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Time to 12-month remission and treatment failure for generalised and unclassified epilepsy

OBJECTIVES: To develop prognostic models for time to 12-month remission and time to treatment failure after initiating antiepileptic drug monotherapy for generalised and unclassified epilepsy. METHODS: We analysed data from the Standard and New Antiepileptic Drug (arm B) study, a randomised trial th...

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Detalles Bibliográficos
Autores principales: Bonnett, Laura J, Tudur Smith, Catrin, Smith, David, Williamson, Paula R, Chadwick, David, Marson, Anthony G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4033033/
https://www.ncbi.nlm.nih.gov/pubmed/24292995
http://dx.doi.org/10.1136/jnnp-2013-306040
Descripción
Sumario:OBJECTIVES: To develop prognostic models for time to 12-month remission and time to treatment failure after initiating antiepileptic drug monotherapy for generalised and unclassified epilepsy. METHODS: We analysed data from the Standard and New Antiepileptic Drug (arm B) study, a randomised trial that compared initiating treatment with lamotrigine, topiramate and valproate in patients diagnosed with generalised or unclassified epilepsy. Multivariable regression modelling was used to investigate how clinical factors affect the probability of achieving 12-month remission and treatment failure. RESULTS: Significant factors in the multivariable model for time to 12-month remission were having a relative with epilepsy, neurological insult, total number of tonic-clonic seizures before randomisation, seizure type and treatment. Significant factors in the multivariable model for time to treatment failure were treatment history (antiepileptic drug treatment prior to randomisation), EEG result, seizure type and treatment. CONCLUSIONS: The models described within this paper can be used to identify patients most likely to achieve 12-month remission and most likely to have treatment failure, aiding individual patient risk stratification and the design and analysis of future epilepsy trials.