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An international characterisation of patients hospitalised with COVID-19 and a comparison with those previously hospitalised with influenza
Edward Burn; Seng Chan You; Anthony Sena; Kristin Kostka; Hamed Abedtash; Maria Tereza F. Abrahao; Amanda Alberga; Heba Alghoul; Osaid Alser; Thamir M Alshammari; Maria Aragon; Carlos Areia; Juan M Banda; Jaehyeong Cho; Aedin C Culhane; Alexander Davydov; Frank J DeFalco; Talita Duarte-Salles; Scott L DuVall; Thomas Falconer; Sergio Fernandez-Bertolin; Weihua Gao; Asieh Golozar; Jill Hardin; George Hripcsak; Vojtech Huser; Hokyun Jeon; Yonghua Jing; Chi Young Jung; Benjamin Skov Kaas-Hansen; Denys Kaduk; Seamus Kent; Yeesuk Kim; Spyros Kolovos; Jennifer Lane; Hyejin Lee; Kristine E. Lynch; Rupa Makadia; Michael E. Matheny; Paras Mehta; Daniel R. Morales; Karthik Natarajan; Fredrik Nyberg; Anna Ostropolets; Rae Woong Park; Jimyung Park; Jose D. Posada; Albert Prats-Uribe; Gowtham A. Rao; Christian Reich; Yeunsook Rho; Peter Rijnbeek; Lisa M. Schilling; Martijn Schuemie; Nigam H. Shah; Azza Shoaibi; Seokyoung Song; Matthew Spotnitz; Marc A. Suchard; Joel Swerdel; David Vizcaya; Salvatore Volpe; Haini Wen; Andrew E Williams; Belay B Yimer; Lin Zhang; Oleg Zhuk; Daniel Prieto-Alhambra; Patrick Ryan.
Affiliation
  • Edward Burn; University of Oxford
  • Seng Chan You; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea
  • Anthony Sena; Janssen Research & Development, Titusville, NJ, USA
  • Kristin Kostka; Real World Solution, IQVIA, Cambridge, MA, USA
  • Hamed Abedtash; Eli Lilly and Company, Indianapolis, IN, USA
  • Maria Tereza F. Abrahao; Faculty of Medicine, University of Sao Paulo, Sao Paulo, Brazil
  • Amanda Alberga; Observational Health Data Sciences and Informatics Network, Alberta, Canada
  • Heba Alghoul; Faculty of Medicine, Islamic University of Gaza, Palestine
  • Osaid Alser; Massachusetts General Hospital, Harvard Medical School, Boston, USA
  • Thamir M Alshammari; Medication Safety Research Chair, King Saud University, Riyadh, Saudi Arabia
  • Maria Aragon; Fundacio Institut Universitari per a la recerca a l'Atencio Primaria de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
  • Carlos Areia; Nuffield Department of Clinical Neurosciences, University of Oxford, UK
  • Juan M Banda; Department of Computer Science, Georgia State Univeristy, Atlanta
  • Jaehyeong Cho; Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea
  • Aedin C Culhane; Department of Data Sciences, Dana-Farber Cancer Institute, Department of Biostatistics, Harvard TH Chan School of Public Health, Boston
  • Alexander Davydov; Medical Ontology Solutions, Odysseus Data Services Inc., Cambridge, MA, USA
  • Frank J DeFalco; Janssen Research and Development, Titusville, NJ, USA
  • Talita Duarte-Salles; Fundacio Institut Universitari per a la recerca a l'Atencio Primaria de Salut Jordi Gol i Gurina (IDIAPJGol)
  • Scott L DuVall; Department of Veterans Affairs
  • Thomas Falconer; Department of Biomedical Informatics, Columbia University, New York, NY
  • Sergio Fernandez-Bertolin; Fundacio Institut Universitari per a la recerca a l'Atencio Primaria de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain,
  • Weihua Gao; Health Economics and Outcomes Research, AbbVie, North Chicago, US
  • Asieh Golozar; Pharmacoepidemiology, Regeneron, NY
  • Jill Hardin; Janssen Research & Development, Titusville, NJ, USA
  • George Hripcsak; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
  • Vojtech Huser; National Library of Medicine, National Institutes of Health, MD, USA
  • Hokyun Jeon; Department of Biomedical Informatics, Ajou University School of Medicine
  • Yonghua Jing; Health Economics and Outcomes Research, AbbVie, North Chicago, US,
  • Chi Young Jung; Daegu Catholic University Medical Center
  • Benjamin Skov Kaas-Hansen; Clinical Pharmacology Unit, Zealand University Hospital, Denmark
  • Denys Kaduk; Odysseus Data Services, Inc., MA, Cambridge
  • Seamus Kent; National Institute for Health and Care Excellence, UK
  • Yeesuk Kim; Department of Orthopaedic Surgery, College of Medicine, Hanyang University, Seoul, Korea
  • Spyros Kolovos; Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford
  • Jennifer Lane; Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford
  • Hyejin Lee; Bigdata Department, Health Insurance Review & Assessment Service
  • Kristine E. Lynch; Department of Veterans Affairs
  • Rupa Makadia; Janssen Research & Development, Titusville, NJ, USA
  • Michael E. Matheny; Department of Veterans Affairs
  • Paras Mehta; College of Medicine, University of Arizona
  • Daniel R. Morales; Division of Population Health and Genomics, University of Dundee
  • Karthik Natarajan; Department of Biomedical Informatics, Columbia University, New York, NY
  • Fredrik Nyberg; School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
