Journal article
A clinical approach to diagnosis of autoimmune encephalitis
- Abstract:
- Encephalitis is a severe inflammatory disorder of the brain with many possible causes and a complex differential diagnosis. Advances in autoimmune encephalitis research in the past 10 years have led to the identification of new syndromes and biomarkers that have transformed the diagnostic approach to these disorders. However, existing criteria for autoimmune encephalitis are too reliant on antibody testing and response to immunotherapy, which might delay the diagnosis. We reviewed the literature and gathered the experience of a team of experts with the aims of developing a practical, syndrome-based diagnostic approach to autoimmune encephalitis and providing guidelines to navigate through the differential diagnosis. Because autoantibody test results and response to therapy are not available at disease onset, we based the initial diagnostic approach on neurological assessment and conventional tests that are accessible to most clinicians. Through logical differential diagnosis, levels of evidence for autoimmune encephalitis (possible, probable, or definite) are achieved, which can lead to prompt immunotherapy.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Publisher copy:
- 10.1016/S1474-4422(15)00401-9
Authors
+ National Institute for Health Research Oxford Biomedical Research Centre
More from this funder
- Funding agency for:
- Waters, P
- Grant:
- National Specialised Commissioning Group for Neuromyelitis Optica, UK
+ National Health Service
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- Funding agency for:
- Waters, P
- Grant:
- National Specialised Commissioning Group for Neuromyelitis Optica, UK
- Publisher:
- Elsevier
- Journal:
- Lancet Neurology More from this journal
- Volume:
- 15
- Issue:
- 4
- Pages:
- 391–404
- Publication date:
- 2016-01-01
- DOI:
- EISSN:
-
1474-4465
- ISSN:
-
1474-4422
- Pubs id:
-
pubs:607454
- UUID:
-
uuid:636511cd-aeec-47e5-be6b-ebb8fa23c50c
- Local pid:
-
pubs:607454
- Source identifiers:
-
607454
- Deposit date:
-
2016-03-09
- ARK identifier:
Terms of use
- Copyright holder:
- Elsevier Ltd
- Copyright date:
- 2016
- Notes:
- Copyright © 2016 Elsevier Ltd. This is the accepted manuscript version of the article. The final version is available online from Elsevier at: http://dx.doi.org/10.1016/S1474-4422(15)00401-9
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