Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Jul;80(7):930-942.
doi: 10.1136/annrheumdis-2020-219498. Epub 2021 Jan 27.

Factors associated with COVID-19-related death in people with rheumatic diseases: results from the COVID-19 Global Rheumatology Alliance physician-reported registry

Collaborators, Affiliations

Factors associated with COVID-19-related death in people with rheumatic diseases: results from the COVID-19 Global Rheumatology Alliance physician-reported registry

Anja Strangfeld et al. Ann Rheum Dis. 2021 Jul.

Abstract

Objectives: To determine factors associated with COVID-19-related death in people with rheumatic diseases.

Methods: Physician-reported registry of adults with rheumatic disease and confirmed or presumptive COVID-19 (from 24 March to 1 July 2020). The primary outcome was COVID-19-related death. Age, sex, smoking status, comorbidities, rheumatic disease diagnosis, disease activity and medications were included as covariates in multivariable logistic regression models. Analyses were further stratified according to rheumatic disease category.

Results: Of 3729 patients (mean age 57 years, 68% female), 390 (10.5%) died. Independent factors associated with COVID-19-related death were age (66-75 years: OR 3.00, 95% CI 2.13 to 4.22; >75 years: 6.18, 4.47 to 8.53; both vs ≤65 years), male sex (1.46, 1.11 to 1.91), hypertension combined with cardiovascular disease (1.89, 1.31 to 2.73), chronic lung disease (1.68, 1.26 to 2.25) and prednisolone-equivalent dosage >10 mg/day (1.69, 1.18 to 2.41; vs no glucocorticoid intake). Moderate/high disease activity (vs remission/low disease activity) was associated with higher odds of death (1.87, 1.27 to 2.77). Rituximab (4.04, 2.32 to 7.03), sulfasalazine (3.60, 1.66 to 7.78), immunosuppressants (azathioprine, cyclophosphamide, ciclosporin, mycophenolate or tacrolimus: 2.22, 1.43 to 3.46) and not receiving any disease-modifying anti-rheumatic drug (DMARD) (2.11, 1.48 to 3.01) were associated with higher odds of death, compared with methotrexate monotherapy. Other synthetic/biological DMARDs were not associated with COVID-19-related death.

Conclusion: Among people with rheumatic disease, COVID-19-related death was associated with known general factors (older age, male sex and specific comorbidities) and disease-specific factors (disease activity and specific medications). The association with moderate/high disease activity highlights the importance of adequate disease control with DMARDs, preferably without increasing glucocorticoid dosages. Caution may be required with rituximab, sulfasalazine and some immunosuppressants.

Keywords: antirheumatic agents; autoimmune diseases; epidemiology; glucocorticoids; health care; outcome assessment.

