Symptom-based case definitions for COVID-19: Time andgeographical variations for detection at hospital admissionamong 260,000 patients

Detalhes bibliográficos
Autor(a) principal: Baruch, Joaquin
Data de Publicação: 2022
Outros Autores: Rojek, Amanda, Kartsonaki, Christiana, Vijayaraghavan, Bharath K. T., Gonçalves, Bronner P., Pritchard, Mark G., Merson, Laura, Dunning, Jake, Hall, Matthew, Sigfrid, Louise, Citarella, Barbara W., Murthy, Srinivas, Yeabah, Trokon O., Olliaro, Piero, ISARIC Clinical Characterisation Group
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/55634
Resumo: Fernando Augusto Bozza - Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil. Documento produzido em parceria ou por autor vinculado à Fiocruz, mas não consta à informação no documento.
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spelling Baruch, JoaquinRojek, AmandaKartsonaki, ChristianaVijayaraghavan, Bharath K. T.Gonçalves, Bronner P.Pritchard, Mark G.Merson, LauraDunning, JakeHall, MatthewSigfrid, LouiseCitarella, Barbara W.Murthy, SrinivasYeabah, Trokon O.Olliaro, PieroISARIC Clinical Characterisation Group2022-11-16T13:56:17Z2022-11-16T13:56:17Z2022BARUCH, Joaquin et al. Symptom-based case definitions for COVID-19: Time and geographical variations for detection at hospital admission among 260,000 patients. Influenza and Other Respiratory Viruses, n. 16, p. 1040–1050, 2022.1750-2640https://www.arca.fiocruz.br/handle/icict/5563410.1111/irv.13039Fernando Augusto Bozza - Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil. Documento produzido em parceria ou por autor vinculado à Fiocruz, mas não consta à informação no documento.University of Oxford. Pandemic Sciences Institute. ISARIC. Oxford, UK.University of Oxford. Pandemic Sciences Institute. ISARIC. Oxford, UK / University of Melbourne. Centre for Integrated Critical Care. Melbourne, Australia.University of Oxford. Clinical Trials Service Unit and Epidemiological Studies Unit. MRC Population Health Unit. Oxford, UK.Apollo Hospitals. Chennai, India / The George Institute for Global Health. New Delhi, India.University of Oxford. Pandemic Sciences Institute. ISARIC. Oxford, UK.University of Oxford. Pandemic Sciences Institute. ISARIC. Oxford, UK.University of Oxford. Pandemic Sciences Institute. ISARIC. Oxford, UK / University of Oxford. Centre for Tropical Medicine and Global Health. Infectious Diseases Data Observatory. Oxford, UK.University of Oxford. Pandemic Sciences Institute. ISARIC. Oxford, UK.University of Oxford. Big Data Institute. Oxford, UK.University of Oxford. Pandemic Sciences Institute. ISARIC. Oxford, UK.University of Oxford. Pandemic Sciences Institute. ISARIC. Oxford, UK.University of British Columbia. Faculty of Medicine. Vancouver, Canada.University of Oxford. Centre for Tropical Medicine and Global Health. Infectious Diseases Data Observatory. Oxford, UK / National Public Health Institute of Liberia. Paynesville, Liberia.University of Oxford. Pandemic Sciences Institute. ISARIC. Oxford, UK.Introduction: Case definitions are used to guide clinical practice, surveillance and research protocols. However, how they identify COVID-19-hospitalised patients is not fully understood. We analysed the proportion of hospitalised patients with laboratory-confirmed COVID-19, in the ISARIC prospective cohort study database, meeting widely used case definitions. Methods: Patients were assessed using the Centers for Disease Control (CDC), European Centre for Disease Prevention and Control (ECDC), World Health Organization (WHO) and UK Health Security Agency (UKHSA) case definitions by age, region and time. Case fatality ratios (CFRs) and symptoms of those who did and who did not meet the case definitions were evaluated. Patients with incomplete data and non-laboratory-confirmed test result were excluded. Results: A total of 263,218 of the patients (42%) in the ISARIC database were included. Most patients (90.4%) were from Europe arid Central Asia. The proportions of patients meeting the case definitions were 56.8% (WHO), 74.4% (UKHSA), 81.6% (ECDC) and 82.3% (CDC). For each case definition, patients at the extremes of age distribution met the criteria less frequently than those aged 30 to 70 years;geographical and time variations were also observed. Estimated CFRs were similar for the patients who met the case definitions. However, when more patients did riot meet the case definition, the CFR increased. Conclusions: The performance of case definitions might be different in different regions and may change over time. Similarly concerning is the fact that older patients often did not meet case definitions, risking delayed medical care. While epidemiologists must balance their analytics with field applicability, ongoing revision of case definitions is necessary to improve patient care through early diagnosis and limit potential nosocomial spread.engWileySymptom-based case definitions for COVID-19: Time andgeographical variations for detection at hospital admissionamong 260,000 patientsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleCase definitionsCOVID-19Hospitalisationinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; 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dc.title.en_US.fl_str_mv Symptom-based case definitions for COVID-19: Time andgeographical variations for detection at hospital admissionamong 260,000 patients
title Symptom-based case definitions for COVID-19: Time andgeographical variations for detection at hospital admissionamong 260,000 patients
spellingShingle Symptom-based case definitions for COVID-19: Time andgeographical variations for detection at hospital admissionamong 260,000 patients
Baruch, Joaquin
Case definitions
COVID-19
Hospitalisation
title_short Symptom-based case definitions for COVID-19: Time andgeographical variations for detection at hospital admissionamong 260,000 patients
title_full Symptom-based case definitions for COVID-19: Time andgeographical variations for detection at hospital admissionamong 260,000 patients
title_fullStr Symptom-based case definitions for COVID-19: Time andgeographical variations for detection at hospital admissionamong 260,000 patients
title_full_unstemmed Symptom-based case definitions for COVID-19: Time andgeographical variations for detection at hospital admissionamong 260,000 patients
title_sort Symptom-based case definitions for COVID-19: Time andgeographical variations for detection at hospital admissionamong 260,000 patients
author Baruch, Joaquin
author_facet Baruch, Joaquin
Rojek, Amanda
Kartsonaki, Christiana
Vijayaraghavan, Bharath K. T.
Gonçalves, Bronner P.
Pritchard, Mark G.
Merson, Laura
Dunning, Jake
Hall, Matthew
Sigfrid, Louise
Citarella, Barbara W.
Murthy, Srinivas
Yeabah, Trokon O.
Olliaro, Piero
ISARIC Clinical Characterisation Group
author_role author
author2 Rojek, Amanda
Kartsonaki, Christiana
Vijayaraghavan, Bharath K. T.
Gonçalves, Bronner P.
Pritchard, Mark G.
Merson, Laura
Dunning, Jake
Hall, Matthew
Sigfrid, Louise
Citarella, Barbara W.
Murthy, Srinivas
Yeabah, Trokon O.
Olliaro, Piero
ISARIC Clinical Characterisation Group
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Baruch, Joaquin
Rojek, Amanda
Kartsonaki, Christiana
Vijayaraghavan, Bharath K. T.
Gonçalves, Bronner P.
Pritchard, Mark G.
Merson, Laura
Dunning, Jake
Hall, Matthew
Sigfrid, Louise
Citarella, Barbara W.
Murthy, Srinivas
Yeabah, Trokon O.
Olliaro, Piero
ISARIC Clinical Characterisation Group
dc.subject.en.en_US.fl_str_mv Case definitions
COVID-19
Hospitalisation
topic Case definitions
COVID-19
Hospitalisation
description Fernando Augusto Bozza - Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil. Documento produzido em parceria ou por autor vinculado à Fiocruz, mas não consta à informação no documento.
publishDate 2022
dc.date.accessioned.fl_str_mv 2022-11-16T13:56:17Z
dc.date.available.fl_str_mv 2022-11-16T13:56:17Z
dc.date.issued.fl_str_mv 2022
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.citation.fl_str_mv BARUCH, Joaquin et al. Symptom-based case definitions for COVID-19: Time and geographical variations for detection at hospital admission among 260,000 patients. Influenza and Other Respiratory Viruses, n. 16, p. 1040–1050, 2022.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/55634
dc.identifier.issn.en_US.fl_str_mv 1750-2640
dc.identifier.doi.none.fl_str_mv 10.1111/irv.13039
identifier_str_mv BARUCH, Joaquin et al. Symptom-based case definitions for COVID-19: Time and geographical variations for detection at hospital admission among 260,000 patients. Influenza and Other Respiratory Viruses, n. 16, p. 1040–1050, 2022.
1750-2640
10.1111/irv.13039
url https://www.arca.fiocruz.br/handle/icict/55634
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Repositório Institucional da FIOCRUZ (ARCA)
collection Repositório Institucional da FIOCRUZ (ARCA)
bitstream.url.fl_str_mv https://www.arca.fiocruz.br/bitstream/icict/55634/1/license.txt
https://www.arca.fiocruz.br/bitstream/icict/55634/2/Symptom-based_Fernando_Bozza_etal_INI_2022.pdf
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