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Mimics of Autoimmune Encephalitis: Validation of the 2016 Clinical Autoimmune Encephalitis Criteria

BACKGROUND AND OBJECTIVES: The clinical criteria for autoimmune encephalitis (AE) were proposed by Graus et al. in 2016. In this study, the AE criteria were validated in the real world, and common AE mimics were described. In addition, criteria for probable anti-LGI1 encephalitis were proposed and v...

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Autores principales: Van Steenhoven, Robin W., de Vries, Juna M., Bruijstens, Arlette L., Paunovic, Manuela, Nagtzaam, Mariska M., Franken, Suzanne C., Bastiaansen, Anna E., De Bruijn, Marienke A., Van Sonderen, Agnes, Schreurs, Marco W.J., Gardeniers, Mayke, Verdijk, Robert M., Balvers, Rutger K., Sillevis Smitt, Peter A., Neuteboom, Rinze F., Titulaer, Maarten J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427145/
https://www.ncbi.nlm.nih.gov/pubmed/37582614
http://dx.doi.org/10.1212/NXI.0000000000200148
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author Van Steenhoven, Robin W.
de Vries, Juna M.
Bruijstens, Arlette L.
Paunovic, Manuela
Nagtzaam, Mariska M.
Franken, Suzanne C.
Bastiaansen, Anna E.
De Bruijn, Marienke A.
Van Sonderen, Agnes
Schreurs, Marco W.J.
Gardeniers, Mayke
Verdijk, Robert M.
Balvers, Rutger K.
Sillevis Smitt, Peter A.
Neuteboom, Rinze F.
Titulaer, Maarten J.
author_facet Van Steenhoven, Robin W.
de Vries, Juna M.
Bruijstens, Arlette L.
Paunovic, Manuela
Nagtzaam, Mariska M.
Franken, Suzanne C.
Bastiaansen, Anna E.
De Bruijn, Marienke A.
Van Sonderen, Agnes
Schreurs, Marco W.J.
Gardeniers, Mayke
Verdijk, Robert M.
Balvers, Rutger K.
Sillevis Smitt, Peter A.
Neuteboom, Rinze F.
Titulaer, Maarten J.
author_sort Van Steenhoven, Robin W.
collection PubMed
description BACKGROUND AND OBJECTIVES: The clinical criteria for autoimmune encephalitis (AE) were proposed by Graus et al. in 2016. In this study, the AE criteria were validated in the real world, and common AE mimics were described. In addition, criteria for probable anti-LGI1 encephalitis were proposed and validated. METHODS: In this retrospective cohort study, patients referred to our national referral center with suspicion of AE and specific neuroinflammatory disorders with similar clinical presentations were included from July 2016 to December 2019. Exclusion criteria were pure cerebellar or peripheral nerve system disorders. All patients were evaluated according to the AE criteria. RESULTS: In total, 239 patients were included (56% female; median age 42 years, range 1–85). AE was diagnosed in 104 patients (44%) and AE mimics in 109 patients (46%). The most common AE mimics and misdiagnoses were neuroinflammatory CNS disorders (26%), psychiatric disorders (19%), epilepsy with a noninflammatory cause (13%), CNS infections (7%), neurodegenerative diseases (7%), and CNS neoplasms (6%). Common confounding factors were mesiotemporal lesions on brain MRI (17%) and false-positive antibodies in serum (12%). Additional mesiotemporal features (involvement extralimbic structures, enhancement, diffusion restriction) were observed more frequently in AE mimics compared with AE (61% vs 24%; p = 0.005). AE criteria showed the following sensitivity and specificity: possible AE, 83% (95% CI 74–89) and 27% (95% CI 20–36); definite autoimmune limbic encephalitis (LE), 10% (95% CI 5–17) and 98% (95% CI 94–100); and probable anti-NMDAR encephalitis, 50% (95% CI 26–74) and 96% (95% CI 92–98), respectively. Specificity of the criteria for probable seronegative AE was 99% (95% CI 96–100). The newly proposed criteria for probable anti-LGI1 encephalitis showed a sensitivity of 66% (95% CI 47–81) and specificity of 96% (95% CI 93–98). DISCUSSION: AE mimics occur frequently. Common pitfalls in AE misdiagnosis are mesiotemporal lesions (predominantly with atypical features) and false-positive serum antibodies. As expected, the specificity of the criteria for possible AE is low because these criteria represent the minimal requirements for entry in the diagnostic algorithm for AE. Criteria for probable AE (-LGI1, -NMDAR, seronegative) and definite autoimmune LE are applicable for decisions on immunotherapy in early disease stage, as specificity is high.
