Prevalência das principais complicações pós-operatórias em cirurgias cardíacas: uma revisão sistemática: Prevalence of major postoperative complications in cardiac surgeries: a systematic review

As complicações pós-operatórias em cirurgias cardíacas são comuns e contribuem para o aumento dos índices de morbidade e mortalidade. Objetivo: identificar em trabalhos da literatura as principais complicações no pós-operatório de cirurgias cardíacas. Material e Método: Revisão de literatura sobre as principais complicações no pós-operatório de cirurgia cardíaca. A busca foi realizada em outubro de 2022 nas fontes de dados: PubMed e Web of Science. Resultados: O processo de busca resultou em 2.744 documentos. Após primeira seleção 215 trabalhos tiveram os seus títulos e resumos analisados para uma triagem inicial. A amostra final foi de 04 estudos. As complicações da cirurgia cardíaca podem estar relacionadas a doenças pré-existentes. Forma identificadas como complicações distúrbios de sono, hepatopatia cardíaca pós-operatória, síndrome da apneia e hipopneia obstrutiva do sono (SAHOS) e arritmias. Conclusões: As complicações apresentaram prevalências diferentes nos estudos analisados e devem ser consideradas em mais estudos para melhor compreensão de fatores correlacionados auxiliando na sua prevenção e controle

Farmacologia clínica da doença de Parkinson: Clinical pharmacology of Parkinson's disease

As patologias neurodegenerativas cursam com depleção progressiva e irreversível dos neurônios existentes em regiões específicas do cérebro. A Doença de Parkinson (DP) é um protótipo, na qual o extravio neuronal do hipocampo e do córtex resulta em déficit de memória e disfunção cognitiva. O seguinte artigo objetivou descrever de modo narrativo as considerações clínicas da doença de Parkinson que justifiquem a ação farmacológica dos fármacos empregados em sua terapêutica. Atualmente, a intervenção farmacológica e a cirúrgica não são capazes de reverter o quadro clínico, mas evitam a progressão da morbimortalidade da DP. O tratamento é individual, baseado na reação específica, o quadro clínico, resposta farmacológica e aspectos socioeconômicos, ocupacionais e emocionais. A finalidade se baseia em perpetuar a autonomia e funcionalidade, o máximo de tempo possível. A escolha dos fármacos mais apropriados para cada paciente e o início do tratamento e o acompanhamento ao longo da evolução são etapas difíceis. Devido a cronicidade, o tratamento deve continuar por toda a vida, considerando que os fármacos e suas doses mudam com o tempo, o surgimento de efeitos adversos

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

Subdoses of 17DD yellow fever vaccine elicit equivalent virological/immunological kinetics timeline

Submitted by Nuzia Santos ([email protected]) on 2015-03-02T18:59:13Z No. of bitstreams: 1 2014_133.pdf: 1767507 bytes, checksum: 7391488fb6c7b01f4d8694e5da140f58 (MD5)Approved for entry into archive by Nuzia Santos ([email protected]) on 2015-03-02T18:59:19Z (GMT) No. of bitstreams: 1 2014_133.pdf: 1767507 bytes, checksum: 7391488fb6c7b01f4d8694e5da140f58 (MD5)Approved for entry into archive by Nuzia Santos ([email protected]) on 2015-03-02T19:12:15Z (GMT) No. of bitstreams: 1 2014_133.pdf: 1767507 bytes, checksum: 7391488fb6c7b01f4d8694e5da140f58 (MD5)Made available in DSpace on 2015-03-02T19:12:15Z (GMT). No. of bitstreams: 1 2014_133.pdf: 1767507 bytes, checksum: 7391488fb6c7b01f4d8694e5da140f58 (MD5) Previous issue date: 2014Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Belo Horizonte, Minas Gerais, Brasil.Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Belo Horizonte, Minas Gerais, Brasil.Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Belo Horizonte, Minas Gerais, Brasil.Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Belo Horizonte, Minas Gerais, Brasil.Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Belo Horizonte, Minas Gerais, Brasil.Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Belo Horizonte, Minas Gerais, Brasil.Fundação Oswaldo Cruz. Bio-Manguinhos. Rio de Janeiro,RJ, Brasil.Fundação Oswaldo Cruz. Bio-Manguinhos. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Bio-Manguinhos. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Bio-Manguinhos. Rio de Janeiro, Brasil.Fundação Oswaldo Cruz. Bio-Manguinhos. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Bio-Manguinhos. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Bio-Manguinhos. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Bio-Manguinhos. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Bio-Manguinhos. Rio de Janeiro, RJ, Brasil.Instituto de Biologia do Exército. Rio de Janeiro, RJ, Brasil.Instituto de Biologia do Exército. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Bio-Manguinhos. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Bio-Manguinhos. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Belo Horizonte, Minas Gerais, Brasil.Fundação Oswaldo Cruz. Bio-Manguinhos. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Belo Horizonte, Minas Gerais, Brasil.Background: The live attenuated 17DD Yellow Fever vaccine is one of the most successful prophylactic interventions for controlling disease expansion ever designed and utilized in larger scale. However, increase on worldwide vaccine demands and manufacturing restrictions urge for more detailed dose sparing studies. The establishment of complementary biomarkers in addition to PRNT and Viremia could support a secure decision-making regarding the use of 17DD YF vaccine subdoses. The present work aimed at comparing the serum chemokine and cytokine kinetics triggered by five subdoses of 17DD YF Vaccine. Methods: Neutralizing antibody titers, viremia, cytokines and chemokines were tested on blood samples obtained from eligible primary vaccinees. Results and discussion: The results demonstrated that a fifty-fold lower dose of 17DD-YF vaccine (587 IU) is able to trigger similar immunogenicity, as evidenced by significant titers of anti-YF PRNT. However, only subdoses as low as 3,013 IU elicit viremia kinetics with an early peak at five days after primary vaccination equivalent to the current dose (27,476 IU), while other subdoses show a distinct, lower in magnitude and later peak at day 6 post-vaccination. Although the subdose of 587 IU is able to trigger equivalent kinetics of IL-8/CXCL-8 and MCP-1/CCL-2, only the subdose of 3,013 IU is able to trigger similar kinetics of MIG/CXCL-9, pro-inflammatory (TNF, IFN-γ and IL-2) and modulatory cytokines (IL-5 and IL-10). Conclusions: The analysis of serum biomarkers IFN-γ and IL-10, in association to PRNT and viremia, support the recommendation of use of a ten-fold lower subdose (3,013 IU) of 17DD-YF vaccine

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora