Síndrome de Stevens-Johnson: uma doença dermatológica ou uma farmacodermia? / Stevens-Johnson Syndrome: a dermatological disease or a pharmacodermia?

INTRODUÇÃO: A síndrome de Stevens-Johnson refere-se à uma reação mucocutânea aguda caracterizada por necrose e descolamento extenso da epiderme. É uma síndrome rara e com etiologia desconhecida, relacionada sensibilidade a medicações ou a infecções por vírus como herpes simples e micoplasma. O quadro clínico se inicia com um exantema prodrômico morbiliforme disseminado com acometimento centrífugo envolvendo mucosas e evolui com necrose epidérmica e eritema e erupções dolorosas em mucosas. O diagnóstico é clínico e o tratamento é controverso, envolvendo corticosteroides, clorexidina oral e imunomoduladores. OBJETIVO: Entender a Síndrome de Steve Johnson relacionado com seus sintomas dermatológicos e suas etiologias farmacológicas. METODOLOGIA: trata-se de uma revisão de literatura integrativa com dados coletados nas bases Scielo e Pubmed com 13 artigos coletados. DISCUSSÃO E RESULTADOS:. Foram descritos diversos fatores de risco que estão relacionados com a gravidade da apresentação da doença bem como a extensão da superfície corporal acometida. É importante ressaltar ainda as limitações das opções terapêuticas e a importância da assertividade das indicações para que não haja uma piora do quadro. CONCLUSÃO: a Síndrome de Steven Johnson é uma afecção rara, com potencial letalidade e apresenta como sintomas principais a descamação dérmica além de ulceração na mucos. Pode ser desencadeada principalmente pelo uso de medicações e em pessoas com fatores de risco. Poucos estudos foram realizados a respeito da síndrome e seu tratamento.

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

Trends in antimicrobial resistance among clinical isolates of Staphylococcus aureus in a university hospital of the north of Paraná from 2002 through 2011

Staphylococcus aureus are pathogens with high incidence of nosocomial infections and community and has great ability to acquire resistance. The objective of this study was to determine susceptibility to antimicrobial profiles of S. aureus isolated in Londrina University Hospital, from January 2002 through December 2011. The retrospective analysis of 3,494 S. aureus performed from a database of Clinical Laboratory Microbiology HU sector. Antibiotic resistance was judged according to the criteria recommended by the Clinical Laboratory Standards Institute. The highest percentages of resistance was founding to erythromycin (49.4%), clindamycin and oxacillin (41.8%) and ciprofloxacin (36.5%). In addition, there was a significant reduction in gentamicin resistance rates, and trimethoprim-sulfamethoxazol. All strains studied were susceptible to linezolid. We found that 40% showed reduced susceptibility to vancomycin. These data indicate a possible change in the epidemiology of S. aureus in our region, which can bring impact on the treatment and control of infection by this agent

Metodologias Participativas para a Construção de uma Educação em Direitos Humanos

Esta publicação é resultado do curso de aperfeiçoamento “Metodologias Participativas para a construção de uma Educação em Direitos Humanos” realizado pela UNIFESP (Universidade Federal de São Paulo) em parceria com o CIEE (Centro de Integração Empresa-Escola). O curso buscou promover aprendizagens e aperfeiçoar o conhecimento acerca de metodologias participativas para a práxis na educação em direitos humanos com juventudes. Foi desenvolvido um processo teórico-prático, numa perspectiva multi e interdisciplinar, em que o conhecimento acadêmico produzido pelas diversas áreas do conhecimento puderam dialogar com as experiências e práticas dos(as) cursistas, a fim de promover reflexões, ampliação do conhecimento, fortalecimento e revisões de práticas. Nesse sentido, o curso buscou desenvolver aprendizagens e aperfeiçoar conhecimentos que possibilitassem, a partir da Educação Popular: 1) a práxis na educação em direitos humanos com juventudes; 2) o fortalecimento da construção participativa, do uso das linguagens lúdicas e do diálogo entre os sujeitos do processo de aprendizagem. Deste modo, este livro traz o material produzido pelos(as) professores(as) conteudistas, que configurou-se como material didático utilizado nas aulas do curso, além de relatos dos(as) tutores(as) que conduziram o processo de ensino- aprendizagem. Esperamos que possa contribuir com o avanço e adensamento da temática e, também, ser utilizado em outros processos formativos

