Outcome variables for osteoarthritis clinical trials: the OMERACT-OARSI set of responder criteria

Improvement in analysis and reporting results of osteoarthritis (OA) clinical trials has been recently obtained because of harmonization and standardization of the selection of outcome variables (OMERACT 3 and OARSI). Moreover, OARSI has recently proposed the OARSI responder criteria. This composite index permits presentation of results of symptom modifying clinical trials in OA based on individual patient responses (responder yes/no). The 2 organizations (OMERACT and OARSI) established. a task force aimed at evaluating: (1) the variability of observed placebo and active treatment effects using the OARSI responder criteria; and (2) the possibility of proposing a simplified set of criteria. The conclusions of the task force were presented and discussed during the OMERACT 6 conference, where a simplified set of responder criteria (OMERACT-OARSI set of criteria) was proposed.

Simultaneous selection in progenies of yellow passion fruit using selection indices

This study aimed to evaluate the efficiency of simultaneous selection (selection indices) using estimated genetic gains in yellow passion fruit and to make a comparison between the methodologies of Mulamba & Mock and Elston. The study was conducted with 26 sib progenies of yellow passion fruit for intrinsic production characteristics including fruit number, fruit mass, fruit length and diameter, and for the fruit characteristics skin thickness, soluble solids and acidity. Two methodologies were applied: first, in the joint analysis of fruit characteristics and of intrinsic production characteristics in a single phase of selection; and second, in the analysis in two phases, in which priority was given to the intrinsic production characteristics in the first phase, and later, in the second phase, the best fruit characteristics were chosen among the progenies of the first phase. The analysis of variance was applied to the data to detect genetic variability among progenies. The Elston's selection indice was unable to provide distribution of genetic gains consistent with the purposes of the study, as it selected a single progeny of passion fruit. However, the index based on the sum of ranks of Mulamba & Mock was more suitable, as it provided a balanced distribution of gains, selecting a larger number of progenies. The methodology of selection using indices is advantageous in passion fruit, since it contributes to higher genetic gains for all the traits evaluated, and the selection in a single phase was proved efficient for progeny selection.

Sustainable Tourism and Agriculture Multifunctionality by PAR: A Variable Selection Approach

Copyright © 2013 Springer Netherlands.

Clustering of variables with a three-way approach for health sciences

TPM Vol. 21, No. 4, December 2014, 435-447 – Special Issue © 2014 Cises.

Feature selection for clustering categorical data with an embedded modelling approach

Research on the problem of feature selection for clustering continues to develop. This is a challenging task, mainly due to the absence of class labels to guide the search for relevant features. Categorical feature selection for clustering has rarely been addressed in the literature, with most of the proposed approaches having focused on numerical data. In this work, we propose an approach to simultaneously cluster categorical data and select a subset of relevant features. Our approach is based on a modification of a finite mixture model (of multinomial distributions), where a set of latent variables indicate the relevance of each feature. To estimate the model parameters, we implement a variant of the expectation-maximization algorithm that simultaneously selects the subset of relevant features, using a minimum message length criterion. The proposed approach compares favourably with two baseline methods: a filter based on an entropy measure and a wrapper based on mutual information. The results obtained on synthetic data illustrate the ability of the proposed expectation-maximization method to recover ground truth. An application to real data, referred to official statistics, shows its usefulness.

A multivariate analysis of socio-demographic factors, water contact patterns and Schistosoma mansoni infection in an endemic area in Brazil

Associations between socio-demographic factors, water contact patterns and Schistosoma mansoni infection were investigated in 506 individuals (87% of inhabitants over 1 year of age) in an endemic area in Brazil (Divino), aiming at determining priorities for public health measures to prevent the infection. Those who eliminated S. mansoni eggs (n = 198) were compared to those without eggs in the stools (n = 308). The following explanatory variables were considered: age, sex, color, previous treatment with schistosomicide, place of birth, quality of the houses, water supply for the household, distance from houses to stream, and frequency and reasons for water contact. Factors found to be independently associated with the infection were age (10-19 and > 20 yrs old), and water contact for agricultural activities, fishing, and swimming or bathing (Adjusted relative odds = 5.0, 2.4, 3.2, 2.1 and 2.0, respectively). This suggests the need for public health measures to prevent the infection, emphasizing water contact for leisure and agricultural activities in this endemic area.

