.H., C.B.H., R.B.L.) and Epidemiology and Population Health (C.B.H., A.J.L., R.B.L.), Montefiore Medical Center and the Albert Einstein College of Medicine, Bronx, NY. Address correspondence and reprint requests to Dr. Sheryl R. Haut, Epilepsy Management Center, Montefiore Medical Center, 111 East 210th Street, Bronx, NY 10467-2490; e-mail: haut{at}aecom.yu.edu Objective: To examine seizure predictability in a cohort of adult patients using a prospective seizure diary study, to assess the validity of a patient's predictions, and to determine if a subgroup of patients with epilepsy were able to reliably predict their seizures.
Methods: Eligible subjects were 18 or older, had localization-related epilepsy, had Results: Seventy-one subjects returned 15,635 diary entries. A positive prediction of seizures was associated with a twofold increased risk of seizure (Cochran-Mantel-Haenszel OR 2.25 (1.91 to 2.65). Overall, the specificity of positive prediction was 83.2% while the sensitivity was 31.9%. Twelve subjects (21% of subjects who had seizures) demonstrated significant within person OR; Cochran-Mantel-Haenszel OR for positive prediction in this predictor subgroup 3.14 (2.53 to 3.89). Predictors were younger (p = 0.026) and had a higher seizure rate (p = 0.003) than nonpredictors. Conclusions: A significant subgroup of our adult patients with epilepsy were able to self-predict their seizures, which may yield novel therapeutic opportunities.
Additional material related to this article can be found on the Neurology Web site. Go to www.neurology.org and scroll down the Table of Contents for the January 23 issue to find the title link for this article. Editorial, see page 250 See also pages 308 and 309 Supported by NIH grant K23 NS02192 (PI: Dr. Haut). Disclosure: The authors report no conflicts of interest. Received April 27, 2006. Accepted in final form October 30, 2006.
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1 seizure within 12 months, and were able to self-maintain a seizure diary. Seizure self-prediction was assessed by a rating scale: "Do you think you will have a seizure in the next 24 hours?" Seizure prediction and seizure occurrence were modeled as binary outcomes. OR, positive predictive value, and negative predictive value were calculated for group and individuals, adjusted for the within person correlations. 
