Perfil epidemiológico das internações por neoplasia maligna de pâncreas nos últimos 5 anos no Brasil / Epidemiological profile of hospitalizations for malignant pancreatic neoplasia in the last 5 years in Brazil

A neoplasia de pâncreas caracteriza-se por sua elevada mortalidade, apesar dessa doença não ser tão comum, observa-se que, nos últimos cinco anos, no Brasil, houve um aumento gradativo no registros de internações por essa doença, destaque para as regiões Sudeste com o maior número de casos, 49,6%, seguida pela região Sul com 25,9%. No presente estudo foram analisadas as seguintes variantes: internação, caráter de atendimento, regiões do país, sexo, raça/etnia, faixa etária e número de óbitos

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

Análise do aprazamento de enfermagem em uma UTI: foco na segurança do paciente

Objective: The study’s goal has been to identify the nonconformities related to drug use. Methods: It is a descriptive and cohort study, which has performed file analysis and has utilized a quantitative approach for data analysis. The study was carried out at a General Intensive Care Unit from a university hospital in Rio de Janeiro city. Results: By the analysis of 362 prescriptions were found the following nonconformities: drug administration schedule at intervals not consistent with the prescription (80.5%); the stamp absence from the appointment responsible person (46%); medications either dispensed by medical discretion or suspended, and also under a SOS situation (19%); and among others. Conclusion: The following are the recommended nursing actions that could be performed as barriers toward the nonconformities found by this study: double-checking continuity; designing a guide for drug administration scheduling; having a private place for the execution of drug administration scheduling; using a signal on the apparel of the appointment responsible person; and also performing the drug administration schedule over a digital system in order to avoid drug interactions.Objetivo: Identificar as não conformidades relacionadas ao aprazamento medicamentoso. Método: Trata-se de um estudo transversal, descritivo, com análise documental e abordagem quantitativa, realizado em uma Unidade de Terapia Intensiva Geral de um hospital universitário do Rio de Janeiro. Resultados: Foram analisadas 362 prescrições. As não conformidades encontradas foram: aprazamento com intervalos não condizentes com a prescrição (80,5%), ausência do carimbo do responsável pelo aprazamento (46%), aprazamento em medicações à critério médico ou suspensas (19%), dentre outros. Conclusão: Ações de enfermagem que poderiam ser realizadas como barreiras frente as não conformidades encontradas seriam: continuação da dupla checagem, elaboração de um guia para o aprazamento; um local privativo para a realização do aprazamento ou utilização de uma sinalização na roupa do aprazador e aprazamento com sistema digital a fim de evitar interações.Objetivo: Identificar los casos de incumplimiento relacionados con aprazamento drogas. Método: Se trata de un estudio descriptivo, con análisis documental y el enfoque cuantitativo, realizado en una UCI polivalente de un hospital universitario de Río de Janeiro. Resultados: Se analizaron 362 prescripciones. Las no conformidades encontradas fueron: aprazamento con intervalos inconsistentes a la prescripción (80,5%), ausencia del sello responsable de aprazamento (46%), aprazamento en medicamentos SOS, ACM o suspendida (19%), entre otros. Conclusión: Las acciones de enfermería que podrían llevarse a cabo como barreras contra el error sería: continuaron doble verificación, la preparación de una guía para aprazamento; un lugar privado para el aprazamento o el uso de una señal en aprazador prendas de vestir y aprazamento con sistema digital para evitar interacciones