Mortality in patients admitted to hospital by COVID-19 in Espírito Santo, Brazil, 2020
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , |
Tipo de documento: | preprint |
Idioma: | por |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/1155 |
Resumo: | Objective. To analyze the factors associated with COVID-19 mortality in individuals admitted to hospitals in Espírito Santo, Brazil. Methods. Cross-sectional study. Logistic regression models estimated an association of mortality with sociodemographic, clinical and hospitalization characteristics. Results. Until May 14, 2020, 200 individuals were discharged and 220 died. Of the total number of people studied, 57.1% were male, 46.4% >60 years old, 57.9% notified by a private institution, and 61.7% had >1 comorbidity. Regarding mortality, the age groups from 51 to 60 years old (odds ratio, OR=4.33 – 95%CI 1.50;12.46) and over 60 years (OR=11.84 – 95%CI 4.31;32.54), the notifying institution (OR=8,23 – 95%CI 4.84;13.99) and the number of comorbidities (two [OR=2.74 – 95%CI 1.40;5.34] and three [OR=2,90 – 95%CI 1.07;7.81]). Conclusion. The analysis points to a worsening of the death episode in older individuals, with comorbidities and users of public hospitals. |
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Mortality in patients admitted to hospital by COVID-19 in Espírito Santo, Brazil, 2020Mortalidad en pacientes ingresados en el hospital por COVID-19 en Espírito Santo, Brasil, 2020Fatores associados ao óbito hospitalar por COVID-19 no Espírito Santo, 2020Infecções por CoronavírusHospitalização; Disparidades nos Níveis de SaúdeEstudos TransversaisEpidemiasCoronavirus InfectionsHospitalizationHealth Status DisparitiesCross-Sectional StudiesEpidemicsObjective. To analyze the factors associated with COVID-19 mortality in individuals admitted to hospitals in Espírito Santo, Brazil. Methods. Cross-sectional study. Logistic regression models estimated an association of mortality with sociodemographic, clinical and hospitalization characteristics. Results. Until May 14, 2020, 200 individuals were discharged and 220 died. Of the total number of people studied, 57.1% were male, 46.4% >60 years old, 57.9% notified by a private institution, and 61.7% had >1 comorbidity. Regarding mortality, the age groups from 51 to 60 years old (odds ratio, OR=4.33 – 95%CI 1.50;12.46) and over 60 years (OR=11.84 – 95%CI 4.31;32.54), the notifying institution (OR=8,23 – 95%CI 4.84;13.99) and the number of comorbidities (two [OR=2.74 – 95%CI 1.40;5.34] and three [OR=2,90 – 95%CI 1.07;7.81]). Conclusion. The analysis points to a worsening of the death episode in older individuals, with comorbidities and users of public hospitals.Objetivo. Analisar os fatores associados ao óbito em indivíduos internados por COVID-19 em hospitais do Espírito Santo, Brasil. Métodos. Estudo transversal, com dados secundários. Modelos de regressão logística foram empregados para estimar razões de chance (odds ratio: OR) brutas e ajustadas. Resultados. Até 14 de maio de 2020, 200 indivíduos receberam alta e 220 foram a óbito. Do total de pessoas estudadas, 57,1% eram do sexo masculino, 46,4% maiores de 60 anos de idade, 57,9% foram notificados por instituição privada e 61,7% apresentaram mais de 1 comorbidade. Na análise ajustada, a mortalidade hospitalar foi maior entre aqueles nas faixas etárias de 51 a 60 (OR=4,33 – IC95% 1,50;12,46) e mais de 60 anos (OR=11,84 – IC95% 4,31;32,54), notificados por instituição pública (OR=8,23 – IC95% 4,84;13,99) e com maior número de comorbidades (duas [OR=2,74 – IC95% 1,40;5,34] e três [OR=2,90 – IC95% 1,07;7,81]). Conclusão. Observa-se maior mortalidade em idosos, com comorbidades e usuários de hospitais públicos.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-08-31info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/115510.1590/SciELOPreprints.1155porhttps://preprints.scielo.org/index.php/scielo/article/view/1155/1741Copyright (c) 2020 Ethel Leonor Maciel, Pablo Jabor, Etereldes Goncalves Júnior, Ricardo Tristão-Sá, Rita de Cássia Duarte Lima, Barbara Reis-Santos, Pablo Lira, Elda Coelho Azevedo Bussinguer, Eliana Zandonadehttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMaciel, Ethel LeonorJabor, PabloJúnior, Etereldes GoncalvesTristão-Sá, Ricardo Lima, Rita de Cássia DuarteReis-Santos, Barbara Lira, PabloBussinguer, Elda Coelho AzevedoZandonade, Elianareponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-08-31T01:15:17Zoai:ops.preprints.scielo.org:preprint/1155Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-08-31T01:15:17SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
Mortality in patients admitted to hospital by COVID-19 in Espírito Santo, Brazil, 2020 Mortalidad en pacientes ingresados en el hospital por COVID-19 en Espírito Santo, Brasil, 2020 Fatores associados ao óbito hospitalar por COVID-19 no Espírito Santo, 2020 |
title |
Mortality in patients admitted to hospital by COVID-19 in Espírito Santo, Brazil, 2020 |
spellingShingle |
Mortality in patients admitted to hospital by COVID-19 in Espírito Santo, Brazil, 2020 Maciel, Ethel Leonor Infecções por Coronavírus Hospitalização ; Disparidades nos Níveis de Saúde Estudos Transversais Epidemias Coronavirus Infections Hospitalization Health Status Disparities Cross-Sectional Studies Epidemics |
title_short |
Mortality in patients admitted to hospital by COVID-19 in Espírito Santo, Brazil, 2020 |
title_full |
Mortality in patients admitted to hospital by COVID-19 in Espírito Santo, Brazil, 2020 |
title_fullStr |
Mortality in patients admitted to hospital by COVID-19 in Espírito Santo, Brazil, 2020 |
title_full_unstemmed |
Mortality in patients admitted to hospital by COVID-19 in Espírito Santo, Brazil, 2020 |
title_sort |
Mortality in patients admitted to hospital by COVID-19 in Espírito Santo, Brazil, 2020 |
author |
Maciel, Ethel Leonor |
author_facet |
Maciel, Ethel Leonor Jabor, Pablo Júnior, Etereldes Goncalves Tristão-Sá, Ricardo Lima, Rita de Cássia Duarte Reis-Santos, Barbara Lira, Pablo Bussinguer, Elda Coelho Azevedo Zandonade, Eliana |
author_role |
author |
author2 |
Jabor, Pablo Júnior, Etereldes Goncalves Tristão-Sá, Ricardo Lima, Rita de Cássia Duarte Reis-Santos, Barbara Lira, Pablo Bussinguer, Elda Coelho Azevedo Zandonade, Eliana |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Maciel, Ethel Leonor Jabor, Pablo Júnior, Etereldes Goncalves Tristão-Sá, Ricardo Lima, Rita de Cássia Duarte Reis-Santos, Barbara Lira, Pablo Bussinguer, Elda Coelho Azevedo Zandonade, Eliana |
dc.subject.por.fl_str_mv |
Infecções por Coronavírus Hospitalização ; Disparidades nos Níveis de Saúde Estudos Transversais Epidemias Coronavirus Infections Hospitalization Health Status Disparities Cross-Sectional Studies Epidemics |
topic |
Infecções por Coronavírus Hospitalização ; Disparidades nos Níveis de Saúde Estudos Transversais Epidemias Coronavirus Infections Hospitalization Health Status Disparities Cross-Sectional Studies Epidemics |
description |
Objective. To analyze the factors associated with COVID-19 mortality in individuals admitted to hospitals in Espírito Santo, Brazil. Methods. Cross-sectional study. Logistic regression models estimated an association of mortality with sociodemographic, clinical and hospitalization characteristics. Results. Until May 14, 2020, 200 individuals were discharged and 220 died. Of the total number of people studied, 57.1% were male, 46.4% >60 years old, 57.9% notified by a private institution, and 61.7% had >1 comorbidity. Regarding mortality, the age groups from 51 to 60 years old (odds ratio, OR=4.33 – 95%CI 1.50;12.46) and over 60 years (OR=11.84 – 95%CI 4.31;32.54), the notifying institution (OR=8,23 – 95%CI 4.84;13.99) and the number of comorbidities (two [OR=2.74 – 95%CI 1.40;5.34] and three [OR=2,90 – 95%CI 1.07;7.81]). Conclusion. The analysis points to a worsening of the death episode in older individuals, with comorbidities and users of public hospitals. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-08-31 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/1155 10.1590/SciELOPreprints.1155 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/1155 |
identifier_str_mv |
10.1590/SciELOPreprints.1155 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/1155/1741 |
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https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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