Characteristics associated with hospitalisation for COVID-19 in people with rheumatic disease: data from the COVID-19 Global Rheumatology Alliance physician-reported registry
ObjectivesCOVID-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.MethodsCase series of individuals with rheumatic disease and COVID-19 from...
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| Published in | Annals of the rheumatic diseases Vol. 79; no. 7; pp. 859 - 866 |
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| Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
BMJ Publishing Group LTD
01.07.2020
BMJ Publishing Group |
| Subjects | |
| Online Access | Get full text |
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| Abstract | ObjectivesCOVID-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.MethodsCase 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.ResultsA 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.ConclusionsWe 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. |
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| AbstractList | ObjectivesCOVID-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.MethodsCase 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.ResultsA 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.ConclusionsWe 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. 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 ≥q10\,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 ≥q10\,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. 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. 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. 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. 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. 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. |
| Author | Trupin, Laura Jacobsohn, Lindsay Wallace, Zachary S Sufka, Paul Grainger, Rebecca Gossec, Laure Schmajuk, Gabriela Robinson, Philip C Hyrich, Kimme L Liew, Jean W Izadi, Zara Sirotich, Emily Wysham, Katherine D Carmona, Loreto Yazdany, Jinoos Rush, Stephanie Hausmann, Jonathan S Lawson-Tovey, Saskia Danila, Maria I Mateus, Elsa F Gianfrancesco, Milena Simard, Julia Al-Adely, Sarah Strangfeld, Anja Machado, Pedro M Bhana, Suleman Costello, Wendy Katz, Patricia |
| AuthorAffiliation | 15 Department of Medicine , University of Otago , Wellington , New Zealand 11 Forschungsbereich Epidemiologie , Deutsches Rheuma-Forschungszentrum Berlin , Berlin , Germany 18 Department of Health Research Methods, Evidence, and Impact , McMaster University , Hamilton , Ontario , Canada 23 University College London Hospitals (UCLH) National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) , London , UK 19 Canadian Arthritis Patient Alliance , Toronto , Ontario , Canada 8 Centre for Genetics and Genomics Versus Arthritis , The University of Manchester , Manchester , UK 17 Harvard Medical School , Boston , Massachusetts , USA 25 Faculty of Medicine , The University of Queensland , Herston , Queensland , Australia 5 Division of Clinical Immunology and Rheumatology, Department of Medicine , The University of Alabama at Birmingham , Birmingham , Alabama , USA 1 Department of Medicine, Division of Rheumatology , University of California San Francisco , San Francisco , California |
| AuthorAffiliation_xml | – name: 4 Instituto de Salud Musculoesquelética , Madrid , Spain – name: 22 Centre for Rheumatology & Department of Neuromuscular Diseases , University College London (UCL) , London , UK – name: 3 National Institute of Health Research Manchester Biomedical Research Centre , Manchester University NHS Foundation Trust , Manchester , Greater Manchester , UK – name: 6 Institut Pierre Louis d'Epidémiologie et de Santé Publique, INSERM , Sorbonne Universite , Paris , France – name: 8 Centre for Genetics and Genomics Versus Arthritis , The University of Manchester , Manchester , UK – name: 11 Forschungsbereich Epidemiologie , Deutsches Rheuma-Forschungszentrum Berlin , Berlin , Germany – name: 17 Harvard Medical School , Boston , Massachusetts , USA – name: 1 Department of Medicine, Division of Rheumatology , University of California San Francisco , San Francisco , California , USA – name: 23 University College London Hospitals (UCLH) National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) , London , UK – name: 25 Faculty of Medicine , The University of Queensland , Herston , Queensland , Australia – name: 15 Department of Medicine , University of Otago , Wellington , New Zealand – name: 5 Division of Clinical Immunology and Rheumatology, Department of Medicine , The University of Alabama at Birmingham , Birmingham , Alabama , USA – name: 18 Department of Health Research Methods, Evidence, and Impact , McMaster University , Hamilton , Ontario , Canada – name: 26 Metro North Hospital & Health Service , Royal Brisbane and Women's Hospital , Herston , Queensland , Australia – name: 24 Department of Rheumatology, Northwick Park Hospital, London North West University Healthcare NHS trust , London , UK – name: 20 Healthpartners , St Paul , Minnesota , USA – name: 10 Health Research & Policy, Division of Epidemiology and Department of Medicine, Division of Immunology & Rheumatology , Stanford School of Medicine , Stanford , California , USA – name: 16 Boston Children’s Hospital , Boston , Massachusetts , USA – name: 12 University of Washington , Seattle , Washington , USA – name: 7 APHP, Rheumatology Department , Hopital Universitaire Pitie Salpetriere , Paris , France – name: 19 Canadian Arthritis Patient Alliance , Toronto , Ontario , Canada – name: 13 Crystal Run Healthcare , Middletown , New York , USA – name: 14 Irish Children's Arthritis Network (iCAN) , Tipperary , Ireland – name: 9 Portuguese League Against Rheumatic Diseases (LPCDR) , Lisbon , Portugal – name: 2 Centre for Epidemiology Versus Arthritis , The University of Manchester , Manchester , UK – name: 21 Massachusetts General Hospital , Boston , Massachusetts , USA |
| Author_xml | – sequence: 1 givenname: Milena surname: Gianfrancesco fullname: Gianfrancesco, Milena email: philip.robinson@uq.edu.au organization: Department of Medicine, Division of Rheumatology, University of California San Francisco, San Francisco, California, USA – sequence: 2 givenname: Kimme L surname: Hyrich fullname: Hyrich, Kimme L email: philip.robinson@uq.edu.au organization: National Institute of Health Research Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK – sequence: 3 givenname: Sarah surname: Al-Adely fullname: Al-Adely, Sarah email: philip.robinson@uq.edu.au organization: National Institute of Health Research Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK – sequence: 4 givenname: Loreto surname: Carmona fullname: Carmona, Loreto email: philip.robinson@uq.edu.au organization: Instituto de Salud Musculoesquelética, Madrid, Spain – sequence: 5 givenname: Maria I surname: Danila fullname: Danila, Maria I email: philip.robinson@uq.edu.au organization: Division of Clinical Immunology and Rheumatology, Department of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA – sequence: 6 givenname: Laure orcidid: 0000-0002-4528-310X surname: Gossec fullname: Gossec, Laure email: philip.robinson@uq.edu.au organization: APHP, Rheumatology Department, Hopital Universitaire Pitie Salpetriere, Paris, France – sequence: 7 givenname: Zara surname: Izadi fullname: Izadi, Zara email: philip.robinson@uq.edu.au organization: Department of Medicine, Division of Rheumatology, University of California San Francisco, San Francisco, California, USA – sequence: 8 givenname: Lindsay surname: Jacobsohn fullname: Jacobsohn, Lindsay email: philip.robinson@uq.edu.au organization: Department of Medicine, Division of Rheumatology, University of California San Francisco, San Francisco, California, USA – sequence: 9 givenname: Patricia surname: Katz fullname: Katz, Patricia email: philip.robinson@uq.edu.au organization: Department of Medicine, Division of Rheumatology, University of California San Francisco, San Francisco, California, USA – sequence: 10 givenname: Saskia surname: Lawson-Tovey fullname: Lawson-Tovey, Saskia email: philip.robinson@uq.edu.au organization: Centre for Genetics and Genomics Versus Arthritis, The University of Manchester, Manchester, UK – sequence: 11 givenname: Elsa F surname: Mateus fullname: Mateus, Elsa F email: philip.robinson@uq.edu.au organization: Portuguese League Against Rheumatic Diseases (LPCDR), Lisbon, Portugal – sequence: 12 givenname: Stephanie surname: Rush fullname: Rush, Stephanie email: philip.robinson@uq.edu.au organization: Department of Medicine, Division of Rheumatology, University of California San Francisco, San Francisco, California, USA – sequence: 13 givenname: Gabriela surname: Schmajuk fullname: Schmajuk, Gabriela email: philip.robinson@uq.edu.au organization: Department of Medicine, Division of Rheumatology, University of California San Francisco, San Francisco, California, USA – sequence: 14 givenname: Julia surname: Simard fullname: Simard, Julia email: philip.robinson@uq.edu.au organization: Health Research & Policy, Division of Epidemiology and Department of Medicine, Division of Immunology & Rheumatology, Stanford School of Medicine, Stanford, California, USA – sequence: 15 givenname: Anja surname: Strangfeld fullname: Strangfeld, Anja email: philip.robinson@uq.edu.au organization: Forschungsbereich Epidemiologie, Deutsches Rheuma-Forschungszentrum Berlin, Berlin, Germany – sequence: 16 givenname: Laura surname: Trupin fullname: Trupin, Laura email: philip.robinson@uq.edu.au organization: Department of Medicine, Division of Rheumatology, University of California San Francisco, San Francisco, California, USA – sequence: 17 givenname: Katherine D surname: Wysham fullname: Wysham, Katherine D email: philip.robinson@uq.edu.au organization: University of Washington, Seattle, Washington, USA – sequence: 18 givenname: Suleman surname: Bhana fullname: Bhana, Suleman email: philip.robinson@uq.edu.au organization: Crystal Run Healthcare, Middletown, New York, USA – sequence: 19 givenname: Wendy surname: Costello fullname: Costello, Wendy email: philip.robinson@uq.edu.au organization: Irish Children's Arthritis Network (iCAN), Tipperary, Ireland – sequence: 20 givenname: Rebecca surname: Grainger fullname: Grainger, Rebecca email: philip.robinson@uq.edu.au organization: Department of Medicine, University of Otago, Wellington, New Zealand – sequence: 21 givenname: Jonathan S surname: Hausmann fullname: Hausmann, Jonathan S email: philip.robinson@uq.edu.au organization: Harvard Medical School, Boston, Massachusetts, USA – sequence: 22 givenname: Jean W surname: Liew fullname: Liew, Jean W email: philip.robinson@uq.edu.au organization: University of Washington, Seattle, Washington, USA – sequence: 23 givenname: Emily surname: Sirotich fullname: Sirotich, Emily email: philip.robinson@uq.edu.au organization: Canadian Arthritis Patient Alliance, Toronto, Ontario, Canada – sequence: 24 givenname: Paul surname: Sufka fullname: Sufka, Paul email: philip.robinson@uq.edu.au organization: Healthpartners, St Paul, Minnesota, USA – sequence: 25 givenname: Zachary S surname: Wallace fullname: Wallace, Zachary S email: philip.robinson@uq.edu.au organization: Massachusetts General Hospital, Boston, Massachusetts, USA – sequence: 26 givenname: Jinoos surname: Yazdany fullname: Yazdany, Jinoos email: philip.robinson@uq.edu.au organization: Department of Medicine, Division of Rheumatology, University of California San Francisco, San Francisco, California, USA – sequence: 27 givenname: Pedro M orcidid: 0000-0002-8411-7972 surname: Machado fullname: Machado, Pedro M email: philip.robinson@uq.edu.au organization: Department of Rheumatology, Northwick Park Hospital, London North West University Healthcare NHS trust, London, UK – sequence: 28 givenname: Philip C orcidid: 0000-0002-3156-3418 surname: Robinson fullname: Robinson, Philip C email: philip.robinson@uq.edu.au organization: Metro North Hospital & Health Service, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32471903$$D View this record in MEDLINE/PubMed https://hal.sorbonne-universite.fr/hal-03849959$$DView record in HAL |
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| ContentType | Journal Article |
| Copyright | Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ. This article is made freely available for use in accordance with BMJ’s website terms and conditions for the duration of the covid-19 pandemic or until otherwise determined by BMJ. You may use, download and print the article for any lawful, non-commercial purpose (including text and data mining) provided that all copyright notices and trade marks are retained. https://bmj.com/coronavirus/usage? Distributed under a Creative Commons Attribution 4.0 International License Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ. 2020 |
