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Estimated mortality rate and leading causes of death among individuals with chikungunya in 2016 and 2017 in Brazil

INTRODUCTION: In 2014, the first cases of autochthonous chikungunya (CHIK) were recorded in Brazil. Lethality associated with this disease is underestimated. Thus, this study aimed to analyze the causes of death among individuals with CHIK in Brazil. METHODS: A descriptive observational study was co...

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Autores principales: Frutuoso, Livia Carla Vinhal, Freitas, André Ricardo Ribas, Cavalcanti, Luciano Pamplona de Góes, Duarte, Elisabeth Carmen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Medicina Tropical - SBMT 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7182291/
https://www.ncbi.nlm.nih.gov/pubmed/32294696
http://dx.doi.org/10.1590/0037-8682-0580-2019
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author Frutuoso, Livia Carla Vinhal
Freitas, André Ricardo Ribas
Cavalcanti, Luciano Pamplona de Góes
Duarte, Elisabeth Carmen
author_facet Frutuoso, Livia Carla Vinhal
Freitas, André Ricardo Ribas
Cavalcanti, Luciano Pamplona de Góes
Duarte, Elisabeth Carmen
author_sort Frutuoso, Livia Carla Vinhal
collection PubMed
description INTRODUCTION: In 2014, the first cases of autochthonous chikungunya (CHIK) were recorded in Brazil. Lethality associated with this disease is underestimated. Thus, this study aimed to analyze the causes of death among individuals with CHIK in Brazil. METHODS: A descriptive observational study was conducted on individuals with CHIK who died within 6 months from symptom onset. Data pairing between the Information System for Notifiable Diseases and the Mortality Information System was performed. Deaths were classified according to case confirmation criterion, mention of CHIK in the death certificates (DCs), and disease phase. The lethality rate per 1,000 cases was corrected for underreporting and was estimated according to region, sex, age, years of education, race/color, and cause groups. RESULTS: We identified 3,135 deaths (mention of CHIK in the DCs, 764 [24.4%]). In 17.6% of these cases, CHIK was the underlying cause. Most deaths occurred in the acute (38.1%) and post-acute (29.6%) phases. The corrected LR (5.7; x1,000) was 6.8 times higher than that obtained from the Information System for Notifiable Diseases (0.8). The highest corrected LRs were estimated for among individuals living in the Northeast region (6.2), men (7.4), those with low years of education and those aged <1 year (8.6), 65-79 years (20.7), and ≥80 years (75.4). CONCLUSIONS: The LR of CHIK estimates based on information system linkage help to reveal the relevance of this disease as the direct cause or as a cause associated with serious or fatal events, provide timely interventions, and increase the knowledge about this disease.
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spelling pubmed-71822912020-04-27 Estimated mortality rate and leading causes of death among individuals with chikungunya in 2016 and 2017 in Brazil Frutuoso, Livia Carla Vinhal Freitas, André Ricardo Ribas Cavalcanti, Luciano Pamplona de Góes Duarte, Elisabeth Carmen Rev Soc Bras Med Trop Major Article INTRODUCTION: In 2014, the first cases of autochthonous chikungunya (CHIK) were recorded in Brazil. Lethality associated with this disease is underestimated. Thus, this study aimed to analyze the causes of death among individuals with CHIK in Brazil. METHODS: A descriptive observational study was conducted on individuals with CHIK who died within 6 months from symptom onset. Data pairing between the Information System for Notifiable Diseases and the Mortality Information System was performed. Deaths were classified according to case confirmation criterion, mention of CHIK in the death certificates (DCs), and disease phase. The lethality rate per 1,000 cases was corrected for underreporting and was estimated according to region, sex, age, years of education, race/color, and cause groups. RESULTS: We identified 3,135 deaths (mention of CHIK in the DCs, 764 [24.4%]). In 17.6% of these cases, CHIK was the underlying cause. Most deaths occurred in the acute (38.1%) and post-acute (29.6%) phases. The corrected LR (5.7; x1,000) was 6.8 times higher than that obtained from the Information System for Notifiable Diseases (0.8). The highest corrected LRs were estimated for among individuals living in the Northeast region (6.2), men (7.4), those with low years of education and those aged <1 year (8.6), 65-79 years (20.7), and ≥80 years (75.4). CONCLUSIONS: The LR of CHIK estimates based on information system linkage help to reveal the relevance of this disease as the direct cause or as a cause associated with serious or fatal events, provide timely interventions, and increase the knowledge about this disease. Sociedade Brasileira de Medicina Tropical - SBMT 2020-04-09 /pmc/articles/PMC7182291/ /pubmed/32294696 http://dx.doi.org/10.1590/0037-8682-0580-2019 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
spellingShingle Major Article
Frutuoso, Livia Carla Vinhal
Freitas, André Ricardo Ribas
Cavalcanti, Luciano Pamplona de Góes
Duarte, Elisabeth Carmen
Estimated mortality rate and leading causes of death among individuals with chikungunya in 2016 and 2017 in Brazil
title Estimated mortality rate and leading causes of death among individuals with chikungunya in 2016 and 2017 in Brazil
title_full Estimated mortality rate and leading causes of death among individuals with chikungunya in 2016 and 2017 in Brazil
title_fullStr Estimated mortality rate and leading causes of death among individuals with chikungunya in 2016 and 2017 in Brazil
title_full_unstemmed Estimated mortality rate and leading causes of death among individuals with chikungunya in 2016 and 2017 in Brazil
title_short Estimated mortality rate and leading causes of death among individuals with chikungunya in 2016 and 2017 in Brazil
title_sort estimated mortality rate and leading causes of death among individuals with chikungunya in 2016 and 2017 in brazil
topic Major Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7182291/
https://www.ncbi.nlm.nih.gov/pubmed/32294696
http://dx.doi.org/10.1590/0037-8682-0580-2019
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