한빛사논문
- 조회437
Min Seo Kim 1,*, Hayeon Lee 2,†,* , Seung Won Lee 3*, Rosie Kwon 4, Sang Youl Rhee 5, Jin A Lee 6, Ai Koyanagi 7, Lee Smith 8, Guillaume Fond 9, Laurent Boyer 9, Jinseok Lee 6*, Masoud Rahmati 10, Ju-Young Shin 11, Chanyang Min 4, Jae Il Shin 12*, Dong Keon Yon 13†
1Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts (M.S.K.).
2Department of Biomedical Engineering, Kyung Hee University, Yongin, South Korea, and Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea (H.L.).
3Department of Precision Medicine, Sungkyunkwan University School of Medicine, Suwon, South Korea (S.W.L.).
4Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea (R.K., C.M.).
5Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, and Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, South Korea (S.Y.R.).
6Department of Biomedical Engineering, Kyung Hee University, Yongin, South Korea (J.A.L., J.L.).
7Research and Development Unit, Parc Sanitari Sant Joan de Deu, Barcelona, Spain (A.K.).
8Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, United Kingdom (L.S.).
9Research Centre on Health Services and Quality of Life, Assistance Publique-Hôpitaux de Marseille, Aix Marseille University, Marseille, France (G.F., L.B.).
10Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khorramabad, Iran, and Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran (M.R.).
11School of Pharmacy, Sungkyunkwan University, Suwon, South Korea (J.-Y.S.).
12Department of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea (J.I.S.).
13Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine; Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine; and Department of Regulatory Science, Kyung Hee University, Seoul, South Korea (D.K.Y.).
* Drs. Kim, Seung Won Lee, Jinseok Lee, and Jae Il Shin contributed equally to this work.
† Drs. Hayeon Lee and Yon contributed equally to this work. Dr. Yon is the senior author.
Abstract
Background: Some data suggest a higher incidence of diagnosis of autoimmune inflammatory rheumatic diseases (AIRDs) among patients with a history of COVID-19 compared with uninfected patients. However, these studies had methodological shortcomings.
Objective: To investigate the effect of COVID-19 on long-term risk for incident AIRD over various follow-up periods.
Design: Binational, longitudinal, propensity-matched cohort study.
Setting: Nationwide claims-based databases in South Korea (K-COV-N cohort) and Japan (JMDC cohort).
Participants: 10 027 506 Korean and 12 218 680 Japanese patients aged 20 years or older, including those with COVID-19 between 1 January 2020 and 31 December 2021, matched to patients with influenza infection and to uninfected control patients.
Measurements: The primary outcome was onset of AIRD (per appropriate codes from the International Classification of Diseases, 10th Revision) 1, 6, and 12 months after COVID-19 or influenza infection or the respective matched index date of uninfected control patients.
Results: Between 2020 and 2021, among the 10 027 506 Korean participants (mean age, 48.4 years [SD, 13.4]; 50.1% men), 394 274 (3.9%) and 98 596 (0.98%) had a history of COVID-19 or influenza, respectively. After propensity score matching, beyond the first 30 days after infection, patients with COVID-19 were at increased risk for incident AIRD compared with uninfected patients (adjusted hazard ratio, 1.25 [95% CI, 1.18 to 1.31]) and influenza-infected control patients (adjusted hazard ratio, 1.30 [CI, 1.02 to 1.59]). The risk for incident AIRD was higher with more severe acute COVID-19. Similar patterns were observed in the Japanese cohort.
Limitations: Referral bias due to the pandemic; residual confounding.
Conclusion: SARS-CoV-2 infection was associated with increased risk for incident AIRD compared with matched patients without SARS-CoV-2 infection or with influenza infection. The risk for incident AIRD was higher with greater severity of acute COVID-19.
논문정보
- Research article
- 2024년 03월 (BRIC 등록일 2024-03-05)
- 국내(교신)+국외 연구진
- 의약학 > 감염의학
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