109 research outputs found

    Evaluation of neuromotor development by means of the Harris Infant Neuromotor Test

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    Objetivo: Investigar el desarrollo neuromotor de los niños en riesgo entre tres y 12 meses de vida, por medio de la versión brasileña del Harris Infant Neuromotor Test (HINT). Método: Estudio longitudinal con 78 niños y 76 padres egresados ​​de una Unidad de Cuidados Intensivos Neonatales en Fortaleza-CE, Brasil. Se aplicaron dos instrumentos: HINT y un cuestionario socioeconómico, entre los meses de julio de 2009 a agosto de 2010. Se analizaron 55 niños prematuros y 23 niños nacidos de término. Resultados: Las puntuaciones medias finales oscilaron entre 14,6 a 25,2 y 11,2 a 24,7 para los recién nacidos prematuros y de término respectivamente. El 91% de los niños mostraron un buen desempeño neuromotor y siete recién nacidos prematuros mostraron alteraciones, lo que implicó la derivación de tres niños a un servicio especializado para exámenes y diagnósticos. Conclusión: El test permitió a los enfermeros evaluar el desarrollo infantil, identificar precozmente la presencia de desviaciones y planificar intervenciones.
Objective: To investigate the neuromotor development of at-risk children between three and 12 months of life, administering the Brazilian version of the Harris Infant Neuromotor Test (HINT).Method: A longitudinal study, with 78 children and 76 parents/guardians discharged from a neonatal intensive care unit in Fortaleza-CE/Brazil. Two instruments were administered: HINT and a socioeconomic questionnaire, between July/2009 to August/2010. Data from 55 preterm and 23 term children were analyzed. Results: The final mean scores ranged from 14.6 to 25.2 and from 11.2 to 24.7, for preterm and term, respectively, showing that 91% of children demonstrated good neuromotor performance; seven premature infants showed alterations which led to the referral of three children to a specialized clinic for examination and diagnostics.Conclusion: The test allowed nurses to assess infant development, identify deviations early, and plan interventions.Objetivo: Investigar o desenvolvimento neuromotor das crianças de risco, entre três e 12 meses de vida, aplicando o Harris Infant Neuromotor Test (HINT), na versão brasileira.Método: Estudo longitudinal, com 78 crianças e 76 pais/responsáveis egressos de Unidade de Terapia Intensiva Neonatal, em Fortaleza-CE/Brasil. Aplicaram-se dois instrumentos: HINT e questionário socioeconômico, de julho/2009 a agosto/2010. Analisaram-se 55 crianças nascidas prematuras e 23 a termo. Resultados: A média final dos escores variou de 14,6 a 25,2 e 11,2 a 24,7, para os prematuros e a termo, respectivamente, mostrando que 91% das crianças evidenciaram bom desempenho neuromotor e sete, nascidas prematuras, apresentaram alterações, o que implicou encaminhamento de três crianças ao serviço especializado para exames e diagnósticos. Conclusão: O teste possibilitou aos enfermeiros avaliar o desenvolvimento infantil, identificar desvios precoces e planejar intervenções.

    Fatores de risco cardiovascular em pessoas privadas de liberdade: revisão integrativa

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    RESUMOObjetivo: Investigar as evidências científicas sobre os fatores de risco mais frequentes para doenças cardiovasculares em pessoasprivadas de liberdade.Métodos: Revisão integrativa de literatura realizada nas bases de dados CINAHL, Medline/Pubmed, Scopus, LILACS, CUIDEN, Webof Science e no portal da Biblioteca Virtual de Saúde utilizando os descritores doenças cardiovasculares, fatores de risco, prisões,prisioneiros.Resultados: A amostra final foi de 17 artigos originais publicados nas línguas inglesa e espanhola. O sobrepeso e a obesidade foramos fatores de risco cardiovascular mais citados além da diabetes, hipertensão, tabagismo, dislipidemia, consumo de álcool e outrasdrogas, sedentarismo, síndrome metabólica, ansiedade, depressão e dieta pouco saudável para o coração.Conclusões: Os fatores de risco mais frequentes para as doenças cardiovasculares nas pessoas privadas de liberdade foram osclassificados como modificáveis. No meio prisional, esses fatores são potencializados em virtude de um ambiente com poucasoportunidades de modificação desses.Palavras-chave: Doenças cardiovasculares. Fatores de risco. Prisões. Prisioneiros

    Evaluation of neuromotor development by means of the Harris Infant Neuromotor Test

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    Objective: To investigate the neuromotor development of at-risk children between three and 12 months of life, administering the Brazilian version of the Harris Infant Neuromotor Test (HINT).Method: A longitudinal study, with 78 children and 76 parents/guardians discharged from a neonatal intensive care unit in Fortaleza-CE/Brazil. Two instruments were administered: HINT and a socioeconomic questionnaire, between July/2009 to August/2010. Data from 55 preterm and 23 term children were analyzed. Results: The final mean scores ranged from 14.6 to 25.2 and from 11.2 to 24.7, for preterm and term, respectively, showing that 91% of children demonstrated good neuromotor performance; seven premature infants showed alterations which led to the referral of three children to a specialized clinic for examination and diagnostics.Conclusion: The test allowed nurses to assess infant development, identify deviations early, and plan interventions

    Leucemia Linfoblástica Aguda (LLA) na população pediátrica: marcadores moleculares e implicações terapêuticas

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    A Leucemia Linfoblástica Aguda (LLA) é uma forma comum de câncer pediátrico, representando cerca de 80% dos casos de leucemia em crianças. A patologia é caracterizada pela proliferação descontrolada de células-tronco hematopoéticas na medula óssea, e avanços recentes na pesquisa genômica têm proporcionado uma compreensão mais profunda da complexidade molecular subjacente à doença. O presente estudo tem como objetivo oferecer uma visão abrangente dos principais marcadores moleculares e implicações terapêuticas associadas à LLA na população pediátrica. Este estudo, baseado em uma revisão sistemática da literatura científica, abrange o período de 2013 a 2023, utilizando as bases de dados PubMed (Medline), Cochrane Library e Scientific Electronic Library Online (SciELO). Marcadores moleculares preponderantes, como rearranjos cromossômicos específicos (t(12;21), t(1;19), t(9;22)), mutações genéticas distintivas (ETV6-RUNX1, E2A-PBX1, TP53) e amplificação do gene BCR-ABL1, têm sido objeto de estudo aprofundado. Esses marcadores desempenham um papel crucial na estratificação de risco e prognóstico, permitindo uma abordagem mais personalizada no tratamento da LLA em crianças. As implicações terapêuticas derivadas desses marcadores são vastas, destacando a promissora era das terapias direcionadas. Terapias específicas para mutações, como aquelas direcionadas à mutação BCR-ABL1, e inovações em imunoterapia estão moldando o cenário do tratamento da LLA, proporcionando resultados mais eficazes e menos tóxicos. Os resultados destacam a eficácia das terapias direcionadas e a necessidade contínua de pesquisa para otimizar a intervenção terapêutica, melhorar a qualidade de vida dos pacientes pediátricos afetados pela LLA e explorar novas facetas do tratamento. Em conclusão, este artigo fornece uma análise aprofundada dos marcadores moleculares e terapias associadas à LLA na população pediátrica, destacando avanços significativos e delineando áreas para investigação futura

    Mapping density, diversity and species-richness of the Amazon tree flora

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    Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we mapped tree species-diversity and tree species-richness at 0.1-degree resolution, and investigated drivers for diversity and richness. Using only location, stratified by forest type, as predictor, our spatial model, to the best of our knowledge, provides the most accurate map of tree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and species-richness. Large soil-forest combinations determine a significant percentage of the variation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We suggest that the size and fragmentation of these systems drive their large-scale diversity patterns and hence local diversity. A model not using location but cumulative water deficit, tree density, and temperature seasonality explains 47% of the tree species-richness in the terra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual variation may be local. The Guyana Shield area has consistently negative residuals, showing that this area has lower tree species-richness than expected by our models. We provide extensive plot meta-data, including tree density, tree alpha-diversity and tree species-richness results and gridded maps at 0.1-degree resolution

