Evaluation of Tpeak–Tend and QT intervals in Chagas’ Disease, Chronic Phase and Normal Electrocardiogram

Introduction: Chagas’ disease lacks elements to predict which carriers will evolve into cardiac form and which will remain in undetermined form. Objective: To evaluate the relationship between electrocardiographic evolution and Tpeak–Tend and QT intervals, both corrected for heart rate, in chagasic patients with normal initial electrocardiogram. Method: Chagasic patients admitted to the institution until 2002 were retrospectively evaluated, and the electrocardiogram was normal at the first consultation. The Tpeak–Tend and QT intervals were measured in milliseconds at the V2 and V5 derivations, with the mean values corrected for heart rate (Bazett). The relationship of these values with the electrocardiographic evolution of the individuals was analyzed, considering the gender, time of evolution and whether they received benznidazole or not. Results: The corrected Tpeak–Tend interval showed no statistical significance among those who maintained or not normal electrocardiogram. The corrected QT interval, the treatment with benznidazole and the time of evolution showed significance for the maintenance of normal electrocardiogram. In the multivariate evaluation, treatment with benznidazole, the QTc interval and the time of evolution were independent variables for the maintenance of normal electrocardiogram. Conclusion: The Tpeak–Tend interval showed no predictor of electrocardiographic evolution. The increased QT interval favored changes

INOVAÇÃO PEDAGÓGICA NO CURSO DE ENFERMAGEM: ESTUDO, REFLEXÃO E COLABORAÇÃO PARA UM PROCESSO DE ENSINO-APRENDIZAGEM DE QUALIDADE

Objetivou-se relatar a experiência de estudantes e professores em um projeto de inovação pedagógica desenvolvido no curso de Enfermagem da Universidade Federal do Tocantins. As vivências e ações foram voltadas à promoção do protagonismo do estudante na sua formação, bem como à integração do ensino, pesquisa e extensão no ambiente universitário. Com base na experiência sugere-se uma avaliação conjunta com os demais projetos contemplados em outras áreas do conhecimento, no intuito de aprimorar o programa de inovação pedagógica institucional

Evidências sobre o uso de leite materno no tratamento dermatológico da pele do recém-nascido: Evidence on the use of breast milk in the dermatological treatment of newborn skin

O presente estudo tem como objetivo analisar as evidências sobre o uso de leite materno no tratamento dermatológico da pele do recém-nascido. A pesquisa foi desenvolvida com base em uma Revisão Sistemática da Literatura (RSL). A pesquisa foi realizada na Biblioteca Virtual do Ministério da Saúde (BVS) que indexa artigos de diferentes bases de dados como Scielo, Lilacs e MedLine e na PubMed.  Como critérios de inclusão foi considerado ser disponível em formato completo e publicado nos últimos dez anos (2012-2022). Foram excluídos estudos que não respondessem o tema de pesquisa ou que estivessem duplicados nas bases de dados. O uso do leite materno como tratamento dermatológico de pele é potencial, porém, os estudos ainda são escassos e inconclusivos, fazendo-se importante que estudos sejam realizados para que se possa sanar dúvidas sobre o uso do leite materno, considerando ser um tratamento natural e de baixo custo

O registro dos limites da cidade: imagens da várzea do Carmo no século XIX

Este trabalho debruça-se sobre a iconografia paulistana do século XIX, em suas pinturas, aquarelas e litografias. Partindo da constatação da existência de um privilegiamento das áreas dos arredores do centro nas representações da cidade, especificamente uma região, a várzea do Carmo, e dessa permanência ainda na virada do século, quando a cidade sofre um processo de urbanização e crescimento grande, e a fotografia já está registrando as áreas centrais, quisemos investigar os sentidos dessas representações, tanto a presença desse espaço - a várzea do Carmo - no imaginário da época (cronistas, legisladores, memorialistas), quanto as imagens da cidade que estão sendo produzidas a partir desse ângulo de registro. Escolhemos analisar algumas imagens dessa região, concentrando-nos no final do século, contrapondo com outros discursos produzidos sobre a área por cronistas, jornalistas e memorialistas, na tentativa de entender um pouco mais a sociedade que as produziu

Nascidos vivos com hemangioma e linfangioma no Brasil: estudo epidemiológico.

Introduction: Hemangiomas and lymphangiomas represent congenital vascular conditions affecting the circulatory and lymphatic systems, respectively. Hemangiomas consist of abnormal blood vessels, while lymphangiomas are composed of altered lymphatic vessels. Both conditions are typically identified in newborns or young children, though they can manifest at any age. Methodology: This study constitutes a descriptive epidemiological analysis focused on investigating cases of hemangioma and lymphangioma in live births in Brazil. Data collection will be conducted through the Live Birth Information System (SINASC) during the period from 2017 to 2021. Results: In the Northern region, 25 cases were recorded, representing 4.86% of the total live births with hemangioma and lymphangioma in the sample. In the Northeast region, this proportion is slightly higher, with 76 cases, accounting for 14.79% of the total. The Southeast holds the highest proportion, with 316 cases, representing a significant 61.48% of the sample. In the Southern region, 69 cases were recorded, comprising 13.42% of the total. Finally, in the Central-West region, 28 cases were counted, representing 5.45% of the sample. Conclusion: This meticulous analysis of variables related to live births with these conditions provides valuable insights that go beyond mere numerical understanding. The relevance of this profile is evident when considering various aspects.Introdução: Hemangiomas e linfangiomas representam condições vasculares congênitas que afetam o sistema circulatório e linfático, respectivamente. Os hemangiomas são formados por vasos sanguíneos anormais, enquanto os linfangiomas são compostos por vasos linfáticos alterados. Ambas as condições são geralmente identificadas em recém-nascidos ou crianças pequenas, embora possam se manifestar em qualquer idade. Metodologia: Esta pesquisa configura uma análise epidemiológica descritiva voltada para a investigação de casos de hemangioma e linfangioma em nascidos vivos no Brasil. A coleta de dados será conduzida por meio do Sistema de Informações sobre Nascidos Vivos (SINASC) no período compreendido entre 2017 e 2021. Resultado: Na região Norte, foram registrados 25 casos, representando 4,86% do total de nascidos vivos com hemangioma e linfangioma na amostra. Já na região Nordeste, essa proporção é um pouco maior, com 76 casos, correspondendo a 14,79% do total. O Sudeste detém a maior proporção, com 316 casos, representando expressivos 61,48% da amostra. Na região Sul, foram registrados 69 casos, compreendendo 13,42% do total. Por fim, na região Centro-Oeste, foram contabilizados 28 casos, representando 5,45% da amostra. Conclusão: Essa análise minuciosa das variáveis relacionadas a nascidos vivos com essas condições proporciona insights valiosos que transcendem a simples compreensão numérica. A relevância desse perfil é evidente ao considerar vários aspectos

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost