Characteristics associated with hospitalisation for COVID-19 in people with rheumatic disease: data from the COVID-19 Global Rheumatology Alliance physician-reported registry.

Objectives: COVID-19 outcomes in people with rheumatic diseases remain poorly understood. The aim was to examine demographic and clinical factors associated with COVID-19 hospitalisation status in people with rheumatic disease.
Methods: Case series of individuals with rheumatic disease and COVID-19 from the COVID-19 Global Rheumatology Alliance registry: 24 March 2020 to 20 April 2020. Multivariable logistic regression was used to estimate ORs and 95% CIs of hospitalisation. Age, sex, smoking status, rheumatic disease diagnosis, comorbidities and rheumatic disease medications taken immediately prior to infection were analysed.
Results: A total of 600 cases from 40 countries were included. Nearly half of the cases were hospitalised (277, 46%) and 55 (9%) died. In multivariable-adjusted models, prednisone dose ≥10 mg/day was associated with higher odds of hospitalisation (OR 2.05, 95% CI 1.06 to 3.96). Use of conventional disease-modifying antirheumatic drug (DMARD) alone or in combination with biologics/Janus Kinase inhibitors was not associated with hospitalisation (OR 1.23, 95% CI 0.70 to 2.17 and OR 0.74, 95% CI 0.37 to 1.46, respectively). Non-steroidal anti-inflammatory drug (NSAID) use was not associated with hospitalisation status (OR 0.64, 95% CI 0.39 to 1.06). Tumour necrosis factor inhibitor (anti-TNF) use was associated with a reduced odds of hospitalisation (OR 0.40, 95% CI 0.19 to 0.81), while no association with antimalarial use (OR 0.94, 95% CI 0.57 to 1.57) was observed.
Conclusions: We found that glucocorticoid exposure of ≥10 mg/day is associated with a higher odds of hospitalisation and anti-TNF with a decreased odds of hospitalisation in patients with rheumatic disease. Neither exposure to DMARDs nor NSAIDs were associated with increased odds of hospitalisation.
Competing Interests: Competing interests: MG reports grants from National Institutes of Health, NIAMS, outside the submitted work. KLH reports she has received speaker’s fees from AbbVie and grant income from BMS, UCB and Pfizer, all unrelated to this manuscript. KLH is also supported by the NIHR Manchester Biomedical Research Centre. SA-A has nothing to disclose. 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. MD reports no competing interests related to this work. She is supported by grants from the National Institute of Health, Pfizer Independent Grants for Learning and Change, Genentech, Horizon Pharma. She has performed consultant work for Amgen, Novartis, Regeneron/Sanofi unrelated to this work. LG reports personal consultant fees from AbbVie, Biogen, Celgene, Janssen, Eli Lilly, Novartis, Pfizer, Sanofi-Aventis, UCB and grants from Eli Lilly, Mylan, Pfizer, all unrelated to this manuscript. EM reports that LPCDR received support for specific activities: grants from AbbVie, Novartis, Janssen-Cilag, Eli Lilly Portugal, Sanofi, Grünenthal S.A., MSD, Celgene, Medac, Pharmakern, GAfPA; grants and non-financial support from Pfizer; non-financial support from Grünenthal GmbH, outside the submitted work. GS reports no competing interests related to this work. 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. AS reports grants from a consortium of 13 companies (among them AbbVie, BMS, Celltrion, Fresenius Kabi, Eli Lilly, Mylan, Hexal, MSD, Pfizer, Roche, Samsung, Sanofi-Aventis and UCB) supporting the German RABBIT register and personal fees from lectures for AbbVie, MSD, Roche, BMS, Pfizer, outside the submitted work. SB reports no competing interests related to this work. He reports non-branded marketing campaigns for Novartis (<US$10 000). 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. JSH reports grants from Rheumatology Research Foundation, grants from Childhood Arthritis and Rheumatology Research Alliance (CARRA), personal fees from Novartis, outside the submitted work. ES reports non-financial support from Canadian Arthritis Patient Alliance, outside the submitted work. PS reports personal fees from American College of Rheumatology/Wiley Publishing, outside the submitted work. JY reports personal fees from AstraZeneca, personal fees from Eli Lilly, grants from Pfizer, outside the submitted work. PM reports personal fees from AbbVie, personal fees from Eli Lilly, personal fees from Novartis, personal fees from UCB, outside the submitted work. PR reports personal fees from AbbVie, non-financial support from BMS, personal fees from Eli Lilly, personal fees from Janssen, personal fees from Pfizer, personal fees from UCB, non-financial support from Roche, personal fees from Novartis, outside the submitted work. ZI, LJ, PK, SLT, SR, JFS, LT, KW, WC, JWL and ZSW have nothing to disclose.
(© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.)