Proteinuria predicts relapse in adolescent and adult minimal change disease

OBJECTIVE: This study sought to outline the clinical and laboratory characteristics of minimal change disease in adolescents and adults and establish the clinical and laboratory characteristics of relapsing and non-relapsing patients. METHODS: We retrospectively evaluated patients with confirmed diagnoses of minimal change disease by renal biopsy from 1979 to 2009; the patients were aged >13 years and had minimum 1-year follow-ups. RESULTS: Sixty-three patients with a median age (at diagnosis) of 34 (23-49) years were studied, including 23 males and 40 females. At diagnosis, eight (12.7%) patients presented with microscopic hematuria, 17 (27%) with hypertension and 17 (27%) with acute kidney injury. After the initial treatment, 55 (87.3%) patients showed complete remission, six (9.5%) showed partial remission and two (3.1%) were nonresponders. Disease relapse was observed in 34 (54%) patients who were initial responders (n = 61). In a comparison between the relapsing patients (n = 34) and the non-relapsing patients (n = 27), only proteinuria at diagnosis showed any significant difference (8.8 (7.1-12.0) vs. 6.0 (3.6-7.3) g/day, respectively, p = 0.001). Proteinuria greater than 7 g/day at the initial screening was associated with relapsing disease. CONCLUSIONS: In conclusion, minimal change disease in adults may sometimes present concurrently with hematuria, hypertension, and acute kidney injury. The relapsing pattern in our patients was associated with basal proteinuria over 7 g/day.

A survey of evolutionary algorithms for decision-tree induction

This paper presents a survey of evolutionary algorithms that are designed for decision-tree induction. In this context, most of the paper focuses on approaches that evolve decision trees as an alternate heuristics to the traditional top-down divide-and-conquer approach. Additionally, we present some alternative methods that make use of evolutionary algorithms to improve particular components of decision-tree classifiers. The paper's original contributions are the following. First, it provides an up-to-date overview that is fully focused on evolutionary algorithms and decision trees and does not concentrate on any specific evolutionary approach. Second, it provides a taxonomy, which addresses works that evolve decision trees and works that design decision-tree components by the use of evolutionary algorithms. Finally, a number of references are provided that describe applications of evolutionary algorithms for decision-tree induction in different domains. At the end of this paper, we address some important issues and open questions that can be the subject of future research.

Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data

Background: This paper addresses the prediction of the free energy of binding of a drug candidate with enzyme InhA associated with Mycobacterium tuberculosis. This problem is found within rational drug design, where interactions between drug candidates and target proteins are verified through molecular docking simulations. In this application, it is important not only to correctly predict the free energy of binding, but also to provide a comprehensible model that could be validated by a domain specialist. Decision-tree induction algorithms have been successfully used in drug-design related applications, specially considering that decision trees are simple to understand, interpret, and validate. There are several decision-tree induction algorithms available for general-use, but each one has a bias that makes it more suitable for a particular data distribution. In this article, we propose and investigate the automatic design of decision-tree induction algorithms tailored to particular drug-enzyme binding data sets. We investigate the performance of our new method for evaluating binding conformations of different drug candidates to InhA, and we analyze our findings with respect to decision tree accuracy, comprehensibility, and biological relevance. Results: The empirical analysis indicates that our method is capable of automatically generating decision-tree induction algorithms that significantly outperform the traditional C4.5 algorithm with respect to both accuracy and comprehensibility. In addition, we provide the biological interpretation of the rules generated by our approach, reinforcing the importance of comprehensible predictive models in this particular bioinformatics application. Conclusions: We conclude that automatically designing a decision-tree algorithm tailored to molecular docking data is a promising alternative for the prediction of the free energy from the binding of a drug candidate with a flexible-receptor.

Pyridine Alkaloids from Senna multijuga As Acetylcholinesterase Inhibitors

As part of an ongoing research project on Senna and Cassia species, five new pyridine alkaloids, namely, 12'-hydroxy-7'-multijuguinol (1), 12'-hydroxy-8'-multijuguinol (2), methyl multijuguinate (3), 7'-multijuguinol (4), and 8'-multijuguinol (5), were isolated from the leaves of Senna multijuga (syn. Cassia multijuga). Their structures were elucidated on the basis of spectroscopic data analysis. Mass spectrometry was used for confirmation of the positions of the hydroxy groups in the side-chains of 1, 2, 4, and 5. All compounds exhibited weak in vitro acetylcholinesterase inhibitory activity as compared with the standard compound physostigmine.

