ISARIC-COVID-19 DATASET: A PROSPECTIVE, STANDARDIZED, GLOBAL DATASET OF PATIENTS HOSPITALIZED WITH COVID-19: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

Mazankowski Heart Institute Ryckaert; ISARIC Collaborator Korten; ISARIC Clinical Characterization Group; The Western Australian COVID-19 Research Response; Long COVID India Etienne

doi:10.1038/s41597-022-01534-9

ISARIC-COVID-19 DATASET: A PROSPECTIVE, STANDARDIZED, GLOBAL DATASET OF PATIENTS HOSPITALIZED WITH COVID-19: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

Mazankowski Heart Institute Ryckaert, ISARIC Collaborator Korten, ISARIC Clinical Characterization Group, The Western Australian COVID-19 Research Response, Long COVID India Etienne

Faculty of Medicine

Research output: Contribution to journal › Article › peer-review

38 Scopus citations

Abstract

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use.

Original language	English
Article number	454
Journal	Scientific data
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41597-022-01534-9
State	Published - 30 Jul 2022

Bibliographical note

Publisher Copyright:
© The Author(s) 2022.

Funding

The investigators acknowledge: This work is part of the Grand Challenges ICODA pilot initiative, delivered by Health Data Research UK and funded by the Bill & Melinda Gates Foundation and the Minderoo Foundation. The philanthropic support of the donors to the University of Oxford\u2019s COVID-19 Research Response Fund; UK Foreign, Commonwealth and Development Office and Wellcome [215091/Z/18/Z and 220757/Z/20/Z]; the Bill & Melinda Gates Foundation [OPP1209135]; the National Institute for Health Research (NIHR; award COCIN-01); the Medical Research Council (MRC; grant MC_PC_19059); the NIHR Health Protection Research Unit (HPRU) in Emerging and Zoonotic Infections at University of Liverpool in partnership with Public Health England (PHE)(award 200907); NIHR HPRU in Respiratory Infections at Imperial College London with PHE (award 200927); Liverpool Experimental Cancer Medicine Centre (grant C18616/A25153); NIHR Biomedical Research Centre at Imperial College London (award IS-BRC-1215-20013); NIHR Clinical Research Network (infrastructure support); CIHR Coronavirus Rapid Research Funding Opportunity OV2170359 and was coordinated out of Sunnybrook Research Institute; the endorsement of the Irish Critical Care-Clinical Trials Group, co-ordinated in Ireland by the Irish Critical Care-Clinical Trials Network at University College Dublin and funded by the Health Research Board of Ireland [CTN-2014-12]; Rapid European COVID-19 Emergency Response research (RECOVER) [H2020 project 101003589]; European Clinical Research Alliance on Infectious Diseases (ECRAID) [965313]; COVID clinical management team, AIIMS, Rishikesh, India; Cambridge NIHR Biomedical Research Centre; the dedication and hard work of the Groote Schuur Hospital Covid ICU Team; the Groote Schuur nursing and University of Cape Town registrar bodies coordinated by the Division of Critical Care at the University of Cape Town; Wellcome Trust fellowship [205228/Z/16/Z]; the Liverpool School of Tropical Medicine; the University of Oxford; the dedication and hard work of the Norwegian SARS-CoV-2 study team; the Research Council of Norway grant no 312780; a philanthropic donation from Vivaldi Invest A/S owned by Jon Stephenson von Tetzchner; Innovative Medicines Initiative Joint Undertaking under Grant Agreement No. 115523 COMBACTE, resources of which are composed of financial contribution from the European Union\u2019s Seventh Framework Programme (FP7/2007\u20132013) and EFPIA companies, in-kind contribution; preparedness work conducted by the Short Period Incidence Study of Severe Acute Respiratory Infection; Stiftungsfonds zur F\u00F6rderung der Bek\u00E4mpfung der Tuberkulose und anderer Lungenkrankheiten of the City of Vienna, Project Number: APCOV22BGM; Italian Ministry of Health \u201CFondi Ricerca corrente\u2013L1P6\u201D to IRCCS Ospedale Sacro Cuore\u2013Don Calabria; Australian Department of Health grant (3273191); Gender Equity Strategic Fund at University of Queensland; Artificial Intelligence for Pandemics (A14PAN) at University of Queensland; the Australian Research Council Centre of Excellence for Engineered Quantum Systems (EQUS, CE170100009); the Prince Charles Hospital Foundation, Australia; UK Medical Research Council Clinical Research Training Fellowship MR/V001671/1; Instituto de Salud Carlos III, Ministerio de Ciencia, Spain; Brazil, National Council for Scientific and Technological Development Scholarship number 