Preexisting Autoimmunity Is Associated With Increased Severity of Coronavirus Disease 2019: A Retrospective Cohort Study Using Data From the National COVID Cohort Collaborative (N3C).

COVID-19 severity N3C retrospective analysis TNF inhibitors autoimmune disease immunosuppressants

Journal

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
ISSN: 1537-6591
Titre abrégé: Clin Infect Dis
Pays: United States
ID NLM: 9203213

Informations de publication

Date de publication:
18 09 2023
Historique:
received: 03 02 2023
pmc-release: 19 05 2024
medline: 20 9 2023
pubmed: 19 5 2023
entrez: 19 5 2023
Statut: ppublish

Résumé

Identifying individuals with a higher risk of developing severe coronavirus disease 2019 (COVID-19) outcomes will inform targeted and more intensive clinical monitoring and management. To date, there is mixed evidence regarding the impact of preexisting autoimmune disease (AID) diagnosis and/or immunosuppressant (IS) exposure on developing severe COVID-19 outcomes. A retrospective cohort of adults diagnosed with COVID-19 was created in the National COVID Cohort Collaborative enclave. Two outcomes, life-threatening disease and hospitalization, were evaluated by using logistic regression models with and without adjustment for demographics and comorbidities. Of the 2 453 799 adults diagnosed with COVID-19, 191 520 (7.81%) had a preexisting AID diagnosis and 278 095 (11.33%) had a preexisting IS exposure. Logistic regression models adjusted for demographics and comorbidities demonstrated that individuals with a preexisting AID (odds ratio [OR], 1.13; 95% confidence interval [CI]: 1.09-1.17; P < .001), IS exposure (OR, 1.27; 95% CI: 1.24-1.30; P < .001), or both (OR, 1.35; 95% CI: 1.29-1.40; P < .001) were more likely to have a life-threatening disease. These results were consistent when hospitalization was evaluated. A sensitivity analysis evaluating specific IS revealed that tumor necrosis factor inhibitors were protective against life-threatening disease (OR, 0.80; 95% CI: .66-.96; P = .017) and hospitalization (OR, 0.80; 95% CI: .73-.89; P < .001). Patients with preexisting AID, IS exposure, or both are more likely to have a life-threatening disease or hospitalization. These patients may thus require tailored monitoring and preventative measures to minimize negative consequences of COVID-19.

Sections du résumé

BACKGROUND
Identifying individuals with a higher risk of developing severe coronavirus disease 2019 (COVID-19) outcomes will inform targeted and more intensive clinical monitoring and management. To date, there is mixed evidence regarding the impact of preexisting autoimmune disease (AID) diagnosis and/or immunosuppressant (IS) exposure on developing severe COVID-19 outcomes.
METHODS
A retrospective cohort of adults diagnosed with COVID-19 was created in the National COVID Cohort Collaborative enclave. Two outcomes, life-threatening disease and hospitalization, were evaluated by using logistic regression models with and without adjustment for demographics and comorbidities.
RESULTS
Of the 2 453 799 adults diagnosed with COVID-19, 191 520 (7.81%) had a preexisting AID diagnosis and 278 095 (11.33%) had a preexisting IS exposure. Logistic regression models adjusted for demographics and comorbidities demonstrated that individuals with a preexisting AID (odds ratio [OR], 1.13; 95% confidence interval [CI]: 1.09-1.17; P < .001), IS exposure (OR, 1.27; 95% CI: 1.24-1.30; P < .001), or both (OR, 1.35; 95% CI: 1.29-1.40; P < .001) were more likely to have a life-threatening disease. These results were consistent when hospitalization was evaluated. A sensitivity analysis evaluating specific IS revealed that tumor necrosis factor inhibitors were protective against life-threatening disease (OR, 0.80; 95% CI: .66-.96; P = .017) and hospitalization (OR, 0.80; 95% CI: .73-.89; P < .001).
CONCLUSIONS
Patients with preexisting AID, IS exposure, or both are more likely to have a life-threatening disease or hospitalization. These patients may thus require tailored monitoring and preventative measures to minimize negative consequences of COVID-19.

Identifiants

pubmed: 37207367
pii: 7173310
doi: 10.1093/cid/ciad294
pmc: PMC10506777
doi:

Substances chimiques

Immunosuppressive Agents 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

816-826

Subventions

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Commentaires et corrections

Type : UpdateOf

Informations de copyright

Published by Oxford University Press on behalf of Infectious Diseases Society of America 2023.

Déclaration de conflit d'intérêts

Potential conflicts of interest. D. K. S. reports owning Pfizer stock. E. R. P. reports grants or contracts paid to their institution from NHLBI and PCORI; consulting fees from NCATS paid to author; and payment for lectures, presentations, speakers bureaus, manuscript writing, or educational events from Cincinnati Children's Hospital. All remaining authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed. Source code. The code for this study (DUR: RP-42D046) is located within the N3C Data Enclave and can be accessed upon request, provided the user already has access to the N3C. Authorship was determined using ICMJE recommendations.

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Auteurs

Arjun S Yadaw (AS)

National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA.

David K Sahner (DK)

National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA.

Hythem Sidky (H)

National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA.

Behdad Afzali (B)

Immunoregulation Section, Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA.

Nathan Hotaling (N)

National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA.

Emily R Pfaff (ER)

North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Ewy A Mathé (EA)

National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA.

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Classifications MeSH