TOMOGRAPHIC ANALYSIS FOR C2 SCREW PLACEMENT IN RHEUMATOID ARTHRITIS PATIENTS

Objective: A morphological analysis of the bone structure of 02 in patients with rheumatoid arthritis in order to enhance the security of the stabilization procedures for this vertebra. Methods: We retrospectively analyzed 20 CT scans of the cervical spine performed in patients with rheumatoid arthritis; the following parameters were measured: spinolaminar angle, thickness and length of C2 lamina. Results: The mean values are: 5.92mm and 5.87mm for thickness of right and left laminae retrospectively, 27.75mm for right lamina length and 27.94mm for left lamina length, and 44.7 degrees for spinolaminar angle. Conclusion: The values obtained are consistent with studies in normal subjects published by other groups, with no apparent need for change in the screw placement technique. Level of Evidence IV, Case Series.

Laparoscopic Adrenalectomy in Children for Neuroblastoma: Report of Case Series

Background: Neuroblastoma is one of the most common solid tumors in the pediatric population and the adrenal gland is the main abdominal site of this tumor. The laparoscopic approach has become the standard of care for most benign adrenal tumors in adults, but the role of laparoscopic adrenalectomy in children for malignant tumor is still a point of controversy. However, there is a growing experience with laparoscopic neuroblastoma resection of small lesions and the use of minimally invasive techniques for the initial management of infiltrative neuroblastoma in the last years. The aim of this study is to describe our initial experience with laparoscopic adrenalectomy for neuroblastoma in children, based on surgical outcomes. Methods: A retrospective review of 7 laparoscopic adrenalectomies performed in a single institution between October 2008 and October 2009. We focused our analysis on early surgical outcomes. Results: The mean tumoral size was 2.8 +/- 0.9 cm, the average surgical time was 38.6 +/- 65.5 minutes, and the mean hospital stay was 2.9 +/- 1.6 days. One stage IV patient was submitted to conversion due to bleeding and needed blood transfusion. There were no late complications or deaths and the mean follow-up time was 18.8 +/- 6.1 months. Conclusions: The laparoscopic approach for adrenal neuroblastoma resection is feasible in children with good outcomes, but should be reserved to patients with small, well-circumscribed adrenal lesions, without invasive or infiltrative disease.

Behavioral and EEG effects of GABAergic manipulation of the nigro-tectal pathway in the Wistar audiogenic rat (WAR) strain II: An EEG wavelet analysis and retrograde neuronal tracer approach

The role of the substantia nigra pars reticulata (SNPr) and superior colliculus (SC) network in rat strains susceptible to audiogenic seizures still remain underexplored in epileptology. In a previous study from our laboratory, the GABAergic drugs bicuculline (BIC) and muscimol (MUS) were microinjected into the deep layers of either the anterior SC (aSC) or the posterior SC (pSC) in animals of the Wistar audiogenic rat (WAR) strain submitted to acoustic stimulation, in which simultaneous electroencephalographic (EEG) recording of the aSC, pSC, SNPr and striatum was performed. Only MUS microinjected into the pSC blocked audiogenic seizures. In the present study, we expanded upon these previous results using the retrograde tracer Fluorogold (FG) microinjected into the aSC and pSC in conjunction with quantitative EEG analysis (wavelet transform), in the search for mechanisms associated with the susceptibility of this inbred strain to acoustic stimulation. Our hypothesis was that the WAR strain would have different connectivity between specific subareas of the superior colliculus and the SNPr when compared with resistant Wistar animals and that these connections would lead to altered behavior of this network during audiogenic seizures. Wavelet analysis showed that the only treatment with an anticonvulsant effect was MUS microinjected into the pSC region, and this treatment induced a sustained oscillation in the theta band only in the SNPr and in the pSC. These data suggest that in WAR animals, there are at least two subcortical loops and that the one involved in audiogenic seizure susceptibility appears to be the pSC-SNPr circuit. We also found that WARs presented an increase in the number of FG + projections from the posterior SNPr to both the aSC and pSC (primarily to the pSC), with both acting as proconvulsant nuclei when compared with Wistar rats. We concluded that these two different subcortical loops within the basal ganglia are probably a consequence of the WAR genetic background. (C) 2012 Elsevier Inc. All rights reserved.

Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): Study protocol for a randomized controlled trial

Background: Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design: ART is a pragmatic, multicenter, randomized (concealed), controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 h duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45 cmH(2)O and peak pressure of 60 cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4 to 6 mL/kg of predicted body weight) and targeting plateau pressure <= 30 cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from days 1 to 28; ICU, in-hospital, and 6-month survival. ART is an event-guided trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion: If the ART strategy with maximum recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method.

