Protocolo de fisioterapia, com auxílio de biofeedback electromiográfico, em utentes com disfunções do ombro: efeitos na dor, funcionalidade e estabilidade dinâmica

RESUMO: Introdução: A dor e disfunções do movimento no complexo articular do ombro (CAO) são comuns e debilitantes. O uso de exercícios segundo os pressupostos de estabilidade dinâmica (ED), com auxílio de Biofeedback electromiográfico (BEMG) tem vindo a ser referido, como uma forma de aumentar a efectividade da intervenção nas disfunções do complexo articular do ombro (DCAO)Objectivo Principal: Estudar os efeitos de um protocolo de intervenção, com BEMG, cujas finalidades foram abolir a dor, aumentar a funcionalidade e a ED da omoplata, em utentes com DCAO. Objectivos secundários: Comparar os subgrupos e quanto às características, resultados, tempos de intervenção total e até atingir critérios de alta; Comparar os resultados nos momentos inicial e final. Métodos: Foi realizado um coorte clínico, longitudinal, retrospectivo, observacional, analítico. A amostra foi constituída por 82 sujeitos, divididos em dois subgrupos (n=53 SCSA e n=29 IGU). Os instrumentos de medida utilizados foram a EVA, o DASH, o SPADI e o BEMG. Foi seguido o protocolo de ED proposto por Santos e Matias (2007), de acordo com as 3 fases de intervenção por eles descritas, realizando uma sessão semanal, monitorizando exercícios que seguem estes princípios, com BEMG. Foram avaliadas as variáveis dor, postura, padrão de recrutamento, controlo motor, posição inicial da omoplata (PIO), amplitudes articulares (AA’s), força muscular (FM) e postura. Para analisar os dados, recorreu-se a estatística descritiva e inferencial. Resultados: A intervenção foi efectiva na abolição da dor no momento (0,43 para 0,00/10EVA no subgrupo SCSA e 0,66 para 0,00/10EVA no subgrupo IGU) na pior dor (5,47/10EVA para 0,06/10EVA no subgrupo SCSA e 5,28/10 para 0,14/10 no subgrupo IGU), no aumento da função (28,57 para 0,66/100DASH e 39,00 para 0,63/100SAPDI no subgrupo SCSA e 25,80 para 0,38/100DASH e 28,19 para 0,39/100 no subgrupo IGU) e no aumento da ED da omoplata com normalização do padrão de recrutamento, controlo motor, PIO dentro do espectro de normalidade e boa capacidade de controlar a sua posição, ao longo do movimento do membro superior (MS). A intervenção proporcionou, ainda a normalização das AA’s, FM e autocorrecção postural. O tempo médio de intervenção foi de 6,45semanas no subgrupo SCSA e 5,83sem no subgrupo IGU. Estes resultados são semelhantes comparativamente a estudos que utilizaram uma intervenção baseada nos mesmos princípios (Matias e Cruz, 2004; Cunha e Matias, 2006; Santos e Matias, 2007; Rodrigues e Matias, 2009). Conclusão: O protocolo de intervenção aplicado, com uso de exercícios baseados nos princípios da ED e uso de BEMG, permitiu o alcance dos objectivos, junto de utentes com DCAO (SCSA e IGU). Verificou-se que, independentemente da condição, os resultados foram idênticos em ambos subgrupos, não apresentando diferenças significativas entre as variáveis de medida final, o tempo total de intervenção e os tempos até atingir os critérios de alta, expecto para a Dor, sendo este superior no subgrupo SCSA.