303953/2018-7; Firland Foundation, Shoreline, Washington, USA; the French COVID cohort (NCT04262921) is sponsored by INSERM and is funding by the REACTing (REsearch & ACtion emergING infectious diseases) consortium and by a grant of the French Ministry of Health (PHRC n\u00B020-0424). This work uses Data/Material provided by patients and collected by the NHS as part of their care and support #DataSavesLives. The Data/materials used for this research were obtained from ISARIC4C. ISARIC4C Investigators collated the COVID-19 Clinical Information Network (CO-CIN) data. The investigators acknowledge: This work is part of the Grand Challenges ICODA pilot initiative, delivered by Health Data Research UK and funded by the Bill & Melinda Gates Foundation and the Minderoo Foundation. The philanthropic support of the donors to the University of Oxford\u2019s COVID-19 Research Response Fund; UK Foreign, Commonwealth and Development Office and Wellcome [215091/Z/18/Z and 220757/Z/20/Z]; the Bill & Melinda Gates Foundation [OPP1209135]; the National Institute for Health Research (NIHR; award CO-CIN-01); the Medical Research Council (MRC; grant MC_PC_19059); the NIHR Health Protection Research Unit (HPRU) in Emerging and Zoonotic Infections at University of Liverpool in partnership with Public Health England (PHE)(award 200907); NIHR HPRU in Respiratory Infections at Imperial College London with PHE (award 200927); Liverpool Experimental Cancer Medicine Centre (grant C18616/A25153); NIHR Biomedical Research Centre at Imperial College London (award IS-BRC-1215-20013); NIHR Clinical Research Network (infrastructure support); CIHR Coronavirus Rapid Research Funding Opportunity OV2170359 and was coordinated out of Sunnybrook Research Institute; the endorsement of the Irish Critical Care-Clinical Trials Group, co-ordinated in Ireland by the Irish Critical Care-Clinical Trials Network at University College Dublin and funded by the Health Research Board of Ireland [CTN-2014-12]; Rapid European COVID-19 Emergency Response research (RECOVER) [H2020 project 101003589]; European Clinical Research Alliance on Infectious Diseases (ECRAID) [965313]; COVID clinical management team, AIIMS, Rishikesh, India; Cambridge NIHR Biomedical Research Centre; the dedication and hard work of the Groote Schuur Hospital Covid ICU Team; the Groote Schuur nursing and University of Cape Town registrar bodies coordinated by the Division of Critical Care at the University of Cape Town; Wellcome Trust fellowship [205228/Z/16/Z]; the Liverpool School of Tropical Medicine; the University of Oxford; the dedication and hard work of the Norwegian SARS-CoV-2 study team; the Research Council of Norway grant no 312780; a philanthropic donation from Vivaldi Invest A/S owned by Jon Stephenson von Tetzchner; Innovative Medicines Initiative Joint Undertaking under Grant Agreement No. 115523 COMBACTE, resources of which are composed of financial contribution from the European Union\u2019s Seventh Framework Programme (FP7/2007\u20132013) and EFPIA companies, in-kind contribution; preparedness work conducted by the Short Period Incidence Study of Severe Acute Respiratory Infection; Stiftungsfonds zur F\u00F6rderung der Bek\u00E4mpfung der Tuberkulose und anderer Lungenkrankheiten of the City of Vienna, Project Number: APCOV22BGM; Italian Ministry of Health \u201CFondi Ricerca corrente\u2013L1P6\u201D to IRCCS Ospedale Sacro Cuore\u2013Don Calabria; Australian Department of Health grant (3273191); Gender Equity Strategic Fund at University of Queensland; Artificial Intelligence for Pandemics (A14PAN) at University of Queensland; the Australian Research Council Centre of Excellence for Engineered Quantum Systems (EQUS, CE170100009); the Prince Charles Hospital Foundation, Australia; UK Medical Research Council Clinical Research Training Fellowship MR/V001671/1; Instituto de Salud Carlos III, Ministerio de Ciencia, Spain; Brazil, National Council for Scientific and Technological Development Scholarship number 303953/2018-7; Firland Foundation, Shoreline, Washington, USA; the French COVID cohort (NCT04262921) is sponsored by INSERM and is funding by the REACTing (REsearch & ACtion emergING infectious diseases) consortium and by a grant of the French Ministry of Health (PHRC n\u00B020-0424). This work uses Data/Material provided by patients and collected by the NHS as part of their care and support #DataSavesLives. The Data/materials used for this research were obtained from ISARIC4C. ISARIC4C Investigators collated the COVID-19 Clinical Information Network (CO-CIN) data.

