Ventricular Septal Rupture after Acute Coronary Syndrome

Objective: Ventricular septal rupture (VSR) is a rare but serious complication of acute myocardial infarction, which occurs in about 0.2 to 0.3% of patients with myocardial ischemia. If early therapy is not initiated, 90% of patients with VSR will die within the first month. This study aimed to evaluate the epidemiological and clinical characteristics of patients with VSR as a mechanical complication of acute myocardial infarction. Methods: A prospective study was conducted among nine patients who presented to the Cardiovascular Emergency Room of Pernambuco with acute coronary syndrome with ST segment elevation and VSR complications. Results: There were five women and 4 men, and the mean age of the patients was 72.5 years. The median time from the onset of the symptoms of acute coronary syndrome with ST segment elevation to the diagnosis of VSR was 3.5 days. Among the nine patients included in the study, three were treated surgically. Of all the patients, including those who underwent corrective surgery, eight patients died, 44.4% (N = 4), in the first four days after AMI. Conclusion: VSR occurs more frequently among elderly patients with multi-arterial involvement, lower wall infarction, and involvement of the right coronary artery. The prognosis is extremely limited, especially in patients who are already admitted to the cardiac emergency room with Killip IV, with > 24 hours of clinical evolution, and do not require surgical correction.Facultad de Ciencias Médica

Diagnóstico dos resíduos de demolição e construção no Brasil/ Diagnosis of demolition and construction waste in Brazil

Os Resíduos de Demolição e Construção - RDC apresentam sérios problemas de ordem estética, ambiental e de saúde pública, devido principalmente ao crescimento urbano desordenada e a falta de locais adequados para disposição final desses materiais o que justifica o objetivo desta pesquisa, que é verificar quais fatores tem influenciado os RDCs no Brasil. O método aplicado foi o dedutivo. Esta pesquisa foi exploratória de natureza aplicada. A coleta dos dados secundários foi efetuada a partir de acesso a plataforma de dados livres do Panorama dos Resíduos Sólidos no Brasil publicado pela Associação Brasileira de Empresas de Limpeza Pública e Resíduos Especiais – ABRELPE. Foi efetuada uma análise quantiqualitativa do crescimento populacional e do índice de RDC coletado entre os anos de 2014 e 2018, para verificar a correlação entre essas variáveis em cada Região do Brasil e verificar quais variáveis influenciam esta problemática. A cinco Regiões do Brasil não apresentaram o crescimento populacional como fator de forte influência na taxa de RDC coletados no quinquênio desta análise, dessa forma outros fatores estão atrelados a esta ação como: Perdas no processamento relacionadas a ineficiência nos métodos de trabalho e mão de obra desqualificada além de perdas nos estoques: associado ao armazenamento inadequado dos materiais, assim como o excesso de estoque. Houve tendencia de diminuição de coleta dos RDC nas cinco Regiões brasileiras mesmo com o crescimento populacional constante. Entretanto, a Região Norte apresenta as menores produções per captas das cinco regiões brasileira, sendo influenciada pela baixa influencia econômica da construção civil deste período. A variável crescimento populacional não tem influência direta com os RDC coletados nas cinco regiões do país

Impactos ambientais no solo advindos do processo de abertura e duplicação de rodovias / Environmental impacts on the soil resulting from the opening and duplication of highways

