SEPSE EM UNIDADES DE TERAPIA INTENSIVA: UMA REVISÃO INTEGRATIVA ACERCA DOS FATORES DE RISCO

Sepsis, a serious syndrome triggered by an uncontrolled body response to an infection, is one of the main causes of morbidity and mortality in Intensive Care Units around the world. Several factors increase the risk of developing sepsis in patients in these units, requiring attention and preventive measures. This article consists of an integrative review, which aims to discuss the risk factors of sepsis in Intensive Care Units, through considerations about sepsis and sepsis in Intensive Care Units, with the aim of expanding students' knowledge and professionals in the field on the topic in question. This is an integrative review, in which a search was carried out in the databases. In general, the increase in the incidence of sepsis is mainly related to the aging of the population, exposure to invasive procedures, compromised immunity, use of immunosuppressive medications, alcoholism, malnutrition, diabetes mellitus and infections with antibiotic-resistant bacteria. Sepsis remains a significant challenge in Intensive Care Units, with several risk factors contributing to its development and worsening. Understanding these elements is crucial to early identify patients in situations of greater vulnerability, implement effective preventive and therapeutic measures, aiming to reduce the incidence and impacts of this serious condition. Careful control and management of these risk factors can significantly improve the prognosis and survival of patients with sepsis in Intensive Care Units.A sepse, uma síndrome grave desencadeada por uma resposta descontrolada do organismo a uma infecção, é uma das principais causas de morbidade e mortalidade em Unidades de Terapia Intensiva ao redor do mundo. Diversos fatores aumentam o risco de desenvolvimento de sepse em pacientes nessas unidades, exigindo atenção e medidas preventivas. O presente artigo consiste em uma revisão integrativa, o qual tem como objetivo discorrer acerca dos fatores de risco da sepse em Unidades de Terapia Intensiva, mediante considerações acerca de sepse e de sepse em Unidades de Terapia Intensiva, no intuito de ampliar os conhecimentos de estudantes e profissionais da área sobre o tema em questão. Trata-se de uma revisão integrativa, na qual foi realizada uma pesquisa nas bases de dados. De modo geral, o aumento da incidência de sepse está principalmente relacionado ao envelhecimento da população, exposição a procedimentos invasivos, imunidade comprometida, uso de medicamentos imunossupressores, alcoolismo, desnutrição, diabetes mellitus e infecções por bactérias resistentes a antibióticos. A sepse continua sendo um desafio significativo em Unidades de Terapia Intensiva, com diversos fatores de risco contribuindo para o seu desenvolvimento e agravamento. A compreensão desses elementos é crucial para identificar precocemente os pacientes em situação de maior vulnerabilidade, implementar medidas preventivas e terapêuticas eficazes, visando reduzir a incidência e os impactos dessa condição grave. O controle e a gestão cuidadosa desses fatores de risco podem melhorar, significativamente, o prognóstico e a sobrevida dos pacientes com sepse em Unidades de Terapia Intensiva

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

Transtorno bipolar em crianças: análise de relato de caso 2018-2023

O transtorno bipolar em crianças é uma realidade clínica que demanda atenção especializada. A compreensão dos sintomas, fatores de risco, prevalência e desafios diagnósticos é fundamental para proporcionar intervenções precoces e adequadas, visando melhorar a qualidade de vida desses jovens e reduzir o impacto a longo prazo dessa condição psiquiátrica. Trata-se de um estudo cujo objetivo foi objetivo revisar relatos de caso publicados entre 2018 e 2023 sobre transtorno bipolar em crianças, identificando o estado da arte desses estudos. Para isso, se realizou uma revisão sistemática de literatura utilizando as bases de dados Medical Literature Analysis and Retrieval System Online (MEDLINE), Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS) e Scientific Electronic Library Online (SCIELO). Com a análise e interpretação qualitativa dos resultados, a principal conclusão deste estudo é que o transtorno bipolar na infância é uma condição complexa, manifestando-se com comportamentos consistentes com o Transtorno de Conduta e sendo influenciado por fatores ambientais, familiares e genéticos. O tratamento eficaz requer uma abordagem multidisciplinar, integrando intervenções farmacológicas e não farmacológicas, personalizadas conforme as necessidades individuais. A supervisão familiar é crucial para a adesão ao tratamento, mas reconhece-se a necessidade contínua de pesquisa para aprimorar as estratégias terapêuticas diante da diversidade de casos

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

Microbiological quality of honey from stingless bee, jandaíra (Melipona subnitida), from the semiarid region of Brazil

ABSTRACT: The aim of this study was to evaluate the presence of microorganisms in honey produced by the stingless bee (SB) jandaíra (Melipona subnitida) from the semiarid region of Brazil. Thirty-five samples were analyzed and all of them were positive for mesophilic bacteria, coliforms at 45°C, fungi, and yeast. Staphylococcus spp. were identified in 85.7%, while Bacillus spp. were detected in 34.3% of honey samples. DNAs of Clostridium perfringens and C. botulinum were detected in 40% and 2.8% of the samples, respectively. Salmonella spp. and C. difficile were not detected. The present research revealed a great diversity of microorganisms in honey produced by jandaíra