Optimization of River Water Quality Surveys by Multivariate Analysis of Physicochemical, Bacteriological and Ecotoxicological Data

This study aims to optimize the water quality monitoring of a polluted watercourse (Leça River, Portugal) through the principal component analysis (PCA) and cluster analysis (CA). These statistical methodologies were applied to physicochemical, bacteriological and ecotoxicological data (with the marine bacterium Vibrio fischeri and the green alga Chlorella vulgaris) obtained with the analysis of water samples monthly collected at seven monitoring sites and during five campaigns (February, May, June, August, and September 2006). The results of some variables were assigned to water quality classes according to national guidelines. Chemical and bacteriological quality data led to classify Leça River water quality as “bad” or “very bad”. PCA and CA identified monitoring sites with similar pollution pattern, giving to site 1 (located in the upstream stretch of the river) a distinct feature from all other sampling sites downstream. Ecotoxicity results corroborated this classification thus revealing differences in space and time. The present study includes not only physical, chemical and bacteriological but also ecotoxicological parameters, which broadens new perspectives in river water characterization. Moreover, the application of PCA and CA is very useful to optimize water quality monitoring networks, defining the minimum number of sites and their location. Thus, these tools can support appropriate management decisions.

Materials selection for a set of multiple parts considering manufacturing costs and weight reduction with structural isoperformance using direct multisearch optimization

Materials selection is a matter of great importance to engineering design and software tools are valuable to inform decisions in the early stages of product development. However, when a set of alternative materials is available for the different parts a product is made of, the question of what optimal material mix to choose for a group of parts is not trivial. The engineer/designer therefore goes about this in a part-by-part procedure. Optimizing each part per se can lead to a global sub-optimal solution from the product point of view. An optimization procedure to deal with products with multiple parts, each with discrete design variables, and able to determine the optimal solution assuming different objectives is therefore needed. To solve this multiobjective optimization problem, a new routine based on Direct MultiSearch (DMS) algorithm is created. Results from the Pareto front can help the designer to align his/hers materials selection for a complete set of materials with product attribute objectives, depending on the relative importance of each objective.

Análise do comportamento de estruturas através de ensaios de carga

A engenharia civil, rege-se pela garantia de segurança e de funcionalidade das obras que projeta e executa. Para cumprir tais requisitos, é necessário durante a sua vida útil, no final da construção, reforço ou reabilitação, proceder à avaliação da conformidade entre o comportamento real da estrutura e os pressupostos subjacentes ao projeto. Esta dissertação tem como objetivo a compreensão e análise do comportamento estrutural da Ponte sobre o Rio Sorraia, através da realização de ensaios de carga apoiados pela conceção de um modelo numérico devidamente calibrado, capaz de simular a resposta da estrutura, o mais próximo possível do observável na realidade. Para alcançar o objetivo pré definido elencam-se as metodologias relevantes, descrevem-se os tipos de ensaios de carga realizados em pontes/viadutos e faz-se referência aos aparelhos de medição que estão na base da instrumentação aplicada em obras. Esta introdução foca-se ainda na modelação numérica, permitindo o conhecimento básico necessário para a criação e atualização de modelos numéricos de pontes. Relativamente ao caso de estudo expõe-se a realização do ensaio de carga, descrevendo todo o processo, bem como os resultados obtidos ao nível das grandezas de medição estudadas. Aqui é concebido um modelo numérico base da ponte, alvo de discussão ao nível do comportamento estrutural, baseada na validação dos resultados obtidos por via experimental, através da comparação com os obtidos por via numérica. Por fim, o estudo e seleção de diversos parâmetros da modelação, facultando a calibração do modelo numérico da ponte. Os resultados obtidos neste modelo comprovam o seu elevado potencial, no apoio à observação e compreensão do comportamento de estruturas através da realização de ensaios de carga. O sucesso da realização de uma análise do comportamento de estruturas, através de ensaios de carga, depende assim fundamentalmente, da correta execução do ensaio, da correta conceção e atualização do modelo numérico e da interligação entre os resultados experimentais e numéricos.

