Prevalence of comorbidities in Severe Acute Respiratory Syndrome in patients with COVID-19 and other infectious agentes
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
DOI: | 10.33448/rsd-v9i11.10286 |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/10286 |
Resumo: | This study aimed to analyze the cases of acute respiratory syndrome - SARS caused by COVID-19, or not, in relation to the presence of heart diseases and diabetes, in severe cases in the State of Pernambuco, the Northeast region and in Brazil. Data were collected from the Ministry of Health's OpenDataSUS Database, covering information between 12/29/2019 and 9/14/2020. Analyzes were made with the rpart package of the R software, which builds classification or regression models that can be represented as binary trees. The results revealed a significant percentage of heart diseases and diabetes (average of 51% and 40%, respectively) present in patients with SARS, regardless of etiology, in the three areas considered. It was also observed that patients with heart disease develop SARS more frequently when affected with COVID-19 (64.6%) than with other etiologies (35.4%). The same was observed for diabetic patients with COVID-19 (67.1%) and for patients negative for COVID-19 (27.7%). The lethality rate was higher among patients with both comorbidities. It was 47.6% for diabetes; 45.3% for cardiac patients and 50.3% when in combination in patients affected by SARS caused by COVID-19. The results obtained are relevant to the development of public health measures seeking to identify patients at higher risk and to apply early and specific treatments in order to reduce mortality in these cases. |
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Research, Society and Development |
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Prevalence of comorbidities in Severe Acute Respiratory Syndrome in patients with COVID-19 and other infectious agentesPrevalencia de comorbilidades en el Síndrome Respiratorio Agudo Severo en pacientes con COVID-19 y otros agentes infecciososPrevalência de comorbidades na Síndrome Respiratória Aguda Grave em pacientes acometidos por COVID-19 e outros agentes infecciososSARSCOVID-19Pernambuco StateNortheastBrazil.SRAGCOVID-19PernambucoNoresteBrasil.SARGCOVID-19PernambucoNordesteBrasil.This study aimed to analyze the cases of acute respiratory syndrome - SARS caused by COVID-19, or not, in relation to the presence of heart diseases and diabetes, in severe cases in the State of Pernambuco, the Northeast region and in Brazil. Data were collected from the Ministry of Health's OpenDataSUS Database, covering information between 12/29/2019 and 9/14/2020. Analyzes were made with the rpart package of the R software, which builds classification or regression models that can be represented as binary trees. The results revealed a significant percentage of heart diseases and diabetes (average of 51% and 40%, respectively) present in patients with SARS, regardless of etiology, in the three areas considered. It was also observed that patients with heart disease develop SARS more frequently when affected with COVID-19 (64.6%) than with other etiologies (35.4%). The same was observed for diabetic patients with COVID-19 (67.1%) and for patients negative for COVID-19 (27.7%). The lethality rate was higher among patients with both comorbidities. It was 47.6% for diabetes; 45.3% for cardiac patients and 50.3% when in combination in patients affected by SARS caused by COVID-19. The results obtained are relevant to the development of public health measures seeking to identify patients at higher risk and to apply early and specific treatments in order to reduce mortality in these cases.Este estudio tuvo como objetivo analizar los casos de síndrome respiratorio agudo - SRAG causado o no por COVID-19, en relación con la presencia de cardiopatía y diabetes, en casos severos en el Estado de Pernambuco, Nordeste y Brasil. Los datos se obtuvieron de la base de datos OpenDataSUS del Ministério da Saúde, que contempla información entre el 29/12/2019 y el 14/9/2020. Los análisis se realizaron con el paquete Rpart del software R, que construye modelos de clasificación o regresión que se pueden representar como árboles binarios. Los resultados revelaron un porcentaje significativo de enfermedades cardíacas y diabetes (promedio de 51% y 40%, respectivamente) presentes en pacientes con SARS, independientemente de la etiología, en las tres áreas consideradas. También se observó que los pacientes con cardiopatía desarrollan SRAG con mayor frecuencia cuando se ven