72 research outputs found
Trauma em gestantes: condutas quanto ao uso diagnóstico de exames com radiação ionizante
Introdução: Trauma é a principal causa de morte em mulheres gestantes excluindo as causas obstétricas. Os estudos por imagem fornecem complementação às informações trazidas pelo exame clínico nesses casos. Porém, haja vista a exposição à radiação ionizante provocada por exames como a tomografia computadorizada (TC), seu uso deve ser sempre discutido de forma particular em cada caso. Objetivo: avaliar quais os fatores influenciam na tomada de decisão a respeito do uso de exames a base de radiação ionizante. Metodologia: Trata-se de uma revisão integrativa na base de dados PUBMED utilizando os descritores “Pregnancy And Radiation And (Trauma Or Emergency)’’ para artigos publicados entre 2018 e 2023. DISCUSSÃO: A exposição fetal pode ocasionar efeitos deletérios como a perda espontânea da gravidez e efeitos teratogênicos, porém, a dose relacionada ao aborto é de 50 a 100 mGy ou superior. Assim, entende-se que a preocupação sobre a radiação a que o feto será exposto nunca deverá anteceder a atenção ao cuidado prestado à mãe no acolhimento inicial pós trauma. Conclusão: A garantia de vida ao feto está condicionada à manutenção da vida materna. Se possível, exames de imagem feitos por equipamento modernos que exponha a mãe e o feto a menores doses de radiação, devem ser utilizados. A RM pode ser uma alternativa para pacientes estáveis em que quer se evitar a exposição à radiação apresentada pela TC
Diagnosing congenital toxoplasmosis: where are we? A systematic review
Purpose: Compile information on laboratory methods for diagnosis of congenital toxoplasmosis, considering the tests conducted since the gestational stage until the child period. Methods:A systematic review of 01.01.2006 to 31.12.2013 was held by VHL (Virtual Health Library). The search was performed with the descriptors ''toxoplasmosis†and “diagnosis. The selected articles were indexed in MEDLINE. The information pertinent to the study was selected, categorized and analyzed. Of the 186 articles found, 41 met the eligibility criteria. Results: Laboratory tests are based on the presence of antibodies IgM and IgG anti-Toxoplasma gondii, in this sense it is important to correctly interpret serology, because the detection of specific antibodies is often delayed by the presence of maternal IgG or late production of specific antibodies in newborns. Molecular techniques (PCR) have emerged as alternative due to its higher sensitivity and specificity in diagnosing instruments, given the ability to detect parasite DNA and non-dependence of the immune response of the patient, such as serological tests.Conclusions: The need for early treatment of congenital toxoplasmosis in order to avoid sequelae justifies the search for more sensitive and specific laboratory tests in early detection of the parasite. Theintegration among the different levels of care in the public health system is essential for obtaining effective control of toxoplasmosis in pregnant women.Â
Phylogenetic relationship of dengue virus type 3 isolated in Brazil and Paraguay and global evolutionary divergence dynamics
Background: Dengue is the most important mosquito-borne viral disease worldwide. Dengue virus comprises four antigenically related viruses named dengue virus type 1 to 4 (DENV1-4). DENV-3 was re-introduced into the Americas in 1994 causing outbreaks in Nicaragua and Panama. DENV-3 was introduced in Brazil in 2000 and then spread to most of the Brazilian States, reaching the neighboring country, Paraguay in 2002. In this study, we have analyzed the phylogenetic relationship of DENV-3 isolated in Brazil and Paraguay with viruses isolated worldwide. We have also analyzed the evolutionary divergence dynamics of DENV-3 viruses. Results: The entire open reading frame (ORF) of thirteen DENV-3 isolated in Brazil (n = 9) and Paraguay (n = 4) were sequenced for phylogenetic analysis. DENV-3 grouped into three main genotypes (I, II and III). Several internal clades were found within each genotype that we called lineage and sub-lineage. Viruses included in this study belong to genotype III and grouped together with viruses isolated in the Americas within the lineage III. The Brazilian viruses were further segregated into two different sub-lineage, A and B, and the Paraguayan into the sub-lineage B. All three genotypes showed internal grouping. The nucleotide divergence was in average 6.7% for genotypes, 2.7% for lineages and 1.5% for sub-lineages. Phylogenetic trees constructed with any of the protein gene sequences showed the same segregation of the DENV-3 in three genotypes. Conclusion: Our results showed that two groups of DENV-3 genotypes III circulated in Brazil during 2002-2009, suggesting different events of introduction of the virus through different regions of the country. In Paraguay, only one group DENV-3 genotype III is circulating that is very closely related to the Brazilian viruses of sub-lineage B. Different degree of grouping can be observed for DENV-3 and each group showed a characteristic evolutionary divergence. Finally, we have observed that any protein gene sequence can be used to identify the virus genotype.Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP PRONEX REDE DENGUE) [2010/50432-6]Instituto Nacional de Ciencia e Tecnologia (INCT) em Dengu
University Extension of Elderly Health and Potency for Medical Training
Objective: To present the potential of university extension for medical training, based on the perception of extension workers.