Gait Selection for Quadruped Legged Robots

This paper studies periodic gaits of quadruped locomotion systems. The purpose is to determine the best set of gait and locomotion variables for different robot velocities based on the system dynamics during walking. In this perspective, several performance measures are formulated and a set of experiments reveals the influence of the gait and locomotion variables upon those proposed indices. The results show that the locomotion parameters (β, LS and HB) should be adapted to the walking velocity in order to optimize the robot performance. Furthermore, for the case of a quadruped robot, we concluded that the gait should be adapted to VF .

Predictive Variables Affecting Transfusion Requirements in Orthotopic Liver Transplantation

INTRODUCTION AND AIMS: Adult orthotopic liver transplantation (OLT) is associated with considerable blood product requirements. The aim of this study was to assess the ability of preoperative information to predict intraoperative red blood cell (RBC) transfusion requirements among adult liver recipients. METHODS: Preoperative variables with previously demonstrated relationships to intraoperative RBC transfusion were identified from the literature: sex, age, pathology, prothrombin time (PT), factor V, hemoglobin (Hb), and platelet count (plt). These variables were then retrospectively collected from 758 consecutive adult patients undergoing OLT from 1997 to 2007. Relationships between these variables and intraoperative blood transfusion requirements were examined by both univariate analysis and multiple linear regression analysis. RESULTS: Univariate analysis confirmed significant associations between RBC transfusion and PT, factor V, Hb, Plt, pathology, and age (P values all < .001). However, stepwise backward multivariate analysis excluded variables Plt and factor V from the multiple regression linear model. The variables included in the final predictive model were PT, Hb, age, and pathology. Patients suffering from liver carcinoma required more blood products than those suffering from other pathologies. Yet, the overall predictive power of the final model was limited (R(2) = .308; adjusted R(2) = .30). CONCLUSION: Preoperative variables have limited predictive power for intraoperative RBC transfusion requirements even when significant statistical associations exist, identifying only a small portion of the observed total transfusion variability. Preoperative PT, Hb, age, and liver pathology seem to be the most significant predictive factors but other factors like severity of liver disease, surgical technique, medical experience in liver transplantation, and other noncontrollable human variables may play important roles to determine the final transfusion requirements.

Financiamento hospitalar em Portugal : incentivos à selecção e equidade

RESUMO - Contexto: O sistema de financiamento do internamento hospitalar público Português é de natureza prospectiva, através de um orçamento global baseado no casemix para os doentes do Serviço Nacional de Saúde (SNS) e de um pagamento por episódio para os doentes dos subsistemas. Em ambos os casos, o financiamento baseia-se principalmente nos Grupos de Diagnóstico Homogéneos (GDH) correspondentes a cada episódio, seja para atribuir um preço por doente saído no caso dos doentes dos subsistemas, seja para calcular o casemix do hospital no caso dos doentes do SNS. Atendendo à heterogeneidade de utilização de recursos intra GDH, resultante das características e necessidades individuais de cada doente, é expectável que o hospital, tendo em vista a garantia da sustentabilidade económica e financeira e/ou a obtenção de mais-valias, procure que o custo de produção fique aquém do preço médio pago, o que pode resultar na selecção de doentes. Por outro lado, ao não ser tida em conta no financiamento, e na ausência de selecção, a heterogeneidade intra GDH pode resultar na injusta recompensa/penalização de uns hospitais em detrimento de outros, tendo em conta as características e necessidades da população que servem e pelas quais não são compensados. Objectivos: O presente estudo propôs-se, por isso, avaliar o impacte que as características inerentes aos doentes têm no consumo de recursos hospitalares, tendo em vista inferir se as mesmas criam incentivos à selecção de doentes ou são fonte de penalizações ou recompensas injustas para os hospitais. Metodologia: Foi utilizada a amostra completa dos doentes internados no ano 2007 por doenças e perturbações do aparelho circulatório (Grande Categoria de Diagnóstico 5) nos 76 hospitais públicos Portugueses (69.905 episódios). Assumiu-se como proxy dos custos a variável tempo de internamento, e avaliou-se, mediante a realização de uma regressão linear multivariada, a relação existente entre a variação no tempo de internamento e as características sexo, idade, severidade, comorbilidades e estatuto económico dos doentes, tendo-se concluído que todas, menos o sexo, têm impacte significativo no tempo de internamento. Uma análise preliminar da distribuição das características identificadas como indutoras de custos pelos hospitais em estudo, conforme o resultado financeiro alcançado por estes fosse positivo ou negativo, sugeriu que as mesmas podem ter impacte nos resultados financeiros alcançados pelos hospitais. Conclusão: Concluiu-se que a actual metodologia de financiamento dos hospitais públicos portugueses possui incentivos à selecção de doentes, visto possibilitar a identificação de doentes que pelas suas características se tornam menos “rentáveis” para os hospitais, o que se pode traduzir numa perda de qualidade assistencial e de acessibilidade para os mesmos e beneficia/penaliza uns hospitais em detrimento de outros, de acordo com as características da população que servem.

