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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.
Afiliación
  • Terman SW; Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
  • van Griethuysen R; Department of Clinical Neurophysiology and Sleep Centre, SEIN, Zwolle, The Netherlands.
  • Rheaume CE; American Academy of Neurology, Minneapolis, Minnesota, USA.
  • Slinger G; Department of Child Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, member of ERN EpiCARE, Utrecht University, Utrecht, The Netherlands.
  • Haque AS; University of Michigan Medical School, Ann Arbor, Michigan, USA.
  • Smith SN; Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
  • Kerr WT; Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
  • van Asch C; Department of Clinical Neurophysiology and Sleep Centre, SEIN, Zwolle, The Netherlands.
  • Otte WM; Department of Child Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, member of ERN EpiCARE, Utrecht University, Utrecht, The Netherlands.
  • Ferreira-Atuesta C; Department of Clinical and Experimental Epilepsy (DCEE), NIHR University College London Hospitals Biomedical Research Centre, UCL Queen Square Institute of Neurology, London, UK.
  • Galovic M; Chalfont Centre for Epilepsy, Chalfont St Peter, UK.
  • Burke JF; Department of Neurology, The Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Braun KPJ; Department of Neurology, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland.
Epilepsia Open ; 8(2): 386-398, 2023 06.
Article en En | MEDLINE | ID: mdl-36721311
ABSTRACT

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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Síndrome de Abstinencia a Sustancias / Epilepsia Tipo Ausencia / Neurología Tipo de estudio: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Límite: Adult / Child / Humans Idioma: En Revista: Epilepsia Open Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Síndrome de Abstinencia a Sustancias / Epilepsia Tipo Ausencia / Neurología Tipo de estudio: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Límite: Adult / Child / Humans Idioma: En Revista: Epilepsia Open Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos