Vitamin D and prognostic factors in patients with severe Covid-19 in the amazon region

Vitamin D refers to a group of fat-soluble compounds involved in essential biological functions in the human body, besides playing a role in immunomodulation, lung and muscle function, cardiovascular health and in the prevention of infectious diseases. Evidence shows high prevalence of vitamin D insufficiency worldwide, which is considered a public health problem. In the context of Covid-19, a correlation between low vitamin D levels and cases/mortality was identified and that vitamin D deficiency increased hospitalization and total mortality, verifying a strong association between disease severity and vitamin D3 deficiency. To evaluate data on vitamin D3 dosage in patients with severe Covid-19 in the Amazon region, correlating it with prognostic variables (nosographic and anthropometric data) arising from the disease. The medical records of patients of both sexes, belonging to age groups equal to or greater than 18 years old, with the diagnosis of severe Covid-19 were evaluated. This was a cross-sectional epidemiological study between October and November 2021 involving patients with severe Covid-19 that presented in their medical records anthropometric data, seen at urgent and emergency healthcare units in the city of Manaus-AM, Northern region of Brazil. The sample consisted of 68 patients with a mean age of 56.8 ± 20.0 years, 50% female and 50% male, with a mean BMI of 28.5 ± 6.2 kg/m2 and most of them overweight or obese (69.8%). Hypertension (57.1%) and Diabetes Mellitus (44.6%) were the most frequent comorbidities among the evaluated patients. Body mass index showed weak inverse correlation with vitamin D3 (P=0.044) and overweight/obese patients had lower vitamin D3 serum levels than eutrophic participants (P=0.004). Classification of serum vitamin D3 levels indicated that most patients were deficient. Significant relationships were found between vitamin D levels and the number of cases of Covid-19 and, especially, the mortality caused by this infection. The population group most vulnerable to the disease, the aging population, is also the one with the most deficient vitamin D levels

Acute Chagas disease associated with ingestion of contaminated food in Brazilian western Amazon

Funding Information: We would like to thank the following institutions for all the support they accorded: Fundação de Medicina Tropical Dr. Heitor Vieira Dourado, Amazonas Health Surveillance Foundation Dr. Rosimary Costa Pinto (FVS‐RCP/AM), the Municipal Health Departments of the affected by the outbreaks and Fundação de Amparo à Pesquisa do Estado do Amazonas for their financial support in acquiring materials for the molecular detection of the parasite. We would also like to thank the public health surveillance teams and the patients who agreed to participate in this study. Publisher Copyright: © 2023 Belgian Society of Tropical Medicine and the Prince Leopold Institute of Tropical Medicine.Objective: To describe clinical, epidemiological and management information on cases of acute Chagas disease (ACD) by oral transmission in the state of Amazonas in western Amazon. Methods: Manual and electronic medical records of patients diagnosed with ACD at the Fundação de Medicina Tropical Doutor Heitor Vieira Dourado (FMT-HVD) were included. Results: There were 147 cases of acute CD registered from 10 outbreaks that occurred in the state of Amazonas between 2004 and 2022. The transmission pathway was through oral route, with probable contaminated palm fruit juice (açaí and/or papatuá), and involved people from the same family, friends or neighbours. Of 147 identified cases, 87 (59%) were males; cases were aged 10 months to 82 years. The most common symptom was the febrile syndrome (123/147; 91.8%); cardiac alterations were present in 33/100 (33%), (2/147; 1.4%) had severe ACD with meningoencephalitis, and 12 (8.2%) were asymptomatic. Most cases were diagnosed through thick blood smear (132/147; 89.8%), a few (14/147; 9.5%) were diagnosed by serology and (1/147; 0.7%) by polymerase chain reaction (PCR) and blood culture. In all these outbreaks, 74.1% of the patients were analysed by PCR, and Trypanosoma cruzi TcIV was detected in all of them. No deaths were recorded. The incidence of these foci coincided with the fruit harvest period in the state of Amazonas. Conclusion: The occurrence of ACD outbreaks in the Amazon affected individuals of both sexes, young adults, living in rural and peri-urban areas and related to the consumption of regional foods. Early diagnosis is an important factor in surveillance. There was a low frequency of cardiac alterations. Continuous follow-up of most patients was not carried out due to difficulty in getting to specialised centres; therefore, little is known about post-treatment.publishersversioninpres

Type 1 cardiorenal syndrome in a patient with an acute infection caused by Trypanosoma cruzi in the Brazilian Amazon region - a case report

Abstract Cardiorenal syndrome type 1 (CRS 1) occurs when acute heart failure leads to acute kidney injury. There are several etiologies of CRS 1, including Chagas disease. Here, we present the first case report of CRS 1 in a patient with acute Chagas disease. Electrocardiography, transthoracic echocardiography, and cardiac magnetic resonance imaging showed signs of acute myocarditis. Laboratory examination revealed severe loss of kidney function, with a creatinine clearance of 30 mL/min, which fully normalized after treatment. Due to emergence of Chagas disease in the Brazilian Amazon, it is important to report unique clinical features in order to improve patients’ outcomes

GeoInfo: infraestructura de datos espaciales abiertos para la investigación agropecuaria

Made available in DSpace on 2017-12-21T12:29:27Z (GMT). No. of bitstreams: 2 license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) 13.pdf: 1291344 bytes, checksum: 88bc95602e9d31d6bcbda97a46402928 (MD5) Previous issue date: 2017Empresa Brasileira de Pesquisa Agropecuária. Informática Agropecuária. Campinas, SP, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Monitoramento por Satélite. Campinas, SP, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Solos. Rio de Janeiro, RJ, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Monitoramento por Satélite. Campinas, RJ, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Informática Agropecuária. Campinas, SP, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Monitoramento por Satélite. Campinas, SP, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Solos. Rio de Janeiro, RJ, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Solos. Rio de Janeiro, RJ, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Monitoramento por Satélite. Campinas, RJ, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Solos. Rio de Janeiro, RJ, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Solos. Rio de Janeiro, RJ, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Florestas. Colombo, PR, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Solos. Rio de Janeiro, RJ, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Cerrados. Brasília, DF, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Meio Ambiente. Jaguariúna, SP, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Algodão. Campina Grande, PB, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Florestas. Colombo, PR, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Clima Temperado. Pelotas, RS, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Clima Temperado. Pelotas, RS, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Agrossilvipastoril. Sinop, MT, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Tabuleiros Costeiros. Aracaju, SE, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Amazônia Oriental. Belém, PA, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Caprinos e Ovinos. Sobral, CE, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Informática Agropecuária. Campinas, SP, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Meio Ambiente. Jaguariúna, SP, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Monitoramento por Satélite. Campinas, SP, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Monitoramento por Satélite. Campinas, SP, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Monitoramento por Satélite. Campinas, SP, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Informática Agropecuária. Campinas, SP, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Florestas. Colombo, PR, Brasil.Empresa Brasileira de Pesquisa Agropecuária. Departamento de Pesquisa e Desenvolvimento. Brasília, DF, Brasil.A geoinformação é essencial para o planejamento e monitoramento das atividades agropecuárias, justificando o emprego de esforços para reuni-la e padronizá-la de acordo com as diretrizes governamentais e possibiltando sua disponibilização à sociedade em geral. O objetivo deste trabalho é apresentar a experiência da Embrapa em construir sua Infraestrutura de Dados Espaciais, denominada GeoInfo, uma iniciativa para organizar, preservar, documentar e ofertar dados geoespaciais abertos produzidos nas pesquisas da empresa, ampliando o potencial de aplicação dessa informação na produção e difusão de conhecimento e inovação. O GeoInfo implementa os padrões da Infraestrutura Nacional de Dados Espaciais e viabiliza a interoperabilidade de dados geoespaciais provenientes de diferentes fontes, inclusive sob o aspecto semântico. Essa iniciativa possibilita a integração das informações geoespaciais produzidas na Embrapa com diversas informações disponíveis em nosso país e permite que a redundância de esforços na obtenção e produção de dados geoespaciais sejam evitados.Geoinformation is essential to plan and monitor agricultural activities, justifying efforts to gather and standardize it according to governmental guidelines and to make it available to decision makers and general public. This work aims on presenting the experience of Embrapa on building its Spatial Data Infrastructure (SDI). This SDI, called GeoInfo, is an initiative to organize, preserve, document and offer geodata produced by the company, in order to increase the application of this information in the production and diffusion of knowledge and innovation. GeoInfo implements the guidelines of the Brazilian National Spatial Data Infrastructure and enables scientific geodata interoperability, encompassing semantics. GeoInfo SDI promotes redundancy of efforts avoidance in obtaining and producing geodata. This initiative enables the integration of geospatial information produced at Embrapa with many other public information sources available worldwide.La geoinformación es esencial para la planificación y monitoreo de las actividades agropecuarias, justificando el empleo de esfuerzos para reunirla y estandarizarla de acuerdo con las directrices gubernamentales, posibilitando su disponibilidad para la sociedad en general y los tomadores de decisión. El objetivo de este trabajo es presentar la experiencia de Embrapa en construir su Infraestructura de Datos Espaciales (IDE), denominada GeoInfo, una iniciativa para organizar, preservar, documentar y ofrecer la geoinformación producida por la empresa, para ampliar el potencial de aplicación de esa información en la producción y difusión de conocimiento e innovación. La IDE-GeoInfo implementa los estándares de la Infraestructura Nacional de Datos Espaciales (INDE) y viabiliza la interoperabilidad de datos e informaciones espaciales provenientes de distintas fuentes, incluso bajo el aspecto semántico. El uso del Geoinfo permite que la redundancia de esfuerzos en la obtención y producción de datos geoespaciales sean evitados. Geoinfo es una estructura que posibilita la integración de las informaciones geoespaciales producidas en la Embrapa con diversas informaciones disponibles en todo el mundo