939 resultados para Peritoneal Diseases
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Pain and sleep share mutual relations under the influence of cognitive and neuroendocrine changes. Sleep is an important homeostatic feature and, when impaired, contributes to the development or worsening of pain-related diseases. The aim of the present review is to provide a panoramic view for the generalist physician on sleep disorders that occur in pain-related diseases within the field of Internal Medicine, such as rheumatic diseases, acute coronary syndrome, digestive diseases, cancer, and headache.
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It is well known that the risk of development of gastric cancer (GC) in Helicobacter pylori-infected patients depends on several factors. Thus, the aim of this study was to investigate the effect of proinflammatory cytokine gene polymorphisms for IL-1β, IL-1RN and TNF-α on the development of GC in a Brazilian population. A total of 202 biopsies obtained from Brazilian patients with chronic gastritis and GC were included in the study. Infection with H. pylori cagA+ was determined by the polymerase chain reaction (PCR) as previously described. IL-1β, IL-1RN and TNF-α polymorphism genotyping was performed by restriction fragment length polymorphism PCR. Associations between gene polymorphisms, clinical diseases and virulence markers were evaluated using either the χ² test or the Fisher exact test. Our results demonstrated that the IL-1β -511 C/C and IL-1β -511 C/T alleles were associated with chronic gastritis in H. pylori-positive patients (P = 0.04 and P = 0.05, respectively) and the IL-1β -511 C/C genotype was associated with GC (P = 0.03). The frequency of IL-1RN alleles from patients with chronic gastritis and GC indicated that there was no difference between the genotypes of the groups studied. Similar results were found for TNF-α -308 gene polymorphisms. Our results indicate that the IL-1β -511 C/C and C/T gene polymorphisms are associated with chronic gastritis and GC development in H. pylori-infected individuals.
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Interest in the role of extracellular vesicles in various diseases including cancer has been increasing. Extracellular vesicles include microvesicles, exosomes, apoptotic bodies, and argosomes, and are classified by size, content, synthesis, and function. Currently, the best characterized are exosomes and microvesicles. Exosomes are small vesicles (40-100 nm) involved in intercellular communication regardless of the distance between them. They are found in various biological fluids such as plasma, serum, and breast milk, and are formed from multivesicular bodies through the inward budding of the endosome membrane. Microvesicles are 100-1000 nm vesicles released from the cell by the outward budding of the plasma membrane. The therapeutic potential of extracellular vesicles is very broad, with applications including a route of drug delivery and as biomarkers for diagnosis. Extracellular vesicles extracted from stem cells may be used for treatment of many diseases including kidney diseases. This review highlights mechanisms of synthesis and function, and the potential uses of well-characterized extracellular vesicles, mainly exosomes, with a special focus on renal functions and diseases.
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Crohn's disease (CD) and ulcerative colitis (UC) are intestinal disorders that comprise the inflammatory bowel diseases (IBD). These disorders have a significant effect on the quality of life of affected patients and the increasing number of IBD cases worldwide is a growing concern. Because of the overall burden of IBD and its multifactorial etiology, efforts have been made to improve the medical management of these inflammatory conditions. The classical therapeutic strategies aim to control the exacerbated host immune response with aminosalicylates, antibiotics, corticosteroids, thiopurines, methotrexate and anti-tumor necrosis factor (TNF) biological agents. Although successful in the treatment of several CD or UC conditions, these drugs have limited effectiveness, and variable responses may culminate in unpredictable outcomes. The ideal therapy should reduce inflammation without inducing immunosuppression, and remains a challenge to health care personnel. Recently, a number of additional approaches to IBD therapy, such as new target molecules for biological agents and cellular therapy, have shown promising results. A deeper understanding of IBD pathogenesis and the availability of novel therapies are needed to improve therapeutic success. This review describes the overall key features of therapies currently employed in clinical practice as well as novel and future alternative IBD treatment methods.
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Cardiovascular diseases (CVDs) are known to be associated with poor sleep quality in general populations, but they have not been consistently associated with specific work schedules. Studies of CVD generally do not simultaneously consider sleep and work schedules, but that approach could help to disentangle their effects. We investigated the association between insomnia and a self-reported physician diagnosis of CVD in day and night workers, considering all sleep episodes during nocturnal and diurnal sleep. A cross-sectional study was conducted in 1307 female nursing professionals from 3 public hospitals, using baseline data from the “Health and Work in Nursing - a Cohort Study.” Participants were divided into two groups: i) day workers with no previous experience in night shifts (n=281) and whose data on insomnia were related to nocturnal sleep and ii) those who worked exclusively at night (n=340) and had data on both nocturnal and diurnal sleep episodes, as they often sleep at daytime. Multiple logistic regression analysis was performed. Among day workers, insomnia complaints increased the odds of CVD 2.79-fold (95% CI=1.01-6.71) compared with workers who had no complaints. Among night workers, reports of insomnia during both nocturnal and diurnal sleep increased the odds of reported CVD 3.07-fold (95% CI=1.30-7.24). Workers with insomnia had similar probabilities of reporting CVD regardless of their work schedule, suggesting a relationship to insomnia and not to night work per se. The results also highlighted the importance of including evaluation of all sleep episodes (diurnal plus nocturnal sleep) for night workers.
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Programmed necrosis or necroptosis is an alternative form of cell death that is executed through a caspase-independent pathway. Necroptosis has been implicated in many pathological conditions. Genetic or pharmacological inhibition of necroptotic signaling has been shown to confer neuroprotection after traumatic and ischemic brain injury. Therefore, the necroptotic pathway represents a potential target for neurological diseases that are managed by neurosurgeons. In this review, we summarize recent advances in the understanding of necroptotic signaling pathways and explore the role of necroptotic cell death in craniocerebral trauma, brain tumors, and cerebrovascular diseases.
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Exposure to nitrogen oxides (NOx) emitted by burning fossil fuels has been associated with respiratory diseases. We aimed to estimate the effects of NOx exposure on mortality owing to respiratory diseases in residents of Taubaté, São Paulo, Brazil, of all ages and both sexes. This time-series ecological study from August 1, 2011 to July 31, 2012 used information on deaths caused by respiratory diseases obtained from the Health Department of Taubaté. Estimated daily levels of pollutants (NOx, particulate matter, ozone, carbon monoxide) were obtained from the Centro de Previsão de Tempo e Estudos Climáticos Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System. These environmental variables were used to adjust the multipollutant model for apparent temperature. To estimate association between hospitalizations owing to asthma and air pollutants, generalized additive Poisson regression models were developed, with lags as much as 5 days. There were 385 deaths with a daily mean (±SD) of 1.05±1.03 (range: 0-5). Exposure to NOx was significantly associated with mortality owing to respiratory diseases: relative risk (RR)=1.035 (95% confidence interval [CI]: 1.008-1.063) for lag 2, RR=1.064 (95%CI: 1.017-1.112) lag 3, RR=1.055 (95%CI: 1.025-1.085) lag 4, and RR=1.042 (95%CI: 1.010-1.076) lag 5. A 3 µg/m3 reduction in NOx concentration resulted in a decrease of 10-18 percentage points in risk of death caused by respiratory diseases. Even at NOx concentrations below the acceptable standard, there is association with deaths caused by respiratory diseases.
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We investigated the risk factors for pulmonary hypertension (PH) in patients receiving maintenance peritoneal dialysis (MPD). A group of 180 end-stage renal disease patients (124 men and 56 women; mean age: 56.43±8.36) were enrolled in our study, which was conducted between January 2009 and June 2014. All of the patients received MPD treatment in the Dialysis Center of the Second Affiliated Hospital of Soochow University. Clinical data, laboratory indices, and echocardiographic data from these patients were collected, and follow-ups were scheduled bi-monthly. The incidence and relevant risk factors of PH were analyzed. The differences in measurement data were compared by t-test and enumeration data were compared with the χ2 test. Among the 180 patients receiving MPD, 60 were diagnosed with PH. The remaining 120 were regarded as the non-PH group. Significant differences were observed in the clinical data, laboratory indices, and echocardiographic data between the PH and non-PH patients (all P<0.05). Furthermore, hypertensive nephropathy patients on MPD showed a significantly higher incidence of PH compared with non-hypertensive nephropathy patients (P<0.05). Logistic regression analysis showed that the proportion of internal arteriovenous fistula, C-reactive protein levels, and ejection fraction were the highest risk factors for PH in patients receiving MPD. Our study shows that there is a high incidence of PH in patients receiving MPD and hypertensive nephropathy patients have an increased susceptibility to PH.
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Personalized medicine will revolutionize our capabilities to combat disease. Working toward this goal, a fundamental task is the deciphering of geneticvariants that are predictive of complex diseases. Modern studies, in the formof genome-wide association studies (GWAS) have afforded researchers with the opportunity to reveal new genotype-phenotype relationships through the extensive scanning of genetic variants. These studies typically contain over half a million genetic features for thousands of individuals. Examining this with methods other than univariate statistics is a challenging task requiring advanced algorithms that are scalable to the genome-wide level. In the future, next-generation sequencing studies (NGS) will contain an even larger number of common and rare variants. Machine learning-based feature selection algorithms have been shown to have the ability to effectively create predictive models for various genotype-phenotype relationships. This work explores the problem of selecting genetic variant subsets that are the most predictive of complex disease phenotypes through various feature selection methodologies, including filter, wrapper and embedded algorithms. The examined machine learning algorithms were demonstrated to not only be effective at predicting the disease phenotypes, but also doing so efficiently through the use of computational shortcuts. While much of the work was able to be run on high-end desktops, some work was further extended so that it could be implemented on parallel computers helping to assure that they will also scale to the NGS data sets. Further, these studies analyzed the relationships between various feature selection methods and demonstrated the need for careful testing when selecting an algorithm. It was shown that there is no universally optimal algorithm for variant selection in GWAS, but rather methodologies need to be selected based on the desired outcome, such as the number of features to be included in the prediction model. It was also demonstrated that without proper model validation, for example using nested cross-validation, the models can result in overly-optimistic prediction accuracies and decreased generalization ability. It is through the implementation and application of machine learning methods that one can extract predictive genotype–phenotype relationships and biological insights from genetic data sets.
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Quinoa is considered a pseudocereal with proteins of high biological value, carbohydrates of low glycemic index, phytosteroids, and omega-3 and 6 fatty acids that bring benefits to the human health. The purpose of this study was to investigate the effects of quinoa on the biochemical and anthropometric profile and blood pressure in humans, parameters for measuring risk of cardiovascular diseases. Twenty-two 18 to 45-year-old students were treated daily for 30 days with quinoa in the form of a cereal bar. Blood samples were collected before and after 30 days of treatment to determine glycemic and biochemical profile of the group. The results indicated that quinoa had beneficial effects on part of the population studied since the levels of total cholesterol, triglycerides, and LDL-c showed reduction. It can be concluded that the use of quinoa in diet can be considered beneficial in the prevention and treatment of risk factors related to cardiovascular diseases that are among the leading causes of death in today's globalized world. However, further studies are needed to prove the benefits observed.
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The objective was to determine the glycemic index and glycemic load of tropical fruits and the potential risk for chronic diseases. Nine fruits were investigated: coconut water (for the purpose of this study, coconut water was classified as a “fruit”), guava, tamarind, passion fruit, custard apple, hog plum, cashew, sapodilla, and soursop. The GI and GL were determined according to the Food and Agriculture Organization protocol. The GL was calculated taking into consideration intake recommendation guidelines; 77.8% of the fruits had low GI although significant oscillations were observed in some graphs, which may indicate potential risks of disease. Coconut water and custard apple had a moderate GI, and all fruits had low GL. The fruits evaluated are healthy and can be consumed following the daily recommended amount. However, caution is recommended with fruits causing early glycemic peak and the fruits with moderated GI (coconut water and custard apple).
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A Insuficiência Cardíaca Congestiva (ICC) é uma patologia com incidência crescente e que representa uma condição de grande impacto na saúde pública, com alta morbidade e mortalidade. O excesso de volume é uma complicação prevalente, presente em 80% dos pacientes atendidos com o diagnóstico de ICC. Estratégias farmacológicas e não farmacológicas no manejo terapêutico da ICC visam ao melhor manejo do volume e à redução no uso de diuréticos. A ultrafiltração extracorpórea tem evidenciado melhor controle de peso, redução nos dias de hospitalização e re-hospitalização dos pacientes com ICC. Neste artigo, relatamos dois casos atendidos no Hospital de Clínicas de Porto Alegre, relativos a pacientes com diagnóstico de ICC tratados com diálise peritoneal.
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INTRODUÇÃO: Pouco se conhece sobre a evolução de pacientes que iniciam DP como única alternativa. OBJETIVOS: Descrever o perfil clínico-demográfico e a ocorrência de peritonite em uma amostra de pacientes convertidos de HD para DP por exaustão de acesso vascular. MÉTODOS: Revisão dos prontuários de todos os pacientes do programa de DP do HGRS. RESULTADOS: Foram estudados 22 pacientes com idade mediana de 47,9 anos, 54,5% de homens, 84,2% de negros ou mulatos, 68,2% procedentes do interior da Bahia. DP foi a modalidade inicial de TRS em apenas quatro pacientes. Os 18 pacientes restantes iniciaram TRS através de HD; neste grupo, predominou o início de HD de forma emergencial e através de cateter duplo-lúmen (CDL). Em uma mediana de 7,7 meses em HD, a maioria dos pacientes (64,7%) usou mais de quatro CDL. Em apenas 7/18 (39%) pacientes, a conversão de HD para DP foi feita por escolha do paciente; na maioria dos casos, 11/18 (61%), o motivo de conversão foi exaustão de acesso vascular para HD. Peritonite foi mais frequente nos pacientes que entraram em HD por exaustão de acesso vascular que no restante do grupo. CONCLUSÕES: O início de TRS de forma emergencial através de HD utilizando CDL pode levar a uma rápida exaustão de acesso vascular, deixando a DP como única alternativa viável. Este modo inadequado de "seleção" de pacientes para DP está associado a maiores chances de ocorrência de peritonite.
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INTRODUÇÃO: A partir da vivência no atendimento de crianças/adolescentes portadores de doença renal crônica (DRC) em tratamento dialítico no ambiente hospitalar pensou-se que aspectos seriam relevantes para a aplicação da diálise peritoneal domiciliar. O objetivo deste estudo foi descrever o nível de escolaridade e de informação do cuidador sobre a técnica de diálise peritoneal (DP), a renda familiar e condições gerais do local de realização da diálise e buscar associação com a realização inadequada da técnica. MÉTODO: Trata-se de um estudo descritivo do universo de 30 crianças e adolescentes com DRC assistidos pelo HC/UFMG no período de março de 2004 a maio de 2006. Os dados foram analisados utilizando-se o software SPSS versão 13.0. As seguintes variáveis foram testadas como possíveis fatores de risco para inadequação da técnica de diálise: escolaridade do cuidador, renda familiar, nível de informação do cuidador sobre a técnica de diálise, antissepsia das mãos, ausência de pia no quarto da diálise. RESULTADOS: A qualidade de aplicação da técnica de DP foi considerada inadequada em 18 (60%) pacientes. Todos os valores de Odds Ratio estiveram dentro dos limites dos intervalos de confiança (95%) e foram > 1, indicando a possibilidade de associação positiva entre a variável independente e a variável pesquisada, embora sem diferença estatística significativa. CONCLUSÕES: A análise estatística não mostrou associação entre as variáveis, entretanto acredita-se que elas exercem um papel positivo para o sucesso da aplicação da técnica dialítica.
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INTRODUÇÃO: Peritonite é a principal complicação relacionada com a diálise peritoneal (DP). OBJETIVO: Avaliar possíveis preditores para o seu desenvolvimento em pacientes em programa crônico na modalidade. MÉTODO: Realizou-se estudo de coorte retrospectivo em 330 pacientes (média de idade 53 ± 19 anos) em programa de DP na Clínica de Nefrologia de Sergipe (Clinese), em Aracaju/ SE, Brasil, entre 1.º de janeiro de 2003 e 31 de dezembro de 2007. Variáveis sociodemográficas e clínicas foram avaliadas comparativamente entre pacientes que apresentaram (141% - 42,7%) ou não (189% - 57,3%) peritonite. Na análise estatística, utilizaramse teste t de Student, qui-quadrado e modelo de regressão com múltiplas variáveis. RESULTADOS : Ocorreu um episódio de peritoniteacada28,4pacientes/mês(0,42episódio/ paciente/ano). O Staphylococcus aureus foi o agente etiológico mais frequente (27,8%). Não se utilizava antibioticoterapia profilática e 136 pacientes (41,2%) haviam apresentado previamente infecção de sítio de saída do cateter peritoneal (ISSCP). Identificou-se maior risco de peritonite nos pacientes com albuminemia < 3,0 g/dL no início do tratamento [risco relativo (RR) = 2,0; intervalo de confiança (IC) de 95% = 1,21 - 3,43; p < 0,01], escolaridade < 4 anos (RR = 2,15; IC = 1,09 - 4,24; p = 0,03) e com histórico de ISSCP (RR = 2,63; IC = 1,57 - 4,41; p < 0,01). Não houve diferença significante entre os grupos no tocante a gênero, idade, renda familiar, procedência, presença ou não de diabetes, forma de início do tratamento (se eletiva ou emergencial), tipo de cateter e tipo de implante. CONCLUSÕES: Hipoalbuminemia, menor escolaridade e ISSCP mostraram-se como fatores preditores independentes de peritonite. Embora os índices de peritonite observados sigam os padrões internacionais, recomendam-se estratégias profiláticas para ISSCP.