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Cryptococcosis: Identification of Risk Areas in the Brazilian Amazon

The Brazilian Amazon has a specific epidemiological profile for cryptococcosis, considering its social and economic inequality, health reality, and low access to health services. Furthermore, Brazil and Colombia have the highest cryptococcosis incidence rates in Latin America. In this study, we iden...

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Autores principales: dos Reis, Danielle Saraiva Tuma, de Brito, Mioni Thieli Figueiredo Magalhães, Guimarães, Ricardo José de Paula Souza, Quaresma, Juarez Antônio Simões
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324227/
https://www.ncbi.nlm.nih.gov/pubmed/35889130
http://dx.doi.org/10.3390/microorganisms10071411
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author dos Reis, Danielle Saraiva Tuma
de Brito, Mioni Thieli Figueiredo Magalhães
Guimarães, Ricardo José de Paula Souza
Quaresma, Juarez Antônio Simões
author_facet dos Reis, Danielle Saraiva Tuma
de Brito, Mioni Thieli Figueiredo Magalhães
Guimarães, Ricardo José de Paula Souza
Quaresma, Juarez Antônio Simões
author_sort dos Reis, Danielle Saraiva Tuma
collection PubMed
description The Brazilian Amazon has a specific epidemiological profile for cryptococcosis, considering its social and economic inequality, health reality, and low access to health services. Furthermore, Brazil and Colombia have the highest cryptococcosis incidence rates in Latin America. In this study, we identified the areas of risk for cryptococcosis in the state of Pará in the Brazilian Amazon. This was an ecological study of patients admitted to a referral hospital from 2008 to 2018, aged 13 years or older, and of both sexes. The spatial distribution was determined using ArcGis 10.3.1 software. Cryptococcosis was confirmed in 272 cases. The incidence rate was 3.41 cases/100,000 inhabitants. Spatial distribution was concentrated in the Metropolitana de Belém, Nordeste Paraense, and Marajó mesoregions. The sociodemographic profile consisted of 62% men, aged between 24 and 34 years (36%), without completed secondary education (64.7%), and with occupations varying between agricultural activities (13.8%) and household activities (22%). The mean hospitalization time was 39 days; the prevalent clinical form was neurological (89.7%). The mortality rate among patients with cryptococcosis was up to 40%. Knowledge of the real magnitude of the disease in the Brazilian Amazon makes it possible to identify areas with the greatest risks and to propose control and epidemiological surveillance programs.
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spelling pubmed-93242272022-07-27 Cryptococcosis: Identification of Risk Areas in the Brazilian Amazon dos Reis, Danielle Saraiva Tuma de Brito, Mioni Thieli Figueiredo Magalhães Guimarães, Ricardo José de Paula Souza Quaresma, Juarez Antônio Simões Microorganisms Article The Brazilian Amazon has a specific epidemiological profile for cryptococcosis, considering its social and economic inequality, health reality, and low access to health services. Furthermore, Brazil and Colombia have the highest cryptococcosis incidence rates in Latin America. In this study, we identified the areas of risk for cryptococcosis in the state of Pará in the Brazilian Amazon. This was an ecological study of patients admitted to a referral hospital from 2008 to 2018, aged 13 years or older, and of both sexes. The spatial distribution was determined using ArcGis 10.3.1 software. Cryptococcosis was confirmed in 272 cases. The incidence rate was 3.41 cases/100,000 inhabitants. Spatial distribution was concentrated in the Metropolitana de Belém, Nordeste Paraense, and Marajó mesoregions. The sociodemographic profile consisted of 62% men, aged between 24 and 34 years (36%), without completed secondary education (64.7%), and with occupations varying between agricultural activities (13.8%) and household activities (22%). The mean hospitalization time was 39 days; the prevalent clinical form was neurological (89.7%). The mortality rate among patients with cryptococcosis was up to 40%. Knowledge of the real magnitude of the disease in the Brazilian Amazon makes it possible to identify areas with the greatest risks and to propose control and epidemiological surveillance programs. MDPI 2022-07-13 /pmc/articles/PMC9324227/ /pubmed/35889130 http://dx.doi.org/10.3390/microorganisms10071411 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
dos Reis, Danielle Saraiva Tuma
de Brito, Mioni Thieli Figueiredo Magalhães
Guimarães, Ricardo José de Paula Souza
Quaresma, Juarez Antônio Simões
Cryptococcosis: Identification of Risk Areas in the Brazilian Amazon
title Cryptococcosis: Identification of Risk Areas in the Brazilian Amazon
title_full Cryptococcosis: Identification of Risk Areas in the Brazilian Amazon
title_fullStr Cryptococcosis: Identification of Risk Areas in the Brazilian Amazon
title_full_unstemmed Cryptococcosis: Identification of Risk Areas in the Brazilian Amazon
title_short Cryptococcosis: Identification of Risk Areas in the Brazilian Amazon
title_sort cryptococcosis: identification of risk areas in the brazilian amazon
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324227/
https://www.ncbi.nlm.nih.gov/pubmed/35889130
http://dx.doi.org/10.3390/microorganisms10071411
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