Prevalence and risk factors of Hepatitis C virus infection in Brazil, 2005 through 2009: a cross-sectional study

Abstract Background Hepatitis C chronic liver disease is a major cause of liver transplant in developed countries. This article reports the first nationwide population-based survey conducted to estimate the seroprevalence of HCV antibodies and associated risk factors in the urban population of Brazil. Methods The cross sectional study was conducted in all Brazilian macro-regions from 2005 to 2009, as a stratified multistage cluster sample of 19,503 inhabitants aged between 10 and 69 years, representing individuals living in all 26 State capitals and the Federal District. Hepatitis C antibodies were detected by a third-generation enzyme immunoassay. Seropositive individuals were retested by Polymerase Chain Reaction and genotyped. Adjusted prevalence was estimated by macro-regions. Potential risk factors associated with HCV infection were assessed by calculating the crude and adjusted odds ratios, 95% confidence intervals (95% CI) and p values. Population attributable risk was estimated for multiple factors using a case–control approach. Results The overall weighted prevalence of hepatitis C antibodies was 1.38% (95% CI: 1.12%–1.64%). Prevalence of infection increased in older groups but was similar for both sexes. The multivariate model showed the following to be predictors of HCV infection: age, injected drug use (OR = 6.65), sniffed drug use (OR = 2.59), hospitalization (OR = 1.90), groups socially deprived by the lack of sewage disposal (OR = 2.53), and injection with glass syringe (OR = 1.52, with a borderline p value). The genotypes 1 (subtypes 1a, 1b), 2b and 3a were identified. The estimated population attributable risk for the ensemble of risk factors was 40%. Approximately 1.3 million individuals would be expected to be anti-HCV-positive in the country. Conclusions The large estimated absolute numbers of infected individuals reveals the burden of the disease in the near future, giving rise to costs for the health care system and society at large. The known risk factors explain less than 50% of the infected cases, limiting the prevention strategies. Our findings regarding risk behaviors associated with HCV infection showed that there is still room for improving strategies for reducing transmission among drug users and nosocomial infection, as well as a need for specific prevention and control strategies targeting individuals living in poverty.

Consenso 2012 da Sociedade Brasileira de Reumatologia para o tratamento da artrite reumatoide

OBJETIVO: Elaborar recomendações para o tratamento da artrite reumatoide no Brasil. MÉTODO: Revisão da literatura com seleção de artigos baseados em evidência e opinião de especialistas da Comissão de Artrite Reumatoide da Sociedade Brasileira de Reumatologia. RESULTADOS E CONCLUSÕES: 1) A decisão terapêutica deve ser compartilhada com o paciente; 2) imediatamente após o diagnóstico, uma droga modificadora do curso da doença (DMCD) deve ser prescrita e o tratamento ajustado para atingir remissão; 3) o tratamento deverá ser conduzido por reumatologista; 4) o tratamento inicial inclui DMCD sintéticas; 5) o metotrexato é a droga de escolha; 6) pacientes que não alcançaram resposta após a utilização de dois esquemas de DMCD sintéticas devem ser avaliados para DMCD biológicas; 7) excepcionalmente, DMCD biológicas poderão ser consideradas mais precocemente; 8) recomenda-se preferencialmente o uso de agentes anti-TNF como terapia biológica inicial; 9) após falha terapêutica a uma primeira DMCD biológica, outros biológicos poderão ser utilizados; 10) ciclofosfamida e azatioprina podem ser consideradas em manifestações extra-articulares graves; 11) recomenda-se a utilização de corticoide oral em baixas doses e por curtos períodos; 12) os anti-inflamatórios não hormonais devem sempre ser prescritos em associação à DMCD; 13) avaliações clínicas devem ser mensais no início do tratamento; 14) terapia física, reabilitação e terapia ocupacional são indicadas; 15) deve-se recomendar tratamento cirúrgico para correção de sequelas; 16) métodos de terapia alternativa não substituem a terapia tradicional; 17) deve-se orientar planejamento familiar; 18) orienta-se a busca ativa e o manejo de comorbidades; 19) atualizar e documentar a vacinação do paciente; 20) doenças transmissíveis endêmico-epidêmicas devem ser investigadas e tratadas.