Funders	Funder number
Minderoo Foundation
Seventh Framework Programme
Instituto de Salud Carlos III
Institut national de la santé et de la recherche médicale
Artificial Intelligence for Pandemics
Italian Ministry of Health “Fondi Ricerca corrente
Ministère des Affaires Sociales et de la Santé
Groote Schuur Hospital Covid ICU Team
National Institute for Health Research Health Protection Research Unit
University of Queensland
University of Cape Town
Liverpool School of Tropical Medicine
Bill and Melinda Gates Foundation
Jon Stephenson von Tetzchner
Manchester Biomedical Research Centre
University of Oxford
HPRU
NIHR Clinical Research Network
Foreign, Commonwealth and Development Office
Wellcome Trust	220757/Z/20/Z, 220757, 215091/Z/18/Z, OPP1209135, 205228/Z/16/Z, 205228
Firland Foundation	NCT04262921
Horizon 2020 Framework Programme	825715, 101003589
Australian Department of Health	3273191
Norges Forskningsråd	312780
Innovative Medicines Initiative	115523
European Clinical Research Alliance on Infectious Diseases	965313
Australian Research Council	CE170100009
Medical Research Council	MC_PC_19059
National Institute for Health and Care Research	COCIN-01
European Commission	602525
Ministerio de Ciencia	303953/2018-7
Public Health England	200907
PHRC	20-0424
Imperial Experimental Cancer Medicine Centre	C18616/A25153
European Federation of Pharmaceutical Industries and Associations	APCOV22BGM
National Institute of General Medical Sciences	T32GM112596
Prince Charles Hospital Foundation	MR/V001671/1
NIHR Biomedical Research Centre at Imperial College London	IS-BRC-1215-20013
Canadian Institutes of Health Research	OV2170359
Imperial College London	200927
Health Research Board	CTN-2014-12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1038/s41597-022-01534-9

Cite this

Mazankowski Heart Institute Ryckaert, ISARIC Collaborator Korten, ISARIC Clinical Characterization Group, The Western Australian COVID-19 Research Response, & Long COVID India Etienne (2022). ISARIC-COVID-19 DATASET: A PROSPECTIVE, STANDARDIZED, GLOBAL DATASET OF PATIENTS HOSPITALIZED WITH COVID-19: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19. Scientific data, 9(1), Article 454. https://doi.org/10.1038/s41597-022-01534-9

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title = "ISARIC-COVID-19 DATASET: A PROSPECTIVE, STANDARDIZED, GLOBAL DATASET OF PATIENTS HOSPITALIZED WITH COVID-19: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19",

abstract = "The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use.",

author = "{Mazankowski Heart Institute Ryckaert} and {ISARIC Collaborator Korten} and {ISARIC Clinical Characterization Group} and {The Western Australian COVID-19 Research Response} and {Long COVID India Etienne} and Esteban Garcia-Gallo and Laura Merson and Kalynn Kennon and Sadie Kelly and Citarella, {Barbara Wanjiru} and Fryer, {Daniel Vidali} and Sally Shrapnel and James Lee and Sara Duque and Fuentes, {Yuli V.} and Valeria Balan and Sue Smith and Jia Wei and Gon{\c c}alves, {Bronner P.} and Russell, {Clark D.} and Louise Sigfrid and Andrew Dagens and Olliaro, {Piero L.} and Joaquin Baruch and Christiana Kartsonaki and Jake Dunning and Amanda Rojek and Aasiyah Rashan and Abi Beane and Srinivas Murthy and Reyes, {Luis Felipe} and Ali Abbas and Abdukahil, {Sheryl Ann} and Abdulkadir, {Nurul Najmee} and Ryuzo Abe and Laurent Abel and Lara Absil and Jabal, {Kamal Abu} and Zayyad, {Hiba Abu} and Subhash Acharya and Andrew Acker and Shingo Adachi and Elisabeth Adam and Enrico Adriano and Diana Adri{\~a}o and Ageel, {Saleh Al} and Shakeel Ahmed and Marina Aiello and Kate Ainscough and Eka Airlangga and Tharwat Aisa and Hssain, {Ali Ait} and Tamlihat, {Younes Ait} and Ruth Jimbo-Sotomayor and Choez, {Xavier S{\'a}nchez}",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2022.",

