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Risk of autoimmune diseases in patients with COVID-19: A retrospective cohort study
BACKGROUND: There are a growing number of case reports of various autoimmune diseases occurring after COVID-19, yet there is no large-scale population-based evidence to support this potential association. This study provides a closer insight into the association between COVID-19 and autoimmune disea...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830133/ https://www.ncbi.nlm.nih.gov/pubmed/36643619 http://dx.doi.org/10.1016/j.eclinm.2022.101783 |
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author | Chang, Renin Yen-Ting Chen, Thomas Wang, Shiow-Ing Hung, Yao-Min Chen, Hui-Yuan Wei, Cheng-Chung James |
author_facet | Chang, Renin Yen-Ting Chen, Thomas Wang, Shiow-Ing Hung, Yao-Min Chen, Hui-Yuan Wei, Cheng-Chung James |
author_sort | Chang, Renin |
collection | PubMed |
description | BACKGROUND: There are a growing number of case reports of various autoimmune diseases occurring after COVID-19, yet there is no large-scale population-based evidence to support this potential association. This study provides a closer insight into the association between COVID-19 and autoimmune diseases and reveals discrepancies across sex, age, and race of participants. METHODS: This is a retrospective cohort study based on the TriNetX U.S. Collaborative Network. In the test-negative design, cases were participants with positive polymerase chain reaction (PCR) test results for SARS-CoV-2, while controls were participants who tested negative and were not diagnosed with COVID-19 throughout the follow-up period. Patients with COVID-19 and controls were propensity score-matched (1: 1) for age, sex, race, adverse socioeconomic status, lifestyle-related variables, and comorbidities. The primary endpoint is the incidence of newly recorded autoimmune diseases. Adjusted hazard ratios (aHRs) and 95% confident intervals (CIs) of autoimmune diseases were calculated between propensity score-matched groups with the use of Cox proportional-hazards regression models. FINDINGS: Between January 1st, 2020 and December 31st, 2021, 3,814,479 participants were included in the study (888,463 cases and 2,926,016 controls). After matching, the COVID-19 cohort exhibited significantly higher risks of rheumatoid arthritis (aHR:2.98, 95% CI:2.78–3.20), ankylosing spondylitis (aHR:3.21, 95% CI:2.50–4.13), systemic lupus erythematosus (aHR:2.99, 95% CI:2.68–3.34), dermatopolymyositis (aHR:1.96, 95% CI:1.47–2.61), systemic sclerosis (aHR:2.58, 95% CI:2.02–3.28), Sjögren's syndrome (aHR:2.62, 95% CI:2.29–3.00), mixed connective tissue disease (aHR:3.14, 95% CI:2.26–4.36), Behçet's disease (aHR:2.32, 95% CI:1.38–3.89), polymyalgia rheumatica (aHR:2.90, 95% CI:2.36–3.57), vasculitis (aHR:1.96, 95% CI:1.74–2.20), psoriasis (aHR:2.91, 95% CI:2.67–3.17), inflammatory bowel disease (aHR:1.78, 95%CI:1.72–1.84), celiac disease (aHR:2.68, 95% CI:2.51–2.85), type 1 diabetes mellitus (aHR:2.68, 95%CI:2.51–2.85) and mortality (aHR:1.20, 95% CI:1.16–1.24). INTERPRETATION: COVID-19 is associated with a different degree of risk for various autoimmune diseases. Given the large sample size and relatively modest effects these findings should be replicated in an independent dataset. Further research is needed to better understand the underlying mechanisms. FUNDING: 10.13039/501100011913Kaohsiung Veterans General Hospital (KSVGH111-113). |
format | Online Article Text |
