Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Burn, Edward, You, Seng Chan, Sena, Anthony G., Kostka, Kristin, Abedtash, Hamed, Abrahão, Maria Tereza F., Alberga, Amanda, Alghoul, Heba, Alser, Osaid, Alshammari, Thamir M., Aragon, Maria, Areia, Carlos, Banda, Juan M., Cho, Jaehyeong, Culhane, Aedin C., Davydov, Alexander, DeFalco, Frank J., Duarte-Salles, Talita, DuVall, Scott, Falconer, Thomas, Fernandez-Bertolin, Sergio, Gao, Weihua, Golozar, Asieh, Hardin, Jill, Hripcsak, George, Huser, Vojtech, Jeon, Hokyun, Jing, Yonghua, Jung, Chi Young, Kaas-Hansen, Benjamin Skov, Kaduk, Denys, Kent, Seamus, Kim, Yeesuk, Kolovos, Spyros, Lane, Jennifer C. E., Lee, Hyejin, Lynch, Kristine E., Makadia, Rupa, Matheny, Michael E., Mehta, Paras P., Morales, Daniel R., Natarajan, Karthik, Nyberg, Fredrik, Ostropolets, Anna, Park, Rae Woong, Park, Jimyung, Posada, Jose D., Prats-Uribe, Albert, Rao, Gowtham, Reich, Christian, Rho, Yeunsook, Rijnbeek, Peter, Schilling, Lisa M., Schuemie, Martijn, Shah, Nigam H., Shoaibi, Azza, Song, Seokyoung, Spotnitz, Matthew, Suchard, Marc A., Swerdel, Joel N., Vizcaya, David, Volpe, Salvatore, Wen, Haini, Williams, Andrew E., Yimer, Belay B., Zhang, Lin, Zhuk, Oleg, Prieto-Alhambra, Daniel, Ryan, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538555/
https://www.ncbi.nlm.nih.gov/pubmed/33024121
http://dx.doi.org/10.1038/s41467-020-18849-z
_version_ 1783590888261287936
author Burn, Edward
You, Seng Chan
Sena, Anthony G.
Kostka, Kristin
Abedtash, Hamed
Abrahão, Maria Tereza F.
Alberga, Amanda
Alghoul, Heba
Alser, Osaid
Alshammari, Thamir M.
Aragon, Maria
Areia, Carlos
Banda, Juan M.
Cho, Jaehyeong
Culhane, Aedin C.
Davydov, Alexander
DeFalco, Frank J.
Duarte-Salles, Talita
DuVall, Scott
Falconer, Thomas
Fernandez-Bertolin, Sergio
Gao, Weihua
Golozar, Asieh
Hardin, Jill
Hripcsak, George
Huser, Vojtech
Jeon, Hokyun
Jing, Yonghua
Jung, Chi Young
Kaas-Hansen, Benjamin Skov
Kaduk, Denys
Kent, Seamus
Kim, Yeesuk
Kolovos, Spyros
Lane, Jennifer C. E.
Lee, Hyejin
Lynch, Kristine E.
Makadia, Rupa
Matheny, Michael E.
Mehta, Paras P.
Morales, Daniel R.
Natarajan, Karthik
Nyberg, Fredrik
Ostropolets, Anna
Park, Rae Woong
Park, Jimyung
Posada, Jose D.
Prats-Uribe, Albert
Rao, Gowtham
Reich, Christian
Rho, Yeunsook
Rijnbeek, Peter
Schilling, Lisa M.
Schuemie, Martijn
Shah, Nigam H.
Shoaibi, Azza
Song, Seokyoung
Spotnitz, Matthew
Suchard, Marc A.
Swerdel, Joel N.
Vizcaya, David
Volpe, Salvatore
Wen, Haini
Williams, Andrew E.
Yimer, Belay B.
