Hemofilia adquirida A e B principais apresentações clínicas da doença de Pott em crianças: Hemofilia adquirida A e B main clinical presentations of Pott disease in children

A hemofilia é uma doença sanguínea caracterizada por distúrbios nos mecanismos de coagulação do sangue, podendo ser de origem hereditária ou adquirida. A hemofilia adquirida ocorre devido à produção de autoanticorpos contra a atividade pró-coagulante dos fatores VIII (Hemofilia A) e IX (Hemofilia B). O objetivo desse trabalho é a realização de um estudo observacional e exploratório sobre os artigos publicados nos últimos 5 anos sobre a hemofilia adquirida A e B, uma vez que é uma enfermidade considerada rara. Dos 68 resultados obtidos na pesquisa, apenas 7 abordaram de forma objetiva sobre o tema, sendo utilizados na confecção do estudo. Segundo a literatura, as manifestações clínicas envolvem sangramento mucocutâneo, urogenital e gastrointestinal, e são mais prevalentes em idosos. Em crianças, o sangramento pode ser menos expressivo, provocando dúvidas quanto ao diagnóstico. O tratamento da hemofilia envolve a reposição dos fatores de coagulação deficientes e o uso de imunossupressores, ainda que nas obras analisadas apenas o tratamento hemostático tenha sido descrito, revelando uma carência de estudos sobre o uso de imunossupressores nos casos de hemofilia adquirida

Síndrome de DiGeorge: um relato de caso: DiGeorge's Syndrome: a case report

O presente artigo objetivou apresentar o caso clínico de uma paciente pediátrica diagnosticada com a síndrome de DiGeorge e que foi admitida no setor de Cardiologia Pediátrica para correção de malformação cardíaca. Este trabalho se trata de um estudo descritivo, do tipo relato de caso, que visou analisar as principais manifestações desse distúrbio genético, bem como suas abordagens diagnósticas e terapêuticas. A criança foi submetida à correção de defeito cardíaco característico da anomalia e evoluiu com parada cardiorrespiratória, prontamente revertida, e com crise convulsiva no pós-operatório. A anomalia possui espectro clínico diverso, com repercussões que impactam sobremaneira no equilíbrio eletrolítico e nos sistemas imunológico e cardiovascular, exigindo reconhecimento em tempo hábil e a adoção de condutas assertivas para reduzir a morbidade do portador

Incidência da síndrome pré-menstrual na prática de esportes: aspectos atuais: Incidence of pre-menstrual syndrome in sports: current aspects

A síndrome pré-menstrual (SPM) é uma constelação complexa de alterações de humor, comportamentais e físicas que se limitam à fase pré-menstrual. Esses sintomas se recuperam dentro de alguns dias após o início da menstruação.  Assim, o objetivo desse estudo é demonstrar a incidência da síndrome pré-menstrual na prática de esportes a partir de uma revisão integrativa sobre o tema. Para isso, foi realizado uma revisão integrativa sobre o tema, onde foi considerado textos publicados desde 2010, em inglês e português e que estejam disponíveis para leitura, no PUBMED, LILACs e Scielo. Esta revisão sistemática fornece algum suporte adicional para diretrizes clínicas que recomendam o exercício como um tratamento eficaz para a TPM. As análises secundárias realizadas também fornecem novas evidências de que o exercício pode ser útil no alívio de sintomas psicológicos, físicos e comportamentais específicos associados à TPM, além de auxiliar no gerenciamento do perfil global de sintomas

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

The biogeography of the Amazonian tree flora

We describe the geographical variation in tree species composition across Amazonian forests and show how environmental conditions are associated with species turnover. Our analyses are based on 2023 forest inventory plots (1 ha) that provide abundance data for a total of 5188 tree species. Withinplot species composition reflected both local environmental conditions (especially soil nutrients and hydrology) and geographical regions. A broader-scale view of species turnover was obtained by interpolating the relative tree species abundances over Amazonia into 47,441 0.1-degree grid cells. Two main dimensions of spatial change in tree species composition were identified. The first was a gradient between western Amazonia at the Andean forelands (with young geology and relatively nutrient-rich soils) and central–eastern Amazonia associated with the Guiana and Brazilian Shields (with more ancient geology and poor soils). The second gradient was between the wet forests of the northwest and the drier forests in southern Amazonia. Isolines linking cells of similar composition crossed major Amazonian rivers, suggesting that tree species distributions are not limited by rivers. Even though some areas of relatively sharp species turnover were identified, mostly the tree species composition changed gradually over large extents, which does not support delimiting clear discrete biogeographic regions within Amazonia

Erratum: Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

Interpretation: By quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning

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