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Characteristics, outcomes, and mortality amongst 133,589 patients with prevalent autoimmune diseases diagnosed with, and 48,418 hospitalised for COVID-19: a multinational distributed network cohort analysis
Eng Hooi Tan; Anthony G. Sena; Albert Prats-Uribe; Seng Chan You; Waheed-Ul-Rahman Ahmed; Kristin Kostka; Christian Reich; Scott L. Duvall; Kristine E. Lynch; Michael E. Matheny; Talita Duarte-Salles; Sergio Fernandez Bertolin; George Hripcsak; Karthik Natarajan; Thomas Falconer; Matthew Spotnitz; Anna Ostropolets; Clair Blacketer; Thamir M Alshammari; Heba Alghoul; Osaid Alser; Jennifer C.E. Lane; Dalia M Dawoud; Karishma Shah; Yue Yang; Lin Zhang; Carlos Areia; Asieh Golozar; Martina Recalde; Paula Casajust; Jitendra Jonnagaddala; Vignesh Subbian; David Vizcaya; Lana YH Lai; Fredrik Nyberg; Daniel R. Morales; Jose D. Posada; Nigam H. Shah; Mengchun Gong; Arani Vivekanantham; Aaron Abend; Evan P Minty; Marc A. Suchard; Peter Rijnbeek; Patrick B Ryan; Daniel Prieto-Alhambra.
Afiliación
  • Eng Hooi Tan; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, OX3 7LD, UK
  • Anthony G. Sena; 1. Janssen Research and Development, Titusville, NJ USA, 2. Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
  • Albert Prats-Uribe; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, OX3 7LD, UK
  • Seng Chan You; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea
  • Waheed-Ul-Rahman Ahmed; 1.Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Windmill Road, Oxford, UK, 2.C
  • Kristin Kostka; Real World Solutions, IQVIA, Cambridge, MA USA
  • Christian Reich; Real World Solutions, IQVIA, Cambridge, MA USA
  • Scott L. Duvall; 1. VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA, 2. Department of Internal Medicine, University
  • Kristine E. Lynch; 1.VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA, 2. Department of Internal Medicine, University o
  • Michael E. Matheny; 1.Tennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, TN, USA , 2. Department of Biomedical Informatics, Vanderbilt University Medi
  • Talita Duarte-Salles; Fundacio Institut Universitari per a la recerca a l Atencio Primaria de Salut Jordi Gol i Gurina, Barcelona, Spain
  • Sergio Fernandez Bertolin; Fundacio Institut Universitari per a la recerca a l Atencio Primaria de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
  • George Hripcsak; 1.Department of Biomedical Informatics, Columbia University, New York, NY, US , 2. New York-Presbyterian Hospital, New York, NY, US
  • Karthik Natarajan; 1. Department of Biomedical Informatics, Columbia University, New York, NY, US, 2. New York-Presbyterian Hospital, New York, NY, US
  • Thomas Falconer; Department of Biomedical Informatics, Columbia University, New York, NY, US
  • Matthew Spotnitz; Department of Biomedical Informatics, Columbia University, New York, NY, US
  • Anna Ostropolets; Department of Biomedical Informatics, Columbia University, New York, NY, US
  • Clair Blacketer; 1.Janssen Research and Development, Titusville, NJ USA, 2. Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
  • Thamir M Alshammari; Medication Safety Research Chair, King Saud University
  • Heba Alghoul; Faculty of Medicine, Islamic University of Gaza, Palestine
  • Osaid Alser; Massachusetts General Hospital, Harvard Medical School, Boston, 02114, Massachusetts, USA
  • Jennifer C.E. Lane; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, OX3 7LD, UK
  • Dalia M Dawoud; Cairo University, Faculty of Pharmacy, Cairo, Egypt
  • Karishma Shah; Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Windmill Road, Oxford, OX3 7LD, U
  • Yue Yang; DHC Technologies Co., LTD
  • Lin Zhang; 1.School of Population Medicine and Public Health, Chinese Academy of Medical Science & Peking Union Medical College, Beijing 100730, China, 2. Melbourne Scho
  • Carlos Areia; Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU, UK
  • Asieh Golozar; 1.Regeneron Pharmaceuticals, NY US, 2. Departament of Epidemiology, Johns Hopkins School of Public, Baltimore MD
  • Martina Recalde; 1.Fundacio Institut Universitari per a la recerca a lAtencio Primaria de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain, 2. Universitat Autonoma de Bar
  • Paula Casajust; Real-World Evidence, Trial Form Support, Barcelona, Spain
  • Jitendra Jonnagaddala; School of Public Health and Community Medicine, UNSW Sydney
  • Vignesh Subbian; College of Engineering, The University of Arizona Tucson, Arizona, USA
  • David Vizcaya; Bayer Pharmaceuticals, Sant Joan Despi, Spain
  • Lana YH Lai; School of Medical Sciences, University of Manchester, UK
  • Fredrik Nyberg; School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
  • Daniel R. Morales; Division of Population Health Sciences, University of Dundee