afectados por COVID-19 (64,6%) que con otras etiologías (35,4%). Lo mismo se observó para los pacientes diabéticos con COVID-19 (67,1%) y para los pacientes negativos para COVID-19 (27,7%). La tasa de letalidad fue mayor entre los pacientes con ambas comorbilidades, aisladas (47,6% para diabetes y 45,3% para cardíacas) o en combinación (50,3%), afectados por SARS causado por COVID-19. Los resultados obtenidos son relevantes para el desarrollo de medidas de salud pública orientadas a identificar a los pacientes de mayor riesgo y desarrollar tratamientos precoces y específicos para reducir la mortalidad en estos casos.Este trabalho teve como objetivo analisar a associação entre confirmação ou não da Covid-19, comorbidades e casos graves da síndrome respiratória aguda - SRAG em Pernambuco-Nordeste-Brasil. Os dados foram coletados do Banco de Dados Open Data SUS do Ministério da Saúde, com informações do período 29/12/2019 e 14/09/2020. As análises foram feitas com o pacote rpart do software R, o qual constrói modelos de classificação ou regressão que podem ser representados como árvores binárias. Os resultados revelaram percentual significativo de cardiopatias e diabetes (média de 51% e 40%, respectivamente) presentes em pacientes com quadro de SRAG, independente da etiologia, nas três áreas consideradas. Observou-se, também, que pacientes cardiopatas desenvolvem SRAG com maior frequência quando acometidos com COVID-19 (64,6%) do que com outras etiologias (35,4%). O mesmo foi observado para pacientes diabéticos com COVID-19 (67,1%) e para pacientes negativos para COVID-19 (27,7%). A taxa de letalidade apresentou-se maior entre pacientes com as duas comorbidades, isoladas (47,6% para diabetes e 45,3% para cardíacos) ou em associação (50,3%), acometidos por SRAG causados por COVID-19. Os resultados obtidos são relevantes para elaboração de medidas de saúde pública visando identificar pacientes de maior risco e desenvolver tratamentos precoces e específicos para reduzir a mortalidade nesses casos.Research, Society and Development2020-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1028610.33448/rsd-v9i11.10286Research, Society and Development; Vol. 9 No. 11; e70791110286Research, Society and Development; Vol. 9 Núm. 11; e70791110286Research, Society and Development; v. 9 n. 11; e707911102862525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/10286/9262Copyright (c) 2020 Dâmocles Aurélio Nascimento da Silva Alves; Gabriela Isabel Limoeiro Alves Nascimento; Elisângela Ramos Castanha; José Elizângelo Lopes Luna; Eryka Fernanda Miranda Sobral; Wanderberg Alves Brandão ; Keila Aparecida Moreira; Josiete da Silva Mendes; Moacyr Cunha Filho; Dherfferson Montini Barros; Rosângela Estevão Alves Falcãohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess Alves, Dâmocles Aurélio Nascimento da Silva Nascimento, Gabriela Isabel Limoeiro AlvesCastanha, Elisângela RamosLuna, José Elizângelo Lopes Sobral, Eryka Fernanda Miranda Brandão , Wanderberg AlvesMoreira, Keila AparecidaMendes, Josiete da SilvaCunha Filho, MoacyrBarros, Dherfferson Montini Falcão, Rosângela Estevão Alves 2020-12-10T23:37:57Zoai:ojs.pkp.sfu.ca:article/10286Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:32:22.995492Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Prevalence of comorbidities in Severe Acute Respiratory Syndrome in patients with COVID-19 and other infectious agentes Prevalencia de comorbilidades en el Síndrome Respiratorio Agudo Severo en pacientes con COVID-19 y otros agentes infecciosos Prevalência de comorbidades na Síndrome Respiratória Aguda Grave em pacientes acometidos por COVID-19 e outros agentes infecciosos |
title |
Prevalence of comorbidities in Severe Acute Respiratory Syndrome in patients with COVID-19 and other infectious agentes |
spellingShingle |
Prevalence of comorbidities in Severe Acute Respiratory Syndrome in patients with COVID-19 and other infectious agentes Prevalence of comorbidities in Severe Acute Respiratory Syndrome in patients with COVID-19 and other infectious agentes Alves, Dâmocles Aurélio Nascimento da Silva SARS COVID-19 Pernambuco State Northeast Brazil. SRAG COVID-19 Pernambuco Noreste Brasil. SARG COVID-19 Pernambuco Nordeste Brasil. Alves, Dâmocles Aurélio Nascimento da Silva SARS COVID-19 Pernambuco State Northeast Brazil. SRAG COVID-19 Pernambuco Noreste Brasil. SARG COVID-19 Pernambuco Nordeste Brasil. |
title_short |
Prevalence of comorbidities in Severe Acute Respiratory Syndrome in patients with COVID-19 and other infectious agentes |
title_full |
