Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study
Detailed knowledge of the characteristics of COVID-19 patients helps with public health planning. Here, the authors use routinely-collected data from seven databases in three countries to describe the characteristics of >30,000 patients admitted with COVID-19 and compare them with those admitted...
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2020-10-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-18849-z |
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English |
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Article |
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DOAJ |
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Edward Burn Seng Chan You Anthony G. Sena Kristin Kostka Hamed Abedtash Maria Tereza F. Abrahão 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 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 C. E. Lane Hyejin Lee Kristine E. Lynch Rupa Makadia Michael E. Matheny Paras P. Mehta Daniel R. Morales Karthik Natarajan Fredrik Nyberg Anna Ostropolets Rae Woong Park Jimyung Park Jose D. Posada Albert Prats-Uribe Gowtham 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 N. Swerdel David Vizcaya Salvatore Volpe Haini Wen Andrew E. Williams Belay B. Yimer Lin Zhang Oleg Zhuk Daniel Prieto-Alhambra Patrick Ryan |
| spellingShingle |
Edward Burn Seng Chan You Anthony G. Sena Kristin Kostka Hamed Abedtash Maria Tereza F. Abrahão 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 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 C. E. Lane Hyejin Lee Kristine E. Lynch Rupa Makadia Michael E. Matheny Paras P. Mehta Daniel R. Morales Karthik Natarajan Fredrik Nyberg Anna Ostropolets Rae Woong Park Jimyung Park Jose D. Posada Albert Prats-Uribe Gowtham 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 N. Swerdel David Vizcaya Salvatore Volpe Haini Wen Andrew E. Williams Belay B. Yimer Lin Zhang Oleg Zhuk Daniel Prieto-Alhambra Patrick Ryan Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study Nature Communications |
| author_facet |
Edward Burn Seng Chan You Anthony G. Sena Kristin Kostka Hamed Abedtash Maria Tereza F. Abrahão 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 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 C. E. Lane Hyejin Lee Kristine E. Lynch Rupa Makadia Michael E. Matheny Paras P. Mehta Daniel R. Morales Karthik Natarajan Fredrik Nyberg Anna Ostropolets Rae Woong Park Jimyung Park Jose D. Posada Albert Prats-Uribe Gowtham 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 N. Swerdel David Vizcaya Salvatore Volpe Haini Wen Andrew E. Williams Belay B. Yimer Lin Zhang Oleg Zhuk Daniel Prieto-Alhambra Patrick Ryan |
| author_sort |
Edward Burn |
| title |
Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study |
| title_short |
Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study |
| title_full |
Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study |
| title_fullStr |
Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study |
| title_full_unstemmed |
Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study |
| title_sort |
deep phenotyping of 34,128 adult patients hospitalised with covid-19 in an international network study |
| publisher |
Nature Publishing Group |
| series |
Nature Communications |
| issn |
2041-1723 |
| publishDate |
2020-10-01 |
| description |
Detailed knowledge of the characteristics of COVID-19 patients helps with public health planning. Here, the authors use routinely-collected data from seven databases in three countries to describe the characteristics of >30,000 patients admitted with COVID-19 and compare them with those admitted for influenza in previous years. |
| url |
https://doi.org/10.1038/s41467-020-18849-z |
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doaj-cfa5ce1ceb5b40e2835e784a7ff0057c2021-10-10T11:46:38ZengNature Publishing GroupNature Communications2041-17232020-10-0111111110.1038/s41467-020-18849-zDeep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network studyEdward Burn0Seng Chan You1Anthony G. Sena2Kristin Kostka3Hamed Abedtash4Maria Tereza F. Abrahão5Amanda Alberga6Heba Alghoul7Osaid Alser8Thamir M. Alshammari9Maria Aragon10Carlos Areia11Juan M. Banda12Jaehyeong Cho13Aedin C. Culhane14Alexander Davydov15Frank J. DeFalco16Talita Duarte-Salles17Scott DuVall18Thomas Falconer19Sergio Fernandez-Bertolin20Weihua Gao21Asieh Golozar22Jill Hardin23George Hripcsak24Vojtech Huser25Hokyun Jeon26Yonghua Jing27Chi Young Jung28Benjamin Skov Kaas-Hansen29Denys Kaduk30Seamus Kent31Yeesuk Kim32Spyros Kolovos33Jennifer C. E. Lane34Hyejin Lee35Kristine E. Lynch36Rupa Makadia37Michael E. Matheny38Paras P. Mehta39Daniel R. Morales40Karthik Natarajan41Fredrik Nyberg42Anna Ostropolets43Rae Woong Park44Jimyung