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Yellow fever: profile of cases and factors associated with death in a hospital in the State of Rio de Janeiro, 2017–2018

OBJECTIVE: Describe the clinical and epidemiological profile of confirmed cases of yellow fever whose patients were hospitalized in a general hospital for infectious diseases in the State of Rio de Janeiro, Brazil, from March 11, 2017 to June 15, 2018, during a recent outbreak and factors associated...

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Autores principales: Escosteguy, Claudia Caminha, Pereira, Alessandra Gonçalves Lisbôa, Marques, Marcio Renan Vinícius Espínola, Lima, Tatiana Rodrigues de Araujo, Galliez, Rafael Mello, Medronho, Roberto de Andrade
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Saúde Pública da Universidade de São Paulo 2019
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6802947/
https://www.ncbi.nlm.nih.gov/pubmed/31644770
http://dx.doi.org/10.11606/s1518-8787.2019053001434
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author Escosteguy, Claudia Caminha
Pereira, Alessandra Gonçalves Lisbôa
Marques, Marcio Renan Vinícius Espínola
Lima, Tatiana Rodrigues de Araujo
Galliez, Rafael Mello
Medronho, Roberto de Andrade
author_facet Escosteguy, Claudia Caminha
Pereira, Alessandra Gonçalves Lisbôa
Marques, Marcio Renan Vinícius Espínola
Lima, Tatiana Rodrigues de Araujo
Galliez, Rafael Mello
Medronho, Roberto de Andrade
author_sort Escosteguy, Claudia Caminha
collection PubMed
description OBJECTIVE: Describe the clinical and epidemiological profile of confirmed cases of yellow fever whose patients were hospitalized in a general hospital for infectious diseases in the State of Rio de Janeiro, Brazil, from March 11, 2017 to June 15, 2018, during a recent outbreak and factors associated with death. METHODS: This is a retrospective observational study with analysis of secondary databases of local epidemiological surveillance system, and complementary data collection from epidemiological investigation records and clinical records. Study variables included demographic, epidemiological, clinical, and laboratory data. A descriptive statistical analysis and a bivariate and multivariate analysis by logistic regression were performed to analyze factors associated with death. RESULTS: Fifty-two patients diagnosed with yellow fever were hospitalized, 86.5% male patients, median age 49.5 years, 40.4% rural workers. The most frequent signs and symptoms were fever (90.4%), jaundice (86.5%), nausea and/or vomiting (69.2%), changes in renal excretion (53.8%), bleeding (50%), and abdominal pain (48.1%), with comorbidity in 38.5% of all cases. The lethality rate was 40.4%. Factors significantly associated with a higher chance of death in the bivariate analysis were: bleeding, changes in renal excretion, and maximum values of direct bilirubin, aspartate aminotransferase (AST), alanine aminotransferase (ALT), urea, and creatinine. In the multivariate analysis by logistic regression, only changes in renal excretion and ALT remained significant predictors of higher chance of death. A threshold effect was also observed for AST. The cutoff points identified as high risk for death were ALT > 4,000 U/L and AST > 6,000 U/L. CONCLUSIONS: This study contributed to the knowledge on the profile of confirmed cases of high severity yellow fever. The main factors associated with death were changes in renal excretion and elevated serum transaminases, especially ALT. High lethality emphasizes the need for early diagnosis and treatment, and the importance of increasing vaccination coverage.
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spelling pubmed-68029472019-12-13 Yellow fever: profile of cases and factors associated with death in a hospital in the State of Rio de Janeiro, 2017–2018 Escosteguy, Claudia Caminha Pereira, Alessandra Gonçalves Lisbôa Marques, Marcio Renan Vinícius Espínola Lima, Tatiana Rodrigues de Araujo Galliez, Rafael Mello Medronho, Roberto de Andrade Rev Saude Publica Original Article OBJECTIVE: Describe the clinical and epidemiological profile of confirmed cases of yellow fever whose patients were hospitalized in a general hospital for infectious diseases in the State of Rio de Janeiro, Brazil, from March 11, 2017 to June 15, 2018, during a recent outbreak and factors associated with death. METHODS: This is a retrospective observational study with analysis of secondary databases of local epidemiological surveillance system, and complementary data collection from epidemiological investigation records and clinical records. Study variables included demographic, epidemiological, clinical, and laboratory data. A descriptive statistical analysis and a bivariate and multivariate analysis by logistic regression were performed to analyze factors associated with death. RESULTS: Fifty-two patients diagnosed with yellow fever were hospitalized, 86.5% male patients, median age 49.5 years, 40.4% rural workers. The most frequent signs and symptoms were fever (90.4%), jaundice (86.5%), nausea and/or vomiting (69.2%), changes in renal excretion (53.8%), bleeding (50%), and abdominal pain (48.1%), with comorbidity in 38.5% of all cases. The lethality rate was 40.4%. Factors significantly associated with a higher chance of death in the bivariate analysis were: bleeding, changes in renal excretion, and maximum values of direct bilirubin, aspartate aminotransferase (AST), alanine aminotransferase (ALT), urea, and creatinine. In the multivariate analysis by logistic regression, only changes in renal excretion and ALT remained significant predictors of higher chance of death. A threshold effect was also observed for AST. The cutoff points identified as high risk for death were ALT > 4,000 U/L and AST > 6,000 U/L. CONCLUSIONS: This study contributed to the knowledge on the profile of confirmed cases of high severity yellow fever. The main factors associated with death were changes in renal excretion and elevated serum transaminases, especially ALT. High lethality emphasizes the need for early diagnosis and treatment, and the importance of increasing vaccination coverage. Faculdade de Saúde Pública da Universidade de São Paulo 2019-10-16 /pmc/articles/PMC6802947/ /pubmed/31644770 http://dx.doi.org/10.11606/s1518-8787.2019053001434 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Escosteguy, Claudia Caminha
Pereira, Alessandra Gonçalves Lisbôa
Marques, Marcio Renan Vinícius Espínola
Lima, Tatiana Rodrigues de Araujo
Galliez, Rafael Mello
Medronho, Roberto de Andrade
Yellow fever: profile of cases and factors associated with death in a hospital in the State of Rio de Janeiro, 2017–2018
title Yellow fever: profile of cases and factors associated with death in a hospital in the State of Rio de Janeiro, 2017–2018
title_full Yellow fever: profile of cases and factors associated with death in a hospital in the State of Rio de Janeiro, 2017–2018
title_fullStr Yellow fever: profile of cases and factors associated with death in a hospital in the State of Rio de Janeiro, 2017–2018
title_full_unstemmed Yellow fever: profile of cases and factors associated with death in a hospital in the State of Rio de Janeiro, 2017–2018
title_short Yellow fever: profile of cases and factors associated with death in a hospital in the State of Rio de Janeiro, 2017–2018
title_sort yellow fever: profile of cases and factors associated with death in a hospital in the state of rio de janeiro, 2017–2018
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6802947/
https://www.ncbi.nlm.nih.gov/pubmed/31644770
http://dx.doi.org/10.11606/s1518-8787.2019053001434
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