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Prediction of seizure recurrence risk following discontinuation of antiepileptic drugs

OBJECTIVE: Discontinuation of antiepileptic drugs (AEDs) in seizure‐free patients is an important goal because of possible long‐term side effects and the social stigma burden of epilepsy. The purpose of this work was to assess seizure recurrence risk after suspension of AEDs, to evaluate predictors...

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Autores principales: Contento, Margherita, Bertaccini, Bruno, Biggi, Martina, Magliani, Matteo, Failli, Ylenia, Rosati, Eleonora, Massacesi, Luca, Paganini, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457060/
https://www.ncbi.nlm.nih.gov/pubmed/34250596
http://dx.doi.org/10.1111/epi.16993
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author Contento, Margherita
Bertaccini, Bruno
Biggi, Martina
Magliani, Matteo
Failli, Ylenia
Rosati, Eleonora
Massacesi, Luca
Paganini, Marco
author_facet Contento, Margherita
Bertaccini, Bruno
Biggi, Martina
Magliani, Matteo
Failli, Ylenia
Rosati, Eleonora
Massacesi, Luca
Paganini, Marco
author_sort Contento, Margherita
collection PubMed
description OBJECTIVE: Discontinuation of antiepileptic drugs (AEDs) in seizure‐free patients is an important goal because of possible long‐term side effects and the social stigma burden of epilepsy. The purpose of this work was to assess seizure recurrence risk after suspension of AEDs, to evaluate predictors for recurrence, and to investigate the recovery of seizure control after relapse. In addition, the accuracy of a previously published prediction model of seizure recurrence risk was estimated. METHODS: Seizure‐free patients with epilepsy who had discontinued AEDs were retrospectively enrolled. The frequency of seizure relapses after AED withdrawal as well as prognosis after recurrence were assessed and the predictive role of baseline clinical‐demographic variables was evaluated. The aforementioned prediction model was also validated and its accuracy assessed at different seizure‐relapse probability levels. RESULTS: The enrolled patients (n = 133) had been followed for a median of 3 years (range 0.8–33 years) after AED discontinuation; 60 (45%) of them relapsed. Previous febrile seizures in childhood (hazard ratio [HR] 3.927; 95% confidence interval [CI] 1.403–10.988), a seizure‐free period on therapy of less than 2 years (HR 2.313; 95% CI 1.193–4.486), and persistent motor deficits (HR 4.568; 95% CI 1.412–14.772) were the clinical features associated with relapse risk in univariate analysis. Among these variables, only a seizure‐free period on therapy of less than 2 years was associated with seizure recurrence in multivariate analysis (HR 2.365; 95% CI 1.178–4.7444). Pharmacological control of epilepsy was restored in 82.4% of the patients who relapsed. In this population, the aforementioned prediction model showed an unsatisfactory accuracy. SIGNIFICANCE: A period of freedom from seizure on therapy of less than 2 years was the main predictor of seizure recurrence. The accuracy of the previously described prediction tool was low in this cohort, thus suggesting its cautious use in real‐world clinical practice.
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spelling pubmed-84570602021-09-27 Prediction of seizure recurrence risk following discontinuation of antiepileptic drugs Contento, Margherita Bertaccini, Bruno Biggi, Martina Magliani, Matteo Failli, Ylenia Rosati, Eleonora Massacesi, Luca Paganini, Marco Epilepsia Full‐length Original Research OBJECTIVE: Discontinuation of antiepileptic drugs (AEDs) in seizure‐free patients is an important goal because of possible long‐term side effects and the social stigma burden of epilepsy. The purpose of this work was to assess seizure recurrence risk after suspension of AEDs, to evaluate predictors for recurrence, and to investigate the recovery of seizure control after relapse. In addition, the accuracy of a previously published prediction model of seizure recurrence risk was estimated. METHODS: Seizure‐free patients with epilepsy who had discontinued AEDs were retrospectively enrolled. The frequency of seizure relapses after AED withdrawal as well as prognosis after recurrence were assessed and the predictive role of baseline clinical‐demographic variables was evaluated. The aforementioned prediction model was also validated and its accuracy assessed at different seizure‐relapse probability levels. RESULTS: The enrolled patients (n = 133) had been followed for a median of 3 years (range 0.8–33 years) after AED discontinuation; 60 (45%) of them relapsed. Previous febrile seizures in childhood (hazard ratio [HR] 3.927; 95% confidence interval [CI] 1.403–10.988), a seizure‐free period on therapy of less than 2 years (HR 2.313; 95% CI 1.193–4.486), and persistent motor deficits (HR 4.568; 95% CI 1.412–14.772) were the clinical features associated with relapse risk in univariate analysis. Among these variables, only a seizure‐free period on therapy of less than 2 years was associated with seizure recurrence in multivariate analysis (HR 2.365; 95% CI 1.178–4.7444). Pharmacological control of epilepsy was restored in 82.4% of the patients who relapsed. In this population, the aforementioned prediction model showed an unsatisfactory accuracy. SIGNIFICANCE: A period of freedom from seizure on therapy of less than 2 years was the main predictor of seizure recurrence. The accuracy of the previously described prediction tool was low in this cohort, thus suggesting its cautious use in real‐world clinical practice. John Wiley and Sons Inc. 2021-07-12 2021-09 /pmc/articles/PMC8457060/ /pubmed/34250596 http://dx.doi.org/10.1111/epi.16993 Text en © 2021 The Authors. Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Full‐length Original Research
Contento, Margherita
Bertaccini, Bruno
Biggi, Martina
Magliani, Matteo
Failli, Ylenia
Rosati, Eleonora
Massacesi, Luca
Paganini, Marco
Prediction of seizure recurrence risk following discontinuation of antiepileptic drugs
title Prediction of seizure recurrence risk following discontinuation of antiepileptic drugs
title_full Prediction of seizure recurrence risk following discontinuation of antiepileptic drugs
title_fullStr Prediction of seizure recurrence risk following discontinuation of antiepileptic drugs
title_full_unstemmed Prediction of seizure recurrence risk following discontinuation of antiepileptic drugs
title_short Prediction of seizure recurrence risk following discontinuation of antiepileptic drugs
title_sort prediction of seizure recurrence risk following discontinuation of antiepileptic drugs
topic Full‐length Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457060/
https://www.ncbi.nlm.nih.gov/pubmed/34250596
http://dx.doi.org/10.1111/epi.16993
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