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Clinical features which predict neuronal surface autoantibodies in new-onset focal epilepsy: implications for immunotherapies

OBJECTIVE: To generate a score which clinically identifies surface-directed autoantibodies in adults with new-onset focal epilepsy, and evaluate the value of immunotherapy in this clinical setting. METHODS: Prospective clinical and autoantibody evaluations in a cohort of 219 consecutive patients wit...

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Autores principales: McGinty, Ronan N, Handel, Adam, Moloney, Teresa, Ramesh, Archana, Fower, Andrew, Torzillo, Emma, Kramer, Holger, Howell, Stephen, Waters, Patrick, Adcock, Jane, Sen, Arjune, Lang, Bethan, Irani, Sarosh R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892387/
https://www.ncbi.nlm.nih.gov/pubmed/33219046
http://dx.doi.org/10.1136/jnnp-2020-325011
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author McGinty, Ronan N
Handel, Adam
Moloney, Teresa
Ramesh, Archana
Fower, Andrew
Torzillo, Emma
Kramer, Holger
Howell, Stephen
Waters, Patrick
Adcock, Jane
Sen, Arjune
Lang, Bethan
Irani, Sarosh R
author_facet McGinty, Ronan N
Handel, Adam
Moloney, Teresa
Ramesh, Archana
Fower, Andrew
Torzillo, Emma
Kramer, Holger
Howell, Stephen
Waters, Patrick
Adcock, Jane
Sen, Arjune
Lang, Bethan
Irani, Sarosh R
author_sort McGinty, Ronan N
collection PubMed
description OBJECTIVE: To generate a score which clinically identifies surface-directed autoantibodies in adults with new-onset focal epilepsy, and evaluate the value of immunotherapy in this clinical setting. METHODS: Prospective clinical and autoantibody evaluations in a cohort of 219 consecutive patients with new-onset focal epilepsy. RESULTS: 10.5% (23/219) of people with new-onset focal epilepsy had detectable serum autoantibodies to known or novel cell surface antigenic targets. 9/23 with autoantibodies were diagnosed with encephalitis, by contrast to 0/196 without autoantibodies (p<0.0001). Multivariate analysis identified six features which predicted autoantibody positivity (area under the curve=0.83): age ≥54 years, ictal piloerection, lowered self-reported mood, reduced attention, MRI limbic system changes and the absence of conventional epilepsy risk factors. 11/14 (79%) patients with detectable autoantibodies, but without encephalitis, showed excellent long-term outcomes (modified Rankin Score=0) despite no immunotherapy. These outcomes were superior to those of immunotherapy-treated patients with confirmed autoantibody-mediated encephalitis (p<0.05). CONCLUSIONS: Seizure semiology, cognitive and mood phenotypes, alongside inflammatory investigation findings, aid the identification of surface autoantibodies among unselected people with new-onset focal epilepsy. The excellent immunotherapy-independent outcomes of autoantibody-positive patients without encephalitis suggests immunotherapy administration should be guided by clinical features of encephalitis, rather than autoantibody positivity. Our findings suggest that, in this cohort, immunotherapy-responsive seizure syndromes with autoantibodies largely fall under the umbrella of autoimmune encephalitis.
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spelling pubmed-78923872021-03-03 Clinical features which predict neuronal surface autoantibodies in new-onset focal epilepsy: implications for immunotherapies McGinty, Ronan N Handel, Adam Moloney, Teresa Ramesh, Archana Fower, Andrew Torzillo, Emma Kramer, Holger Howell, Stephen Waters, Patrick Adcock, Jane Sen, Arjune Lang, Bethan Irani, Sarosh R J Neurol Neurosurg Psychiatry Neuro-Inflammation OBJECTIVE: To generate a score which clinically identifies surface-directed autoantibodies in adults with new-onset focal epilepsy, and evaluate the value of immunotherapy in this clinical setting. METHODS: Prospective clinical and autoantibody evaluations in a cohort of 219 consecutive patients with new-onset focal epilepsy. RESULTS: 10.5% (23/219) of people with new-onset focal epilepsy had detectable serum autoantibodies to known or novel cell surface antigenic targets. 9/23 with autoantibodies were diagnosed with encephalitis, by contrast to 0/196 without autoantibodies (p<0.0001). Multivariate analysis identified six features which predicted autoantibody positivity (area under the curve=0.83): age ≥54 years, ictal piloerection, lowered self-reported mood, reduced attention, MRI limbic system changes and the absence of conventional epilepsy risk factors. 11/14 (79%) patients with detectable autoantibodies, but without encephalitis, showed excellent long-term outcomes (modified Rankin Score=0) despite no immunotherapy. These outcomes were superior to those of immunotherapy-treated patients with confirmed autoantibody-mediated encephalitis (p<0.05). CONCLUSIONS: Seizure semiology, cognitive and mood phenotypes, alongside inflammatory investigation findings, aid the identification of surface autoantibodies among unselected people with new-onset focal epilepsy. The excellent immunotherapy-independent outcomes of autoantibody-positive patients without encephalitis suggests immunotherapy administration should be guided by clinical features of encephalitis, rather than autoantibody positivity. Our findings suggest that, in this cohort, immunotherapy-responsive seizure syndromes with autoantibodies largely fall under the umbrella of autoimmune encephalitis. BMJ Publishing Group 2021-03 2020-11-20 /pmc/articles/PMC7892387/ /pubmed/33219046 http://dx.doi.org/10.1136/jnnp-2020-325011 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Neuro-Inflammation
McGinty, Ronan N
Handel, Adam
Moloney, Teresa
Ramesh, Archana
Fower, Andrew
Torzillo, Emma
Kramer, Holger
Howell, Stephen
Waters, Patrick
Adcock, Jane
Sen, Arjune
Lang, Bethan
Irani, Sarosh R
Clinical features which predict neuronal surface autoantibodies in new-onset focal epilepsy: implications for immunotherapies
title Clinical features which predict neuronal surface autoantibodies in new-onset focal epilepsy: implications for immunotherapies
title_full Clinical features which predict neuronal surface autoantibodies in new-onset focal epilepsy: implications for immunotherapies
title_fullStr Clinical features which predict neuronal surface autoantibodies in new-onset focal epilepsy: implications for immunotherapies
title_full_unstemmed Clinical features which predict neuronal surface autoantibodies in new-onset focal epilepsy: implications for immunotherapies
title_short Clinical features which predict neuronal surface autoantibodies in new-onset focal epilepsy: implications for immunotherapies
title_sort clinical features which predict neuronal surface autoantibodies in new-onset focal epilepsy: implications for immunotherapies
topic Neuro-Inflammation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892387/
https://www.ncbi.nlm.nih.gov/pubmed/33219046
http://dx.doi.org/10.1136/jnnp-2020-325011
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