PubMed Disclaimer

Conflict of interest statement

Competing interests: AS reports personal fees from lectures for AbbVie, MSD, Roche, BMS and Pfizer, all outside the submitted work. MG reports grants from National Institutes of Health, NIAMS, outside the submitted work. JL reports a research grant from Pfizer, outside of the submitted work. EFM reports that LPCDR received support for specific activities: grants from Abbvie, Novartis, Janssen-Cilag, Lilly Portugal, Sanofi, Grünenthal S.A., MSD, Celgene, Medac, Pharmakern and GAfPA; grants and non-financial support from Pfizer; non-financial support from Grünenthal GmbH, outside the submitted work. CR has received consulting/speaker’s fees from Abbvie, Amgen, AstraZeneca, BMS, Biogen, Eli Lilly, Glenmark, GSK, MSD, Mylan and Pfizer, and grants from Biogen, Lilly and Nordic Pharma, all unrelated to this manuscript. MJS is supported by unrestricted grants from AbbVie, Biogen, Gilead, Lilly, MSD, Novartis and Pfizer. Her work is supported by grants from the National Institutes of Health and Agency for Healthcare Research and Quality. She leads the Data Analytic Center for the American College of Rheumatology, which is unrelated to this work. ES reports non-financial support from Canadian Arthritis Patient Alliance, outside the submitted work. JS is supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases (grant numbers K23 AR069688, R03 AR075886, L30 AR066953, P30 AR070253 and P30 AR072577), the Rheumatology Research Foundation (R Bridge Award), the Brigham Research Institute, and the R. Bruce and Joan M. Mickey Research Scholar Fund. He has received research support from Amgen and Bristol-Myers Squibb and performed consultancy for Bristol-Myers Squibb, Gilead, Inova Diagnostics, Janssen, Optum and Pfizer unrelated to this work. PS reports personal fees from American College of Rheumatology/Wiley Publishing, outside the submitted work. TT reports personal fees for lectures and expertises from Amgen, Arrow, Biogen, BMS, Chugai, Expanscience, Gilead, Grunenthal, LCA, Lilly, Medac, MSD, Nordic, Novartis, Pfizer, Sandoz, Sanofi, Theramex, Thuasne, TEVA and UCB, and reports financial support or fees for research activities from Amgen, Bone Therapeutics, Chugai, MSD, Novartis, Pfizer and UCB, all unrelated to this manuscript. ZSW reports grant support from Bristol-Myers Squibb and consulting fees from Viela Bio. JB-C has received consulting/speaker’s fees from Abbvie, MSD, BMS and Roche, and grants from Pfizer, all unrelated to this manuscript. He reports non-branded marketing campaigns for Novartis. PC has received consulting and lecturing fees from Abbvie, AstraZeneca, Bristol-Myers Squibb, Gilead, Glaxo Smith Kline, Innotech, Janssen, Merck Sharp Dohme, Roche, Servier and Vifor. LC has not received fees or personal grants from any laboratory, but her institute works by contract for laboratories among other institutions, such as Abbvie Spain, Eisai, Gebro Pharma, Merck Sharp & Dohme España, S.A., Novartis Farmaceutica, Pfizer, Roche Farma, Sanofi Aventis, Astellas Pharma, Actelion Pharmaceuticals España, Grünenthal GmbH and UCB Pharma. LG reports personal consultant fees from AbbVie, Amgen, BMS, Biogen, Celgene, Gilead, Janssen, Lilly, Novartis, Pfizer, Samsung Bioepis, Sanofi-Aventis and UCB, and grants from Amgen, Lilly, Janssen, Pfizer, Sandoz, Sanofi and Galapagos, all unrelated to this manuscript. RG reports non-financial support from Pfizer Australia, personal fees from Pfizer Australia, personal fees from Cornerstones, personal fees from Janssen New Zealand, non-financial support from Janssen Australia, personal fees from Novartis, outside the submitted work. EH reports personal consultant fees from Actelion, Sanofi-Genzyme and GSK, and grants from GSK, all unrelated to this manuscript. RH reports research grant from Pfizer and personal fees from AbbVie, Pfizer, Novartis, Amgen, Mylan, Gilead, Medac and Takeda, all outside the submitted work. JH reports grants from Rheumatology Research Foundation, grants from Childhood Arthritis and Rheumatology Research Alliance (CARRA), personal fees from Novartis, outside the submitted work. KLH reports she has received non-personal speaker’s fees from Abbvie and grant income from BMS, UCB and Pfizer, all unrelated to this manuscript. KLH is supported by the NIHR Manchester Biomedical Research Centre. PCR reports personal fees from Abbvie, Eli Lilly, Gilead, Janssen, Novartis, Pfizer, Roche and UCB, non-financial support from BMS, research funding from Janssen, Novartis, Pfizer and UCB, all outside the submitted work. JY reports consulting fees from AstraZeneca and Eli Lilly, and grants from Pfizer, outside the submitted work. PMM has received consulting/speaker’s fees from Abbvie, BMS, Celgene, Eli Lilly, Janssen, MSD, Novartis, Orphazyme, Pfizer, Roche and UCB, all unrelated to this manuscript, and is supported by the National Institute for Health Research (NIHR), University College London Hospitals (UCLH) and Biomedical Research Centre (BRC).

