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

Facultad de Medicina

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

38 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Número de artículo	454
Publicación	Scientific data
Volumen	9
N.º	1
DOI	https://doi.org/10.1038/s41597-022-01534-9
Estado	Publicada - 30 jul. 2022

Nota bibliográfica

Publisher Copyright:
© The Author(s) 2022.

Financiación

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

ODS de las Naciones Unidas

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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, 9(1), Artículo 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",

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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, n.º 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.
En: Scientific data, Vol. 9, N.º 1, 454, 30.07.2022.

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

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 - 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

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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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SN - 2052-4463

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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. 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

Resumen

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Financiación

ODS de las Naciones Unidas

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