Núcleos de Ensino da Unesp: artigos 2013: volume 2: metodologias de ensino e a apropriação de conhecimento pelos alunos

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP

ATLANTIC BIRD TRAITS: a data set of bird morphological traits from the Atlantic forests of South America

Scientists have long been trying to understand why the Neotropical region holds the highest diversity of birds on Earth. Recently, there has been increased interest in morphological variation between and within species, and in how climate, topography, and anthropogenic pressures may explain and affect phenotypic variation. Because morphological data are not always available for many species at the local or regional scale, we are limited in our understanding of intra- and interspecies spatial morphological variation. Here, we present the ATLANTIC BIRD TRAITS, a data set that includes measurements of up to 44 morphological traits in 67,197 bird records from 2,790 populations distributed throughout the Atlantic forests of South America. This data set comprises information, compiled over two centuries (1820–2018), for 711 bird species, which represent 80% of all known bird diversity in the Atlantic Forest. Among the most commonly reported traits are sex (n = 65,717), age (n = 63,852), body mass (n = 58,768), flight molt presence (n = 44,941), molt presence (n = 44,847), body molt presence (n = 44,606), tail length (n = 43,005), reproductive stage (n = 42,588), bill length (n = 37,409), body length (n = 28,394), right wing length (n = 21,950), tarsus length (n = 20,342), and wing length (n = 18,071). The most frequently recorded species are Chiroxiphia caudata (n = 1,837), Turdus albicollis (n = 1,658), Trichothraupis melanops (n = 1,468), Turdus leucomelas (n = 1,436), and Basileuterus culicivorus (n = 1,384). The species recorded in the greatest number of sampling localities are Basileuterus culicivorus (n = 243), Trichothraupis melanops (n = 242), Chiroxiphia caudata (n = 210), Platyrinchus mystaceus (n = 208), and Turdus rufiventris (n = 191). ATLANTIC BIRD TRAITS (ABT) is the most comprehensive data set on measurements of bird morphological traits found in a biodiversity hotspot; it provides data for basic and applied research at multiple scales, from individual to community, and from the local to the macroecological perspectives. No copyright or proprietary restrictions are associated with the use of this data set. Please cite this data paper when the data are used in publications or teaching and educational activities. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ

ATLANTIC BIRD TRAITS

Scientists have long been trying to understand why the Neotropical region holds the highest diversity of birds on Earth. Recently, there has been increased interest in morphological variation between and within species, and in how climate, topography, and anthropogenic pressures may explain and affect phenotypic variation. Because morphological data are not always available for many species at the local or regional scale, we are limited in our understanding of intra- and interspecies spatial morphological variation. Here, we present the ATLANTIC BIRD TRAITS, a data set that includes measurements of up to 44 morphological traits in 67,197 bird records from 2,790 populations distributed throughout the Atlantic forests of South America. This data set comprises information, compiled over two centuries (1820–2018), for 711 bird species, which represent 80% of all known bird diversity in the Atlantic Forest. Among the most commonly reported traits are sex (n = 65,717), age (n = 63,852), body mass (n = 58,768), flight molt presence (n = 44,941), molt presence (n = 44,847), body molt presence (n = 44,606), tail length (n = 43,005), reproductive stage (n = 42,588), bill length (n = 37,409), body length (n = 28,394), right wing length (n = 21,950), tarsus length (n = 20,342), and wing length (n = 18,071). The most frequently recorded species are Chiroxiphia caudata (n = 1,837), Turdus albicollis (n = 1,658), Trichothraupis melanops (n = 1,468), Turdus leucomelas (n = 1,436), and Basileuterus culicivorus (n = 1,384). The species recorded in the greatest number of sampling localities are Basileuterus culicivorus (n = 243), Trichothraupis melanops (n = 242), Chiroxiphia caudata (n = 210), Platyrinchus mystaceus (n = 208), and Turdus rufiventris (n = 191). ATLANTIC BIRD TRAITS (ABT) is the most comprehensive data set on measurements of bird morphological traits found in a biodiversity hotspot; it provides data for basic and applied research at multiple scales, from individual to community, and from the local to the macroecological perspectives. No copyright or proprietary restrictions are associated with the use of this data set. Please cite this data paper when the data are used in publications or teaching and educational activities. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