    Geography and ecology shape the phylogenetic composition of Amazonian tree communities

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    AimAmazonia hosts more tree species from numerous evolutionary lineages, both young and ancient, than any other biogeographic region. Previous studies have shown that tree lineages colonized multiple edaphic environments and dispersed widely across Amazonia, leading to a hypothesis, which we test, that lineages should not be strongly associated with either geographic regions or edaphic forest types.LocationAmazonia.TaxonAngiosperms (Magnoliids; Monocots; Eudicots).MethodsData for the abundance of 5082 tree species in 1989 plots were combined with a mega-phylogeny. We applied evolutionary ordination to assess how phylogenetic composition varies across Amazonia. We used variation partitioning and Moran's eigenvector maps (MEM) to test and quantify the separate and joint contributions of spatial and environmental variables to explain the phylogenetic composition of plots. We tested the indicator value of lineages for geographic regions and edaphic forest types and mapped associations onto the phylogeny.ResultsIn the terra firme and várzea forest types, the phylogenetic composition varies by geographic region, but the igapó and white-sand forest types retain a unique evolutionary signature regardless of region. Overall, we find that soil chemistry, climate and topography explain 24% of the variation in phylogenetic composition, with 79% of that variation being spatially structured (R2 = 19% overall for combined spatial/environmental effects). The phylogenetic composition also shows substantial spatial patterns not related to the environmental variables we quantified (R2 = 28%). A greater number of lineages were significant indicators of geographic regions than forest types.Main ConclusionNumerous tree lineages, including some ancient ones (>66 Ma), show strong associations with geographic regions and edaphic forest types of Amazonia. This shows that specialization in specific edaphic environments has played a long-standing role in the evolutionary assembly of Amazonian forests. Furthermore, many lineages, even those that have dispersed across Amazonia, dominate within a specific region, likely because of phylogenetically conserved niches for environmental conditions that are prevalent within regions

    Geography and ecology shape the phylogenetic composition of Amazonian tree communities

    Get PDF
    Aim: Amazonia hosts more tree species from numerous evolutionary lineages, both young and ancient, than any other biogeographic region. Previous studies have shown that tree lineages colonized multiple edaphic environments and dispersed widely across Amazonia, leading to a hypothesis, which we test, that lineages should not be strongly associated with either geographic regions or edaphic forest types. Location: Amazonia. Taxon: Angiosperms (Magnoliids; Monocots; Eudicots). Methods: Data for the abundance of 5082 tree species in 1989 plots were combined with a mega-phylogeny. We applied evolutionary ordination to assess how phylogenetic composition varies across Amazonia. We used variation partitioning and Moran\u27s eigenvector maps (MEM) to test and quantify the separate and joint contributions of spatial and environmental variables to explain the phylogenetic composition of plots. We tested the indicator value of lineages for geographic regions and edaphic forest types and mapped associations onto the phylogeny. Results: In the terra firme and várzea forest types, the phylogenetic composition varies by geographic region, but the igapó and white-sand forest types retain a unique evolutionary signature regardless of region. Overall, we find that soil chemistry, climate and topography explain 24% of the variation in phylogenetic composition, with 79% of that variation being spatially structured (R2^{2} = 19% overall for combined spatial/environmental effects). The phylogenetic composition also shows substantial spatial patterns not related to the environmental variables we quantified (R2^{2} = 28%). A greater number of lineages were significant indicators of geographic regions than forest types. Main Conclusion: Numerous tree lineages, including some ancient ones (>66 Ma), show strong associations with geographic regions and edaphic forest types of Amazonia. This shows that specialization in specific edaphic environments has played a long-standing role in the evolutionary assembly of Amazonian forests. Furthermore, many lineages, even those that have dispersed across Amazonia, dominate within a specific region, likely because of phylogenetically conserved niches for environmental conditions that are prevalent within regions

    Pervasive gaps in Amazonian ecological research

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    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
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