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Baseline phenotype and 30-day outcomes of people tested for COVID-19: an international network cohort including >3.32 million people tested with real-time PCR and >219,000 tested positive for SARS-CoV-2 in South Korea, Spain and the United States.
Golozar, Asieh; Lai, Lana Yh; Sena, Anthony G; Vizcaya, David; Schilling, Lisa M; Huser, Vojtech; Nyberg, Fredrik; Duvall, Scott L; Morales, Daniel R; Alshammari, Thamir M; Abedtash, Hamed; Ahmed, Waheed-Ul-Rahman; Alser, Osaid; Alghoul, Heba; Zhang, Ying; Gong, Mengchun; Guan, Yin; Areia, Carlos; Jonnagaddala, Jitendra; Shah, Karishma; Lane, Jennifer C E; Prats-Uribe, Albert; Posada, Jose D; Shah, Nigam H; Subbian, Vignesh; Zhang, Lin; Abrahão, Maria Tereza Fernandes; Rijnbeek, Peter R; You, Seng Chan; Casajust, Paula; Roel, Elena; Recalde, Martina; Fernández-Bertolín, Sergio; Andryc, Alan; Thomas, Jason A; Wilcox, Adam B; Fortin, Stephen; Blacketer, Clair; DeFalco, Frank; Natarajan, Karthik; Falconer, Thomas; Spotnitz, Matthew; Ostropolets, Anna; Hripcsak, George; Suchard, Marc; Lynch, Kristine E; Matheny, Michael E; Williams, Andrew; Reich, Christian; Duarte-Salles, Talita.
Afiliação
  • Golozar A; Regeneron Pharmaceutical, NY USA.
  • Lai LY; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, MD USA.
  • Sena AG; Division of Cancer Sciences, School of Medical Sciences, University of Manchester, UK.
  • Vizcaya D; Janssen R&D, Titusville NJ, USA.
  • Schilling LM; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Huser V; Bayer Pharmaceuticals, Sant Joan Despi, Spain.
  • Nyberg F; Data Science to Patient Value Program, University of Colorado Anschutz Medical Campus.
  • Duvall SL; National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
  • Morales DR; School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Alshammari TM; VINCI, VA Salt Lake City Health Care System, Salt Lake City, VA, & Division of Epidemiology, University of Utah, Salt Lake City, UT.
  • Abedtash H; Division of Population Health and Genomics, University of Dundee, UK.
  • Ahmed WU; Medication Safety Research Chair, King Saud University, Riyadh, Saudi Arabia.
  • Alser O; Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN.
  • Alghoul H; Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
  • Zhang Y; College of Medicine and Health, University of Exeter, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK.
  • Gong M; Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Guan Y; Faculty of Medicine, Islamic University of Gaza, Palestine.
  • Areia C; DHC Technologies Co. Ltd, Beijing, China.
  • Jonnagaddala J; DHC Technologies Co. Ltd, Beijing, China.
  • Shah K; DHC Technologies Co. Ltd, Beijing, China.
  • Lane JCE; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
  • Prats-Uribe A; School of Public Health and Community Medicine, UNSW Sydney, Australia.
  • Posada JD; Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
  • Shah NH; Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
  • Subbian V; Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
  • Zhang L; Stanford University School of Medicine, Stanford, California, USA.
  • Abrahão MTF; Stanford University School of Medicine, Stanford, California, USA.
  • Rijnbeek PR; College of Engineering, The University of Arizona, Tucson, Arizona, USA.
  • You SC; School of Population Medicine and Public Health, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
  • Casajust P; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
  • Roel E; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
  • Recalde M; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Fernández-Bertolín S; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea.
  • Andryc A; Real-World Evidence, Trial Form Support, Barcelona, Spain.
  • Thomas JA; Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.
  • Wilcox AB; Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.
  • Fortin S; Universitat Autònoma de Barcelona, Spain.
  • Blacketer C; Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.
  • DeFalco F; Janssen R&D, Titusville NJ, USA.
  • Natarajan K; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA.
  • Falconer T; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA.
  • Spotnitz M; UW Medicine, Seattle, WA, USA.
  • Ostropolets A; Observational Health Data Analytics, Janssen Research and Development, Raritan, NJ, USA.
  • Hripcsak G; Janssen R&D, Titusville NJ, USA.
  • Suchard M; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Lynch KE; Janssen R&D, Titusville NJ, USA.
  • Matheny ME; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, USA.
  • Williams A; New York-Presbyterian Hospital, 622 W 168 St, PH20 New York, NY 10032 USA.
  • Reich C; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, USA.
  • Duarte-Salles T; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY 10032, USA.
medRxiv ; 2020 Oct 27.
Article em En | MEDLINE | ID: mdl-33140068
ABSTRACT
Early identification of symptoms and comorbidities most predictive of COVID-19 is critical to identify infection, guide policies to effectively contain the pandemic, and improve health systems' response. Here, we characterised socio-demographics and comorbidity in 3,316,107persons tested and 219,072 persons tested positive for SARS-CoV-2 since January 2020, and their key health outcomes in the month following the first positive test. Routine care data from primary care electronic health records (EHR) from Spain, hospital EHR from the United States (US), and claims data from South Korea and the US were used. The majority of study participants were women aged 18-65 years old. Positive/tested ratio varied greatly geographically (2.2100 to 31.2100) and over time (from 50100 in February-April to 6.8100 in May-June). Fever, cough and dyspnoea were the most common symptoms at presentation. Between 4%-38% required admission and 1-10.5% died within a month from their first positive test. Observed disparity in testing practices led to variable baseline characteristics and outcomes, both nationally (US) and internationally. Our findings highlight the importance of large scale characterization of COVID-19 international cohorts to inform planning and resource allocation including testing as countries face a second wave.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 1_ASSA2030 Problema de saúde: 1_desigualdade_iniquidade / 1_sistemas_informacao_saude Tipo de estudo: Prognostic_studies / Risk_factors_studies Aspecto: Equity_inequality Idioma: En Revista: MedRxiv Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 1_ASSA2030 Problema de saúde: 1_desigualdade_iniquidade / 1_sistemas_informacao_saude Tipo de estudo: Prognostic_studies / Risk_factors_studies Aspecto: Equity_inequality Idioma: En Revista: MedRxiv Ano de publicação: 2020 Tipo de documento: Article
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