Prevalence of comorbidities in Severe Acute Respiratory Syndrome in patients with COVID-19 and other infectious agentes |
title_fullStr |
Prevalence of comorbidities in Severe Acute Respiratory Syndrome in patients with COVID-19 and other infectious agentes Prevalence of comorbidities in Severe Acute Respiratory Syndrome in patients with COVID-19 and other infectious agentes |
title_full_unstemmed |
Prevalence of comorbidities in Severe Acute Respiratory Syndrome in patients with COVID-19 and other infectious agentes Prevalence of comorbidities in Severe Acute Respiratory Syndrome in patients with COVID-19 and other infectious agentes |
title_sort |
Prevalence of comorbidities in Severe Acute Respiratory Syndrome in patients with COVID-19 and other infectious agentes |
author |
Alves, Dâmocles Aurélio Nascimento da Silva |
author_facet |
Alves, Dâmocles Aurélio Nascimento da Silva Alves, Dâmocles Aurélio Nascimento da Silva Nascimento, Gabriela Isabel Limoeiro Alves Castanha, Elisângela Ramos Luna, José Elizângelo Lopes Sobral, Eryka Fernanda Miranda Brandão , Wanderberg Alves Moreira, Keila Aparecida Mendes, Josiete da Silva Cunha Filho, Moacyr Barros, Dherfferson Montini Falcão, Rosângela Estevão Alves Nascimento, Gabriela Isabel Limoeiro Alves Castanha, Elisângela Ramos Luna, José Elizângelo Lopes Sobral, Eryka Fernanda Miranda Brandão , Wanderberg Alves Moreira, Keila Aparecida Mendes, Josiete da Silva Cunha Filho, Moacyr Barros, Dherfferson Montini Falcão, Rosângela Estevão Alves |
author_role |
author |
author2 |
Nascimento, Gabriela Isabel Limoeiro Alves Castanha, Elisângela Ramos Luna, José Elizângelo Lopes Sobral, Eryka Fernanda Miranda Brandão , Wanderberg Alves Moreira, Keila Aparecida Mendes, Josiete da Silva Cunha Filho, Moacyr Barros, Dherfferson Montini Falcão, Rosângela Estevão Alves |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Alves, Dâmocles Aurélio Nascimento da Silva Nascimento, Gabriela Isabel Limoeiro Alves Castanha, Elisângela Ramos Luna, José Elizângelo Lopes Sobral, Eryka Fernanda Miranda Brandão , Wanderberg Alves Moreira, Keila Aparecida Mendes, Josiete da Silva Cunha Filho, Moacyr Barros, Dherfferson Montini Falcão, Rosângela Estevão Alves |
dc.subject.por.fl_str_mv |
SARS COVID-19 Pernambuco State Northeast Brazil. SRAG COVID-19 Pernambuco Noreste Brasil. SARG COVID-19 Pernambuco Nordeste Brasil. |
topic |
SARS COVID-19 Pernambuco State Northeast Brazil. SRAG COVID-19 Pernambuco Noreste Brasil. SARG COVID-19 Pernambuco Nordeste Brasil. |
description |
This study aimed to analyze the cases of acute respiratory syndrome - SARS caused by COVID-19, or not, in relation to the presence of heart diseases and diabetes, in severe cases in the State of Pernambuco, the Northeast region and in Brazil. Data were collected from the Ministry of Health's OpenDataSUS Database, covering information between 12/29/2019 and 9/14/2020. Analyzes were made with the rpart package of the R software, which builds classification or regression models that can be represented as binary trees. The results revealed a significant percentage of heart diseases and diabetes (average of 51% and 40%, respectively) present in patients with SARS, regardless of etiology, in the three areas considered. It was also observed that patients with heart disease develop SARS more frequently when affected with COVID-19 (64.6%) than with other etiologies (35.4%). The same was observed for diabetic patients with COVID-19 (67.1%) and for patients negative for COVID-19 (27.7%). The lethality rate was higher among patients with both comorbidities. It was 47.6% for diabetes; 45.3% for cardiac patients and 50.3% when in combination in patients affected by SARS caused by COVID-19. The results obtained are relevant to the development of public health measures seeking to identify patients at higher risk and to apply early and specific treatments in order to reduce mortality in these cases. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/10286 10.33448/rsd-v9i11.10286 |
url |
https://rsdjournal.org/index.php/rsd/article/view/10286 |
identifier_str_mv |
10.33448/rsd-v9i11.10286 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/10286/9262 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://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 |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 9 No. 11; e70791110286 Research, Society and Development; Vol. 9 Núm. 11; e70791110286 Research, Society and Development; v. 9 n. 11; e70791110286 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1822178609361584128 |
dc.identifier.doi.none.fl_str_mv |
10.33448/rsd-v9i11.10286 |