Method: This is an exploratory descriptive study, with a qualitative approach, carried out with medical students, former students of the university extension project of the elderly health. Wheels of conversations were made to base empirical production on a semi-structured interview script. The analysis was performed using Fiorin's speech analysis technique.
Results: It was possible to verify, in this research, the power of the university extension in the medical training, the impact generated in the accompanied elderly people and the importance of the production of bond. It was also verified the importance of providing students with more projects that can give a return to society and foster in students the need not to stop only the pathology, but mainly to awaken the motivation for a humanized and integral care.
Conclusion: The university extension provides an approximation with the community, through the bond and accountability between the academic and the elderly. In addition, it allows to contribute to improve and implant the sense of citizenship in the life of individuals.
Key words: Health of the institutionalized elderly, Medicine, Collective Health
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
SARS-CoV-2 introductions and early dynamics of the epidemic in Portugal
Genomic surveillance of SARS-CoV-2 in Portugal was rapidly implemented by
the National Institute of Health in the early stages of the COVID-19 epidemic, in collaboration
with more than 50 laboratories distributed nationwide.
Methods By applying recent phylodynamic models that allow integration of individual-based
travel history, we reconstructed and characterized the spatio-temporal dynamics of SARSCoV-2 introductions and early dissemination in Portugal.
Results We detected at least 277 independent SARS-CoV-2 introductions, mostly from
European countries (namely the United Kingdom, Spain, France, Italy, and Switzerland),
which were consistent with the countries with the highest connectivity with Portugal.
Although most introductions were estimated to have occurred during early March 2020, it is
likely that SARS-CoV-2 was silently circulating in Portugal throughout February, before the
first cases were confirmed.
Conclusions Here we conclude that the earlier implementation of measures could have
minimized the number of introductions and subsequent virus expansion in Portugal. This
study lays the foundation for genomic epidemiology of SARS-CoV-2 in Portugal, and highlights the need for systematic and geographically-representative genomic surveillance.We gratefully acknowledge to Sara Hill and Nuno Faria (University of Oxford) and
Joshua Quick and Nick Loman (University of Birmingham) for kindly providing us with
the initial sets of Artic Network primers for NGS; Rafael Mamede (MRamirez team,
IMM, Lisbon) for developing and sharing a bioinformatics script for sequence curation
(https://github.com/rfm-targa/BioinfUtils); Philippe Lemey (KU Leuven) for providing
guidance on the implementation of the phylodynamic models; Joshua L. Cherry
(National Center for Biotechnology Information, National Library of Medicine, National
Institutes of Health) for providing guidance with the subsampling strategies; and all
authors, originating and submitting laboratories who have contributed genome data on
GISAID (https://www.gisaid.org/) on which part of this research is based. The opinions
expressed in this article are those of the authors and do not reflect the view of the
National Institutes of Health, the Department of Health and Human Services, or the
United States government. This study is co-funded by Fundação para a Ciência e Tecnologia
and Agência de Investigação Clínica e Inovação Biomédica (234_596874175) on
behalf of the Research 4 COVID-19 call. Some infrastructural resources used in this study
come from the GenomePT project (POCI-01-0145-FEDER-022184), supported by
COMPETE 2020 - Operational Programme for Competitiveness and Internationalisation
(POCI), Lisboa Portugal Regional Operational Programme (Lisboa2020), Algarve Portugal
Regional Operational Programme (CRESC Algarve2020), under the PORTUGAL
2020 Partnership Agreement, through the European Regional Development Fund
(ERDF), and by Fundação para a Ciência e a Tecnologia (FCT).info:eu-repo/semantics/publishedVersio
Evaluation of the characteristics of infection prevention and control programs and infection control committees in Brazilian hospitals: A countrywide cross-sectional study – CORRIGENDUM
Community-Level Responses to Iron Availability in Open Ocean Plankton Ecosystems
Predicting responses of plankton to variations in essential nutrients is hampered by limited in situ measurements, a poor understanding of community composition, and the lack of reference gene catalogs for key taxa. Iron is a key driver of plankton dynamics and, therefore, of global biogeochemical cycles and climate. To assess the impact of iron availability on plankton communities, we explored the comprehensive bio-oceanographic and bio-omics data sets from Tara Oceans in the context of the iron products from two state-of-the-art global scale biogeochemical models. We obtained novel information about adaptation and acclimation toward iron in a range of phytoplankton, including picocyanobacteria and diatoms, and identified whole subcommunities covarying with iron. Many of the observed global patterns were recapitulated in the Marquesas archipelago, where frequent plankton blooms are believed to be caused by natural iron fertilization, although they are not captured in large-scale biogeochemical models. This work provides a proof of concept that integrative analyses, spanning from genes to ecosystems and viruses to zooplankton, can disentangle the complexity of plankton communities and can lead to more accurate formulations of resource bioavailability in biogeochemical models, thus improving our understanding of plankton resilience in a changing environment
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
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