  • Jose D. Posada; Stanford Center for Biomedical Informatics Research, Department of Medicine, School of Medicine, Stanford University
  • Nigam H. Shah; Stanford Center for Biomedical Informatics Research, Department of Medicine, School of Medicine, Stanford University
  • Mengchun Gong; Health Management Institute, Southern Medical University
  • Arani Vivekanantham; Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Windmill Road, Oxford, OX3 7LD, U
  • Aaron Abend; Autoimmune Registry Inc., 125 West Lane, Guilford, CT 06437
  • Evan P Minty; O Brien School for Public Health, Faculty of Medicine, University of Calgary. 2500 University Drive NW, Calgary, Alberta T2N 1N4, Canada
  • Marc A. Suchard; Department of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, CA USA
  • Peter Rijnbeek; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
  • Patrick B Ryan; 1.Janssen Research and Development, Titusville, NJ USA, 2.Department of Biomedical Informatics, Columbia University, New York, NY, US
  • Daniel Prieto-Alhambra; Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, OX3 7LD, UK
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20236802
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ABSTRACT
ObjectivePatients with autoimmune diseases were advised to shield to avoid COVID-19, but information on their prognosis is lacking. We characterised 30-day outcomes and mortality after hospitalisation with COVID-19 among patients with prevalent autoimmune diseases, and compared outcomes after hospital admissions among similar patients with seasonal influenza. DesignMultinational network cohort study SettingElectronic health records data from Columbia University Irving Medical Center (CUIMC) (NYC, United States [US]), Optum [US], Department of Veterans Affairs (VA) (US), Information System for Research in Primary Care-Hospitalisation Linked Data (SIDIAP-H) (Spain), and claims data from IQVIA Open Claims (US) and Health Insurance and Review Assessment (HIRA) (South Korea). ParticipantsAll patients with prevalent autoimmune diseases, diagnosed and/or hospitalised between January and June 2020 with COVID-19, and similar patients hospitalised with influenza in 2017-2018 were included. Main outcome measures30-day complications during hospitalisation and death ResultsWe studied 133,589 patients diagnosed and 48,418 hospitalised with COVID-19 with prevalent autoimmune diseases. The majority of participants were female (60.5% to 65.9%) and aged [≥]50 years. The most prevalent autoimmune conditions were psoriasis (3.5 to 32.5%), rheumatoid arthritis (3.9 to 18.9%), and vasculitis (3.3 to 17.6%). Amongst hospitalised patients, Type 1 diabetes was the most common autoimmune condition (4.8% to 7.5%) in US databases, rheumatoid arthritis in HIRA (18.9%), and psoriasis in SIDIAP-H (26.4%). Compared to 70,660 hospitalised with influenza, those admitted with COVID-19 had more respiratory complications including pneumonia and acute respiratory distress syndrome, and higher 30-day mortality (2.2% to 4.3% versus 6.3% to 24.6%). ConclusionsPatients with autoimmune diseases had high rates of respiratory complications and 30-day mortality following a hospitalization with COVID-19. Compared to influenza, COVID-19 is a more severe disease, leading to more complications and higher mortality. Future studies should investigate predictors of poor outcomes in COVID-19 patients with autoimmune diseases. What is already known about this topicO_LIPatients with autoimmune conditions may be at increased risk of COVID-19 infection andcomplications. C_LIO_LIThere is a paucity of evidence characterising the outcomes of hospitalised COVID-19 patients with prevalent autoimmune conditions. C_LI What this study addsO_LIMost people with autoimmune diseases who required hospitalisation for COVID-19 were women, aged 50 years or older, and had substantial previous comorbidities. C_LIO_LIPatients who were hospitalised with COVID-19 and had prevalent autoimmune diseases had higher prevalence of hypertension, chronic kidney disease, heart disease, and Type 2 diabetes as compared to those with prevalent autoimmune diseases who were diagnosed with COVID-19. C_LIO_LIA variable proportion of 6% to 25% across data sources died within one month of hospitalisation with COVID-19 and prevalent autoimmune diseases. C_LIO_LIFor people with autoimmune diseases, COVID-19 hospitalisation was associated with worse outcomes and 30-day mortality compared to admission with influenza in the 2017-2018 season. C_LI
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Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Cohort_studies / Observational_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Cohort_studies / Observational_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint