18 research outputs found
HIV/HCV coinfection at an university hospital in Recife, Brazil
OBJECTIVE: To estimate the prevalence of hepatitis C virus (HCV) infection and risks factors associated with coinfection in HIV-positive individuals. METHODS: A cross-sectional descriptive study was conducted with 343 HIV patients attended at a university hospital in Recife, Northeastern Brazil, from March to December 2003. A standardized questionnaire about risk factors was administered. Serum samples were analyzed for anti-HCV antibodies using enzyme-linked immunosorbent assay (ELISA), HCV-RNA using reverse transcription-polymerase chain reaction (RT-PCR), and genotyping using the ABI 377 (PE Biosystems®). Univariate and multivariate analyses and multiple logistic regression were performed. RESULTS: HCV prevalence was 4.1% (14/343) using ELISA and 3.2% (11/343) using RT-PCR. The most common genotypes were 1b (45%), 3 (33%) and 1a (22%). Co-infection was higher among those aged 30 to 39 years, and predominantly in males (64.3 %). In the multiple logistic regression, the variable blood transfusion was the single remaining risk factor for HCV (OR=4.28; 95% CI 1.44;12.73). CONCLUSIONS: The prevalence of HIV/HCV coinfection was low. Blood transfusion was a risk factor and HCV genotype 1b was the most frequently found.OBJETIVO: Estimar la prevalencia de virus de hepatitis C (HCV) y factores de riesgo asociados con la coinfección en personas seropositivas para HIV. MÉTODOS: Estudio de tipo transversal, descriptivo y analítico, con 343 portadores de HIV atendidos en un hospital universitario de Recife (Noreste de Brasil), en el período de marzo a diciembre de 2003. Los pacientes fueron sometidos a un cuestionario estandarizado sobre los factores de riesgo. En las muestras de suero fueron pesquisados el anti-HCV por ELISA, el HCV-RNA por medio de la RT-PCR y la identificación de los genotipos fue realizada en el equipo ABI377 (PE Biosystems®). Los análisis estadísticos utilizados fueron la univariada, la multivariada y la regresión logística múltiple. RESULTADOS: La prevalencia encontrada para el HCV fue de 4,1% (14/343) por ELISA y de 3,2% (11/343) por RT-PCR. Los genotipos mas frecuentes fueron 1b (45%), 3 (33%) y 1a (22%). El rango de edad con mayor proporción de coinfectados fue la de 30-39 años, con predominio del sexo masculino (64,3%). Posterior a la regresión logística múltiple, sólo la variable transfusión sanguínea permaneció como factor de riesgo para el HCV (OR=4,28; IC 95%: 1,44; 12,73). CONCLUSIONES: La prevalencia de la coinfección HIV/HCV fue baja, la transfusión sanguínea fue un factor de riesgo y el genotipo 1b de HCV fue el más frecuente.OBJETIVO: Estimar a prevalência do vírus da hepatite C (HCV) e fatores de risco associados com a co-infecção em pessoas soropositivas para HIV. MÉTODOS: Estudo do tipo transversal, descritivo e analítico, com 343 portadores do HIV atendidos em um hospital universitário de Recife (PE), no período de março a dezembro de 2003. Os pacientes foram submetidos a um questionário padronizado sobre os fatores de risco. Nas amostras de soro foram pesquisados o anti-HCV pelo ELISA, o HCV-RNA por meio da RT-PCR e a identificação dos genótipos foi realizada no equipamento ABI377 (PE Biosystems®). As análises estatísticas utilizadas foram a univariada, a multivariada e a regressão logística múltipla. RESULTADOS: A prevalência encontrada para o HCV foi de 4,1% (14/343) pelo ELISA e de 3,2 % (11/343) quando utilizada a RT-PCR. Os genótipos mais freqüentes foram 1b (45%), 3 (33%) e 1a (22%). A faixa etária com maior proporção de co-infectados foi a de 30 a 39 anos, com predomínio do sexo masculino (64,3%). Após regressão logística múltipla, apenas a variável transfusão sangüínea permaneceu como fator de risco para o HCV (OR=4,28; IC 95%: 1,44;12,73). CONCLUSÕES: A prevalência da co-infecção HIV/HCV foi baixa, a transfusão sangüínea foi um fator de risco e o genótipo 1b do HCV foi o mais freqüente