Experimental high-throughput adsorption unit for multi-evaluation of adsorbents for gas capture, storage and separation applications

Dissertação para obtenção do grau de Mestre em Engenharia Química e Bioquímica

Positive serology for viral hepatitis and donor self-exclusion in Southern Brazil

Introduction Despite the great advances in serological testing for transfusion-transmitted infections, the selection of blood donors by blood bank operators remains the only way to avoid transmission within the testing window period. Part of this selection is the self-exclusion form, on which the donors can exclude their blood from donation without any explanation. This study assessed the clinical and epidemiological characteristics related to positivity for viral hepatitis and to the use of the confidential self-exclusion (CSE) form. Methods This transversal study analyzed the data collected from blood donors' files in a hospital in Southern Brazil. Univariate and multivariate analyses identified the clinical and epidemiological variables related to positive serologies of viral hepatitis and to whether the donor was self-excluded. Results Of the 3,180 donors included in this study, 0.1% tested positive for HBsAg, 2.1% for anti-HBc, and 0.9% for anti-HCV. When the 93 donors with positive serologies for viral hepatitis were compared with those who were negative, a greater proportion of the positive serology group was found to have had a history of blood transfusions (OR=4.908; 95%CI=1.628 - 14.799; p<0.01), had repeatedly donated (OR=2.147; 95%CI=1.236 - 3.729; p<0.01), and used the CSE form for self-exclusion (OR=7.139; 95%CI=2.045 - 24.923; p<0.01). No variables were independently associated with self-exclusion. Conclusions A history of blood transfusion, repeated donations, and self-exclusion are factors that should be considered during viral hepatitis screenings in blood banks.

Clinical variables associated with leprosy reactions and persistence of physical impairment

Introduction Leprosy is a chronic disease that affects skin and peripheral nerves. Disease complications include reactional episodes and physical impairment. One World Health Organization (WHO) goal of leprosy programs is to decrease the number of grade 2 impairment diagnoses by 2015. This study aims to evaluate clinical factors associated with the occurrence of leprosy reactions and physical impairment in leprosy patients. Methods We conducted a retrospective study of data from medical records of patients followed in two important centers for the treatment of leprosy in Aracaju, Sergipe, Brazil, from 2005 to 2011. We used the chi-square test to analyze associations between the following categorical variables: gender, age, operational classification, clinical forms, leprosy reactions, corticosteroid treatment, and physical impairment at the diagnosis and after cure. Clinical variables associated with multibacillary leprosy and/or reactional episodes and the presence of any grade of physical impairment after cure were evaluated using the logistic regression model. Results We found that men were more affected by multibacillary forms, reactional episodes, and grade 2 physical impairment at diagnosis. Leprosy reactions were detected in a total of 40% of patients and all were treated with corticosteroids. However, physical impairment was observed in 29.8% of the patients analyzed at the end of the treatment and our multivariate analysis associated a low dose and short period of corticosteroid treatment with persistence of physical impairments. Conclusions Physical impairment should receive an increased attention before and after treatment, and adequate treatment should be emphasized.