year = "2022",

month = jul,

day = "30",

doi = "10.1038/s41597-022-01534-9",

language = "English",

volume = "9",

journal = "Scientific data",

issn = "2052-4463",

publisher = "Nature Publishing Group",

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Mazankowski Heart Institute Ryckaert, ISARIC Collaborator Korten, ISARIC Clinical Characterization Group, The Western Australian COVID-19 Research Response & Long COVID India Etienne 2022, 'ISARIC-COVID-19 DATASET: A PROSPECTIVE, STANDARDIZED, GLOBAL DATASET OF PATIENTS HOSPITALIZED WITH COVID-19: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19', Scientific data, vol. 9, no. 1, 454. https://doi.org/10.1038/s41597-022-01534-9

ISARIC-COVID-19 DATASET: A PROSPECTIVE, STANDARDIZED, GLOBAL DATASET OF PATIENTS HOSPITALIZED WITH COVID-19: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19. / Mazankowski Heart Institute Ryckaert; ISARIC Collaborator Korten; ISARIC Clinical Characterization Group et al.
In: Scientific data, Vol. 9, No. 1, 454, 30.07.2022.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - ISARIC-COVID-19 DATASET: A PROSPECTIVE, STANDARDIZED, GLOBAL DATASET OF PATIENTS HOSPITALIZED WITH COVID-19

T2 - A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

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AU - Long COVID India Etienne

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AU - Citarella, Barbara Wanjiru

AU - Fryer, Daniel Vidali

AU - Shrapnel, Sally

AU - Lee, James

AU - Duque, Sara

AU - Fuentes, Yuli V.

AU - Balan, Valeria

AU - Smith, Sue

AU - Wei, Jia

AU - Gonçalves, Bronner P.

AU - Russell, Clark D.

AU - Sigfrid, Louise

AU - Dagens, Andrew

AU - Olliaro, Piero L.

AU - Baruch, Joaquin

AU - Kartsonaki, Christiana

AU - Dunning, Jake

AU - Rojek, Amanda

AU - Rashan, Aasiyah

AU - Beane, Abi

AU - Murthy, Srinivas

AU - Reyes, Luis Felipe

AU - Abbas, Ali

AU - Abdukahil, Sheryl Ann

AU - Abdulkadir, Nurul Najmee

AU - Abe, Ryuzo

AU - Abel, Laurent

AU - Absil, Lara

AU - Jabal, Kamal Abu

AU - Zayyad, Hiba Abu

AU - Acharya, Subhash

AU - Acker, Andrew

AU - Adachi, Shingo

AU - Adam, Elisabeth

AU - Adriano, Enrico

AU - Adrião, Diana

AU - Ageel, Saleh Al

AU - Ahmed, Shakeel

AU - Aiello, Marina

AU - Ainscough, Kate

AU - Airlangga, Eka

AU - Aisa, Tharwat

AU - Hssain, Ali Ait

AU - Tamlihat, Younes Ait

AU - Jimbo-Sotomayor, Ruth

AU - Choez, Xavier Sánchez

PY - 2022/7/30

Y1 - 2022/7/30

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AB - The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use.

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DO - 10.1038/s41597-022-01534-9

M3 - Article

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AN - SCOPUS:85135223433

SN - 2052-4463

VL - 9

JO - Scientific data

JF - Scientific data

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ER -

Mazankowski Heart Institute Ryckaert, ISARIC Collaborator Korten, ISARIC Clinical Characterization Group, The Western Australian COVID-19 Research Response, Long COVID India Etienne. ISARIC-COVID-19 DATASET: A PROSPECTIVE, STANDARDIZED, GLOBAL DATASET OF PATIENTS HOSPITALIZED WITH COVID-19: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19. Scientific data. 2022 Jul 30;9(1):454. doi: 10.1038/s41597-022-01534-9

ISARIC-COVID-19 DATASET: A PROSPECTIVE, STANDARDIZED, GLOBAL DATASET OF PATIENTS HOSPITALIZED WITH COVID-19: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

Abstract

Bibliographical note

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UN SDGs

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