---------------------------------------- ABSTRACT:Introduction: Movement disorders and pain in the shoulder joint complex (SJC) are common and debilitating. The use of exercises under the premises of dynamic stability (DS), with the aid of electromyographic biofeedback (EMGBF) has been mentioned as a way to increase the effectiveness of the intervention in disorders of the shoulder joint complex (DSJC) Main Objective: To evaluate the results of an intervention protocol, with EMGBF whose aims were to abolish the pain, increase functionality and DS of the scapula in patients with DSJC. Objectives: To compare the subgroups and the characteristics, outcomes, and total intervention times to reach discharge criteria; to compare the results at the beginning and at the end. Methods: We conducted a clinical cohort, longitudinal, retrospective, observational analysis. The sample consisted of 82 subjects, divided into two subgroups (n = 53 shoulder impingement syndrome SIS n = 29 shoulder joint instability SJI). The measurement instruments used were the VAS, DASH, SPADI, and EMGBF. It was followed the DS protocol proposed by Santos and Matias (2007), according to the three phases of intervention, described by performing a weekly session, monitoring exercises that follow these principles, with EMGBF. The variables were pain, posture, recruitment pattern, motor control, the initial position of the scapula (IPS), range of motion (ROM), muscular strength (MS) and posture. To analyze the data, we used the descriptive and inferential statistics. Results: The intervention was effective in abolishing the pain at the time (0.43 to 0.00/10 VAS in the SIS subgroup and 0.66 to 0.00/10 VAS in the SJI subgroup) in worst pain (5.47 to 0,06/10 VAS in the SIS subgroup and 5.28/ to 0.14/10 VAS in the SJI subgroup), increasing the function (28,57 to 0,66/100 DASH and 39,00 to 0,63/100 SAPDI in the SIS subgroup and 25,80 to 0,38/100 DASH and 28,19 to 0,39/100 SPADI in the SJI subgroup) and the increase in DS of the scapula with normalization of the pattern recruitment, motor control, IPS within the spectrum of normalcy and good ability to control its position along the movement of the upper limb (UL). The intervention provided, although the normalization of ROM, MS and self-correcting posture. The average length of intervention was 6.45 weeks in the SIS subgroup and 5.83 in the IS subgroup. These results are comparable with similar studies that used an intervention based on the same principles (Matias e Cruz, 2004; Cunha e Matias, 2006; Santos e Matias, 2007; Rodrigues e Matias, 2009). Conclusion: The intervention protocol implemented with the use of exercises based on the principles of DS and the use of EMGBF was effective, allowing the accomplishment of goals, in patients with DSJC (SIS and SJI). It was found that, regardless of condition, the results were identical in both groups, showing no significant differences between the variables of the final measure, the total time of intervention and the times to reach discharge criteria, except for pain, which was higher in the SIS subgroup.

