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Factors Associated with Severe COVID-19 Among Patients with Rheumatoid Arthritis: A Large, Nationwide Electronic Health Record Cohort Study in the United States
INTRODUCTION: To evaluate factors associated with severe coronavirus disease 2019 (COVID-19) among patients with rheumatoid arthritis (RA) in the US. METHODS: Adults with RA who had a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, based on molecular or antigen test or clinic...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427536/ https://www.ncbi.nlm.nih.gov/pubmed/37338653 http://dx.doi.org/10.1007/s12325-023-02533-x |
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author | Ye, Yizhou Yue, Xiaomeng Krueger, Whitney S. Wegrzyn, Lani R. Maniccia, Anna W. Winthrop, Kevin L. Kim, Seoyoung C. |
author_facet | Ye, Yizhou Yue, Xiaomeng Krueger, Whitney S. Wegrzyn, Lani R. Maniccia, Anna W. Winthrop, Kevin L. Kim, Seoyoung C. |
author_sort | Ye, Yizhou |
collection | PubMed |
description | INTRODUCTION: To evaluate factors associated with severe coronavirus disease 2019 (COVID-19) among patients with rheumatoid arthritis (RA) in the US. METHODS: Adults with RA who had a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, based on molecular or antigen test or clinical diagnosis, were identified from the Optum(®) COVID-19 Electronic Health Record dataset (March 1, 2020–April 28, 2021). The primary outcome was the occurrence of severe COVID-19 (hospitalization or death) within 30 days from SARS-CoV-2 infection. Adjusted odds ratios (aOR) and 95% confidence intervals (CI) were estimated using multivariable logistic regression models to assess the association between severe COVID-19 and patient characteristics, including demographics, baseline comorbidities, and recent RA treatments. RESULTS: During the study period, 6769 SARS-CoV-2 infections were identified in patients with RA, among whom 1460 (22%) developed severe COVID-19. Multivariable logistic regression analysis showed that being older, male, and non-White and having diabetes and cardiovascular conditions are associated with greater odds of severe COVID-19. In addition, compared with no use, the adjusted odds of severe COVID-19 were lower with recent use of tumor necrosis factor inhibitors (aOR 0.60, 95% CI 0.41–0.86) and higher with recent use of corticosteroids (aOR 1.38, 95% CI 1.13–1.69) or rituximab (aOR 2.87, 95% CI 1.60–5.14), respectively. CONCLUSION: Nearly one in five patients with RA developed severe COVID-19 disease within 30 days after SARS-CoV-2 infection. In patients with RA, recent use of corticosteroids and rituximab were two factors associated with a greater risk of severe COVID-19 in addition to the risk factors among demographics and comorbidities previously identified in the general population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12325-023-02533-x. |
format | Online Article Text |
id | pubmed-10427536 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-104275362023-08-17 Factors Associated with Severe COVID-19 Among Patients with Rheumatoid Arthritis: A Large, Nationwide Electronic Health Record Cohort Study in the United States Ye, Yizhou Yue, Xiaomeng Krueger, Whitney S. Wegrzyn, Lani R. Maniccia, Anna W. Winthrop, Kevin L. Kim, Seoyoung C. Adv Ther Original Research INTRODUCTION: To evaluate factors associated with severe coronavirus disease 2019 (COVID-19) among patients with rheumatoid arthritis (RA) in the US. METHODS: Adults with RA who had a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, based on molecular or antigen test or clinical diagnosis, were identified from the Optum(®) COVID-19 Electronic Health Record dataset (March 1, 2020–April 28, 2021). The primary outcome was the occurrence of severe COVID-19 (hospitalization or death) within 30 days from SARS-CoV-2 infection. Adjusted odds ratios (aOR) and 95% confidence intervals (CI) were estimated using multivariable logistic regression models to assess the association between severe COVID-19 and patient characteristics, including demographics, baseline comorbidities, and recent RA treatments. RESULTS: During the study period, 6769 SARS-CoV-2 infections were identified in patients with RA, among whom 1460 (22%) developed severe COVID-19. Multivariable logistic regression analysis showed that being older, male, and non-White and having diabetes and cardiovascular conditions are associated with greater odds of severe COVID-19. In addition, compared with no use, the adjusted odds of severe COVID-19 were lower with recent use of tumor necrosis factor inhibitors (aOR 0.60, 95% CI 0.41–0.86) and higher with recent use of corticosteroids (aOR 1.38, 95% CI 1.13–1.69) or rituximab (aOR 2.87, 95% CI 1.60–5.14), respectively. CONCLUSION: Nearly one in five patients with RA developed severe COVID-19 disease within 30 days after SARS-CoV-2 infection. In patients with RA, recent use of corticosteroids and rituximab were two factors associated with a greater risk of severe COVID-19 in addition to the risk factors among demographics and comorbidities previously identified in the general population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12325-023-02533-x. Springer Healthcare 2023-06-20 2023 /pmc/articles/PMC10427536/ /pubmed/37338653 http://dx.doi.org/10.1007/s12325-023-02533-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Ye, Yizhou Yue, Xiaomeng Krueger, Whitney S. Wegrzyn, Lani R. Maniccia, Anna W. Winthrop, Kevin L. Kim, Seoyoung C. Factors Associated with Severe COVID-19 Among Patients with Rheumatoid Arthritis: A Large, Nationwide Electronic Health Record Cohort Study in the United States |
title | Factors Associated with Severe COVID-19 Among Patients with Rheumatoid Arthritis: A Large, Nationwide Electronic Health Record Cohort Study in the United States |
title_full | Factors Associated with Severe COVID-19 Among Patients with Rheumatoid Arthritis: A Large, Nationwide Electronic Health Record Cohort Study in the United States |
title_fullStr | Factors Associated with Severe COVID-19 Among Patients with Rheumatoid Arthritis: A Large, Nationwide Electronic Health Record Cohort Study in the United States |
title_full_unstemmed | Factors Associated with Severe COVID-19 Among Patients with Rheumatoid Arthritis: A Large, Nationwide Electronic Health Record Cohort Study in the United States |
title_short | Factors Associated with Severe COVID-19 Among Patients with Rheumatoid Arthritis: A Large, Nationwide Electronic Health Record Cohort Study in the United States |
title_sort | factors associated with severe covid-19 among patients with rheumatoid arthritis: a large, nationwide electronic health record cohort study in the united states |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427536/ https://www.ncbi.nlm.nih.gov/pubmed/37338653 http://dx.doi.org/10.1007/s12325-023-02533-x |
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