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Risk of Severe COVID-19 Outcomes Among Patients with Immune-Mediated Inflammatory Diseases or Malignancies: A Retrospective Analysis of Real-World Data in the United States

INTRODUCTION: There are concerns that patients in an immunocompromised state may be at risk for increased coronavirus disease 2019 (COVID-19) severity. The aim of this study was to describe the characteristics of patients with COVID-19 and immune-mediated inflammatory diseases (IMIDs) or malignancie...

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Autores principales: Yue, Xiaomeng, Ye, Yizhou, Choi, Yookyung C., Zhang, Dongmu, Krueger, Whitney S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510569/
https://www.ncbi.nlm.nih.gov/pubmed/36153800
http://dx.doi.org/10.1007/s12325-022-02293-0
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author Yue, Xiaomeng
Ye, Yizhou
Choi, Yookyung C.
Zhang, Dongmu
Krueger, Whitney S.
author_facet Yue, Xiaomeng
Ye, Yizhou
Choi, Yookyung C.
Zhang, Dongmu
Krueger, Whitney S.
author_sort Yue, Xiaomeng
collection PubMed
description INTRODUCTION: There are concerns that patients in an immunocompromised state may be at risk for increased coronavirus disease 2019 (COVID-19) severity. The aim of this study was to describe the characteristics of patients with COVID-19 and immune-mediated inflammatory diseases (IMIDs) or malignancies and evaluate their risk of developing severe COVID-19. METHODS: Cases of COVID-19 (ICD-10 code U07.1 or U07.2, or positive polymerase chain reaction or antigen test) among patients with IMIDs or malignancies were identified in the US-based Optum(®) Electronic Health Records database between 1 February 2020 and 3 March 2021. Age- and sex-standardized risks of severe COVID-19 were calculated by condition of interest. The risks were further adjusted by multiple covariates, and 95% confidence intervals were estimated. RESULTS: A total of 499,772 patients with COVID-19 were identified (mean [SD] age, 46.9 [20.7] years; 57.0% female). Patients with hematologic cancers (adjusted risk ratio [aRR] 2.0, 1.8–2.1), solid tumors (aRR 1.1, 1.1–1.1), or rheumatoid arthritis (aRR 1.2, 1.1–1.3) had a significantly higher risk of severe COVID-19 compared to the general population of patients with COVID-19. Patients with systemic lupus erythematosus (aRR 1.1, 0.9–1.2), psoriasis (aRR 1.0, 0.7–1.2), ulcerative colitis (aRR 0.9, 0.8–1.1), Crohn’s disease (aRR 0.9, 0.7–1.0), or ankylosing spondylitis (aRR 0.8, 0.5–1.0) showed a comparable risk of severe COVID-19. Patients with atopic dermatitis (aRR 0.8, 0.7–0.9) or psoriatic arthritis (aRR 0.8, 0.6–1.0) showed a lower risk of severe COVID-19. CONCLUSIONS: The risk of developing severe COVID-19 varied between the studied IMIDs and malignancies. Patients with hematologic cancers, solid tumors, or rheumatoid arthritis had significantly increased risk for severe COVID-19 compared to the general population. These findings highlight the need to protect and monitor immunocompromised patients such as those with IMIDs or malignancies as part of the strategy to control the pandemic worldwide. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12325-022-02293-0.
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spelling pubmed-95105692022-09-26 Risk of Severe COVID-19 Outcomes Among Patients with Immune-Mediated Inflammatory Diseases or Malignancies: A Retrospective Analysis of Real-World Data in the United States Yue, Xiaomeng Ye, Yizhou Choi, Yookyung C. Zhang, Dongmu Krueger, Whitney S. Adv Ther Original Research INTRODUCTION: There are concerns that patients in an immunocompromised state may be at risk for increased coronavirus disease 2019 (COVID-19) severity. The aim of this study was to describe the characteristics of patients with COVID-19 and immune-mediated inflammatory diseases (IMIDs) or malignancies and evaluate their risk of developing severe COVID-19. METHODS: Cases of COVID-19 (ICD-10 code U07.1 or U07.2, or positive polymerase chain reaction or antigen test) among patients with IMIDs or malignancies were identified in the US-based Optum(®) Electronic Health Records database between 1 February 2020 and 3 March 2021. Age- and sex-standardized risks of severe COVID-19 were calculated by condition of interest. The risks were further adjusted by multiple covariates, and 95% confidence intervals were estimated. RESULTS: A total of 499,772 patients with COVID-19 were identified (mean [SD] age, 46.9 [20.7] years; 57.0% female). Patients with hematologic cancers (adjusted risk ratio [aRR] 2.0, 1.8–2.1), solid tumors (aRR 1.1, 1.1–1.1), or rheumatoid arthritis (aRR 1.2, 1.1–1.3) had a significantly higher risk of severe COVID-19 compared to the general population of patients with COVID-19. Patients with systemic lupus erythematosus (aRR 1.1, 0.9–1.2), psoriasis (aRR 1.0, 0.7–1.2), ulcerative colitis (aRR 0.9, 0.8–1.1), Crohn’s disease (aRR 0.9, 0.7–1.0), or ankylosing spondylitis (aRR 0.8, 0.5–1.0) showed a comparable risk of severe COVID-19. Patients with atopic dermatitis (aRR 0.8, 0.7–0.9) or psoriatic arthritis (aRR 0.8, 0.6–1.0) showed a lower risk of severe COVID-19. CONCLUSIONS: The risk of developing severe COVID-19 varied between the studied IMIDs and malignancies. Patients with hematologic cancers, solid tumors, or rheumatoid arthritis had significantly increased risk for severe COVID-19 compared to the general population. These findings highlight the need to protect and monitor immunocompromised patients such as those with IMIDs or malignancies as part of the strategy to control the pandemic worldwide. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12325-022-02293-0. Springer Healthcare 2022-09-25 2022 /pmc/articles/PMC9510569/ /pubmed/36153800 http://dx.doi.org/10.1007/s12325-022-02293-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis 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
Yue, Xiaomeng
Ye, Yizhou
Choi, Yookyung C.
Zhang, Dongmu
Krueger, Whitney S.
Risk of Severe COVID-19 Outcomes Among Patients with Immune-Mediated Inflammatory Diseases or Malignancies: A Retrospective Analysis of Real-World Data in the United States
title Risk of Severe COVID-19 Outcomes Among Patients with Immune-Mediated Inflammatory Diseases or Malignancies: A Retrospective Analysis of Real-World Data in the United States
title_full Risk of Severe COVID-19 Outcomes Among Patients with Immune-Mediated Inflammatory Diseases or Malignancies: A Retrospective Analysis of Real-World Data in the United States
title_fullStr Risk of Severe COVID-19 Outcomes Among Patients with Immune-Mediated Inflammatory Diseases or Malignancies: A Retrospective Analysis of Real-World Data in the United States
title_full_unstemmed Risk of Severe COVID-19 Outcomes Among Patients with Immune-Mediated Inflammatory Diseases or Malignancies: A Retrospective Analysis of Real-World Data in the United States
title_short Risk of Severe COVID-19 Outcomes Among Patients with Immune-Mediated Inflammatory Diseases or Malignancies: A Retrospective Analysis of Real-World Data in the United States
title_sort risk of severe covid-19 outcomes among patients with immune-mediated inflammatory diseases or malignancies: a retrospective analysis of real-world data in the united states
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510569/
https://www.ncbi.nlm.nih.gov/pubmed/36153800
http://dx.doi.org/10.1007/s12325-022-02293-0
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