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Antibodies Contributing to Focal Epilepsy Signs and Symptoms Score
MAAM. de Bruijn, AEM. Bastiaansen, H. Mojzisova, A. van Sonderen, RD. Thijs, MJM. Majoie, RPW. Rouhl, MH. van Coevorden-Hameete, JM. de Vries, A. Muñoz Lopetegi, B. Roozenbeek, MWJ. Schreurs, PAE. Sillevis Smitt, MJ. Titulaer, ACES Study Group
Language English Country United States
Document type Journal Article, Multicenter Study, Observational Study, Research Support, Non-U.S. Gov't
PubMed
33427313
DOI
10.1002/ana.26013
Knihovny.cz E-resources
- MeSH
- Autoimmune Diseases diagnostic imaging immunology psychology MeSH
- Autoantibodies analysis MeSH
- Behavior MeSH
- Adult MeSH
- Electroencephalography MeSH
- Epilepsies, Partial diagnostic imaging immunology psychology MeSH
- Glutamate Decarboxylase genetics immunology MeSH
- Cognition Disorders etiology psychology MeSH
- Cohort Studies MeSH
- Humans MeSH
- Magnetic Resonance Imaging MeSH
- Prospective Studies MeSH
- Risk Factors MeSH
- Seizures diagnostic imaging etiology immunology MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Multicenter Study MeSH
- Observational Study MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Czech Republic MeSH
- Netherlands MeSH
OBJECTIVE: Diagnosing autoimmune encephalitis (AIE) is difficult in patients with less fulminant diseases such as epilepsy. However, recognition is important, as patients require immunotherapy. This study aims to identify antibodies in patients with focal epilepsy of unknown etiology, and to create a score to preselect patients requiring testing. METHODS: In this prospective, multicenter cohort study, adults with focal epilepsy of unknown etiology, without recognized AIE, were included, between December 2014 and December 2017, and followed for 1 year. Serum, and if available cerebrospinal fluid, were analyzed using different laboratory techniques. The ACES score was created using factors favoring an autoimmune etiology of seizures (AES), as determined by multivariate logistic regression. The model was externally validated and evaluated using the Concordance (C) statistic. RESULTS: We included 582 patients, with median epilepsy duration of 8 years (interquartile range = 2-18). Twenty patients (3.4%) had AES, of whom 3 had anti-leucine-rich glioma inactivated 1, 3 had anti-contactin-associated protein-like 2, 1 had anti-N-methyl-D-aspartate receptor, and 13 had anti-glutamic acid decarboxylase 65 (enzyme-linked immunosorbent assay concentrations >10,000IU/ml). Risk factors for AES were temporal magnetic resonance imaging hyperintensities (odds ratio [OR] = 255.3, 95% confidence interval [CI] = 19.6-3332.2, p < 0.0001), autoimmune diseases (OR = 13.31, 95% CI = 3.1-56.6, p = 0.0005), behavioral changes (OR 12.3, 95% CI = 3.2-49.9, p = 0.0003), autonomic symptoms (OR = 13.3, 95% CI = 3.1-56.6, p = 0.0005), cognitive symptoms (OR = 30.6, 95% CI = 2.4-382.7, p = 0.009), and speech problems (OR = 9.6, 95% CI = 2.0-46.7, p = 0.005). The internally validated C statistic was 0.95, and 0.92 in the validation cohort (n = 128). Assigning each factor 1 point, an antibodies contributing to focal epilepsy signs and symptoms (ACES) score ≥ 2 had a sensitivity of 100% to detect AES, and a specificity of 84.9%. INTERPRETATION: Specific signs point toward AES in focal epilepsy of unknown etiology. The ACES score (cutoff ≥ 2) is useful to select patients requiring antibody testing. ANN NEUROL 2021;89:698-710.
August Pi i Sunyer Biomedical Research Institute Barcelona Spain
Department of Immunology Erasmus MC University Medical Center Rotterdam the Netherlands
Department of Neurology Erasmus MC University Medical Center Rotterdam the Netherlands
Department of Neurology Leiden University Medical Center Leiden the Netherlands
Department of Neurology Maastricht University Medical Center Maastricht the Netherlands
Department of Neurology Stichting Epilepsie Instellingen Nederland Heemstede the Netherlands
References provided by Crossref.org
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