Estratégia saúde da família em uma aldeia indígena localizada no interior do Maranhão / Family health strategy in an indigenous village located inside Maranhão

Introdução: De acordo com o IBGE 2010, o estado do Maranhão possui 38.831 mil indígenas distribuídos em seu território. Dentre os povos indígenas presentes no estado, a etnia Krikati localiza-se em três municípios da região sudoeste e conta com assistência em saúde oferecida por uma UBS localizada em seu território. O objetivo do trabalho é apontar os principais programas executados pela equipe dessa UBS e identificar as principais vulnerabilidades da população adscrita. Metodologia: Trata-se de uma pesquisa documental realizada na UBS Krikati localizada na aldeia São José em Montes Altos, seguida de levantamento de obras presentes nas plataformas Scielo, PubMed e Biblioteca Virtual em Saúde (BVS). Os Descritores em Ciências da Saúde (DeCS) utilizados foram: Saúde indígena, Políticas públicas, Estratégia Saúde da Família e população indígena. Resultados e Discussão: Respeitando os princípios e diretrizes instituídas pela Política Nacional de Atenção à Saúde dos Povos Indígenas, a equipe da unidade da aldeia São José realiza o acompanhamento de grupos populacionais específicos como crianças, adolescentes, adultos e idosos, por meio de visitas domiciliares, consultas médicas e de enfermagem, bem como programa de imunização, atividades de prevenção e promoção da saúde. Além disso, é realizada permanente vigilância sobre as condições de saúde através do monitoramento e acompanhamento dos principais agravos em saúde dos pacientes como: diabetes, hipertensão, tuberculose e diarreia aguda. Conclusão: A Equipe de Estratégia Saúde da Família atua de forma a garantir a população da etnia Krikati o acesso à atenção integral à saúde, de acordo com os princípios e diretrizes do Sistema Único de Saúde, contemplando a diversidade social, cultural, geográfica, histórica e política de modo a favorecer a superação dos fatores que tornam essa população mais vulnerável aos agravos à saúde de maior magnitude e transcendência

Awareness of stroke among patients with chronic kidney disease on hemodialysis: a cross-sectional study

ABSTRACT BACKGROUND: Stroke is a major cause of mortality worldwide. Renal dysfunction is an important risk factor for stroke. Brazilian studies on stroke knowledge are generally population based. Studies stratifying stroke knowledge according to comorbidities are rare. Scientific data are essential to guide the awareness of stroke. OBJECTIVE: To assess stroke knowledge in patients with chronic kidney disease (CKD) on hemodialysis. DESIGN AND SETTING: Cross-sectional analytical study of patients with CKD on hemodialysis in north-eastern Brazil. METHODS: A self-administered questionnaire survey on stroke awareness was administered to patients with CKD on hemodialysis between April and November 2022. The chi-square test and other descriptive statistics were used. Univariate and multivariate analyses were performed using logistic regression. RESULTS: A total of 197 patients were included in the analysis. The Brazilian acronym for stroke was used by 53.5% of the participants. Less than 10.0% of the sample showed optimal decision-making ability regarding stroke. Of the participants, 29.9% knew at least one risk factor and one symptom; however, this was considered as having below the minimum capacity because they did not know the emergency service call number. In the analysis adjusted for income and education, females (odds ratio [OR], 0.40%; 95% confidence interval [CI], 0.20-0.82), older patients (OR, 0.24%; 95% CI, 0.09-0.63) and having at most one comorbidity (OR, 0.48%; 95% CI, 0.23-0.98) were factors for lower levels of knowledge or ideal decision-making capacity against stroke. CONCLUSIONS: Patients on hemodialysis, especially women and older people, have little knowledge about stroke

Malformações Arteriovenosa Cerebrais: uma revisão bibliográfica / Cerebral Arteriovenous Malformations: a bibliographic review

Esse estudo foi realizado com o intuito de realizar uma revisão sistemática dentro da literatura cientifica para poder melhor organizar o raciocínio clínicos quanto ao diagnóstico, tratamento e consequências de pacientes portadores de Malformações Arteriovenosa Cerebrais (MAV), uma vez que seu diagnóstico não é fácil de se realizar e a abordagem terapêutica varia de individuo em indivíduo. Contudo, entende-se que o MAV pode ser um dos diagnósticos diferenciais para tratamento de outras patologias através da apresentação da sintomatologia apresentadas pelo paciente admitidos em pronto atendimentos e que procuram clínicas de neurologia e/ou neurocirurgia para tratamento das sintomatologias mais brandas

Inclusão escolar de alunos portadores de Transtorno do Espectro Autista na educação infantil: uma revisão sistemática: School inclusion of students with Autistic Spectrum Disorder in early childhood education: a systematic review

Este artigo debate o problema da inclusão escolar de crianças com transtorno do espectro autista (TEA). Para estabelecer o debate, foi feito um levantamento bibliográfico e referencial para uma revisão sistemática do tema. O objetivo é clarificar os conceitos de inclusão escolar e TEA para debater como é feito o processo educacional de crianças com TEA. Sendo assim, a partir da pesquisa científica de descritores como “inclusão escolar”, “transtorno do espectro autista”, foi observado, pelos diversos autores trabalhados, que ainda há muito o que se debater e trabalhar para que ocorra a inclusão escolar de crianças com TEA. Apesar das muitas tentativas, erros e acertos, o tema ainda é pouco trabalhado e divulgado, visto que há poucos profissionais capacitados na área

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

ATLANTIC EPIPHYTES: a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest

Epiphytes are hyper-diverse and one of the frequently undervalued life forms in plant surveys and biodiversity inventories. Epiphytes of the Atlantic Forest, one of the most endangered ecosystems in the world, have high endemism and radiated recently in the Pliocene. We aimed to (1) compile an extensive Atlantic Forest data set on vascular, non-vascular plants (including hemiepiphytes), and lichen epiphyte species occurrence and abundance; (2) describe the epiphyte distribution in the Atlantic Forest, in order to indicate future sampling efforts. Our work presents the first epiphyte data set with information on abundance and occurrence of epiphyte phorophyte species. All data compiled here come from three main sources provided by the authors: published sources (comprising peer-reviewed articles, books, and theses), unpublished data, and herbarium data. We compiled a data set composed of 2,095 species, from 89,270 holo/hemiepiphyte records, in the Atlantic Forest of Brazil, Argentina, Paraguay, and Uruguay, recorded from 1824 to early 2018. Most of the records were from qualitative data (occurrence only, 88%), well distributed throughout the Atlantic Forest. For quantitative records, the most common sampling method was individual trees (71%), followed by plot sampling (19%), and transect sampling (10%). Angiosperms (81%) were the most frequently registered group, and Bromeliaceae and Orchidaceae were the families with the greatest number of records (27,272 and 21,945, respectively). Ferns and Lycophytes presented fewer records than Angiosperms, and Polypodiaceae were the most recorded family, and more concentrated in the Southern and Southeastern regions. Data on non-vascular plants and lichens were scarce, with a few disjunct records concentrated in the Northeastern region of the Atlantic Forest. For all non-vascular plant records, Lejeuneaceae, a family of liverworts, was the most recorded family. We hope that our effort to organize scattered epiphyte data help advance the knowledge of epiphyte ecology, as well as our understanding of macroecological and biogeographical patterns in the Atlantic Forest. No copyright restrictions are associated with the data set. Please cite this Ecology Data Paper if the data are used in publication and teaching events. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