id | pubmed-9830133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98301332023-01-10 Risk of autoimmune diseases in patients with COVID-19: A retrospective cohort study Chang, Renin Yen-Ting Chen, Thomas Wang, Shiow-Ing Hung, Yao-Min Chen, Hui-Yuan Wei, Cheng-Chung James eClinicalMedicine Articles BACKGROUND: There are a growing number of case reports of various autoimmune diseases occurring after COVID-19, yet there is no large-scale population-based evidence to support this potential association. This study provides a closer insight into the association between COVID-19 and autoimmune diseases and reveals discrepancies across sex, age, and race of participants. METHODS: This is a retrospective cohort study based on the TriNetX U.S. Collaborative Network. In the test-negative design, cases were participants with positive polymerase chain reaction (PCR) test results for SARS-CoV-2, while controls were participants who tested negative and were not diagnosed with COVID-19 throughout the follow-up period. Patients with COVID-19 and controls were propensity score-matched (1: 1) for age, sex, race, adverse socioeconomic status, lifestyle-related variables, and comorbidities. The primary endpoint is the incidence of newly recorded autoimmune diseases. Adjusted hazard ratios (aHRs) and 95% confident intervals (CIs) of autoimmune diseases were calculated between propensity score-matched groups with the use of Cox proportional-hazards regression models. FINDINGS: Between January 1st, 2020 and December 31st, 2021, 3,814,479 participants were included in the study (888,463 cases and 2,926,016 controls). After matching, the COVID-19 cohort exhibited significantly higher risks of rheumatoid arthritis (aHR:2.98, 95% CI:2.78–3.20), ankylosing spondylitis (aHR:3.21, 95% CI:2.50–4.13), systemic lupus erythematosus (aHR:2.99, 95% CI:2.68–3.34), dermatopolymyositis (aHR:1.96, 95% CI:1.47–2.61), systemic sclerosis (aHR:2.58, 95% CI:2.02–3.28), Sjögren's syndrome (aHR:2.62, 95% CI:2.29–3.00), mixed connective tissue disease (aHR:3.14, 95% CI:2.26–4.36), Behçet's disease (aHR:2.32, 95% CI:1.38–3.89), polymyalgia rheumatica (aHR:2.90, 95% CI:2.36–3.57), vasculitis (aHR:1.96, 95% CI:1.74–2.20), psoriasis (aHR:2.91, 95% CI:2.67–3.17), inflammatory bowel disease (aHR:1.78, 95%CI:1.72–1.84), celiac disease (aHR:2.68, 95% CI:2.51–2.85), type 1 diabetes mellitus (aHR:2.68, 95%CI:2.51–2.85) and mortality (aHR:1.20, 95% CI:1.16–1.24). INTERPRETATION: COVID-19 is associated with a different degree of risk for various autoimmune diseases. Given the large sample size and relatively modest effects these findings should be replicated in an independent dataset. Further research is needed to better understand the underlying mechanisms. FUNDING: 10.13039/501100011913Kaohsiung Veterans General Hospital (KSVGH111-113). Elsevier 2023-01-10 /pmc/articles/PMC9830133/ /pubmed/36643619 http://dx.doi.org/10.1016/j.eclinm.2022.101783 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Articles Chang, Renin Yen-Ting Chen, Thomas Wang, Shiow-Ing Hung, Yao-Min Chen, Hui-Yuan Wei, Cheng-Chung James Risk of autoimmune diseases in patients with COVID-19: A retrospective cohort study |
title | Risk of autoimmune diseases in patients with COVID-19: A retrospective cohort study |
title_full | Risk of autoimmune diseases in patients with COVID-19: A retrospective cohort study |
title_fullStr | Risk of autoimmune diseases in patients with COVID-19: A retrospective cohort study |
title_full_unstemmed | Risk of autoimmune diseases in patients with COVID-19: A retrospective cohort study |
title_short | Risk of autoimmune diseases in patients with COVID-19: A retrospective cohort study |
title_sort | risk of autoimmune diseases in patients with covid-19: a retrospective cohort study |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830133/ https://www.ncbi.nlm.nih.gov/pubmed/36643619 http://dx.doi.org/10.1016/j.eclinm.2022.101783 |
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