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An international characterisation of patients hospitalised with COVID-19 and a comparison with those previously hospitalised with influenza.
medRxiv. 2020 Apr 25M

Abstract

Background

To better understand the profile of individuals with severe coronavirus disease 2019 (COVID-19), we characterised individuals hospitalised with COVID-19 and compared them to individuals previously hospitalised with influenza.

Methods

We report the characteristics (demographics, prior conditions and medication use) of patients hospitalised with COVID-19 between December 2019 and April 2020 in the US (Columbia University Irving Medical Center [CUIMC], STAnford Medicine Research data Repository [STARR-OMOP], and the Department of Veterans Affairs [VA OMOP]) and Health Insurance Review & Assessment [HIRA] of South Korea. Patients hospitalised with COVID-19 were compared with patients previously hospitalised with influenza in 2014-19.

Results

6,806 (US: 1,634, South Korea: 5,172) individuals hospitalised with COVID-19 were included. Patients in the US were majority male (VA OMOP: 94%, STARR-OMOP: 57%, CUIMC: 52%), but were majority female in HIRA (56%). Age profiles varied across data sources. Prevalence of asthma ranged from 7% to 14%, diabetes from 18% to 43%, and hypertensive disorder from 22% to 70% across data sources, while between 9% and 39% were taking drugs acting on the renin-angiotensin system in the 30 days prior to their hospitalisation. Compared to 52,422 individuals hospitalised with influenza, patients admitted with COVID-19 were more likely male, younger, and, in the US, had fewer comorbidities and lower medication use.

Conclusions

Rates of comorbidities and medication use are high among individuals hospitalised with COVID-19. However, COVID-19 patients are more likely to be male and appear to be younger and, in the US, generally healthier than those typically admitted with influenza.

