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Pre-pandemic psychiatric disorders and risk of COVID-19: a UK Biobank cohort analysis
BACKGROUND: Psychiatric morbidities have been associated with a risk of severe infections through compromised immunity, health behaviours, or both. However, data are scarce on the association between multiple types of pre-pandemic psychiatric disorders and COVID-19. We aimed to assess the associatio...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7832159/ https://www.ncbi.nlm.nih.gov/pubmed/33521769 http://dx.doi.org/10.1016/S2666-7568(20)30013-1 |
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author | Yang, Huazhen Chen, Wenwen Hu, Yao Chen, Yilong Zeng, Yu Sun, Yajing Ying, Zhiye He, Junhui Qu, Yuanyuan Lu, Donghao Fang, Fang Valdimarsdóttir, Unnur A Song, Huan |
author_facet | Yang, Huazhen Chen, Wenwen Hu, Yao Chen, Yilong Zeng, Yu Sun, Yajing Ying, Zhiye He, Junhui Qu, Yuanyuan Lu, Donghao Fang, Fang Valdimarsdóttir, Unnur A Song, Huan |
author_sort | Yang, Huazhen |
collection | PubMed |
description | BACKGROUND: Psychiatric morbidities have been associated with a risk of severe infections through compromised immunity, health behaviours, or both. However, data are scarce on the association between multiple types of pre-pandemic psychiatric disorders and COVID-19. We aimed to assess the association between pre-pandemic psychiatric disorders and the subsequent risk of COVID-19 using UK Biobank. METHODS: For this cohort analysis, we included participants from UK Biobank who were registered in England and excluded individuals who died before Jan 31, 2020, (the start of the COVID-19 outbreak in the UK) or had withdrawn from UK Biobank. Participants diagnosed with a psychiatric disorder before Jan 31 were included in the group of individuals with pre-pandemic psychiatric disorders, whereas participants without a diagnosis before the outbreak were included in the group of individuals without pre-pandemic psychiatric disorders. We used the Public Health England dataset, UK Biobank hospital data, and death registers to collect data on COVID-19 cases. To examine the relationship between pre-pandemic psychiatric disorders and susceptibility to COVID-19, we used logistic regression models to estimate odds ratios (ORs), controlling for multiple confounders and somatic comorbidities. Key outcomes were all COVID-19, COVID-19 specifically diagnosed in inpatient care, and COVID-19-related deaths. ORs were also estimated separately for each psychiatric disorder and on the basis of the number of pre-pandemic psychiatric disorders. As a positive disease control, we repeated analyses for hospitalisation for other infections. FINDINGS: We included 421 014 UK Biobank participants in our study and assessed their COVID-19 status between Jan 31 and July 26, 2020. 50 809 participants were diagnosed with psychiatric disorders before the outbreak, while 370 205 participants had no psychiatric disorders. The mean age at outbreak was 67·80 years (SD 8·12). We observed an elevated risk of COVID-19 among individuals with pre-pandemic psychiatric disorders compared with that of individuals without such conditions. The fully adjusted ORs were 1·44 (95% CI 1·28–1·62) for All COVID-19 cases, 1·55 (1·34–1·78) for Inpatient COVID-19 cases, and 2·03 (1·59–2·59) for COVID-19-related deaths. We observed excess risk, defined as risk that increased with the number of pre-pandemic psychiatric disorders, across all diagnostic categories of pre-pandemic psychiatric disorders. We also observed an association between psychiatric disorders and elevated risk of hospitalisation due to other infections (OR 1·74, 95% CI 1·58–1·93). INTERPRETATION: Our findings suggest that pre-existing psychiatric disorders are associated with an increased risk of COVID-19. These findings underscore the need for surveillance of and care for populations with pre-existing psychiatric disorders during the COVID-19 pandemic. FUNDING: National Natural Science Foundation of China. |
format | Online Article Text |
id | pubmed-7832159 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78321592021-01-26 Pre-pandemic psychiatric disorders and risk of COVID-19: a UK Biobank cohort analysis Yang, Huazhen Chen, Wenwen Hu, Yao Chen, Yilong Zeng, Yu Sun, Yajing Ying, Zhiye He, Junhui Qu, Yuanyuan Lu, Donghao Fang, Fang Valdimarsdóttir, Unnur A Song, Huan Lancet Healthy Longev Articles BACKGROUND: Psychiatric morbidities have been associated with a risk of severe infections through compromised immunity, health behaviours, or both. However, data are scarce on the association between multiple types of pre-pandemic psychiatric disorders and COVID-19. We aimed to assess the association between pre-pandemic psychiatric disorders and the subsequent risk of COVID-19 using UK Biobank. METHODS: For this cohort analysis, we included participants from UK Biobank who were registered in England and excluded individuals who died before Jan 31, 2020, (the start of the COVID-19 outbreak in the UK) or had withdrawn from UK Biobank. Participants diagnosed with a psychiatric disorder before Jan 31 were included in the group of individuals with pre-pandemic psychiatric disorders, whereas participants without a diagnosis before the outbreak were included in the group of individuals without pre-pandemic psychiatric disorders. We used the Public Health England dataset, UK Biobank hospital data, and death registers to collect data on COVID-19 cases. To examine the relationship between pre-pandemic psychiatric disorders and susceptibility to COVID-19, we used logistic regression models to estimate odds ratios (ORs), controlling for multiple confounders and somatic comorbidities. Key outcomes were all COVID-19, COVID-19 specifically diagnosed in inpatient care, and COVID-19-related deaths. ORs were also estimated separately for each psychiatric disorder and on the basis of the number of pre-pandemic psychiatric disorders. As a positive disease control, we repeated analyses for hospitalisation for other infections. FINDINGS: We included 421 014 UK Biobank participants in our study and assessed their COVID-19 status between Jan 31 and July 26, 2020. 50 809 participants were diagnosed with psychiatric disorders before the outbreak, while 370 205 participants had no psychiatric disorders. The mean age at outbreak was 67·80 years (SD 8·12). We observed an elevated risk of COVID-19 among individuals with pre-pandemic psychiatric disorders compared with that of individuals without such conditions. The fully adjusted ORs were 1·44 (95% CI 1·28–1·62) for All COVID-19 cases, 1·55 (1·34–1·78) for Inpatient COVID-19 cases, and 2·03 (1·59–2·59) for COVID-19-related deaths. We observed excess risk, defined as risk that increased with the number of pre-pandemic psychiatric disorders, across all diagnostic categories of pre-pandemic psychiatric disorders. We also observed an association between psychiatric disorders and elevated risk of hospitalisation due to other infections (OR 1·74, 95% CI 1·58–1·93). INTERPRETATION: Our findings suggest that pre-existing psychiatric disorders are associated with an increased risk of COVID-19. These findings underscore the need for surveillance of and care for populations with pre-existing psychiatric disorders during the COVID-19 pandemic. FUNDING: National Natural Science Foundation of China. The Author(s). Published by Elsevier Ltd. 2020-11 2020-10-26 /pmc/articles/PMC7832159/ /pubmed/33521769 http://dx.doi.org/10.1016/S2666-7568(20)30013-1 Text en © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Articles Yang, Huazhen Chen, Wenwen Hu, Yao Chen, Yilong Zeng, Yu Sun, Yajing Ying, Zhiye He, Junhui Qu, Yuanyuan Lu, Donghao Fang, Fang Valdimarsdóttir, Unnur A Song, Huan Pre-pandemic psychiatric disorders and risk of COVID-19: a UK Biobank cohort analysis |
title | Pre-pandemic psychiatric disorders and risk of COVID-19: a UK Biobank cohort analysis |
title_full | Pre-pandemic psychiatric disorders and risk of COVID-19: a UK Biobank cohort analysis |
title_fullStr | Pre-pandemic psychiatric disorders and risk of COVID-19: a UK Biobank cohort analysis |
title_full_unstemmed | Pre-pandemic psychiatric disorders and risk of COVID-19: a UK Biobank cohort analysis |
title_short | Pre-pandemic psychiatric disorders and risk of COVID-19: a UK Biobank cohort analysis |
title_sort | pre-pandemic psychiatric disorders and risk of covid-19: a uk biobank cohort analysis |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7832159/ https://www.ncbi.nlm.nih.gov/pubmed/33521769 http://dx.doi.org/10.1016/S2666-7568(20)30013-1 |
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