Oxigenoterapia Hiperbárica em Pacientes Submetidos ao Transplante Hepático: Uma Revisão Integrativa

Introdução: Pacientes hepatopatas, geralmente, apresentam um quadro clínico grave que pode se intensificar rapidamente fazendo com que a espera até o transplante de fígado ou o pós-cirúrgico tenha má prognósticos. Com isso, a oxigenoterapia hiperbárica é descrita em alguns estudos como uma alternativa nesses casos por mitigar os efeitos das doenças e do transplante hepático. Objetivo: Descrever os efeitos da oxigenoterapia hiperbárica no pré e no pós-operatório de pacientes submetidos ao transplante hepático. Métodos: Trata-se de uma Revisão Integrativa na base de dados PubMed e Web Of Science. Foi utilizado os descritores: “Hyperbaric oxygenation”, “Liver transplantation” e “Hyperbaric oxygen therapy” com o operador booleano “AND”, e selecionados artigos de relevância para o tema. Inicialmente, foram selecionados 49 artigos, todos publicados nos últimos 20 anos, em português e/ou inglês. Após análise, 6 artigos corresponderam ao objetivo proposto. Resultados: Pode-se verificar que o conteúdo intraoperatório de O2 sistêmico afeta a recuperação pós-operatória em pacientes submetidos ao transplante de fígado. A oxigenoterapia hiperbárica precoce atua como protetor na redução da gravidade da lesão de isquemia/reperfusão dos hepatócitos. A oxigenoterapia hiperbárica também influencia na resposta imune do paciente submetido ao transplante de fígado, reduzindo a incompatibilidade. Ainda sobre os efeitos imunomodulatórios da oxigenoterapia hiperbárica, essa terapia se mostrou eficaz no auxílio da prevenção de infecções pós-operatórias por melhorar a atividade antibacteriana das células imunes e aumentar o efeito bactericida dos antibióticos. Tratando-se de pacientes em lista de espera para transplante de fígado, foi observado após tratamento com a oxigenoterapia a diminuição no número e na intensidade dos episódios de encefalopatia, melhora do prurido e sentimento de bem-estar. No quesito disfunção precoce do aloenxerto, foi demonstrado que pacientes com disfunção apresentaram valores mais baixos de O2 nas fases anepática e neo-hepática, quando comparado com os pacientes sem disfunção no período pósoperatório. Além disso, durante a fase anepática, o conteúdo do nível de SatO2 também foi menor no grupo com disfunção do que nos sem disfunção. Conclusão: A oxigenoterapia hiperbárica é benéfica na preservação do fígado, uma vez que ajuda a manter a função hepática, a prolongar o tempo de preservação do fígado e melhorar o resultado do transplante hepático

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

Characterisation of microbial attack on archaeological bone

As part of an EU funded project to investigate the factors influencing bone preservation in the archaeological record, more than 250 bones from 41 archaeological sites in five countries spanning four climatic regions were studied for diagenetic alteration. Sites were selected to cover a range of environmental conditions and archaeological contexts. Microscopic and physical (mercury intrusion porosimetry) analyses of these bones revealed that the majority (68%) had suffered microbial attack. Furthermore, significant differences were found between animal and human bone in both the state of preservation and the type of microbial attack present. These differences in preservation might result from differences in early taphonomy of the bones. © 2003 Elsevier Science Ltd. All rights reserved