Predictors of neural-specific autoantibodies and immunotherapy response in patients with cognitive dysfunction

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Recognition of autoimmunity as a cause of encephalopathy has increased. Recent studies have validated the use of Antibody-Prevalence-in-Epilepsy (APE) and Responsive-to-immunotherapy-in-Epilepsy (RITE) scores in the evaluation and management of autoimmune-epilepsy. We aim to assess the utility of these models for patients with cognitive dysfunction. Among the evaluated patients, 17% had antibodies universally associated with autoimmune-encephalopathy. NMDA-R-IgG and LGI1-IgG were the most common antibody specificities. Antibody-Prevalence-in-Epilepsy-and-Encephalopathy (APE2) score ≥ 4 was 99% sensitive and 93% specific for neural-specific-antibodies. Responsive-to-immunotherapy-in-Epilepsy-and-Encephalopathy (RITE2) score ≥ 7 had 96% sensitivity and 86% specificity for favorable initial immunotherapy response. Application of these models may optimize autoantibody evaluations and immunotherapeutic trials.

Original languageEnglish (US)
Pages (from-to)62-72
Number of pages11
JournalJournal of neuroimmunology
Volume323
DOIs
StatePublished - Oct 15 2018

Keywords

  • Autoimmune limbic encephalitis
  • Immunotherapy
  • Paraneoplastic limbic encephalitis
  • Predictive model

ASJC Scopus subject areas

  • Immunology and Allergy
  • Immunology
  • Neurology
  • Clinical Neurology

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