Yitzhak Schiller1, Yussef Najjar. 1. Department of Neurology, Rambam Medical Center, 1 Efron St., Haifa, Israel. y_schiller@yahoo.com
Abstract
OBJECTIVE: To quantify the response to treatment with antiepileptic drugs (AEDs) as a function of the past treatment history and identify additional prognostic factors for predicting the response to newly administered AED treatments. METHODS: A cohort of 478 consecutive patients who received newly administered AED treatments between January 1999 and December 2004 and were followed prospectively for 1.5 to 7.5 years in a single epilepsy clinic. RESULTS: The response to newly administered AED treatments was highly dependent on the past treatment history. The seizure-free rates decreased from 61.8% for the first AED to 41.7%, 16.6%, and 0% after one, two to five, and six to seven past AEDs proved inefficient. This response curve corresponded to a mono-exponential function with a maximal response of 61.8% and half-decay constant of 1.5 AEDs. Likewise the response curve describing a greater than 50% reduction in seizure frequency corresponded to a mono-exponential function with a maximal response of 85.3% and half-decay constant of two AEDs. Three additional independent prognostic factors for predicting the response to AEDs were identified: type of epilepsy, duration of epilepsy, and number of seizures in the 3 months prior to AED initiation. CONCLUSION: Drug resistance is a graded process that follows a mono-exponential course with a half-decay constant of 1.5 to two antiepileptic drugs (AEDs). Although relative drug-resistant epilepsy can be diagnosed after failure of two past AEDs, absolute drug resistance requires failure of six AEDs, as a significant minority of patients (16.6%) is rendered seizure-free by addition of newly administered AEDs even after failure of two to five past antiepileptic drugs.
OBJECTIVE: To quantify the response to treatment with antiepileptic drugs (AEDs) as a function of the past treatment history and identify additional prognostic factors for predicting the response to newly administered AED treatments. METHODS: A cohort of 478 consecutive patients who received newly administered AED treatments between January 1999 and December 2004 and were followed prospectively for 1.5 to 7.5 years in a single epilepsy clinic. RESULTS: The response to newly administered AED treatments was highly dependent on the past treatment history. The seizure-free rates decreased from 61.8% for the first AED to 41.7%, 16.6%, and 0% after one, two to five, and six to seven past AEDs proved inefficient. This response curve corresponded to a mono-exponential function with a maximal response of 61.8% and half-decay constant of 1.5 AEDs. Likewise the response curve describing a greater than 50% reduction in seizure frequency corresponded to a mono-exponential function with a maximal response of 85.3% and half-decay constant of two AEDs. Three additional independent prognostic factors for predicting the response to AEDs were identified: type of epilepsy, duration of epilepsy, and number of seizures in the 3 months prior to AED initiation. CONCLUSION: Drug resistance is a graded process that follows a mono-exponential course with a half-decay constant of 1.5 to two antiepileptic drugs (AEDs). Although relative drug-resistant epilepsy can be diagnosed after failure of two past AEDs, absolute drug resistance requires failure of six AEDs, as a significant minority of patients (16.6%) is rendered seizure-free by addition of newly administered AEDs even after failure of two to five past antiepileptic drugs.
Authors: Steve Chung; Elinor Ben-Menachem; Michael R Sperling; William Rosenfeld; Nathan B Fountain; Selim Benbadis; David Hebert; Jouko Isojärvi; Pamela Doty Journal: CNS Drugs Date: 2010-12 Impact factor: 5.749
Authors: Vicente Villanueva; Mercedes Garcés; Elena López-Gomáriz; José María Serratosa; Beatriz González-Giráldez; Jaime Parra; Juan Rodríguez-Uranga; Manuel Toledo; Francisco Javier López González; Pedro Bermejo; Pau Giner; Ascensión Castillo; Albert Molins; Dulce Campos; José Ángel Mauri; Rosario Muñoz; Macarena Bonet; Pedro Serrano-Castro; Ana del Villar; Rosa Ana Saiz-Díaz Journal: Clin Drug Investig Date: 2015-02 Impact factor: 2.859