  • Anna Ostropolets; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA
  • Rae Woong Park; Ajou University
  • Jimyung Park; Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea
  • Jose D. Posada; Department of Medicine, School of Medicine, Stanford University
  • Albert Prats-Uribe; Centre for Statistics in Medicine. Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
  • Gowtham A. Rao; Janssen Research & Development, Titusville, NJ, USA
  • Christian Reich; Real World Solution, IQVIA, Cambridge, MA, USA
  • Yeunsook Rho; Bigdata Department, Health Insurance Review & Assessment Service
  • Peter Rijnbeek; Erasmus MC, Rotterdam, Netherlands
  • Lisa M. Schilling; Data Science to Patient Value Program, Department of Medicine, University of Colorado Anschutz Medical Campus
  • Martijn Schuemie; Janssen Research & Development, Titusville, NJ, USA
  • Nigam H. Shah; Department of Medicine, School of Medicine, Stanford University
  • Azza Shoaibi; Janssen Research & Development, Titusville, NJ, USA
  • Seokyoung Song; Department of Anesthesiology and Pain Medicine, Catholic University of Daegu, School of medicine
  • Matthew Spotnitz; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York
  • Marc A. Suchard; Department of Biostatistics, University of California, Los Angeles
  • Joel Swerdel; Janssen Research & Development, Titusville, NJ, USA
  • David Vizcaya; Bayer pharmaceuticals, Barcelona, Spain
  • Salvatore Volpe; Department of Biomedical Informatics, Columbia University, New York, NY
  • Haini Wen; Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
  • Andrew E Williams; Tufts Institute for Clinical Research and Health Policy Studies
  • Belay B Yimer; Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, The University of Manchester, Manchester
  • Lin Zhang; School of Public Health, Peking Union Medical College, Chinese Academy of Medical Sciences
  • Oleg Zhuk; Medical Ontology Solutions, Odysseus Data Services Inc., Cambridge, MA, USA
  • Daniel Prieto-Alhambra; Centre for Statistics in Medicine, NDORMS, University of Oxford
  • Patrick Ryan; Janssen Research & Development, Titusville, NJ, USA
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20074336
ABSTRACT
BackgroundIn this study we phenotyped individuals hospitalised with coronavirus disease 2019 (COVID-19) in depth, summarising entire medical histories, including medications, as captured in routinely collected data drawn from databases across three continents. We then compared individuals hospitalised with COVID-19 to those previously hospitalised with influenza. MethodsWe report demographics, previously recorded conditions and medication use of patients hospitalised with COVID-19 in the US (Columbia University Irving Medical Center [CUIMC], Premier Healthcare Database [PHD], UCHealth System Health Data Compass Database [UC HDC], and the Department of Veterans Affairs [VA OMOP]), in South Korea (Health Insurance Review & Assessment [HIRA]), and Spain (The Information System for Research in Primary Care [SIDIAP] and HM Hospitales [HM]). These patients were then compared with patients hospitalised with influenza in 2014-19. Results34,128 (US 8,362, South Korea 7,341, Spain 18,425) individuals hospitalised with COVID-19 were included. Between 4,811 (HM) and 11,643 (CUIMC) unique aggregate characteristics were extracted per patient, with all summarised in an accompanying interactive website (http//evidence.ohdsi.org/Covid19CharacterizationHospitalization/). Patients were majority male in the US (CUIMC 52%, PHD 52%, UC HDC 54%, VA OMOP 94%,) and Spain (SIDIAP 54%, HM 60%), but were predominantly female in South Korea (HIRA 60%). Age profiles varied across data sources. Prevalence of asthma ranged from 4% to 15%, diabetes from 13% to 43%, and hypertensive disorder from 24% to 70% across data sources. Between 14% and 33% were taking drugs acting on the renin-angiotensin system in the 30 days prior to hospitalisation. Compared to 81,596 individuals hospitalised with influenza in 2014-19, patients admitted with COVID-19 were more typically male, younger, and healthier, with fewer comorbidities and lower medication use. ConclusionsWe provide a detailed characterisation of patients hospitalised with COVID-19. Protecting groups known to be vulnerable to influenza is a useful starting point to minimize the number of hospital admissions needed for COVID-19. However, such strategies will also likely need to be broadened so as to reflect the particular characteristics of individuals hospitalised with COVID-19.
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Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Experimental_studies / Observational_studies / Rct Language: En Year: 2020 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Experimental_studies / Observational_studies / Rct Language: En Year: 2020 Document type: Preprint