Abstract

As mounting evidence suggests a higher incidence of adverse consequences, such as disruption of the immune system, among patients with a history of COVID-19, we aimed to investigate post-COVID-19 conditions on a comprehensive set of allergic diseases including asthma, allergic rhinitis, atopic dermatitis, and food allergy. We used nationwide claims-based cohorts in South Korea (K-CoV-N; n = 836,164; main cohort) and Japan (JMDC; n = 2,541,021; replication cohort A) and the UK Biobank cohort (UKB; n = 325,843; replication cohort B) after 1:5 propensity score matching. Among the 836,164 individuals in the main cohort (mean age, 50.25 years [SD, 13.86]; 372,914 [44.6%] women), 147,824 were infected with SARS-CoV-2 during the follow-up period (2020−2021). The risk of developing allergic diseases, beyond the first 30 days of diagnosis of COVID-19, significantly increased (HR, 1.20; 95% CI, 1.13−1.27), notably in asthma (HR, 2.25; 95% CI, 1.80−2.83) and allergic rhinitis (HR, 1.23; 95% CI, 1.15−1.32). This risk gradually decreased over time, but it persisted throughout the follow-up period (≥6 months). In addition, the risk increased with increasing severity of COVID-19. Notably, COVID-19 vaccination of at least two doses had a protective effect against subsequent allergic diseases (HR, 0.81; 95% CI, 0.68−0.96). Similar findings were reported in the replication cohorts A and B. Although the potential for misclassification of pre-existing allergic conditions as incident diseases remains a limitation, ethnic diversity for evidence of incident allergic diseases in post-COVID-19 condition has been validated by utilizing multinational and independent population-based cohorts.

SARS-CoV-2 infection has been linked to various persistent or new-onset health consequences, including disruption of the immune system. Here, the authors investigate the risk of new-onset allergic diseases following SARS-CoV-2 infection using data from South Korea, Japan, and the UK.

Details

Title
Incident allergic diseases in post-COVID-19 condition: multinational cohort studies from South Korea, Japan and the UK
Author
Oh, Jiyeon 1 ; Lee, Myeongcheol 2 ; Kim, Minji 2   VIAFID ORCID Logo  ; Kim, Hyeon Jin 2 ; Lee, Seung Won 3   VIAFID ORCID Logo  ; Rhee, Sang Youl 4   VIAFID ORCID Logo  ; Koyanagi, Ai 5 ; Smith, Lee 6 ; Kim, Min Seo 7   VIAFID ORCID Logo  ; Lee, Hayeon 8   VIAFID ORCID Logo  ; Lee, Jinseok 9   VIAFID ORCID Logo  ; Yon, Dong Keon 10   VIAFID ORCID Logo 

 Kyung Hee University College of Medicine, Department of Medicine, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818) 
 Kyung Hee University College of Medicine, Center for Digital Health, Medical Science Research Institute, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818); Kyung Hee University, Department of Regulatory Science, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818) 
 Sungkyunkwan University School of Medicine, Department of Precision Medicine, Suwon, South Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X) 
 Kyung Hee University College of Medicine, Center for Digital Health, Medical Science Research Institute, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818); Kyung Hee University School of Medicine, Department of Endocrinology and Metabolism, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818) 
 Parc Sanitari Sant Joan de Deu, Research and Development Unit, Barcelona, Spain (GRID:grid.466982.7) (ISNI:0000 0004 1771 0789) 
 Anglia Ruskin University, Centre for Health, Performance and Wellbeing, Cambridge, UK (GRID:grid.5115.0) (ISNI:0000 0001 2299 5510) 
 Broad Institute of MIT and Harvard, Medical and Population Genetics and Cardiovascular Disease Initiative, Cambridge, USA (GRID:grid.66859.34) (ISNI:0000 0004 0546 1623) 
 Kyung Hee University College of Medicine, Center for Digital Health, Medical Science Research Institute, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818); Kyung Hee University, Department of Biomedical Engineering, Yongin, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818) 
 Kyung Hee University, Department of Biomedical Engineering, Yongin, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818); Kyung Hee University, Department of Electronics and Information Convergence Engineering, Yongin, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818) 
10  Kyung Hee University College of Medicine, Department of Medicine, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818); Kyung Hee University College of Medicine, Center for Digital Health, Medical Science Research Institute, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818); Kyung Hee University, Department of Regulatory Science, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818); Kyung Hee University College of Medicine, Department of Pediatrics, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818) 
Pages
2830
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3030960710
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.