Journal article
Neuropsychiatric disorders following SARS-CoV-2 infection
- Abstract:
- Several large-scale electronic health records studies have reported increased diagnostic rates for neuropsychiatric disorders following Coronavirus disease 2019 [COVID-19 or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 infection)], but many questions remain. To highlight the issues, we selectively review this literature, focussing on mood disorder, anxiety disorder, psychotic disorder, and cognitive impairment (‘brain fog’). Eight key questions are addressed, comprising: (i) the nature and magnitude of the risks; (ii) their association with severity of infection; (iii) their duration; (iv) whether the risks differ between adults and children, or between men and women; (v) whether prior vaccination protects against them; (vi) the risk profile associated with different SARS-CoV-2 strains; (vii) what the underlying mechanisms might be; and (viii) whether the sequelae can be predicted. We consider the major unknowns, the limitations of electronic health records for research in this area, and the use of additional approaches to help characterise and understand the neuropsychiatric burden of COVID-19.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 324.5KB, Terms of use)
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- Publisher copy:
- 10.1093/brain/awad008
Authors
- Publisher:
- Oxford University Press
- Journal:
- Brain More from this journal
- Volume:
- 146
- Issue:
- 6
- Pages:
- 2241-2247
- Publication date:
- 2023-02-02
- Acceptance date:
- 2022-12-22
- DOI:
- EISSN:
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1460-2156
- ISSN:
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0006-8950
- Language:
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English
- Keywords:
- Pubs id:
-
1324975
- Local pid:
-
pubs:1324975
- Deposit date:
-
2023-01-23
- ARK identifier:
Terms of use
- Copyright holder:
- Harrison and Taquet
- Copyright date:
- 2023
- Rights statement:
- © The Author(s) 2023. Published by Oxford University Press on behalf of the Guarantors of Brain. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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