Gynecological and obstetrics aspects of patients treated in public and private health services: are there any differences?

PURPOSE: To evaluate the epidemiological and clinical aspects of gynecological patients seeking care in the private and public health networks. METHODS: In this cross-sectional study we analyzed the records of 243 patients (122 public service patients and 121 private service ones), from January 2007 to January 2008. We excluded records of pregnant patients with vaginal bleeding, history of using vaginal creams or gels at intervals of less than 15 days and patients who had sexual intercourse within less than five days before their visit and with incomplete clinical data. Data were analyzed statistically using the Stata software, version 9.2, with a 5% level of significance. RESULTS: The mean age of the patients attending the public health service was 27±12 years-old and 25.9±10.4 years-old for patients attending the private health service, with no statistical difference between means (F=0.5 and p=0.4). Patients attending the public health service had lower education (p<0.001), they were preferentially housewives (p<0.001), began sexual life early, had a greater number of partners (p<0.001), of pregnancies (p<0.001) and of deliveries (p=0.004), and mainly used the condom as a contraceptive method (p=0.013). There was no statistical difference between groups regarding the history of sexual transmitted diseases, diagnosis of candidiasis, bacterial vaginosis, trichomoniasis, or neoplasia. CONCLUSIONS: Patients attending the public health service have a higher number of pregnancies and births. They are usually housewives with low educational level, their sex life begins early, and they have more partners. However, there was no difference between groups when evaluating breast diseases, gynecological infections, or cancer of the cervix, which suggests that socioeconomic status is not the only element in the determination of the disease and, therefore, other variables should be evaluated.OBJETIVO: Avaliar os aspectos epidemiológicos e clínicos de pacientes ginecológicas atendidas nas redes privada e pública de saúde. MÉTODOS: Estudo de corte transversal, no qual foram estudados prontuários de 243 pacientes (122 pacientes no serviço público e 121 no privado), de janeiro de 2007 a janeiro de 2008. Excluíram-se os prontuários de pacientes grávidas, com sangramento genital, histórico de uso de cremes ou géis vaginais em intervalos inferiores há 15 dias e pacientes que tiveram relação sexual em prazo inferior a cinco dias da consulta avaliada. A análise dos dados foi realizada com recursos de processamento estatístico do software Stata, versão 9.2, considerando-se o nível de significância de 5%. RESULTADOS: A média de idade das pacientes foi de 27±12 anos entre pacientes da rede pública, e de 25,9±10,4 anos na rede particular, não havendo diferença estatística entre estas médias (F=0,5 e p=0,4). As pacientes da rede pública apresentaram escolaridade mais baixa (p<0,001), eram preferencialmente do lar (p<0,001), iniciaram vida sexual mais precocemente, tiveram maior número de parceiros (p<0,001), de gestações (p<0,001) e de partos (p=0,004) e utilizavam principalmente a camisinha como método contraceptivo (p=0,013). Não houve diferença estatística em relação aos antecedentes de doenças sexualmente transmissíveis, ao diagnóstico de candidíase, vaginose bacteriana, tricomoníase ou neoplasia. CONCLUSÕES: As pacientes da rede pública de saúde apresentam maior número de gestações e partos. São, em geral, donas de casa, com baixa escolaridade, iniciam vida sexual mais precocemente e com maior número de parceiros. Entretanto, não houve diferença entre os grupos quando se avaliaram doenças mamárias, infecções ginecológicas ou neoplasias de colo uterino, o que sugere que o nível socioeconômico não é o único elemento no determinismo da doença e, por isso, outras variáveis devem ser avaliadas

Manejo clínico de grande queimado em Unidade de Terapia Intensiva: uma revisão sistemática com metanálise

Atualmente trabalha-se com a estimativa de que ocorrem no mundo todo 265mil mortes por ano em decorrência de acidentes envolvendo eletricidade, calor e produtos químicos, resultando em queimaduras que podem ser graves. No que se refere ao Brasil, ocorrem em média 1 milhão de acidentes por queimadura todos os anos, sendo que deste total apenas 100mil buscam atendimento hospitalar e 2.500 vítimas vem a óbito. O grande queimado caracteriza a vítima que segundo a Regra dos nove ou de Wallace, possui mais de 55 anos e apresenta 10% de sua superfície corporal queimada ou então pessoas de 10 a 55 anos que apresentam 20% ou mais da superficie corporal lesionada. Um cenário desafiador no qual o profissional de enfermagem possui papel fundamental para o tratamento, sendo responsável por intervir e se manter atento a todas as possíveis complicações decorrentes das queimaduras. O tema do manejo de grande queimado em UTI será explorado a partir de uma revisão sistemática com meta análise com o emprego das palavras chave “unidade de terapia intensiva”, “grande queimado” e “assistência de enfermagem” nos bancos de dados PubMed, BVS, Lilacs, Medline e Scielo objetivando acessar artigos publicados entre 2015 e 2022. É de fundamental importância o atendimento primário a vítima de grande queimadura, ao contribuir para uma melhor evolução do quadro do paciente e sua sobrevida. O quadro precisa ser tratado como se fosse um trauma, sendo importante avaliar os agravos para as vias aéreas, sistema circulatório, promover uma avaliação neurológica e extensão da queimadura, levando em consideração que a abordagem ideal depende do agente causador e tempo de exposição