Authors+Show Affiliations

Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Spain. Centre for Statistics in Medicine (CSM), Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDROMS), University of Oxford, UK.Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.Janssen Research and Development, Titusville, NJ, US. Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands.Real World Solutions, IQVIA, Cambridge, MA, US.Eli Lilly and Company, Indianapolis, IN, US.Faculty of Medicine, University of Sao Paulo, Sao Paulo, Brazil.Observational Health Data Sciences and Informatics Network, Alberta, Canada.Faculty of Medicine, Islamic University of Gaza, Palestine.Massachusetts General Hospital, Harvard Medical School, Boston, US.Medication Safety Research Chair, King Saud University, Saudi Arabia.Nuffield Department of Clinical Neurosciences, University of Oxford, UK.Department of Computer Science, Georgia State University, Atlanta, GA, US.Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.Data Sciences, Dana-Farber Cancer Institute. Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, US.Odysseus Data Services, Inc., MA, Cambridge, US. Department for Microbiology, Virology and Immunology, Belarusian State Medical University, Minsk, Belarus.Janssen Research and Development, Titusville, NJ, US.Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Spain.Department of Veterans Affairs, Salt Lake City, UT, US. University of Utah School of Medicine, Salt Lake City, UT, US.Department of Biomedical Informatics, Columbia University, New York, NY, US.Health Economics and Outcomes Research, AbbVie, North Chicago, US.Pharmacoepidemiology, Regeneron, NY, US. Department of Epidemiology, Johns Hopkins School of Public, Baltimore, MD, US.Janssen Research and Development, Titusville, NJ, US.Department of Biomedical Informatics, Columbia University, New York, NY, US. New York-Presbyterian Hospital, New York, NY, US.National Library of Medicine, National Institutes of Health, MD, US.Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.Health Economics and Outcomes Research, AbbVie, North Chicago, US.Division of respiratory and critical care medicine, Department of Internal medicine, Daegu Catholic University Medical Center, Korea.Clinical Pharmacology Unit, Zealand University Hospital, Denmark. NNF Centre for Protein Research, Unversity of Copenhagen, Denmark.Odysseus Data Services, Inc., MA, Cambridge, US. Department of Pediatrics Nº 2, V. N. Karazin Kharkiv National University, Kharkiv, Ukraine.Science Policy and Research, National Institute for Health and Care Excellence, UK.Department of Orthopaedic Surgery, College of Medicine, Hanyang University, Seoul, Korea.Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDROMS), University of Oxford, UK.Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDROMS), University of Oxford, UK.Bigdata Department, Health Insurance Review & Assessment Service, Korea.Department of Veterans Affairs, Salt Lake City, UT, US. University of Utah School of Medicine, Salt Lake City, UT, US.Janssen Research and Development, Titusville, NJ, US.GRECC, Tennessee Valley Healthcare System VA, Nashville, US. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, US.College of Medicine-Tucson, University of Arizona, US.Division of Population Health and Genomics, University of Dundee, UK.Department of Biomedical Informatics, Columbia University, New York, NY, US. New York-Presbyterian Hospital, New York, NY, US.School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.Department of Biomedical Informatics, Columbia University, New York, NY, US.Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea. Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea.Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea.Department of Medicine, School of Medicine, Stanford University, US.Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDROMS), University of Oxford, UK.Janssen Research and Development, Titusville, NJ, US.Real World Solutions, IQVIA, Cambridge, MA, US.Bigdata Department, Health Insurance Review & Assessment Service, Korea.Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands.Saw Swee Hock School of Public Health, National University of Singapore, Singapore.Data Science to Patient Value Program, Department of Medicine, University of Colorado Anschutz Medical Campus, US.Janssen Research and Development, Titusville, NJ, US. Department of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, US.Department of Medicine, School of Medicine, Stanford University, US.Janssen Research and Development, Titusville, NJ, US.Department of Anesthesiology and Pain Medicine, Catholic University of Daegu, School of medicine, Korea.Department of Biomedical Informatics, Columbia University, New York, NY, US.Department of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, US.Janssen Research and Development, Titusville, NJ, US.Bayer Pharmaceuticals, Barcelona, Spain.Department of Biomedical Informatics, Columbia University, New York, NY, US.Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.Tufts Institute for Clinical Research and Health Policy Studies, US.Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, The University of Manchester, UK.School of Public Health, Peking Union Medical College, Chinese Academy of Medical Sciences, China. Melbourne School of Population and Global Health, The University of Melbourne, Australia.Odysseus Data Services, Inc., MA, Cambridge, US.Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Spain. Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDROMS), University of Oxford, UK.Janssen Research and Development, Titusville, NJ, US. Columbia University, New York, NY, US.

Pub Type(s)