Zhang, Lin
Zhuk, Oleg
Prieto-Alhambra, Daniel
Ryan, Patrick
author_facet Burn, Edward
You, Seng Chan
Sena, Anthony G.
Kostka, Kristin
Abedtash, Hamed
Abrahão, Maria Tereza F.
Alberga, Amanda
Alghoul, Heba
Alser, Osaid
Alshammari, Thamir M.
Aragon, Maria
Areia, Carlos
Banda, Juan M.
Cho, Jaehyeong
Culhane, Aedin C.
Davydov, Alexander
DeFalco, Frank J.
Duarte-Salles, Talita
DuVall, Scott
Falconer, Thomas
Fernandez-Bertolin, Sergio
Gao, Weihua
Golozar, Asieh
Hardin, Jill
Hripcsak, George
Huser, Vojtech
Jeon, Hokyun
Jing, Yonghua
Jung, Chi Young
Kaas-Hansen, Benjamin Skov
Kaduk, Denys
Kent, Seamus
Kim, Yeesuk
Kolovos, Spyros
Lane, Jennifer C. E.
Lee, Hyejin
Lynch, Kristine E.
Makadia, Rupa
Matheny, Michael E.
Mehta, Paras P.
Morales, Daniel R.
Natarajan, Karthik
Nyberg, Fredrik
Ostropolets, Anna
Park, Rae Woong
Park, Jimyung
Posada, Jose D.
Prats-Uribe, Albert
Rao, Gowtham
Reich, Christian
Rho, Yeunsook
Rijnbeek, Peter
Schilling, Lisa M.
Schuemie, Martijn
Shah, Nigam H.
Shoaibi, Azza
Song, Seokyoung
Spotnitz, Matthew
Suchard, Marc A.
Swerdel, Joel N.
Vizcaya, David
Volpe, Salvatore
Wen, Haini
Williams, Andrew E.
Yimer, Belay B.
Zhang, Lin
Zhuk, Oleg
Prieto-Alhambra, Daniel
Ryan, Patrick
author_sort Burn, Edward
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7538555
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-75385552020-10-19 Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study Burn, Edward You, Seng Chan Sena, Anthony G. Kostka, Kristin Abedtash, Hamed Abrahão, Maria Tereza F. Alberga, Amanda Alghoul, Heba Alser, Osaid Alshammari, Thamir M. Aragon, Maria Areia, Carlos Banda, Juan M. Cho, Jaehyeong Culhane, Aedin C. Davydov, Alexander DeFalco, Frank J. Duarte-Salles, Talita DuVall, Scott Falconer, Thomas Fernandez-Bertolin, Sergio Gao, Weihua Golozar, Asieh Hardin, Jill Hripcsak, George Huser, Vojtech Jeon, Hokyun Jing, Yonghua Jung, Chi Young Kaas-Hansen, Benjamin Skov Kaduk, Denys Kent, Seamus Kim, Yeesuk Kolovos, Spyros Lane, Jennifer C. E. Lee, Hyejin Lynch, Kristine E. Makadia, Rupa Matheny, Michael E. Mehta, Paras P. Morales, Daniel R. Natarajan, Karthik Nyberg, Fredrik Ostropolets, Anna Park, Rae Woong Park, Jimyung Posada, Jose D. Prats-Uribe, Albert Rao, Gowtham Reich, Christian Rho, Yeunsook Rijnbeek, Peter Schilling, Lisa M. Schuemie, Martijn Shah, Nigam H. Shoaibi, Azza Song, Seokyoung Spotnitz, Matthew Suchard, Marc A. Swerdel, Joel N. Vizcaya, David Volpe, Salvatore Wen, Haini Williams, Andrew E. Yimer, Belay B. Zhang, Lin Zhuk, Oleg Prieto-Alhambra, Daniel Ryan, Patrick Nat Commun Article 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. Nature Publishing Group UK 2020-10-06 /pmc/articles/PMC7538555/ /pubmed/33024121 http://dx.doi.org/10.1038/s41467-020-18849-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Burn, Edward
You, Seng Chan
Sena, Anthony G.
