Evaluation of the renal function in patients in the postoperative period of cardiac surgery: does AKIN classification predict acute kidney dysfunction?

OBJETIVOS: Identificar a freqüência de lesão renal aguda e comparar a aplicação da classificação AKIN com o uso isolado da creatinina sérica no pós-operatório de cirurgia cardíaca. MÉTODOS: Este estudo foi desenvolvido prospectivamente em um hospital de ensino e pesquisa especializado em cardiologia da rede pública do estado de São Paulo. Foram acompanhados 44 pacientes submetidos à cirurgia cardíaca eletiva, desde o pós-operatório imediato até o 2º pós-operatório. RESULTADOS: Constatou-se que dos 44 pacientes, 75% eram hipertensos, 27% diabéticos e eram majoritariamente do sexo masculino (64%), com média de idade de 55±16 anos. Observou-se que a idade avançada e o índice de massa corpórea elevado apresentaram correlação significativa para disfunção renal (p<0,05). De acordo com a classificação AKIN, o critério fluxo urinário identificou mais disfunção renal do que o critério creatinina. Foi verificado que a disfunção renal ocorreu com maior freqüência no 1º pós-operatório e na maioria (82%) dos 63,6% dos pacientes que foram submetidos à cirurgia de revascularização do miocárdio. CONCLUSÃO: A maioria dos pacientes (75%) evoluiu inicialmente com disfunção renal sinalizada principalmente pelo critério fluxo urinário da classificação AKIN, número bem superior ao revelado pela creatinina isoladamente. Tal fato confirma que a associação da creatinina sérica com o fluxo urinário tem um desempenho discriminatório superior para a identificação precoce dessa síndrome comparativamente com o rotineiro uso isolado da creatinina.OBJECTIVES: To identify the frequency of the Acute Kidney Injury and to compare the application of the AKIN classification with the separate use of the serum creatinine in the postoperative period of cardiac surgery. METHODS: This study was prospectively developed in a teaching and specialized research hospital in cardiology of the public health system of the state of São Paulo. Forty-four patients submitted to the elective cardiac surgery since the immediate post-surgical period up to the 2nd post-surgical period were followed. RESULTS: It was possible to verify that from the forty-four patients, 75% were hypertensive, 27% were diabetic and mostly were male (64%), with an average age of 55+16 years old. It was observed that advanced age and the elevated body mass index shows a significant correlation to renal dysfunction (p<0, 05). According to the AKIN classification, the urinary flow criterion identified more renal dysfunction than creatinine criterion. It was verified that the renal dysfunction occurred more frequently in the postsurgery period and the majority (82%) from the 63,6% of the patients which were submitted to the revascularization of the myocardium surgery. CONCLUSION: The majority of patients (75%) evolved initially with renal dysfunction signaled it mainly by the urinary flow criterion from the AKIN classification, a higher number compared to the separated creatinine. This fact confirms that the serum creatinine association with the urinary flow has a higher discriminatory performance for the early identification of this syndrome comparatively with the routinely use of the isolated creatinine

Companion: a web server for annotation and analysis of parasite genomes

Currently available sequencing technologies enable quick and economical sequencing of many new eukaryotic parasite (apicomplexan or kinetoplastid) species or strains. Compared to SNP calling approaches, de novo assembly of these genomes enables researchers to additionally determine insertion, deletion and recombination events as well as to detect complex sequence diversity, such as that seen in variable multigene families. However, there currently are no automated eukaryotic annotation pipelines offering the required range of results to facilitate such analyses. A suitable pipeline needs to perform evidence-supported gene finding as well as functional annotation and pseudogene detection up to the generation of output ready to be submitted to a public database. Moreover, no current tool includes quick yet informative comparative analyses and a first pass visualization of both annotation and analysis results. To overcome those needs we have developed the Companion web server (http://companion.sanger.ac.uk) providing parasite genome annotation as a service using a reference-based approach. We demonstrate the use and performance of Companion by annotating two Leishmania and Plasmodium genomes as typical parasite cases and evaluate the results compared to manually annotated references

Improvement of physical capacity and quality of life after liver transplantation: a longitudinal study

Sem informação198CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQSem informaçã

Ensinar área de quadriláteros regulares baseado no modelo de Van Hiele

Esse estudo utilizou a metodologia de Van Hiele com os cinco níveis hierárquicos e cinco fases de aprendizagem que devem integrar cada nível. Optou-se pelo cálculo de áreas de quadriláteros regulares devido serem formas geométricas simples e de muitas aplicações. O objetivo foi verificar se essa metodologia favorece a compreensão de áreas de quadriláteros aos 25 estudantes da 4ª etapa de Educação de Jovens e Adultos (EJA) no Centro Municipal de José de Deus Andrade, Canaã dos Carajás/PA. Essa turma possui dispersão significativa em relação à idade, que é um dos fortes argumentos do uso do método de Van Hiele. Foram elaborados o pré-teste e pós-teste aliados à duas intervenções pedagógicas que trabalham a utilização de malhas quadriculadas em papel e embalagens comuns no cotidiano. O intuito foi comparar o nível de compreensão dos estudantes antes e depois do emprego da metodologia. Ocorreu um aumento significativo no número de acertos comparando o pós teste com o pré-teste. Por tais resultados, fica evidente a necessidade de desenvolvermos o ensino de geometria que possibilite aos alunos serem protagonistas e participarem ativamente da construção de seus saberes, em especial os refere ao cálculo de áreas de quadrilátero regulares

Genome assemblies across the diverse evolutionary spectrum of Leishmania protozoan parasites

We report the high-quality draft assemblies and gene annotations for 13 species and/or strains of the protozoan parasite gener

Covid-19 no Nordeste do Brasil: primeiro ano de pandemia e incertezas que estão por vir