Preprint

Language

eng

PubMed ID

32511443

Citation

Burn, Edward, et al. "An International Characterisation of Patients Hospitalised With COVID-19 and a Comparison With Those Previously Hospitalised With Influenza." MedRxiv : the Preprint Server for Health Sciences, 2020.
Burn E, You SC, Sena AG, et al. An international characterisation of patients hospitalised with COVID-19 and a comparison with those previously hospitalised with influenza. medRxiv. 2020.
Burn, E., You, S. C., Sena, A. G., Kostka, K., Abedtash, H., Abrahão, M. T. F., Alberga, A., Alghoul, H., Alser, O., Alshammari, T. M., Areia, C., Banda, J. M., Cho, J., Culhane, A. C., Davydov, A., DeFalco, F. J., Duarte-Salles, T., DuVall, S., Falconer, T., ... Ryan, P. (2020). An international characterisation of patients hospitalised with COVID-19 and a comparison with those previously hospitalised with influenza. MedRxiv : the Preprint Server for Health Sciences. https://doi.org/10.1101/2020.04.22.20074336
Burn E, et al. An International Characterisation of Patients Hospitalised With COVID-19 and a Comparison With Those Previously Hospitalised With Influenza. medRxiv. 2020 Apr 25; PubMed PMID: 32511443.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - An international characterisation of patients hospitalised with COVID-19 and a comparison with those previously hospitalised with influenza. AU - Burn,Edward, AU - You,Seng Chan, AU - Sena,Anthony G, AU - Kostka,Kristin, AU - Abedtash,Hamed, AU - Abrahão,Maria Tereza F, AU - Alberga,Amanda, AU - Alghoul,Heba, AU - Alser,Osaid, AU - Alshammari,Thamir M, AU - Areia,Carlos, AU - Banda,Juan M, AU - Cho,Jaehyeong, AU - Culhane,Aedin C, AU - Davydov,Alexander, AU - DeFalco,Frank J, AU - Duarte-Salles,Talita, AU - DuVall,Scott, AU - Falconer,Thomas, AU - Gao,Weihua, AU - Golozar,Asieh, AU - Hardin,Jill, AU - Hripcsak,George, AU - Huser,Vojtech, AU - Jeon,Hokyun, AU - Jing,Yonghua, AU - Jung,Chi Young, AU - Kaas-Hansen,Benjamin Skov, AU - Kaduk,Denys, AU - Kent,Seamus, AU - Kim,Yeesuk, AU - Kolovos,Spyros, AU - Lane,Jennifer C E, AU - Lee,Hyejin, AU - Lynch,Kristine E, AU - Makadia,Rupa, AU - Matheny,Michael E, AU - Mehta,Paras, AU - Morales,Daniel R, AU - Natarajan,Karthik, AU - Nyberg,Fredrik, AU - Ostropolets,Anna, AU - Park,Rae Woong, AU - Park,Jimyung, AU - Posada,Jose D, AU - Prats-Uribe,Albert, AU - Rao,Gowtham, AU - Reich,Christian, AU - Rho,Yeunsook, AU - Rijnbeek,Peter, AU - Sathappan,Selva Muthu Kumaran, AU - Schilling,Lisa M, AU - Schuemie,Martijn, AU - Shah,Nigam H, AU - Shoaibi,Azza, AU - Song,Seokyoung, AU - Spotnitz,Matthew, AU - Suchard,Marc A, AU - Swerdel,Joel N, AU - Vizcaya,David, AU - Volpe,Salvatore, AU - Wen,Haini, AU - Williams,Andrew E, AU - Yimer,Belay B, AU - Zhang,Lin, AU - Zhuk,Oleg, AU - Prieto-Alhambra,Daniel, AU - Ryan,Patrick, Y1 - 2020/04/25/ PY - 2020/6/9/entrez PY - 2020/6/9/pubmed PY - 2020/6/9/medline JF - medRxiv : the preprint server for health sciences JO - medRxiv N2 - Background: To better understand the profile of individuals with severe coronavirus disease 2019 (COVID-19), we characterised individuals hospitalised with COVID-19 and compared them to individuals previously hospitalised with influenza. Methods: We report the characteristics (demographics, prior conditions and medication use) of patients hospitalised with COVID-19 between December 2019 and April 2020 in the US (Columbia University Irving Medical Center [CUIMC], STAnford Medicine Research data Repository [STARR-OMOP], and the Department of Veterans Affairs [VA OMOP]) and Health Insurance Review & Assessment [HIRA] of South Korea. Patients hospitalised with COVID-19 were compared with patients previously hospitalised with influenza in 2014-19. Results: 6,806 (US: 1,634, South Korea: 5,172) individuals hospitalised with COVID-19 were included. Patients in the US were majority male (VA OMOP: 94%, STARR-OMOP: 57%, CUIMC: 52%), but were majority female in HIRA (56%). Age profiles varied across data sources. Prevalence of asthma ranged from 7% to 14%, diabetes from 18% to 43%, and hypertensive disorder from 22% to 70% across data sources, while between 9% and 39% were taking drugs acting on the renin-angiotensin system in the 30 days prior to their hospitalisation. Compared to 52,422 individuals hospitalised with influenza, patients admitted with COVID-19 were more likely male, younger, and, in the US, had fewer comorbidities and lower medication use. Conclusions: Rates of comorbidities and medication use are high among individuals hospitalised with COVID-19. However, COVID-19 patients are more likely to be male and appear to be younger and, in the US, generally healthier than those typically admitted with influenza. UR - https://www.unboundmedicine.com/medline/citation/32511443/An_international_characterisation_of_patients_hospitalised_with_COVID-19_and_a_comparison_with_those_previously_hospitalised_with_influenza L2 - https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/32511443/ DB - PRIME DP - Unbound Medicine ER -
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