Increased risk of venous thrombosis by AB alleles of the ABO blood group and Factor V Leiden in a Brazilian population

Most cases of a predisposition to venous thrombosis are caused by resistance to activated protein C, associated in 95% of cases with the Factor V Leiden allele (FVL or R506Q). Several recent studies report a further increased risk of thrombosis by an association between the AB alleles of the ABO blood group and Factor V Leiden. The present study investigated this association with deep vein thrombosis (DVT) in individuals treated at the Hemocentro de Pernambuco in northeastern Brazil. A case-control comparison showed a significant risk of thrombosis in the presence of Factor V Leiden (OR = 10.1), which was approximately doubled when the AB alleles of the ABO blood group were present as well (OR = 22.3). These results confirm that the increased risk of deep vein thrombosis in the combined presence of AB alleles and Factor V Leiden is also applicable to the Brazilian population suggesting that ABO blood group typing should be routinely added to FVL in studies involving thrombosis

Grupo de Extensão “Acesso à Justiça, Justiça Restaurativa e Encarcerados” da Faculdade Sensu: Relatos da Experiência e enriquecimento da formação superior em Direito.

This article aims to present the extension project “Access to Justice, Restorative Justice and Prisoners”, carried out within the scope of the Law course on the Sensu University, from the perspective of student experience reports, analyzing its potential contribution to improve education in law of its participants.Este artículo tiene como objetivo presentar el proyecto de extensión “Acceso a la Justicia, Justicia Restaurativa y Prisioneros”, realizado en el ámbito de la carrera de la Facultad de Derecho Sensu, desde la perspectiva de los relatos de experiencia de los estudiantes, analizando su potencial aporte a la educación superior en derechos. de sus participantes.O presente artigo tem por objetivo apresentar o projeto de extensão “Acesso à Justiça, Justiça Restaurativa e Encarcerados”, realizado no âmbito do curso de Direito da Faculdade Sensu, sob a perspectiva de relatos da experiência discente, analisando sua potencial contribuição com a formação superior em direito de seus participantes

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

Spatial analysis of chronic myeloid leukemia by economic development region of the state of Pernambuco

Made available in DSpace on 2016-04-12T12:32:35Z (GMT). No. of bitstreams: 2 596.pdf: 1353914 bytes, checksum: bee2473adf5a37f943c4f715f4043519 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2010Fundação Oswaldo Cruz. Centro de Pesquisas Aggeu Magalhães. Recife, PE, BrasilA Leucemia Mielóide Crônica (LMC) é uma neoplasia mieloproliferativa crônica, cuja incidência é de 1,5 casos por 100.000 habitantes ao ano, com predomínio do gênero masculino. A predisposição hereditária parece não existir e o único fator bem caracterizado de risco é a exposição à radiação ionizante. O geoprocessamento é uma ferramenta informacional de auxílio aos profissionais e estudiosos da área da saúde capaz de mapear as doenças e permitir a análise de riscos sócio-ambientais. O objetivo deste estudo foi caracterizar a distribuição dos casos de LMC e de exposição a tóxicos industriais dos pacientes residentes no estado de Pernambuco com registro no Hospital Hemope nos últimos cinco anos. O estudo tipo série de casos incluiu todos os pacientes com diagnóstico de LMC, idade igual ou superior a 18 anos, de ambos os gêneros, atendidos no período de janeiro de 2004 a dezembro de 2009 e procedentes das diversas regiões de desenvolvimento do Estado. Para coleta e análise dos dados foram utilizados os registros dos prontuários de saúde e os aplicativos Excel 2003 e Terra View. No período do estudo foram diagnosticados 201 casos de LMC, com mediana de idade de 49 anos (extremos 18 a 93) e maior pico de incidência entre os 40 e 50 anos (24 por cento). Houve predomínio do sexo masculino (1,1:1) e de residentes de áreas urbanas (86 por cento). A incidência da LMC para as 12 regiões de desenvolvimento do Estado variou entre 0,5 e 3,8 casos por 100.000 habitantes/ano com média de 1,8 casos. As Regiões do Agreste Meridional e Sertão do Pajéu apresentaram maior incidência de casos de LMC, no entanto, não houve variação significante no número de casos ao longo dos anos e nem foram identificados determinantes sócio-ambientais relevantes associados. Apenas 10 por cento dos prontuários apresentaram registro sobre contato do pacientes com tóxicos industriais. A taxa de incidência da LMC encontrou-se dentro da frequência esperada, porém, com variações entre os municípios e as diferentes regiões de desenvolvimento do Estado. O estudo por geoprocessamento auxiliou na análise da distribuição espacial dos casos para uso dos dados como estudo de linha de base. A interface entre o profissional e o serviço de saúde pública é essencial para reconhecer e responder as preocupações com mudanças no perfil epidemiológico de doenças crônicas, frente aos novos cenários de desenvolvimento econômic

Frequency of p190 and p210 BCR-ABL rearrangements and survival in Brazilian adult patients with acute lymphoblastic leukemia

Objective: This study investigated the occurrence of the p190 and p210 break point clusterregion-Abelson (BCR-ABL) rearrangements in adults with acute lymphoblastic leukemia and possible associations with clinical and laboratory characteristics and survival. Methods: Forty-one over 18-year-old patients with acute lymphoblastic leukemia of both genders followed-up between January 2008 and May 2012 were included in this study. Clinical and laboratory data were obtained from the medical charts of the patients. Reverse transcription polymerase chain reaction (RT-PCR) using specific primers was employed to identify molecular rearrangements. Results: At diagnosis, the median age was 33 years, and there was a predominance of males (61%). The most common immunophenotype was B lineage (76%). BCR-ABL rearrangements was detected in 14 (34%) patients with the following distribution: p190 (28%), p210 (50%) and double positive (22%). Overall survival of patients with a mean/median of 331/246 days of follow up was 39%, respectively, negative BCR-ABL (44%) and positive BCR-ABL (28%). Conclusion: These results confirm the high frequency of BCR-ABL rearrangements and the low survival rate of adult Brazilian patients with acute lymphoblastic leukemia