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

Protein expression in the midgut of sugar-fed <it>Aedes albopictus</it> females

Abstract Background Aedes albopictus is a vector for several fatal arboviruses in tropical and sub-tropical regions of the world. The midgut of the mosquito is the first barrier that pathogens must overcome to establish infection and represents one of the main immunologically active sites of the insect. Nevertheless, little is known about the proteins involved in the defense against pathogens, and even in the processing of food, and the detoxification of metabolites. The identification of proteins exclusively expressed in the midgut is the first step in understanding the complex physiology of this tissue and can provide insight into the mechanisms of pathogen-vector interaction. However, identification of the locally expressed proteins presents a challenge because the Ae. albopictus genome has not been sequenced. Methods In this study, two-dimensional electrophoresis (2DE) was combined with liquid chromatography in line with tandem mass spectrometry (LC-MS/MS) and data mining to identify the major proteins in the midgut of sugar-fed Ae. albopictus females. Results Fifty-six proteins were identified by sequence similarity to entries from the Ae. aegypti genome. In addition, two hypothetical proteins were experimentally confirmed. According to the gene ontology analysis, the identified proteins were classified into 16 clusters of biological processes. Use of the STRING database to investigate protein functional associations revealed five functional networks among the identified proteins, including a network for carbohydrate and amino acid metabolism, a group associated with ATP production and a network of proteins that interact during detoxification of toxic free radicals, among others. This analysis allowed the assignment of a potential role for proteins with unknown function based on their functional association with other characterized proteins. Conclusion Our findings represent the first proteome map of the Ae. albopictus midgut and denotes the first steps towards the description of a comprehensive proteome map of this vector. In addition, the data contributes to the functional annotation of Aedes spp. genomes using mass spectrometry-based proteomics data combined with complementary gene prediction methods.</p

Protein expression in the midgut of sugar-fed Aedes albopictus females

Submitted by Sandra Infurna ([email protected]) on 2016-10-13T14:08:29Z No. of bitstreams: 1 leonardo_vahia_etal_IOC_2012.pdf: 1566864 bytes, checksum: 1a249887cf674fa99d682f7a00d48255 (MD5)Approved for entry into archive by Sandra Infurna ([email protected]) on 2016-10-13T14:22:26Z (GMT) No. of bitstreams: 1 leonardo_vahia_etal_IOC_2012.pdf: 1566864 bytes, checksum: 1a249887cf674fa99d682f7a00d48255 (MD5)Made available in DSpace on 2016-10-13T14:22:26Z (GMT). No. of bitstreams: 1 leonardo_vahia_etal_IOC_2012.pdf: 1566864 bytes, checksum: 1a249887cf674fa99d682f7a00d48255 (MD5) Previous issue date: 2012Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Biologia Molecular e Doenças Endêmicas. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Biologia Molecular e Doenças Endêmicas. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Leishmaniose. Rio de Janeiro, RJ, Brasil.Universidade de Brasília. Departamento de Biologia Celular. Laboratório de Bioquímica e Química Proteínas. Brasília, DF, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Biologia Molecular e Doenças Endêmicas. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Biologia Molecular e Doenças Endêmicas. Rio de Janeiro, RJ, Brasil.Universidade Federal do Rio de Janeiro. Instituto de Química. Laboratório de Química de Proteínas. Unidade de Proteômica. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Biologia Molecular e Doenças Endêmicas. Rio de Janeiro, RJ, Brasil / Universidade Federal de São João Del Rey. Departamento de Engenharia de Biossistemas. São João del Rey, MG, Brasil.Aedes albopictus is a vector for several fatal arboviruses in tropical and sub-tropical regions of the world. The midgut of the mosquito is the first barrier that pathogens must overcome to establish infection and represents one of the main immunologically active sites of the insect. Nevertheless, little is known about the proteins involved in the defense against pathogens, and even in the processing of food, and the detoxification of metabolites. The identification of proteins exclusively expressed in the midgut is the first step in understanding the complex physiology of this tissue and can provide insight into the mechanisms of pathogen-vector interaction. However, identification of the locally expressed proteins presents a challenge because the Ae. albopictus genome has not been sequenced

Serum protein profile of hookworm infection in dogs

Hookworms are parasitic nematodes that cause anemia and intestinal infections in dogs, especially with large worm burdens. However, the serum protein profile of this parasitological disease is still poorly understood. The present study was design to evaluate 80 asymptomatic dogs (age; 8 months–2 years) to detect the presence of the hookworm thin-shelled, morulated eggs in faeces using faecal flotation and to evaluate the serum protein fractions determined by means of sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). Forty dogs had an elevated quantity of eggs in faeces (+++) (PD) and 40 dogs were healthy (HD). Infected dogs showed significant increases for IgG estimated concentrations (PD 1.79±0.8 g/dL and HD 1.44±0.72 g/dL, p= 0.04), for ceruloplasmin estimated concentrations (PD 19±15 mg/dL and HD 5±3.5 mg/dL, p=0.0001), for alpha 1-acid glycoprotein estimated concentrations (PD 31.4±17.9 mg/dL and HD 13.5±12.1 mg/dL, p=0.0001) and for a non-identified protein of 23 kDa estimated concentrations (PD 641.5±194.9 mg/dL and HD 519.8± 197.9 mg/dL, p=0.007). Dogs with hookworm infection showed significant differences in the serum protein profile when compared to healthy animals