Kostka, Kristin
Abedtash, Hamed
Abrahão, Maria Tereza F.
Alberga, Amanda
Alghoul, Heba
Alser, Osaid
Alshammari, Thamir M.
Aragon, Maria
Areia, Carlos
Banda, Juan M.
Cho, Jaehyeong
Culhane, Aedin C.
Davydov, Alexander
DeFalco, Frank J.
Duarte-Salles, Talita
DuVall, Scott
Falconer, Thomas
Fernandez-Bertolin, Sergio
Gao, Weihua
Golozar, Asieh
Hardin, Jill
Hripcsak, George
Huser, Vojtech
Jeon, Hokyun
Jing, Yonghua
Jung, Chi Young
Kaas-Hansen, Benjamin Skov
Kaduk, Denys
Kent, Seamus
Kim, Yeesuk
Kolovos, Spyros
Lane, Jennifer C. E.
Lee, Hyejin
Lynch, Kristine E.
Makadia, Rupa
Matheny, Michael E.
Mehta, Paras P.
Morales, Daniel R.
Natarajan, Karthik
Nyberg, Fredrik
Ostropolets, Anna
Park, Rae Woong
Park, Jimyung
Posada, Jose D.
Prats-Uribe, Albert
Rao, Gowtham
Reich, Christian
Rho, Yeunsook
Rijnbeek, Peter
Schilling, Lisa M.
Schuemie, Martijn
Shah, Nigam H.
Shoaibi, Azza
Song, Seokyoung
Spotnitz, Matthew
Suchard, Marc A.
Swerdel, Joel N.
Vizcaya, David
Volpe, Salvatore
Wen, Haini
Williams, Andrew E.
Yimer, Belay B.
Zhang, Lin
Zhuk, Oleg
Prieto-Alhambra, Daniel
Ryan, Patrick
Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538555/
https://www.ncbi.nlm.nih.gov/pubmed/33024121
http://dx.doi.org/10.1038/s41467-020-18849-z
work_keys_str_mv AT burnedward deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT yousengchan deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT senaanthonyg deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT kostkakristin deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT abedtashhamed deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT abrahaomariaterezaf deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT albergaamanda deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT alghoulheba deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT alserosaid deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT alshammarithamirm deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT aragonmaria deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT areiacarlos deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT bandajuanm deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT chojaehyeong deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT culhaneaedinc deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT davydovalexander deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT defalcofrankj deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT duartesallestalita deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT duvallscott deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT falconerthomas deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT fernandezbertolinsergio deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT gaoweihua deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT golozarasieh deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT hardinjill deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT hripcsakgeorge deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT huservojtech deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT jeonhokyun deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT jingyonghua deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT jungchiyoung deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT kaashansenbenjaminskov deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT kadukdenys deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT kentseamus deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT kimyeesuk deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT kolovosspyros deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT lanejenniferce deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT leehyejin deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT lynchkristinee deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT makadiarupa deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT mathenymichaele deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT mehtaparasp deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT moralesdanielr deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT natarajankarthik deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT nybergfredrik deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT ostropoletsanna deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT parkraewoong deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT parkjimyung deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT posadajosed deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT pratsuribealbert deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT raogowtham deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT reichchristian deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT rhoyeunsook deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT rijnbeekpeter deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT schillinglisam deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT schuemiemartijn deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT shahnigamh deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT shoaibiazza deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT songseokyoung deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT spotnitzmatthew deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT suchardmarca deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT swerdeljoeln deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT vizcayadavid deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT volpesalvatore deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT wenhaini deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT williamsandrewe deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT yimerbelayb deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT zhanglin deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT zhukoleg deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT prietoalhambradaniel deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy
AT ryanpatrick deepphenotypingof34128adultpatientshospitalisedwithcovid19inaninternationalnetworkstudy