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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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/cfa5ce1ceb5b40e2835e784a7ff0057c
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spelling	oai:doaj.org-article:cfa5ce1ceb5b40e2835e784a7ff0057c2021-12-02T18:37:28ZDeep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study10.1038/s41467-020-18849-z2041-1723https://doaj.org/article/cfa5ce1ceb5b40e2835e784a7ff0057c2020-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18849-zhttps://doaj.org/toc/2041-1723Detailed 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.Edward BurnSeng Chan YouAnthony G. SenaKristin KostkaHamed AbedtashMaria Tereza F. AbrahãoAmanda AlbergaHeba AlghoulOsaid AlserThamir M. AlshammariMaria AragonCarlos AreiaJuan M. BandaJaehyeong ChoAedin C. CulhaneAlexander DavydovFrank J. DeFalcoTalita Duarte-SallesScott DuVallThomas FalconerSergio Fernandez-BertolinWeihua GaoAsieh GolozarJill HardinGeorge HripcsakVojtech HuserHokyun JeonYonghua JingChi Young JungBenjamin Skov Kaas-HansenDenys KadukSeamus KentYeesuk KimSpyros KolovosJennifer C. E. LaneHyejin LeeKristine E. LynchRupa MakadiaMichael E. MathenyParas P. MehtaDaniel R. MoralesKarthik NatarajanFredrik NybergAnna OstropoletsRae Woong ParkJimyung ParkJose D. PosadaAlbert Prats-UribeGowtham RaoChristian ReichYeunsook RhoPeter RijnbeekLisa M. SchillingMartijn SchuemieNigam H. ShahAzza ShoaibiSeokyoung SongMatthew SpotnitzMarc A. SuchardJoel N. SwerdelDavid VizcayaSalvatore VolpeHaini WenAndrew E. WilliamsBelay B. YimerLin ZhangOleg ZhukDaniel Prieto-AlhambraPatrick RyanNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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
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.
format	article
author	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_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 Portfolio
publishDate	2020
url	https://doaj.org/article/cfa5ce1ceb5b40e2835e784a7ff0057c
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Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study

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