48 research outputs found
Solução portátil para população com hipertensão pulmonar: o Oxicart
A hipertensão pulmonar (HP) consiste na elevação da pressão arterial ao ponto de afetar as artérias dos pulmões, comprometendo a capacidade respiratória. Os sintomas incluem tontura e sensação de pressão no peito, aliada à falta de ar, e tendem a piorar com a idade. Aproximadamente dois milhões de brasileiros apresentam quadro de HP, das quais ao menos 100.000 desenvolvem a forma particularmente grave denominada hipertensão arterial pulmonar (HAP), que requer tratamento específico. O tema tornou-se ainda mais relevante a partir da pandemia da Covid-19, que aumentou globalmente a demanda por respiradores, sendo hoje considerada fator agravante para casos de HAP. O objetivo do projeto aqui relatado foi elaborar um carrinho funcional, ergonômico, capaz de atender às necessidades dos portadores de HAP quanto ao transporte e manipulação do suporte de oxigênio. Além disso, o Oxicart agrega em sua mochila o conceito de moda acessível para poder carregar o respirador mecânico. Entendemos que a proposta representa ganho para os pacientes em duas dimensões: na questão da saúde propriamente dita e em termos de manutenção da autoestima, que também se reflete em qualidade de vida
Intervenção educacional sobre enteroparasitoses: um estudo quase experimental
Introdução: As enteroparasitoses vêm ocasionando sérios problemas de saúde pública no mundo, sobretudo nos países em desenvolvimento. Mesmo com a população em geral relatando que tem conhecimento sobre as parasitoses intestinais, estudos apontam que não sabem identificar as verminoses. Objetivo: Elaborar, implementar e avaliar um programa educativo sobre parasitoses intestinais em uma escola pública de Ribeirão Preto – SP. Materiais e Métodos: Estudo quase experimental, não randomizado realizado com 56 alunos do 1º a 4º ano do ensino fundamental. Para avaliar o conhecimento dos alunos antes e após intervenção educativa, foi aplicado um questionário semiestruturado (Pré e Pós - teste). Resultados: Houve mudanças nas respostas dos alunos em relação hábitos de higiene, especialmente nas questões sobre como os vermes se alimentam (p=0,008); o que não fazer para não se contaminar com vermes (p=0,05); qual o formato dos vermes quando é ingerido (p=0,001); quais órgãos os vermes atravessam (p=0,001). Assim, ficou evidente que este tipo de atividade educativa foi eficiente para auxiliar na aprendizagem de alunos do ensino fundamental. Discussão: Após a atividade educativa sem notou um crescimento nos acertos para a maioria das questões, contudo ainda houve dificuldades de compreensão sobre os sintomas, o ciclo e quais organismos são vermes. Conclusões: Espera-se que este trabalho incentive profissionais da saúde e da educação a incluir práticas educativas sobre saúde no contexto escolar.Como citar este artigo: Bragagnollo GR, Godoy PCGT, Santos TS, Ribeiro VS, Morero JAP, Ferreira BR. Intervenção educacional sobre enteroparasitoses: um estudo quase experimental. Rev Cuid. 2018; 9(1): 2030-44. http://dx.doi.org/10.15649/cuidarte.v9i1.486
Os desafios de um cuidado transcultural : conhecendo (e ultrapassando) barreiras idiomáticas e religiosas em nome de uma assistência universal em saúde
Extracellular Vesicles Released by Leishmania (Leishmania) amazonensis Promote Disease Progression and Induce the Production of Different Cytokines in Macrophages and B-1 Cells
The extracellular vesicles (EVs) released by Leishmania can contribute to the establishment of infection and host immunomodulation. In this study, we characterized the shedding of EVs from Leishmania (Leishmania) amazonensis promastigotes. This species is the causative agent of cutaneous leishmaniasis, and its role during interactions with bone marrow-derived macrophages (BMDMs) and peritoneal B-1 cells was evaluated. Leishmania amazonensis promastigotes cultivated in vitro at different times and temperatures spontaneously released EVs. EVs were purified using size-exclusion chromatography (SEC) and quantitated by nanoparticle tracking analysis (NTA). NTA revealed that the average size of the EVs was approximately 180 nm, with concentrations ranging from 1.8 × 108 to 2.4 × 109 vesicles/mL. In addition, the presence of LPG and GP63 were detected in EVs obtained at different temperatures. Naïve BMDMs stimulated with EVs exhibited increased IL-10 and IL-6 expression. However, incubating B-1 cells with parasite EVs did not stimulate IL-10 expression but led to an increase in the expression of IL-6 and TNFα. After 7 weeks post-infection, animals infected with L. amazonensis promastigotes in the presence of parasite EVs had significant higher parasite load and a polarization to Th2 response, as compared to the group infected with the parasite alone. This work demonstrated that EVs isolated from L. amazonensis promastigotes were able to stimulate macrophages and B-1 cells to express different types of cytokines. Moreover, the immunomodulatory properties of EVs probably contributed to an increase in parasite burden in mice. These findings suggest that the functionality of L. amazonensis EVs on immune system favor of parasite survival and disease progression
High levels of immunosuppression are related to unfavourable outcomes in hospitalised patients with rheumatic diseases and COVID-19 : first results of ReumaCoV Brasil registry
Objectives To evaluate risk factors associated with unfavourable outcomes: emergency care, hospitalisation, admission to intensive care unit (ICU), mechanical ventilation and death in patients with immune-mediated rheumatic disease (IMRD) and COVID-19.
Methods Analysis of the first 8 weeks of observational multicentre prospective cohort study (ReumaCoV Brasil register). Patients with IMRD and COVID-19 according to the Ministry of Health criteria were classified as eligible for the study.
Results 334 participants were enrolled, a majority of them women, with a median age of 45 years; systemic lupus erythematosus (32.9%) was the most frequent IMRD. Emergency care was required in 160 patients, 33.0% were hospitalised, 15.0% were admitted to the ICU and 10.5% underwent mechanical ventilation; 28 patients (8.4%) died. In the multivariate adjustment model for emergency care, diabetes (prevalence ratio, PR 1.38; 95% CI 1.11 to 1.73; p=0.004), kidney disease (PR 1.36; 95% CI 1.05 to 1.77; p=0.020), oral glucocorticoids (GC) (PR 1.49; 95% CI 1.21 to 1.85; p50 years (PR 1.89; 95% CI 1.26 to 2.85; p=0.002), no use of tumour necrosis factor inhibitor (TNFi) (PR 2.51;95% CI 1.16 to 5.45; p=0.004) and methylprednisolone pulse therapy (PR 2.50; 95% CI 1.59 to 3.92; p<0.001); for ICU admission, oral GC (PR 2.24; 95% CI 1.36 to 3.71; p<0.001) and pulse therapy with methylprednisolone (PR 1.65; 95% CI 1.00 to 2.68; p<0.043); the two variables associated with death were pulse therapy with methylprednisolone or cyclophosphamide (PR 2.86; 95% CI 1.59 to 5.14; p<0.018).
Conclusions Age >50 years and immunosuppression with GC and cyclophosphamide were associated with unfavourable outcomes of COVID-19. Treatment with TNFi may have been protective, perhaps leading to the COVID-19 inflammatory process
Arte, saúde mental e atenção pública: traços de uma cultura de cuidado na história da cidade de São Paulo
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