OBJETIVO Analisar a epidemia da covid-19 na região Nordeste do Brasil, uma das mais atingidas por essa virose. MÉTODOS Os dados oficiais para covid-19 dos estados do Nordeste são referentes ao período de março de 2020 a março de 2021. A análise para capitais e estados da série do acumulado semanal de casos e de óbitos confirmados foi feita com emprego do aplicativo JoinPoint Trend Analysis. RESULTADOS Em um ano, o Nordeste acumulou 22,9% dos casos e 21,5% dos óbitos do país pela covid-19. No início da pandemia, todos os estados apresentaram um crescimento sustentável de casos, primeiro nas capitais e depois interior. Em seguida, observam-se decréscimos em todos os estados e suas capitais, porém muitos permanecem com números elevados. Em meados do segundo semestre de 2020, o número de casos começa a crescer nos estados e suas capitais, alguns em velocidade explosiva, em especial no final de 2020 e início de 2021. Padrão similar é observado para os óbitos, os quais ultrapassaram ou aproximam-se do teto observado na primeira onda, na qual todas as capitais e estados do Nordeste adotaram intensas medidas de isolamento. Fortaleza, Recife e Teresina atingiram os maiores índices de isolamento de todas as capitais, perto de 0,60. Esse índice decresce, com tendência leve de crescimento até final de dezembro, voltando a decrescer. Com exceção de Fortaleza e Salvador, as demais capitais caíram para menos de 0,40. CONCLUSÃO O Nordeste brasileiro e o país estão em uma situação sanitária, social e econômica cada vez mais complexa. É necessário acelerar o processo de vacinação e manter as medidas não farmacológicas – constante uso de máscaras faciais, medidas de distanciamento e cuidados de higiene –, além de políticas de proteção aos trabalhadores que perderam as suas rendas e subsídios aos pequenos empresários.OBJECTIVE To analyze the epidemic of COVID-19 in northeastern Brazil, one of the regions most affected by the virus. METHODS The official data for COVID-19, from March 2020 to March 2021 in the states of the Northeast Region (NE), were used. The analysis of capital cities and states for accumulated weekly cases and confirmed deaths was made using the JoinPoint Trend Analysis application. RESULTS In one year, the Northeast region reported 22.9% of the cases and 21.5% of the deaths in the country due to COVID-19. At the beginning of the pandemic, all states showed a growing number of cases, first in the capitals and then in the interior. Following this wave, decreases are observed in all states and their capitals, but with many still reporting a large number of cases. In the middle of the 2nd semester of 2020 the number of cases begins to increase again simultaneously in states and their capitals—some at explosive speed—especially in late 2020 and early 2021. A similar pattern is observed in deaths, which exceed or approach the peak seen in the first wave. In the first wave, all capitals and northeastern states adopted intense isolation measures. Fortaleza, Recife and Teresina reached the highest isolation index of all capitals, close to 0.60. This index decreases, with a slight growth trend until the end of December. With the exception of Fortaleza and Salvador, the other capitals fell to less than 0.40. CONCLUSION The Brazilian NE and the country are in increasingly complicated health, social and economic situations. It is necessary to speed up vaccinations and maintain non-pharmacological measures: face masks, social distancing measures and hygiene care, in addition to policies to protect workers who have lost their incomes and to subsidize small business owners

EuPathDB: the eukaryotic pathogen genomics database resource

The Eukaryotic Pathogen Genomics Database Resource (EuPathDB, http://eupathdb.org) is a collection of databases covering 170+ eukaryotic pathogens (protists &amp; fungi), along with relevant free-living and non-pathogenic species, and select pathogen hosts. To facilitate the discovery of meaningful biological relationships, the databases couple preconfigured searches with visualization and analysis tools for comprehensive data mining via intuitive graphical interfaces and APIs. All data are analyzed with the same workflows, including creation of gene orthology profiles, so data are easily compared across data sets, data types and organisms. EuPathDB is updated with numerous new analysis tools, features, data sets and data types. New tools include GO, metabolic pathway and word enrichment analyses plus an online workspace for analysis of personal, non-public, large-scale data. Expanded data content is mostly genomic and functional genomic data while new data types include protein microarray, metabolic pathways, compounds, quantitative proteomics, copy number variation, and polysomal transcriptomics. New features include consistent categorization of searches, data sets and genome browser tracks; redesigned gene pages; effective integration of alternative transcripts; and a EuPathDB Galaxy instance for private analyses of a user's data. Forthcoming upgrades include user workspaces for private integration of data with existing EuPathDB data and improved integration and presentation of host–pathogen interactions

[Covid-19 in the Northeast of Brazil: from lockdown to the relaxation of social distancing measures].

Even in the period when the Covid-19 pandemic was on the rise in the Northeast of Brazil, the relaxation of social distancing measures was introduced. The scope of the study is to assess, in the light of the epidemiological-sanitary situation in the region, the suitability of relaxation of social distancing measures. Based on the WHO guidelines for relaxation of social distancing, operational indicators were created and analyzed for each guideline in the context of the Northeast. To analyze the behavior of the epidemic, according to selected indicators, Joinpoint trend analysis techniques, heat maps, rate ratios and time trends between capitals and the state interior were compared. The weekly growth peak of the epidemic occurred in May-July 2020 (epidemiological weeks 19 to 31). In most capitals, there was no simultaneous downward trend in the number of cases and deaths in the 14 days prior to flexibilization. In all states the number of tests performed was insufficient. In epidemiological week 24, the state percentages of ICU/Covid-19 bed occupancy were close to or above 70%. The epidemiological situation of the nine Northeastern state capitals analyzed here did not meet criteria and parameters recommended by the World Health Organization for the relaxation of social distancing measures