Health-related quality of life in patients with type 1 diabetes mellitus in the different geographical regions of Brazil : data from the Brazilian Type 1 Diabetes Study Group
Background: In type 1 diabetes mellitus (T1DM) management, enhancing health-related quality of life (HRQoL) is as important as good metabolic control and prevention of secondary complications. This study aims to evaluate possible regional differences in HRQoL, demographic features and clinical characteristics of patients with T1DM in Brazil, a country of continental proportions, as well as investigate which variables could influence the HRQoL of these individuals and contribute to these regional disparities. Methods: This was a retrospective, cross-sectional, multicenter study performed by the Brazilian Type 1 Diabetes Study Group (BrazDiab1SG), by analyzing EuroQol scores from 3005 participants with T1DM, in 28 public clinics, among all geographical regions of Brazil. Data on demography, economic status, chronic complications, glycemic control and lipid profile were also collected. Results: We have found that the North-Northeast region presents a higher index in the assessment of the overall health status (EQ-VAS) compared to the Southeast (74.6 ± 30 and 70.4 ± 19, respectively; p < 0.05). In addition, North- Northeast presented a lower frequency of self-reported anxiety-depression compared to all regions of the country (North-Northeast: 1.53 ± 0.6; Southeast: 1.65 ± 0.7; South: 1.72 ± 0.7; Midwest: 1.67 ± 0.7; p < 0.05). These findings could not be entirely explained by the HbA1c levels or the other variables examined. Conclusions: Our study points to the existence of additional factors not yet evaluated that could be determinant in the HRQoL of people with T1DM and contribute to these regional disparities
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
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
Prevalência e fatores de risco da co-infecção HCV/HIV em pacientes portadores do HIV atendidos no serviço de doenças infecto-parasitárias do Hospital das Clínicas da Universidade Federal de Pernambuco
A infecção com o vírus da hepatite C (HCV) é comum em indivíduos infectados pelo vírus da imunodeficiência humana e representa um importante problema de saúde pública. Ambos os vírus compartilham as mesmas vias de transmissão através da via parenteral, sexual e transversal, através da mãe para o feto. No Brasil e em outros lugares do mundo, a prevalência da co-infecção HCV/HIV é de 15 a 30%. O objetivo deste estudo foi avaliar a prevalência, determinar os genótipos e os fatores de risco para a hepatite C em pacientes portadores do HIV atendidos no Serviço de Doenças Infecto-parasitárias do Hospital das Clínicas da Universidade Federal de Pernambuco. A coleta dos dados foi realizada no período de março a dezembro de 2003. Os pacientes responderam a um questionário que continha alguns dados pessoais, como idade, sexo, ano de transfusões sangüíneas e ou hemoderivados, tatuagem e uso de drogas injetáveis. Os fatores de risco foram avaliados através da análise univariada e através da regressão logística multivariada. A avaliação estatística foi usado o programa Epiinfo 6.0 e o programa SPSS PC versão 8.0. Foram estudados 343 pacientes portadores do HIV, dos quais 14(4,1%) foram positivos para o HCV (testados pelo ELISA e PCR), 9 (69,29%) eram homens e 5 (35,71%) mulheres e a faixa etária mais acometida foi de 30 a 39 anos. Analisando os fatores de risco, o estudo mostrou que o sexo, idade, uso de drogas injetáveis e tatuagem não tiveram uma associação estatisticamente significativa com a positividade para o HCV. Entretanto, indivíduos que realizaram transfusão sangüínea teve uma associação significativa com a positividade para o HCV. Os genótipos mais prevalentes foram: 04 (1b), 02 (1a) e 03 (3). Concluindo, no nosso estudo, os resultados mostram que indivíduos que realizaram transfusão sangüínea têm um risco maior de se infectar com o HC
Co-infecção por HIV/HCV em hospital universitário de Recife, Brasil Coinfección por HIV/HCV en hospital universitario de Recife, Brasil HIV/HCV coinfection at an university hospital in Recife, Brazil
OBJETIVO: Estimar a prevalência do vírus da hepatite C (HCV) e fatores de risco associados com a co-infecção em pessoas soropositivas para HIV. MÉTODOS: Estudo do tipo transversal, descritivo e analítico, com 343 portadores do HIV atendidos em um hospital universitário de Recife (PE), no período de março a dezembro de 2003. Os pacientes foram submetidos a um questionário padronizado sobre os fatores de risco. Nas amostras de soro foram pesquisados o anti-HCV pelo ELISA, o HCV-RNA por meio da RT-PCR e a identificação dos genótipos foi realizada no equipamento ABI377 (PE Biosystems®). As análises estatísticas utilizadas foram a univariada, a multivariada e a regressão logística múltipla. RESULTADOS: A prevalência encontrada para o HCV foi de 4,1% (14/343) pelo ELISA e de 3,2 % (11/343) quando utilizada a RT-PCR. Os genótipos mais freqüentes foram 1b (45%), 3 (33%) e 1a (22%). A faixa etária com maior proporção de co-infectados foi a de 30 a 39 anos, com predomínio do sexo masculino (64,3%). Após regressão logística múltipla, apenas a variável transfusão sangüínea permaneceu como fator de risco para o HCV (OR=4,28; IC 95%: 1,44;12,73). CONCLUSÕES: A prevalência da co-infecção HIV/HCV foi baixa, a transfusão sangüínea foi um fator de risco e o genótipo 1b do HCV foi o mais freqüente.<br>OBJETIVO: Estimar la prevalencia de virus de hepatitis C (HCV) y factores de riesgo asociados con la coinfección en personas seropositivas para HIV. MÉTODOS: Estudio de tipo transversal, descriptivo y analítico, con 343 portadores de HIV atendidos en un hospital universitario de Recife (Noreste de Brasil), en el período de marzo a diciembre de 2003. Los pacientes fueron sometidos a un cuestionario estandarizado sobre los factores de riesgo. En las muestras de suero fueron pesquisados el anti-HCV por ELISA, el HCV-RNA por medio de la RT-PCR y la identificación de los genotipos fue realizada en el equipo ABI377 (PE Biosystems®). Los análisis estadísticos utilizados fueron la univariada, la multivariada y la regresión logística múltiple. RESULTADOS: La prevalencia encontrada para el HCV fue de 4,1% (14/343) por ELISA y de 3,2% (11/343) por RT-PCR. Los genotipos mas frecuentes fueron 1b (45%), 3 (33%) y 1a (22%). El rango de edad con mayor proporción de coinfectados fue la de 30-39 años, con predominio del sexo masculino (64,3%). Posterior a la regresión logística múltiple, sólo la variable transfusión sanguínea permaneció como factor de riesgo para el HCV (OR=4,28; IC 95%: 1,44; 12,73). CONCLUSIONES: La prevalencia de la coinfección HIV/HCV fue baja, la transfusión sanguínea fue un factor de riesgo y el genotipo 1b de HCV fue el más frecuente.<br>OBJECTIVE: To estimate the prevalence of hepatitis C virus (HCV) infection and risks factors associated with coinfection in HIV-positive individuals. METHODS: A cross-sectional descriptive study was conducted with 343 HIV patients attended at a university hospital in Recife, Northeastern Brazil, from March to December 2003. A standardized questionnaire about risk factors was administered. Serum samples were analyzed for anti-HCV antibodies using enzyme-linked immunosorbent assay (ELISA), HCV-RNA using reverse transcription-polymerase chain reaction (RT-PCR), and genotyping using the ABI 377 (PE Biosystems®). Univariate and multivariate analyses and multiple logistic regression were performed. RESULTS: HCV prevalence was 4.1% (14/343) using ELISA and 3.2% (11/343) using RT-PCR. The most common genotypes were 1b (45%), 3 (33%) and 1a (22%). Co-infection was higher among those aged 30 to 39 years, and predominantly in males (64.3 %). In the multiple logistic regression, the variable blood transfusion was the single remaining risk factor for HCV (OR=4.28; 95% CI 1.44;12.73). CONCLUSIONS: The prevalence of HIV/HCV coinfection was low. Blood transfusion was a risk factor and HCV genotype 1b was the most frequently found