Mortality in patients admitted to hospital by COVID-19 in Espírito Santo, Brazil, 2020

Detalhes bibliográficos
Autor(a) principal: Maciel, Ethel Leonor
Data de Publicação: 2020
Outros Autores: Jabor, Pablo, Júnior, Etereldes Goncalves, Tristão-Sá, Ricardo, Lima, Rita de Cássia Duarte, Reis-Santos, Barbara, Lira, Pablo, Bussinguer, Elda Coelho Azevedo, Zandonade, Eliana
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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spelling 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
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