| Copyright_xml | – notice: Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ. – notice: This article is made freely available for use in accordance with BMJ’s website terms and conditions for the duration of the covid-19 pandemic or until otherwise determined by BMJ. You may use, download and print the article for any lawful, non-commercial purpose (including text and data mining) provided that all copyright notices and trade marks are retained. https://bmj.com/coronavirus/usage? – notice: Distributed under a Creative Commons Attribution 4.0 International License – notice: Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ. 2020 |
| CorporateAuthor | COVID-19 Global Rheumatology Alliance |
| CorporateAuthor_xml | – name: COVID-19 Global Rheumatology Alliance |
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| DOI | 10.1136/annrheumdis-2020-217871 |
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| Keywords | lupus erythematosus, systemic methotrexate arthritis, rheumatoid hydroxychloroquine tumor necrosis factor inhibitors systemic arthritis lupus erythematosus rheumatoid |
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| License | This article is made freely available for use in accordance with BMJ’s website terms and conditions for the duration of the covid-19 pandemic or until otherwise determined by BMJ. You may use, download and print the article for any lawful, non-commercial purpose (including text and data mining) provided that all copyright notices and trade marks are retained. Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ. Distributed under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0 This article is made freely available for use in accordance with BMJ's website terms and conditions for the duration of the covid-19 pandemic or until otherwise determined by BMJ. You may use, download and print the article for any lawful, non-commercial purpose (including text and data mining) provided that all copyright notices and trade marks are retained. |
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| Snippet | ObjectivesCOVID-19 outcomes in people with rheumatic diseases remain poorly understood. The aim was to examine demographic and clinical factors associated with... COVID-19 outcomes in people with rheumatic diseases remain poorly understood. The aim was to examine demographic and clinical factors associated with COVID-19... Objectives COVID-19 outcomes in people with rheumatic diseases remain poorly understood. The aim was to examine demographic and clinical factors associated... |
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| SubjectTerms | Adolescent Adult Aged Anti-Inflammatory Agents, Non-Steroidal - therapeutic use Antimalarials - therapeutic use Antirheumatic Agents - therapeutic use Arthritis Arthritis, Psoriatic - complications Arthritis, Psoriatic - drug therapy Arthritis, Rheumatoid - complications Arthritis, Rheumatoid - drug therapy Betacoronavirus Biological Products - therapeutic use Cardiovascular disease Coronavirus Infections - complications Coronavirus Infections - mortality Coronavirus Infections - therapy Coronaviruses COVID-19 Diabetes Epidemiology Female Glucocorticoids Glucocorticoids - therapeutic use Hospitalization - statistics & numerical data Humans Hypertension Inflammation Janus kinase Janus Kinase Inhibitors - therapeutic use Kidney diseases Laboratories Life Sciences Lung diseases Lupus Erythematosus, Systemic - complications Lupus Erythematosus, Systemic - drug therapy Male Medical imaging Middle Aged Multivariate Analysis Nonsteroidal anti-inflammatory drugs Pandemics Patients Physicians Pneumonia, Viral - complications Pneumonia, Viral - mortality Pneumonia, Viral - therapy Prednisone Prednisone - therapeutic use Protective Factors Registries Rheumatic diseases Rheumatic Diseases - complications Rheumatic Diseases - drug therapy Rheumatology Risk Factors SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 Severity of Illness Index Spondylarthropathies - complications Spondylarthropathies - drug therapy Tumor necrosis factor Tumor Necrosis Factor Inhibitors - therapeutic use Tumor necrosis factor-TNF Tumors Variables Vasculitis - complications Vasculitis - drug therapy Young Adult |
| Title | Characteristics associated with hospitalisation for COVID-19 in people with rheumatic disease: data from the COVID-19 Global Rheumatology Alliance physician-reported registry |
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