HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Figures Only Full Text Full Text (PDF) CME: Take the course for this article: Volume 68, Number 4, January 23, 2007 Data Supplement Correspondence: Submit a response Correspondence: View responses Alert me when this article is cited Alert me when Correspondence are posted Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Haut, S. R. Articles by Lipton, R. B. Search for Related Content PubMed Articles by Haut, S. R. Articles by Lipton, R. B. Related Collections Related Articles

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 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.

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.

Related Articles

Of seizure prediction, statistics, and dogs: A cautionary tail

Brian Litt and Abba Krieger
Neurology 2007 68: 250-251. [Full Text] [PDF]

This article has been cited by other articles:

				S. R. Haut, C. B. Hall, J. Masur, and R. B. Lipton Seizure occurrence: Precipitants and prediction Neurology, November 13, 2007; 69(20): 1905 - 1910. [Abstract] [Full Text] [PDF]

				M. Mula, F. Monaco, S. R. Haut, C. B. Hall, A. J. LeValley, and R. B. Lipton CAN PATIENTS WITH EPILEPSY PREDICT THEIR SEIZURES? Neurology, July 31, 2007; 69(5): 494 - 494. [Full Text] [PDF]

				B. Litt and A. Krieger Of seizure prediction, statistics, and dogs: A cautionary tail Neurology, January 23, 2007; 68(4): 250 - 251. [Full Text] [PDF]

Correspondence: