COVID-19: unidades de terapia intensiva, ventiladores mecânicos e perfis latentes de mortalidade associados à letalidade no Brasil
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/41292 |
Resumo: | In response to the accelerated increase in the number of COVID-19 cases, countries must increase their supply of beds in intensive care units (ICUs). Respiratory diseases, neoplasms, cardiopathies and hypertension, and diabetes are associated with higher COVID-19 case-fatality. The study aimed to identify the regions of Brazil with higher specific mortality rates from these comorbidities and the regions with the greatest shortage of ICU beds and mechanical ventilators. A cross-sectional ecological study was performed in which the units of analysis were the country’s Health Regions. Data were obtained from Brazilian Health Informatics Department – DATASUS (National Registry of Healthcare Establishments – 2019, Mortality Information Systems – 2017, and Population Projections – 2017). We calculated the disease group-specific mortality rates for hypertension, neoplasms, diabetes, cardiac diseases, respiratory diseases and the rates of total ICU beds, private ICU beds, ICU beds in the Brazilian Unified National Health System (SUS), and ventilators in the SUS, per 100,000 inhabitants. The mortality profile was determined by latent profiles analysis, and the cluster analysis of ICU beds and ventilators used the spatial scan method. Kernel maps were constructed for the data’s visualization. Level of significance was set at 5%. Four latent mortality profiles were observed. The Health Regions with the highest mean mortality rates were located in regions with shortages of ICU beds and ventilators, especially in parts of the Northeast, Southeast, and South of Brazil. The spatial localization of regions with both the highest mortality and shortages of ICU beds/ventilators requires attention by policymakers and public planners to deal efficiently and fairly with the COVID-19 epidemic in Brazil |
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COVID-19: unidades de terapia intensiva, ventiladores mecânicos e perfis latentes de mortalidade associados à letalidade no BrasilCOVID-19: intensive care units, mechanical ventilators, and latent mortality profiles associated with case-fatality in BrazilUnidades de Terapia IntensivaVentiladores mecânicosMortalidadeIntensive Care UnitsMechanical ventilatorsMortalityIn response to the accelerated increase in the number of COVID-19 cases, countries must increase their supply of beds in intensive care units (ICUs). Respiratory diseases, neoplasms, cardiopathies and hypertension, and diabetes are associated with higher COVID-19 case-fatality. The study aimed to identify the regions of Brazil with higher specific mortality rates from these comorbidities and the regions with the greatest shortage of ICU beds and mechanical ventilators. A cross-sectional ecological study was performed in which the units of analysis were the country’s Health Regions. Data were obtained from Brazilian Health Informatics Department – DATASUS (National Registry of Healthcare Establishments – 2019, Mortality Information Systems – 2017, and Population Projections – 2017). We calculated the disease group-specific mortality rates for hypertension, neoplasms, diabetes, cardiac diseases, respiratory diseases and the rates of total ICU beds, private ICU beds, ICU beds in the Brazilian Unified National Health System (SUS), and ventilators in the SUS, per 100,000 inhabitants. The mortality profile was determined by latent profiles analysis, and the cluster analysis of ICU beds and ventilators used the spatial scan method. Kernel maps were constructed for the data’s visualization. Level of significance was set at 5%. Four latent mortality profiles were observed. The Health Regions with the highest mean mortality rates were located in regions with shortages of ICU beds and ventilators, especially in parts of the Northeast, Southeast, and South of Brazil. The spatial localization of regions with both the highest mortality and shortages of ICU beds/ventilators requires attention by policymakers and public planners to deal efficiently and fairly with the COVID-19 epidemic in BrazilO acelerado aumento do número de casos de doença pelo novo coronavírus (COVID-19) exige que os países aumentem as vagas nas unidades de terapia intensiva (UTI). Doenças respiratórias, neoplasias, cardiopatias, hipertensão e diabetes aumentam sua letalidade. O estudo objetivou identificar tanto as regiões com as maiores taxas de mortalidade específica por essas doenças quanto as com maior escassez de UTI e ventiladores pulmonares. Foi realizado um estudo ecológico transversal, as unidades de análise foram as Regiões de Saúde no Brasil. A fonte de dados foi o Departamento de Informática do SUS – DATASUS (Cadastro Nacional de Estabelecimentos de Saúde – 2019, Sistemas de Informação de Mortalidade – 2017 e Projeções Populacionais – 2017). Foram calculadas as taxas por 100 mil habitantes de mortalidade específica para hipertensão, neoplasias, diabetes, doenças cardíacas e respiratórias, leitos de UTI total, leitos de UTI privados, leitos de UTI do Sistema Único de Saúde (SUS) e ventiladores do SUS. O perfil de mortalidade foi determinado pela análise de perfis latentes, e a análise de clusters dos leitos e ventiladores foi feita pelo método de varredura espacial. Mapas de Kernel foram construídos para a visualização dos dados. O nível de significância foi de 5%. Observou-se quatro perfis latentes de mortalidade. As regiões de saúde com as maiores médias na mortalidade estão localizadas em regiões cuja escassez de leitos de UTI e de ventiladores foi visualizada, especialmente, em partes das regiões Nordeste, Sudeste e Sul. A localização espacial das regiões com maior mortalidade e com escassez de leitos de UTI/ventiladores requer a atenção dos gestores e planejadores públicos, para o enfrentamento eficiente e equânime da epidemia no Brasil.Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz2020-06-01T14:10:01Z2020-06-01T14:10:01Z2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfMOREIRA, R. da S. COVID-19: unidades de terapia intensiva, ventiladores mecânicos e perfis latentes de mortalidade associados à letalidade no Brasil. Cadernos de Saúde Pública, Rio de Janeiro, 2020.http://repositorio.ufla.br/jspui/handle/1/41292Cadernos de Saúde Públicareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessMoreira, Rafael da Silveirapor2020-06-01T14:10:01Zoai:localhost:1/41292Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-06-01T14:10:01Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
COVID-19: unidades de terapia intensiva, ventiladores mecânicos e perfis latentes de mortalidade associados à letalidade no Brasil COVID-19: intensive care units, mechanical ventilators, and latent mortality profiles associated with case-fatality in Brazil |
title |
COVID-19: unidades de terapia intensiva, ventiladores mecânicos e perfis latentes de mortalidade associados à letalidade no Brasil |
spellingShingle |
COVID-19: unidades de terapia intensiva, ventiladores mecânicos e perfis latentes de mortalidade associados à letalidade no Brasil Moreira, Rafael da Silveira Unidades de Terapia Intensiva Ventiladores mecânicos Mortalidade Intensive Care Units Mechanical ventilators Mortality |
title_short |
COVID-19: unidades de terapia intensiva, ventiladores mecânicos e perfis latentes de mortalidade associados à letalidade no Brasil |
title_full |
COVID-19: unidades de terapia intensiva, ventiladores mecânicos e perfis latentes de mortalidade associados à letalidade no Brasil |
title_fullStr |
COVID-19: unidades de terapia intensiva, ventiladores mecânicos e perfis latentes de mortalidade associados à letalidade no Brasil |
title_full_unstemmed |
COVID-19: unidades de terapia intensiva, ventiladores mecânicos e perfis latentes de mortalidade associados à letalidade no Brasil |
title_sort |
COVID-19: unidades de terapia intensiva, ventiladores mecânicos e perfis latentes de mortalidade associados à letalidade no Brasil |
author |
Moreira, Rafael da Silveira |
author_facet |
Moreira, Rafael da Silveira |
author_role |
author |
dc.contributor.author.fl_str_mv |
Moreira, Rafael da Silveira |
dc.subject.por.fl_str_mv |
Unidades de Terapia Intensiva Ventiladores mecânicos Mortalidade Intensive Care Units Mechanical ventilators Mortality |
topic |
Unidades de Terapia Intensiva Ventiladores mecânicos Mortalidade Intensive Care Units Mechanical ventilators Mortality |
description |
In response to the accelerated increase in the number of COVID-19 cases, countries must increase their supply of beds in intensive care units (ICUs). Respiratory diseases, neoplasms, cardiopathies and hypertension, and diabetes are associated with higher COVID-19 case-fatality. The study aimed to identify the regions of Brazil with higher specific mortality rates from these comorbidities and the regions with the greatest shortage of ICU beds and mechanical ventilators. A cross-sectional ecological study was performed in which the units of analysis were the country’s Health Regions. Data were obtained from Brazilian Health Informatics Department – DATASUS (National Registry of Healthcare Establishments – 2019, Mortality Information Systems – 2017, and Population Projections – 2017). We calculated the disease group-specific mortality rates for hypertension, neoplasms, diabetes, cardiac diseases, respiratory diseases and the rates of total ICU beds, private ICU beds, ICU beds in the Brazilian Unified National Health System (SUS), and ventilators in the SUS, per 100,000 inhabitants. The mortality profile was determined by latent profiles analysis, and the cluster analysis of ICU beds and ventilators used the spatial scan method. Kernel maps were constructed for the data’s visualization. Level of significance was set at 5%. Four latent mortality profiles were observed. The Health Regions with the highest mean mortality rates were located in regions with shortages of ICU beds and ventilators, especially in parts of the Northeast, Southeast, and South of Brazil. The spatial localization of regions with both the highest mortality and shortages of ICU beds/ventilators requires attention by policymakers and public planners to deal efficiently and fairly with the COVID-19 epidemic in Brazil |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-06-01T14:10:01Z 2020-06-01T14:10:01Z 2020 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
MOREIRA, R. da S. COVID-19: unidades de terapia intensiva, ventiladores mecânicos e perfis latentes de mortalidade associados à letalidade no Brasil. Cadernos de Saúde Pública, Rio de Janeiro, 2020. http://repositorio.ufla.br/jspui/handle/1/41292 |
identifier_str_mv |
MOREIRA, R. da S. COVID-19: unidades de terapia intensiva, ventiladores mecânicos e perfis latentes de mortalidade associados à letalidade no Brasil. Cadernos de Saúde Pública, Rio de Janeiro, 2020. |
url |
http://repositorio.ufla.br/jspui/handle/1/41292 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz |
publisher.none.fl_str_mv |
Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz |
dc.source.none.fl_str_mv |
Cadernos de Saúde Pública reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
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Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
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1807835217559289856 |