Consenso 2012 da Sociedade Brasileira de Reumatologia sobre o manejo de comorbidades em pacientes com artrite reumatoide

OBJETIVO: Elaborar recomendações da Comissão de Artrite Reumatoide da Sociedade Brasileira de Reumatologia (SBR) para o manuseio das comorbidades em artrite reumatoide (AR). MÉTODOS: Revisão da literatura e opinião de especialistas da Comissão de AR da SBR. RESULTADOS E CONCLUSÕES: Recomendações: 1) Diagnosticar e tratar precoce e adequadamente as comorbidades; 2) O tratamento específico da AR deve ser adaptado às comorbidades; 3) Inibidores da enzima conversora da angiotensina (IECA) ou bloqueadores dos receptores de angiotensina II (BRA) são preferidos no tratamento da hipertensão arterial sistêmica; 4) Em pacientes com AR e diabetes mellitus, deve-se evitar o uso contínuo de dose cumulativa alta de corticoides; 5) Sugere-se o uso de estatinas para manter níveis de LDL menor que 100 mg/dL e índice aterosclerótico menor que 3,5 em pacientes com AR e comorbidades; 6) A síndrome metabólica deve ser tratada; 7) Recomenda-se a realização de exames para a investigação de aterosclerose subclínica; 8) Maior vigilância para um diagnóstico precoce de neoplasia oculta; 9) Medidas de prevenção para trombose venosa são sugeridas; 10) Recomenda-se a realização de densitometria óssea em pacientes com AR acima de 50 anos, e naqueles com idade menor com corticoide maior que 7,5 mg por mais de três meses; 11) Pacientes com AR e osteoporose devem evitar quedas, e devem ser aconselhados a aumentarem a ingestão de cálcio, aumentarem a exposição solar e fazerem atividade física; 12) Suplementação de cálcio e vitamina D é sugerida.Autilização de bisfosfonatos é sugerida para pacientes com escore T menor que -2,5 na densidade mineral óssea; 13) Recomenda-se equipe multidisciplinar, com participação ativa do médico reumatologista no tratamento das comorbidades.

Análise tomográfica para colocação de parafusos em C2 nos pacientes com artrite reumatoide

OBJETIVO: A análise morfológica da estrutura óssea de C2, em pacientes com artrite reumatoide, com o objetivo de aumentar a segurança de procedimentos de estabilização desta vértebra. MÉTODOS: Analisamos retrospectivamente 20 tomografias de coluna cervical realizadas em pacientes com artrite reumatoide, foram medidos os seguintes parâmetros: o ângulo espinolaminar, espessura e comprimento da lâmina de C2. RESULTADOS: Os valores médios encontrados são: espessura das lâminas direita 5,92mm e esquerda 5,87mm; comprimento das lâminas direita 27,75mm e esquerda 27,94mm e ângulo espinolaminar 44,7(0). CONCLUSÃO: Os valores obtidos são compatíveis com os de estudos realizados em indivíduos normais publicados por outros autores, não havendo aparente necessidade de alteração na técnica para colocação dos parafusos. Nível de Evidência IV, Série de casos.

Shear force and torsion in reinforced concrete beam elements: theoretical analysis based on Brazilian Standard Code ABNT NBR 6118:2007

Reinforced concrete beam elements are submitted to applicable loads along their life cycle that cause shear and torsion. These elements may be subject to only shear, pure torsion or both, torsion and shear combined. The Brazilian Standard Code ABNT NBR 6118:2007 [1] fixes conditions to calculate the transverse reinforcement area in beam reinforced concrete elements, using two design models, based on the strut and tie analogy model, first studied by Mörsch [2]. The strut angle θ (theta) can be considered constant and equal to 45º (Model I), or varying between 30º and 45º (Model II). In the case of transversal ties (stirrups), the variation of angle α (alpha) is between 45º and 90º. When the equilibrium torsion is required, a resistant model based on space truss with hollow section is considered. The space truss admits an inclination angle θ between 30º and 45º, in accordance with beam elements subjected to shear. This paper presents a theoretical study of models I and II for combined shear and torsion, in which ranges the geometry and intensity of action in reinforced concrete beams, aimed to verify the consumption of transverse reinforcement in accordance with the calculation model adopted As the strut angle on model II ranges from 30º to 45º, transverse reinforcement area (Asw) decreases, and total reinforcement area, which includes longitudinal torsion reinforcement (Asℓ), increases. It appears that, when considering model II with strut angle above 40º, under shear only, transverse reinforcement area increases 22% compared to values obtained using model I.

Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation

Decision tree induction algorithms represent one of the most popular techniques for dealing with classification problems. However, traditional decision-tree induction algorithms implement a greedy approach for node splitting that is inherently susceptible to local optima convergence. Evolutionary algorithms can avoid the problems associated with a greedy search and have been successfully employed to the induction of decision trees. Previously, we proposed a lexicographic multi-objective genetic algorithm for decision-tree induction, named LEGAL-Tree. In this work, we propose extending this approach substantially, particularly w.r.t. two important evolutionary aspects: the initialization of the population and the fitness function. We carry out a comprehensive set of experiments to validate our extended algorithm. The experimental results suggest that it is able to outperform both traditional algorithms for decision-tree induction and another evolutionary algorithm in a variety of application domains.