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The Early Prognosis of Epilepsy in Childhood: The Prediction of a Poor Outcome. The Dutch Study of Epilepsy in Childhood
Author(s) -
Arts Willem F. M.,
Geerts Ada T.,
Brouwer Oebele F.,
Peters A. C. Boudewyn,
Stroink Hans,
Donselaar Cees A.
Publication year - 1999
Publication title -
epilepsia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.687
H-Index - 191
eISSN - 1528-1167
pISSN - 0013-9580
DOI - 10.1111/j.1528-1157.1999.tb00770.x
Subject(s) - epilepsy , etiology , logistic regression , pediatrics , multivariate analysis , outcome (game theory) , medicine , multivariate statistics , psychiatry , statistics , mathematics , mathematical economics
Summary:Purpose: To examine which variables available early in the course of childhood epilepsy are associated with a poor short‐term outcome and to develop models to predict such an outcome. Methods: We prospectively followed up 466 children with newly diagnosed epilepsy for 2 years. Variables were collected at intake and after 6 months. Outcome was defined as the duration of the terminal remission (TR): poor (<6 months) and not poor (≥6 months). Results: Of the subjects, 31% had a poor outcome. Multivariate analysis based on the intake variables identified number of seizures, seizure type, and etiology as risk factors for a poor outcome. With the intake and 6‐month variables combined, seizure type, etiology, the number of seizures, and not attaining a 3‐month remission during these 6 months, and the EEG at 6 months were predictive variables. A predictive model based on the multivariate logistic‐regression analysis with the intake variables was correct in 56% of the children in whom it predicted a poor outcome and in 73% of the children in whom it predicted a not‐poor outcome. With the intake and 6‐month variables together, these percentages were 66 and 79%, respectively. The sensitivity of these models was low (29 and 47%, respectively); the specificity was good (90 and 89%). Conclusions: The 2‐year outcome of childhood epilepsy is closely related to its early course. The prognosis is poor in −30% of patients. By using our data, the prediction of a poor outcome is correct in almost two thirds of the patients; however, the models produce many false‐negative predictions.