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Identification of patients who will not achieve seizure remission within 5 years on AEDs

OBJECTIVE: To identify people with epilepsy who will not achieve a 12-month seizure remission within 5 years of starting treatment. METHODS: The Standard and New Antiepileptic Drug (SANAD) study is the largest prospective study in patients with epilepsy to date. We applied a recently developed multi...

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Autores principales: Hughes, David M., Bonnett, Laura J., Czanner, Gabriela, Komárek, Arnošt, Marson, Anthony G., García-Fiñana, Marta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6282237/
https://www.ncbi.nlm.nih.gov/pubmed/30389894
http://dx.doi.org/10.1212/WNL.0000000000006564
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author Hughes, David M.
Bonnett, Laura J.
Czanner, Gabriela
Komárek, Arnošt
Marson, Anthony G.
García-Fiñana, Marta
author_facet Hughes, David M.
Bonnett, Laura J.
Czanner, Gabriela
Komárek, Arnošt
Marson, Anthony G.
García-Fiñana, Marta
author_sort Hughes, David M.
collection PubMed
description OBJECTIVE: To identify people with epilepsy who will not achieve a 12-month seizure remission within 5 years of starting treatment. METHODS: The Standard and New Antiepileptic Drug (SANAD) study is the largest prospective study in patients with epilepsy to date. We applied a recently developed multivariable approach to the SANAD dataset that takes into account not only baseline covariates describing a patient's history before diagnosis but also follow-up data as predictor variables. RESULTS: Changes in number of seizures and treatment history were the most informative time-dependent predictors and were associated with history of neurologic insult, epilepsy type, age at start of treatment, sex, and having a first-degree relative with epilepsy. Our model classified 95% of patients. Of those classified, 95% of patients observed not to achieve remission at 5 years were correctly classified (95% confidence interval [CI] 89.5%–100%), with 51% identified by 3 years and 90% within 4 years of follow-up. Ninety-seven percent (95% CI 93.3%–98.8%) of patients observed to achieve a remission within 5 years were correctly classified. Of those predicted not to achieve remission, 76% (95% CI 58.5%–88.2%) truly did not achieve remission (positive predictive value). The predictive model achieved similar accuracy levels via external validation in 2 independent United Kingdom–based datasets. CONCLUSION: Our approach generates up-to-date predictions of the patient's risk of not achieving seizure remission whenever new clinical information becomes available that could influence patient counseling and management decisions.
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spelling pubmed-62822372018-12-24 Identification of patients who will not achieve seizure remission within 5 years on AEDs Hughes, David M. Bonnett, Laura J. Czanner, Gabriela Komárek, Arnošt Marson, Anthony G. García-Fiñana, Marta Neurology Article OBJECTIVE: To identify people with epilepsy who will not achieve a 12-month seizure remission within 5 years of starting treatment. METHODS: The Standard and New Antiepileptic Drug (SANAD) study is the largest prospective study in patients with epilepsy to date. We applied a recently developed multivariable approach to the SANAD dataset that takes into account not only baseline covariates describing a patient's history before diagnosis but also follow-up data as predictor variables. RESULTS: Changes in number of seizures and treatment history were the most informative time-dependent predictors and were associated with history of neurologic insult, epilepsy type, age at start of treatment, sex, and having a first-degree relative with epilepsy. Our model classified 95% of patients. Of those classified, 95% of patients observed not to achieve remission at 5 years were correctly classified (95% confidence interval [CI] 89.5%–100%), with 51% identified by 3 years and 90% within 4 years of follow-up. Ninety-seven percent (95% CI 93.3%–98.8%) of patients observed to achieve a remission within 5 years were correctly classified. Of those predicted not to achieve remission, 76% (95% CI 58.5%–88.2%) truly did not achieve remission (positive predictive value). The predictive model achieved similar accuracy levels via external validation in 2 independent United Kingdom–based datasets. CONCLUSION: Our approach generates up-to-date predictions of the patient's risk of not achieving seizure remission whenever new clinical information becomes available that could influence patient counseling and management decisions. Lippincott Williams & Wilkins 2018-11-27 /pmc/articles/PMC6282237/ /pubmed/30389894 http://dx.doi.org/10.1212/WNL.0000000000006564 Text en Copyright © 2018 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Hughes, David M.
Bonnett, Laura J.
Czanner, Gabriela
Komárek, Arnošt
Marson, Anthony G.
García-Fiñana, Marta
Identification of patients who will not achieve seizure remission within 5 years on AEDs
title Identification of patients who will not achieve seizure remission within 5 years on AEDs
title_full Identification of patients who will not achieve seizure remission within 5 years on AEDs
title_fullStr Identification of patients who will not achieve seizure remission within 5 years on AEDs
title_full_unstemmed Identification of patients who will not achieve seizure remission within 5 years on AEDs
title_short Identification of patients who will not achieve seizure remission within 5 years on AEDs
title_sort identification of patients who will not achieve seizure remission within 5 years on aeds
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6282237/
https://www.ncbi.nlm.nih.gov/pubmed/30389894
http://dx.doi.org/10.1212/WNL.0000000000006564
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