Prognosticating autoimmune encephalitis: A systematic review

James Broadley, Udaya Seneviratne, Paul Beech, Katherine Buzzard, Helmut Butzkueven, Terence O'Brien, Mastura Monif

Research output: Contribution to journalReview ArticleResearchpeer-review

Abstract

Objective: To perform a systematic review of the current scientific literature in order to identify variables associated with patient prognosis in autoimmune encephalitis. Methods: We performed a systematic literature search using MEDLINE, Embase, PubMed and PsychInfo databases. We selected studies that explored the correlation between early clinical and paraclinical findings, and patient outcomes. Data was extracted, analyzed and recorded in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Results: Forty four publications detailing 2823 subjects matched our inclusion criteria. There was considerable heterogeneity in methodology, patient profile, investigation results and clinical outcome measures. Findings were often discrepant for cases of anti-NMDAR encephalitis when compared with other causes of autoimmune encephalitis. Delay in immunotherapy contributed to a variety of worse outcomes for patients with different subsets of autoimmune encephalitis. Altered consciousness, ICU admission and no use of immunotherapy were variables associated with poor prognosis in anti-NMDAR encephalitis. Older age, sex, the presence of status epilepticus, CSF abnormalities and MRI changes were unlikely to have significant prognostic value. The influence of antibody titers, autonomic dysfunction and underlying malignancy was unclear. Conclusions: A number of variables were identified to have potential predictive value for outcomes in autoimmune encephalitis. Heterogeneous study design, size and quality were major limiting factors in this review.

Original languageEnglish
Pages (from-to)24-34
Number of pages11
JournalJournal of Autoimmunity
Volume96
DOIs
Publication statusPublished - 1 Jan 2019

Keywords

  • Autoimmune encephalitis
  • NMDA
  • Outcome
  • Predictor
  • Prognosis

Cite this

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title = "Prognosticating autoimmune encephalitis: A systematic review",
abstract = "Objective: To perform a systematic review of the current scientific literature in order to identify variables associated with patient prognosis in autoimmune encephalitis. Methods: We performed a systematic literature search using MEDLINE, Embase, PubMed and PsychInfo databases. We selected studies that explored the correlation between early clinical and paraclinical findings, and patient outcomes. Data was extracted, analyzed and recorded in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Results: Forty four publications detailing 2823 subjects matched our inclusion criteria. There was considerable heterogeneity in methodology, patient profile, investigation results and clinical outcome measures. Findings were often discrepant for cases of anti-NMDAR encephalitis when compared with other causes of autoimmune encephalitis. Delay in immunotherapy contributed to a variety of worse outcomes for patients with different subsets of autoimmune encephalitis. Altered consciousness, ICU admission and no use of immunotherapy were variables associated with poor prognosis in anti-NMDAR encephalitis. Older age, sex, the presence of status epilepticus, CSF abnormalities and MRI changes were unlikely to have significant prognostic value. The influence of antibody titers, autonomic dysfunction and underlying malignancy was unclear. Conclusions: A number of variables were identified to have potential predictive value for outcomes in autoimmune encephalitis. Heterogeneous study design, size and quality were major limiting factors in this review.",
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Prognosticating autoimmune encephalitis : A systematic review. / Broadley, James; Seneviratne, Udaya; Beech, Paul; Buzzard, Katherine; Butzkueven, Helmut; O'Brien, Terence; Monif, Mastura.

In: Journal of Autoimmunity, Vol. 96, 01.01.2019, p. 24-34.

Research output: Contribution to journalReview ArticleResearchpeer-review

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