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spelling pubmed-104271452023-08-16 Mimics of Autoimmune Encephalitis: Validation of the 2016 Clinical Autoimmune Encephalitis Criteria Van Steenhoven, Robin W. de Vries, Juna M. Bruijstens, Arlette L. Paunovic, Manuela Nagtzaam, Mariska M. Franken, Suzanne C. Bastiaansen, Anna E. De Bruijn, Marienke A. Van Sonderen, Agnes Schreurs, Marco W.J. Gardeniers, Mayke Verdijk, Robert M. Balvers, Rutger K. Sillevis Smitt, Peter A. Neuteboom, Rinze F. Titulaer, Maarten J. Neurol Neuroimmunol Neuroinflamm Research Article BACKGROUND AND OBJECTIVES: The clinical criteria for autoimmune encephalitis (AE) were proposed by Graus et al. in 2016. In this study, the AE criteria were validated in the real world, and common AE mimics were described. In addition, criteria for probable anti-LGI1 encephalitis were proposed and validated. METHODS: In this retrospective cohort study, patients referred to our national referral center with suspicion of AE and specific neuroinflammatory disorders with similar clinical presentations were included from July 2016 to December 2019. Exclusion criteria were pure cerebellar or peripheral nerve system disorders. All patients were evaluated according to the AE criteria. RESULTS: In total, 239 patients were included (56% female; median age 42 years, range 1–85). AE was diagnosed in 104 patients (44%) and AE mimics in 109 patients (46%). The most common AE mimics and misdiagnoses were neuroinflammatory CNS disorders (26%), psychiatric disorders (19%), epilepsy with a noninflammatory cause (13%), CNS infections (7%), neurodegenerative diseases (7%), and CNS neoplasms (6%). Common confounding factors were mesiotemporal lesions on brain MRI (17%) and false-positive antibodies in serum (12%). Additional mesiotemporal features (involvement extralimbic structures, enhancement, diffusion restriction) were observed more frequently in AE mimics compared with AE (61% vs 24%; p = 0.005). AE criteria showed the following sensitivity and specificity: possible AE, 83% (95% CI 74–89) and 27% (95% CI 20–36); definite autoimmune limbic encephalitis (LE), 10% (95% CI 5–17) and 98% (95% CI 94–100); and probable anti-NMDAR encephalitis, 50% (95% CI 26–74) and 96% (95% CI 92–98), respectively. Specificity of the criteria for probable seronegative AE was 99% (95% CI 96–100). The newly proposed criteria for probable anti-LGI1 encephalitis showed a sensitivity of 66% (95% CI 47–81) and specificity of 96% (95% CI 93–98). DISCUSSION: AE mimics occur frequently. Common pitfalls in AE misdiagnosis are mesiotemporal lesions (predominantly with atypical features) and false-positive serum antibodies. As expected, the specificity of the criteria for possible AE is low because these criteria represent the minimal requirements for entry in the diagnostic algorithm for AE. Criteria for probable AE (-LGI1, -NMDAR, seronegative) and definite autoimmune LE are applicable for decisions on immunotherapy in early disease stage, as specificity is high. Lippincott Williams & Wilkins 2023-08-15 /pmc/articles/PMC10427145/ /pubmed/37582614 http://dx.doi.org/10.1212/NXI.0000000000200148 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Research Article
Van Steenhoven, Robin W.
de Vries, Juna M.
Bruijstens, Arlette L.
Paunovic, Manuela
Nagtzaam, Mariska M.
Franken, Suzanne C.
Bastiaansen, Anna E.
De Bruijn, Marienke A.
Van Sonderen, Agnes
Schreurs, Marco W.J.
Gardeniers, Mayke
Verdijk, Robert M.
Balvers, Rutger K.
Sillevis Smitt, Peter A.
Neuteboom, Rinze F.
Titulaer, Maarten J.
Mimics of Autoimmune Encephalitis: Validation of the 2016 Clinical Autoimmune Encephalitis Criteria
title Mimics of Autoimmune Encephalitis: Validation of the 2016 Clinical Autoimmune Encephalitis Criteria
title_full Mimics of Autoimmune Encephalitis: Validation of the 2016 Clinical Autoimmune Encephalitis Criteria
title_fullStr Mimics of Autoimmune Encephalitis: Validation of the 2016 Clinical Autoimmune Encephalitis Criteria
title_full_unstemmed Mimics of Autoimmune Encephalitis: Validation of the 2016 Clinical Autoimmune Encephalitis Criteria
title_short Mimics of Autoimmune Encephalitis: Validation of the 2016 Clinical Autoimmune Encephalitis Criteria
title_sort mimics of autoimmune encephalitis: validation of the 2016 clinical autoimmune encephalitis criteria
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427145/
https://www.ncbi.nlm.nih.gov/pubmed/37582614
http://dx.doi.org/10.1212/NXI.0000000000200148
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