Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study

Download
Citations
Altmetric
Author
Burn, E; You, SC; Sena, AG; Kostka, K; Abedtash, H; Abrahao, MTF; Alberga, A; Alghoul, H; Alser, O; Alshammari, TM; ...Date
2020-10-06Source Title
Nature CommunicationsPublisher
NATURE RESEARCHUniversity of Melbourne Author/s
Zhang, LinAffiliation
Medicine Dentistry & Health SciencesMetadata
Show full item recordDocument Type
Journal ArticleCitations
Burn, E., You, S. C., Sena, A. G., Kostka, K., Abedtash, H., Abrahao, M. T. F., Alberga, A., Alghoul, H., Alser, O., Alshammari, T. M., Aragon, M., Areia, C., Banda, J. M., Cho, J., Culhane, A. C., Davydov, A., DeFalco, F. J., Duarte-Salles, T., DuVall, S. ,... Ryan, P. (2020). Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study. NATURE COMMUNICATIONS, 11 (1), https://doi.org/10.1038/s41467-020-18849-z.Access Status
Open AccessAbstract
Comorbid conditions appear to be common among individuals hospitalised with coronavirus disease 2019 (COVID-19) but estimates of prevalence vary and little is known about the prior medication use of patients. Here, we describe the characteristics of adults hospitalised with COVID-19 and compare them with influenza patients. We include 34,128 (US: 8362, South Korea: 7341, Spain: 18,425) COVID-19 patients, summarising between 4811 and 11,643 unique aggregate characteristics. COVID-19 patients have been majority male in the US and Spain, but predominantly female in South Korea. Age profiles vary across data sources. Compared to 84,585 individuals hospitalised with influenza in 2014-19, COVID-19 patients have more typically been male, younger, and with fewer comorbidities and lower medication use. While protecting groups vulnerable to influenza is likely a useful starting point in the response to COVID-19, strategies will likely need to be broadened to reflect the particular characteristics of individuals being hospitalised with COVID-19.
Export Reference in RIS Format
Endnote
- Click on "Export Reference in RIS Format" and choose "open with... Endnote".
Refworks
- Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References