Um dos maiores impactos causados pelas rodovias ocorre justamente durante o período de operação, no qual, o mau gerenciamento das áreas ou a falta de planejamento territorial facilitam o surgimento de entraves ambientais. Estes fatos justificam esta pesquisa, cujo objetivo é efetuar uma avaliação dos principais impactos ambientais no solo avindos do processo de abertura e duplicação de rodovias. Esta análise prioriza documentos secundários, que tem por objetivo reunir estudos semelhantes, publicados, avaliando-os criticamente em sua metodologia e reunindo-os numa análise estatística, para posterior seleção das variáveis. Foram analisadas minuciosamente as variáveis objeto desta pesquisa: supressão vegetal, compactação, erosão (Erodibilidade e Erosividade), deslizamento e contaminação do solo. No processo de busca no banco de dados, foram analisados 64 trabalhos acadêmicos referentes às cinco variáveis. A análise dos dados obtidos indicou que a supressão vegetal apresentou maior frequência relativa (fr=29,6%), no que fomenta que tal impacto demonstra ser abordado com bastante frequência por pesquisadores, se comparado com as demais, superada apenas pela variável Erosão (fr=32,8%). Quanto à contaminação do solo, a análise dos dados obtidos indicou que a frequência relativa (fi=9,3%) dos artigos observados abordam esse impacto, o que representa o menor percentual em relação às demais variáveis. Dessa forma, torna-se necessário abordar de forma conjunta e igualitária todos os impactos ambientais causados na abertura e duplicação de rodovias, pois há carência de pesquisas que abordem diretamente as variáveis analisadas neste trabalho, com destaque para a contaminação do solo, que apresentou a menor frequência, a qual evidencia tal problemática.

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

Ventricular Septal Rupture after Acute Coronary Syndrome

Objective: Ventricular septal rupture (VSR) is a rare but serious complication of acute myocardial infarction, which occurs in about 0.2 to 0.3% of patients with myocardial ischemia. If early therapy is not initiated, 90% of patients with VSR will die within the first month. This study aimed to evaluate the epidemiological and clinical characteristics of patients with VSR as a mechanical complication of acute myocardial infarction. Methods: A prospective study was conducted among nine patients who presented to the Cardiovascular Emergency Room of Pernambuco with acute coronary syndrome with ST segment elevation and VSR complications. Results: There were five women and 4 men, and the mean age of the patients was 72.5 years. The median time from the onset of the symptoms of acute coronary syndrome with ST segment elevation to the diagnosis of VSR was 3.5 days. Among the nine patients included in the study, three were treated surgically. Of all the patients, including those who underwent corrective surgery, eight patients died, 44.4% (N = 4), in the first four days after AMI. Conclusion: VSR occurs more frequently among elderly patients with multi-arterial involvement, lower wall infarction, and involvement of the right coronary artery. The prognosis is extremely limited, especially in patients who are already admitted to the cardiac emergency room with Killip IV, with > 24 hours of clinical evolution, and do not require surgical correction.Facultad de Ciencias Médica

Seminário de Dissertação (2024)

Página da disciplina de Seminário de Dissertação (MPPP, UFPE, 2022) Lista de participantes == https://docs.google.com/spreadsheets/d/1mrULe1y04yPxHUBaF50jhaM1OY8QYJ3zva4N4yvm198/edit#gid=

Neotropical freshwater fisheries : A dataset of occurrence and abundance of freshwater fishes in the Neotropics

The Neotropical region hosts 4225 freshwater fish species, ranking first among the world's most diverse regions for freshwater fishes. Our NEOTROPICAL FRESHWATER FISHES data set is the first to produce a large-scale Neotropical freshwater fish inventory, covering the entire Neotropical region from Mexico and the Caribbean in the north to the southern limits in Argentina, Paraguay, Chile, and Uruguay. We compiled 185,787 distribution records, with unique georeferenced coordinates, for the 4225 species, represented by occurrence and abundance data. The number of species for the most numerous orders are as follows: Characiformes (1289), Siluriformes (1384), Cichliformes (354), Cyprinodontiformes (245), and Gymnotiformes (135). The most recorded species was the characid Astyanax fasciatus (4696 records). We registered 116,802 distribution records for native species, compared to 1802 distribution records for nonnative species. The main aim of the NEOTROPICAL FRESHWATER FISHES data set was to make these occurrence and abundance data accessible for international researchers to develop ecological and macroecological studies, from local to regional scales, with focal fish species, families, or orders. We anticipate that the NEOTROPICAL FRESHWATER FISHES data set will be valuable for studies on a wide range of ecological processes, such as trophic cascades, fishery pressure, the effects of habitat loss and fragmentation, and the impacts of species invasion and climate change. There are no copyright restrictions on the data, and please cite this data paper when using the data in publications