Park45Jose D. Posada46Albert Prats-Uribe47Gowtham Rao48Christian Reich49Yeunsook Rho50Peter Rijnbeek51Lisa M. Schilling52Martijn Schuemie53Nigam H. Shah54Azza Shoaibi55Seokyoung Song56Matthew Spotnitz57Marc A. Suchard58Joel N. Swerdel59David Vizcaya60Salvatore Volpe61Haini Wen62Andrew E. Williams63Belay B. Yimer64Lin Zhang65Oleg Zhuk66Daniel Prieto-Alhambra67Patrick Ryan68Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol)Department of Biomedical Informatics, Ajou University School of MedicineJanssen Research and DevelopmentReal World Solutions, IQVIAEli Lilly and CompanyFaculty of Medicine, University of Sao PauloObservational Health Data Sciences and Informatics NetworkFaculty of Medicine, Islamic University of GazaMassachusetts General Hospital, Harvard Medical SchoolMedication Safety Research Chair, King Saud UniversityFundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol)Nuffield Department of Clinical Neurosciences, University of OxfordDepartment of Computer Science, Georgia State UniversityDepartment of Biomedical Informatics, Ajou University School of MedicineData Science, Dana-Farber Cancer Institute. Biostatistics, Harvard TH Chan School of Public HealthOdysseus Data Services, Inc.Janssen Research and DevelopmentFundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol)Department of Veterans AffairsDepartment of Biomedical Informatics, Columbia UniversityFundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol)Health Economics and Outcomes Research, AbbViePharmacoepidemiologyJanssen Research and DevelopmentDepartment of Biomedical Informatics, Columbia UniversityNational Library of Medicine, National Institutes of HealthDepartment of Biomedical Sciences, Ajou University Graduate School of MedicineHealth Economics and Outcomes Research, AbbVieDivision of Respiratory and Critical Care Medicine, Department of Internal Medicine, Daegu Catholic University Medical CenterClinical Pharmacology Unit, Zealand University HospitalOdysseus Data Services, Inc.Science Policy and Research, National Institute for Health and Care ExcellenceDepartment of Orthopaedic Surgery, College of Medicine, Hanyang UniversityNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDROMS), University of OxfordNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDROMS), University of OxfordBigdata Department, Health Insurance Review & Assessment ServiceDepartment of Veterans AffairsJanssen Research and DevelopmentGRECC, Tennessee Valley Healthcare System VACollege of Medicine-Tucson, University of ArizonaDivision of Population Health and Genomics, University of DundeeDepartment of Biomedical Informatics, Columbia UniversitySchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of GothenburgDepartment of Biomedical Informatics, Columbia UniversityDepartment of Biomedical Informatics, Ajou University School of MedicineDepartment of Biomedical Sciences, Ajou University Graduate School of MedicineDepartment of Medicine, School of Medicine, Stanford UniversityCentre for Statistics in Medicine (CSM), Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDROMS), University of OxfordJanssen Research and DevelopmentReal World Solutions, IQVIANuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDROMS), University of OxfordDepartment of Medical Informatics, Erasmus University Medical CenterData Science to Patient Value Program, Department of Medicine, University of Colorado Anschutz Medical CampusJanssen Research and DevelopmentDepartment of Medicine, School of Medicine, Stanford UniversityJanssen Research and DevelopmentDepartment of Anesthesiology and Pain Medicine, Catholic University of Daegu, School of MedicineDepartment of Biomedical Informatics, Columbia UniversityDepartment of Biostatistics, UCLA Fielding School of Public Health, University of CaliforniaJanssen Research and DevelopmentBayer PharmaceuticalsDepartment of Biomedical Informatics, Columbia UniversityShuguang Hospital affiliated to Shanghai University of Traditional Chinese MedicineTufts Institute for Clinical Research and Health Policy StudiesCentre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, The University of ManchesterSchool of Public Health, Peking Union Medical College, Chinese Academy of Medical SciencesOdysseus Data Services, Inc.Centre for Statistics in Medicine (CSM), Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDROMS), University of OxfordJanssen Research and DevelopmentDetailed knowledge of the characteristics of COVID-19 patients helps with public health planning. Here, the authors use routinely-collected data from seven databases in three countries to describe the characteristics of >30,000 patients admitted with COVID-19 and compare them with those admitted for influenza in previous years.https://doi.org/10.1038/s41467-020-18849-z |