Figures

Figure 1
Figure 1
Disease and medication groups. ANCA, anti-neutrophil cytoplasm antibodies; DMARD, disease-modifying antirheumatic drugs; IgG, immunoglobulin; IL, interleukin; JAK, Janus kinase; TNF, tumour necrosis factor.
Figure 2
Figure 2
Patient flowchart. Some patients had diagnoses in multiple groups; as a result, the sum of patients in each group is greater than the total number of patients. (*) Patients belonging to more than one diagnosic group: IJD and CTD: N=78 (10 deaths); IJD and other: N=70 (12 deaths); CTD and other: N=50 (13 deaths); IJD and CTD and other: N=5 (2 deaths). (§) Patients belonging to more than one diagnosic group: IJD and CTD: N=77 (10 deaths); IJD and other: N=70 (12 deaths); CTD and other: N=49 (12 deaths); IJD and CTD and other: N=5 (2 deaths). (#) Patients belonging to more than one diagnosic group: IJD and CTD: N=59 (7 deaths). (**) Non-typical DMARDs for IJD and RA: immunosuppressants and belimumab; non-typical DMARDs for RA: IL-17/IL-23/IL-12+23 inhibitors. (***) Non-typical DMARDs for CTD: abatacept, IL-17/IL-23/IL-12+23 inhibitors, sulfasalazine, leflunomide and tsDMARDs. b/tsDMARDs, biological/targeted synthetic disease-modifying antirheumatic drugs; CTD, connective tissue disease/vasculitis; DMARDs, disease-modifying anti-rheumatic drugs; IJD, inflammatory joint disease; IL, interleukin; RA, rheumatoid arthritis.
Figure 3
Figure 3
Results of the main logistic regression analysis. Shown are multivariable-adjusted ORs for the outcome COVID-19-related death with 95% CIs, assessing the association with (A) general patient characteristics, (B) comorbidities, (C) rheumatic disease diagnoses (RMD) and (D) rheumatic disease medications. ORs are shown for four groups: all patients (black), patients with inflammatory joint disease (red), patients with rheumatoid arthritis (orange), and patients with a connective tissue disease or vasculitis (blue). For (C), only ORs for all patients are shown. The reference categories are as follows: (A) ≤65 years, females, never smoked, remission or low disease activity; (B) the non-presence of the specific comorbidities (for all effects); (C) rheumatoid arthritis (for all effects); (D) methotrexate monotherapy (for all effects except for glucocorticoids), no glucocorticoids (for glucocorticoid dosage groups). Patients receiving multiple csDMARDs or immunosuppressants (except glucocorticoids) were grouped according to the following hierarchy: immunosuppressants>sulfasalazine>antimalarials>leflunomide>methotrexate; patients receiving a b/tsDMARD were considered solely in the b/tsDMARD group; glucocorticoids were examined separately and categorised by prednisolone-equivalent dosage (1–10 mg/day and >10 mg/day). bDMARD, biological disease-modifying anti-rheumatic drug; csDMARD, conventional synthetic disease-modifying antirheumatic drug; CTD, connective tissue diseases; CVD, cardiovascular disease; JIA, juvenile idiopathic arthritis; tsDMARD, targeted synthetic disease-modifying anti-rheumatic drug.

Comment in

References

    1. Landewé RB, Machado PM, Kroon F, et al. . EULAR provisional recommendations for the management of rheumatic and musculoskeletal diseases in the context of SARS-CoV-2. Ann Rheum Dis 2020;79:851–8. 10.1136/annrheumdis-2020-217877 - DOI - PubMed
    1. Mikuls TR, Johnson SR, Fraenkel L, et al. . American College of rheumatology guidance for the management of rheumatic disease in adult patients during the COVID-19 pandemic: version 2. Arthritis Rheumatol 2020;72:e1–12. 10.1002/art.41437 - DOI - PubMed
    1. Mikuls TR, Johnson SR, Fraenkel L, et al. . American College of rheumatology guidance for the management of rheumatic disease in adult patients during the COVID-19 pandemic: version 1. Arthritis Rheumatol 2020;72:1241–51. 10.1002/art.41301 - DOI - PubMed
    1. Zhong J, Shen G, Yang H, et al. . COVID-19 in patients with rheumatic disease in Hubei Province, China: a multicentre retrospective observational study. Lancet Rheumatol 2020;2:e557–64. 10.1016/S2665-9913(20)30227-7 - DOI - PMC - PubMed
    1. Favalli EG, Monti S, Ingegnoli F, et al. . Incidence of COVID-19 in patients with rheumatic diseases treated with targeted immunosuppressive drugs: what can we learn from observational data? Arthritis Rheumatol 2020;72:1600–6. 10.1002/art.41388 - DOI - PMC - PubMed

Publication types