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AI-CoV Study: Autoimmune Encephalitis Associated With COVID-19 and Its Vaccines—A Systematic Review
BACKGROUND AND PURPOSE: Autoimmune encephalitis (AIE) following coronavirus disease 2019 (COVID-19) is an underexplored condition. This study aims to systematically review the clinico-investigational and pathophysiologic aspects of COVID-19 and its vaccines in association with AIE, and identify the...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Korean Neurological Association
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669562/ https://www.ncbi.nlm.nih.gov/pubmed/36367067 http://dx.doi.org/10.3988/jcn.2022.18.6.692 |
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author | Samim, MM Dhar, Debjyoti Goyal, Sheetal Dey, Treshita Parvin, Naznin Shah, Rutul D. Singh, Vikram Chowdhury, Sampurna Lal, Bhavesh Mohan Varghese, Nibu Gohel, Abhishek Chowdhury, Abhishek Chatterjee, Aritra Siddiqui, Shahyan |
author_facet | Samim, MM Dhar, Debjyoti Goyal, Sheetal Dey, Treshita Parvin, Naznin Shah, Rutul D. Singh, Vikram Chowdhury, Sampurna Lal, Bhavesh Mohan Varghese, Nibu Gohel, Abhishek Chowdhury, Abhishek Chatterjee, Aritra Siddiqui, Shahyan |
author_sort | Samim, MM |
collection | PubMed |
description | BACKGROUND AND PURPOSE: Autoimmune encephalitis (AIE) following coronavirus disease 2019 (COVID-19) is an underexplored condition. This study aims to systematically review the clinico-investigational and pathophysiologic aspects of COVID-19 and its vaccines in association with AIE, and identify the factors predicting neurological severity and outcomes. METHODS: Relevant data sources were searched using appropriate search terms on January 15, 2022. Studies meeting the criteria for AIE having a temporal association with COVID-19 or its vaccines were included. RESULTS: Out of 1,894 citations, we included 61 articles comprising 88 cases: 71 of COVID-19-associated AIE, 3 of possible Bickerstaff encephalitis, and 14 of vaccine-associated AIE.There were 23 definite and 48 possible seronegative AIE cases. Anti-NMDAR (N-methyl-D-aspartate receptor; n=12, 16.9%) was the most common definite AIE. Males were more commonly affected (sex ratio=1.63) in the AIE subgroup. The neurological symptoms included alteredmental state (n=53, 74.6%), movement disorders (n=28, 39.4%), seizures (n=24, 33.8%), behavioural (n=25, 35.2%), and speech disturbances (n=17, 23.9%). The median latency to AIE diagnosis was 14 days (interquartile range=4–22 days). Female sex and ICU admission had higherrisks of sequelae, with odds ratio (OR) of 2.925 (95% confidence interval [CI]=1.005–8.516)and 3.515 (95% CI=1.160–10.650), respectively. Good immunotherapy response was seen in42/48 (87.5%) and 13/13 (100%) of COVID-19-associated and vaccine-associated AIE patients, respectively. Sequelae were reported in 22/60 (36.7%) COVID-19 associated and 10/13 (76.9%) vaccine-associated cases. CONCLUSIONS: The study has revealed diagnostic, therapeutic, and pathophysiological aspects of AIE associated with COVID-19 and its vaccines, and its differences from postinfectious AIE. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration number CRD42021299215 |
format | Online Article Text |
id | pubmed-9669562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Korean Neurological Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-96695622022-11-29 AI-CoV Study: Autoimmune Encephalitis Associated With COVID-19 and Its Vaccines—A Systematic Review Samim, MM Dhar, Debjyoti Goyal, Sheetal Dey, Treshita Parvin, Naznin Shah, Rutul D. Singh, Vikram Chowdhury, Sampurna Lal, Bhavesh Mohan Varghese, Nibu Gohel, Abhishek Chowdhury, Abhishek Chatterjee, Aritra Siddiqui, Shahyan J Clin Neurol Original Article BACKGROUND AND PURPOSE: Autoimmune encephalitis (AIE) following coronavirus disease 2019 (COVID-19) is an underexplored condition. This study aims to systematically review the clinico-investigational and pathophysiologic aspects of COVID-19 and its vaccines in association with AIE, and identify the factors predicting neurological severity and outcomes. METHODS: Relevant data sources were searched using appropriate search terms on January 15, 2022. Studies meeting the criteria for AIE having a temporal association with COVID-19 or its vaccines were included. RESULTS: Out of 1,894 citations, we included 61 articles comprising 88 cases: 71 of COVID-19-associated AIE, 3 of possible Bickerstaff encephalitis, and 14 of vaccine-associated AIE.There were 23 definite and 48 possible seronegative AIE cases. Anti-NMDAR (N-methyl-D-aspartate receptor; n=12, 16.9%) was the most common definite AIE. Males were more commonly affected (sex ratio=1.63) in the AIE subgroup. The neurological symptoms included alteredmental state (n=53, 74.6%), movement disorders (n=28, 39.4%), seizures (n=24, 33.8%), behavioural (n=25, 35.2%), and speech disturbances (n=17, 23.9%). The median latency to AIE diagnosis was 14 days (interquartile range=4–22 days). Female sex and ICU admission had higherrisks of sequelae, with odds ratio (OR) of 2.925 (95% confidence interval [CI]=1.005–8.516)and 3.515 (95% CI=1.160–10.650), respectively. Good immunotherapy response was seen in42/48 (87.5%) and 13/13 (100%) of COVID-19-associated and vaccine-associated AIE patients, respectively. Sequelae were reported in 22/60 (36.7%) COVID-19 associated and 10/13 (76.9%) vaccine-associated cases. CONCLUSIONS: The study has revealed diagnostic, therapeutic, and pathophysiological aspects of AIE associated with COVID-19 and its vaccines, and its differences from postinfectious AIE. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration number CRD42021299215 Korean Neurological Association 2022-11 2022-10-27 /pmc/articles/PMC9669562/ /pubmed/36367067 http://dx.doi.org/10.3988/jcn.2022.18.6.692 Text en Copyright © 2022 Korean Neurological Association https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Samim, MM Dhar, Debjyoti Goyal, Sheetal Dey, Treshita Parvin, Naznin Shah, Rutul D. Singh, Vikram Chowdhury, Sampurna Lal, Bhavesh Mohan Varghese, Nibu Gohel, Abhishek Chowdhury, Abhishek Chatterjee, Aritra Siddiqui, Shahyan AI-CoV Study: Autoimmune Encephalitis Associated With COVID-19 and Its Vaccines—A Systematic Review |
title | AI-CoV Study: Autoimmune Encephalitis Associated With COVID-19 and Its Vaccines—A Systematic Review |
title_full | AI-CoV Study: Autoimmune Encephalitis Associated With COVID-19 and Its Vaccines—A Systematic Review |
title_fullStr | AI-CoV Study: Autoimmune Encephalitis Associated With COVID-19 and Its Vaccines—A Systematic Review |
title_full_unstemmed | AI-CoV Study: Autoimmune Encephalitis Associated With COVID-19 and Its Vaccines—A Systematic Review |
title_short | AI-CoV Study: Autoimmune Encephalitis Associated With COVID-19 and Its Vaccines—A Systematic Review |
title_sort | ai-cov study: autoimmune encephalitis associated with covid-19 and its vaccines—a systematic review |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669562/ https://www.ncbi.nlm.nih.gov/pubmed/36367067 http://dx.doi.org/10.3988/jcn.2022.18.6.692 |
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