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Antiseizure medication withdrawal risk estimation and recommendations: A survey of American Academy of Neurology and EpiCARE members
OBJECTIVE: Choosing candidates for antiseizure medication (ASM) withdrawal in well‐controlled epilepsy is challenging. We evaluated (a) the correlation between neurologists' seizure risk estimation (“clinician predictions”) vs calculated predictions, (b) how viewing calculated predictions influ...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235556/ https://www.ncbi.nlm.nih.gov/pubmed/36721311 http://dx.doi.org/10.1002/epi4.12696 |
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author | Terman, Samuel W. van Griethuysen, Renate Rheaume, Carole E. Slinger, Geertruida Haque, Anisa S. Smith, Shawna N. Kerr, Wesley T. van Asch, Charlotte Otte, Willem M. Ferreira‐Atuesta, Carolina Galovic, Marian Burke, James F. Braun, Kees P. J. |
author_facet | Terman, Samuel W. van Griethuysen, Renate Rheaume, Carole E. Slinger, Geertruida Haque, Anisa S. Smith, Shawna N. Kerr, Wesley T. van Asch, Charlotte Otte, Willem M. Ferreira‐Atuesta, Carolina Galovic, Marian Burke, James F. Braun, Kees P. J. |
author_sort | Terman, Samuel W. |
collection | PubMed |
description | OBJECTIVE: Choosing candidates for antiseizure medication (ASM) withdrawal in well‐controlled epilepsy is challenging. We evaluated (a) the correlation between neurologists' seizure risk estimation (“clinician predictions”) vs calculated predictions, (b) how viewing calculated predictions influenced recommendations, and (c) barriers to using risk calculation. METHODS: We asked US and European neurologists to predict 2‐year seizure risk after ASM withdrawal for hypothetical vignettes. We compared ASM withdrawal recommendations before vs after viewing calculated predictions, using generalized linear models. RESULTS: Three‐hundred and forty‐six neurologists responded. There was moderate correlation between clinician and calculated predictions (Spearman coefficient 0.42). Clinician predictions varied widely, for example, predictions ranged 5%‐100% for a 2‐year seizure‐free adult without epileptiform abnormalities. Mean clinician predictions exceeded calculated predictions for vignettes with epileptiform abnormalities (eg, childhood absence epilepsy: clinician 65%, 95% confidence interval [CI] 57%‐74%; calculated 46%) and surgical vignettes (eg, focal cortical dysplasia 6‐month seizure‐free mean clinician 56%, 95% CI 52%‐60%; calculated 28%). Clinicians overestimated the influence of epileptiform EEG findings on withdrawal risk (26%, 95% CI 24%‐28%) compared with calculators (14%, 95% 13%‐14%). Viewing calculated predictions slightly reduced willingness to withdraw (−0.8/10 change, 95% CI −1.0 to −0.7), particularly for vignettes without epileptiform abnormalities. The greatest barrier to calculator use was doubting its accuracy (44%). SIGNIFICANCE: Clinicians overestimated the influence of abnormal EEGs particularly for low‐risk patients and overestimated risk and the influence of seizure‐free duration for surgical patients, compared with calculators. These data may question widespread ordering of EEGs or time‐based seizure‐free thresholds for surgical patients. Viewing calculated predictions reduced willingness to withdraw particularly without epileptiform abnormalities. |
format | Online Article Text |
id | pubmed-10235556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102355562023-06-03 Antiseizure medication withdrawal risk estimation and recommendations: A survey of American Academy of Neurology and EpiCARE members Terman, Samuel W. van Griethuysen, Renate Rheaume, Carole E. Slinger, Geertruida Haque, Anisa S. Smith, Shawna N. Kerr, Wesley T. van Asch, Charlotte Otte, Willem M. Ferreira‐Atuesta, Carolina Galovic, Marian Burke, James F. Braun, Kees P. J. Epilepsia Open Original Articles OBJECTIVE: Choosing candidates for antiseizure medication (ASM) withdrawal in well‐controlled epilepsy is challenging. We evaluated (a) the correlation between neurologists' seizure risk estimation (“clinician predictions”) vs calculated predictions, (b) how viewing calculated predictions influenced recommendations, and (c) barriers to using risk calculation. METHODS: We asked US and European neurologists to predict 2‐year seizure risk after ASM withdrawal for hypothetical vignettes. We compared ASM withdrawal recommendations before vs after viewing calculated predictions, using generalized linear models. RESULTS: Three‐hundred and forty‐six neurologists responded. There was moderate correlation between clinician and calculated predictions (Spearman coefficient 0.42). Clinician predictions varied widely, for example, predictions ranged 5%‐100% for a 2‐year seizure‐free adult without epileptiform abnormalities. Mean clinician predictions exceeded calculated predictions for vignettes with epileptiform abnormalities (eg, childhood absence epilepsy: clinician 65%, 95% confidence interval [CI] 57%‐74%; calculated 46%) and surgical vignettes (eg, focal cortical dysplasia 6‐month seizure‐free mean clinician 56%, 95% CI 52%‐60%; calculated 28%). Clinicians overestimated the influence of epileptiform EEG findings on withdrawal risk (26%, 95% CI 24%‐28%) compared with calculators (14%, 95% 13%‐14%). Viewing calculated predictions slightly reduced willingness to withdraw (−0.8/10 change, 95% CI −1.0 to −0.7), particularly for vignettes without epileptiform abnormalities. The greatest barrier to calculator use was doubting its accuracy (44%). SIGNIFICANCE: Clinicians overestimated the influence of abnormal EEGs particularly for low‐risk patients and overestimated risk and the influence of seizure‐free duration for surgical patients, compared with calculators. These data may question widespread ordering of EEGs or time‐based seizure‐free thresholds for surgical patients. Viewing calculated predictions reduced willingness to withdraw particularly without epileptiform abnormalities. John Wiley and Sons Inc. 2023-02-14 /pmc/articles/PMC10235556/ /pubmed/36721311 http://dx.doi.org/10.1002/epi4.12696 Text en © 2023 The Authors. Epilepsia Open published by Wiley Periodicals LLC on behalf of International League Against Epilepsy. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Terman, Samuel W. van Griethuysen, Renate Rheaume, Carole E. Slinger, Geertruida Haque, Anisa S. Smith, Shawna N. Kerr, Wesley T. van Asch, Charlotte Otte, Willem M. Ferreira‐Atuesta, Carolina Galovic, Marian Burke, James F. Braun, Kees P. J. Antiseizure medication withdrawal risk estimation and recommendations: A survey of American Academy of Neurology and EpiCARE members |
title | Antiseizure medication withdrawal risk estimation and recommendations: A survey of American Academy of Neurology and EpiCARE members |
title_full | Antiseizure medication withdrawal risk estimation and recommendations: A survey of American Academy of Neurology and EpiCARE members |
title_fullStr | Antiseizure medication withdrawal risk estimation and recommendations: A survey of American Academy of Neurology and EpiCARE members |
title_full_unstemmed | Antiseizure medication withdrawal risk estimation and recommendations: A survey of American Academy of Neurology and EpiCARE members |
title_short | Antiseizure medication withdrawal risk estimation and recommendations: A survey of American Academy of Neurology and EpiCARE members |
title_sort | antiseizure medication withdrawal risk estimation and recommendations: a survey of american academy of neurology and epicare members |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235556/ https://www.ncbi.nlm.nih.gov/pubmed/36721311 http://dx.doi.org/10.1002/epi4.12696 |
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