Indicadores de prognóstico em utentes com disfunção do ombro submetidos a uma intervenção terapêutica direcionada para a estabilidade dinâmica da escápulo-torácica

RESUMO: Introdução/ Objetivo: Segundo a revisão sistemática de Chester e colaboradores (2013b)apenas dois fatores de prognóstico demonstraram uma associação consistente com o resultado que foram a duração dos sintomas e a funcionalidade na avaliação inicial. O objetivo do estudo é identificar indicadores de bom e mau prognóstico em utentes com disfunção do complexo articular do ombro (DCAO), tendo por base, aspetos da avaliação inicial do utente e critérios de alta de abolição da dor, aumento da funcionalidade e da estabilidade dinâmica considerando uma intervenção terapêutica direcionada para o aumento da estabilidade dinâmica da escápulo-torácica. Metodologia: Efetuou-se um estudo de coorte clínico retrospetivo. Para tal, aplicou-se um protocolo de intervenção terapêutica e analisou-se os resultados. A amostra foi constituída por 82 indivíduos com DCAO [53 com síndrome do conflito subacromial (SCSA) e 29 com instabilidade da glenoumeral (IGU)], residentes nos distritos de Lisboa, Setúbal e Santarém com o intuito de iniciar tratamento de fisioterapia. A análise dos dados foi efetuada tendo em consideração dois procedimentos: análise univariada (através do método de Kaplan-Meier para cada CVP) e análise multifatorial (pela análise de regressão de Cox e regressão logística nos grupos de utentes com SCSA, IGU e DCAO). Resultados: O tempo mediano de continuação no tratamento em fisioterapia foi de 7 semanas para os utentes com SCSA e 6 semanas para utentes com IGU. Segundo o teste de Logrank, na análise univariada, existem sete e oito covariáveis preditoras (CVP) com associação estatisticamente significativa (p<0,05) para o subgrupo SCSA e IGU, respectivamente. De acordo com estes resultados, a primeira parte da DASH e a SPADI são as únicas CVP com associação comuns às duas disfunções. Pela análise multifatorial e, em congruência com o teste de Wald, nenhuma das CVP contribui estatisticamente para o modelo preditivo de continuidade do tratamento de fisioterapia em qualquer um dos três modelos estudados: subgrupo SCSA, subgrupo IGU e utentes com DCAO. Conclusão: Por uma análise univariada verificou-se que existem CVP associadas à alta dos tratamentos em fisioterapia e estas não são as mesmas em ambas as DCAO. Contudo, a magnitude do efeito de cada CVP nos modelos multifatoriais definidos para os grupos de utentes com SCSA, IGU e DCAO não demonstraram valor estatisticamente significativo pelo que não foi possível determinar modelos de prognóstico em utentes com DCAO.-------------ABSTRACT: Background/ Purpose: According with the systematic review from Chester and collaborators (2013b) just two prognostic factors demonstrated a consistent association with the outcome: the duration of symptoms and functionality in the initial assessment. The purpose of the study is to identify indicators of good and poor prognosis in patients with shoulder’s dysfunctions, based on aspects of the initial assessment and discharge criteria of absence of pain, increased functionality and dynamic stability considering a therapeutic intervention used to increase the dynamic stability of scapulo-thoracic. Methodology: It was conducted a retrospective study of clinical cohort. For this purpose it was applied a protocol with therapeutic intervention and the results were analyzed. The sample consisted of 82 individuals with shoulder’s dysfunction (53 with subacromial impingement (SIMP) and 29 with shoulder instability (SINS) residing in the districts of Lisbon, Setúbal and Santarém in order to start physiotherapy. Data analysis was performed taking into account two procedures: univariate analysis [using the Kaplan-Meier method for each co-variant predictor variable (CVP)] and multifactorial analysis [analysis by Cox regression and logistic regression on groups of patients with SIMP, SINS and shoulder’s dysfunction (SD)]. Results: The median time of follow-up treatment at physical therapy was 7 weeks for patients with SIMP and 6 weeks for patients with SINS. According to the Logrank test in the univariate analysis, there are seven and eight CVP with a statistically significant association (p<0.05) for the patients with SIMP and SINS, respectively. According to these results, the first part of the DASH and SPADI are the only CVP common to both disorders association. By multifatorial analyses, and in agreement with the Wald test, none of the CVP contributes statistically to the predictive model of continuity of physiotherapy treatment in any of the three studied models: patients with SIMP, patients with SINS and patients with SD. Conclusion: In an univariate analysis, it was verified that there are CVP associated with discharge from treatments of physical therapy and these are not the same in both SD. However, the magnitude of effect of each CVP in multifactorial models for defined patients groups with SIMP, SINS and SD showed no statistically significant. Therefore, it was not possible to determine prognostic models for patients with SD.

Structural stability of adenylate kinase from the sulfate-reducing bacteria Desulfovibrio gigas

Biophysical Chemistry 110 (2004) 83–92

Automatic learning for the classification of chemical reactions and in statistical thermodynamics

This Thesis describes the application of automatic learning methods for a) the classification of organic and metabolic reactions, and b) the mapping of Potential Energy Surfaces(PES). The classification of reactions was approached with two distinct methodologies: a representation of chemical reactions based on NMR data, and a representation of chemical reactions from the reaction equation based on the physico-chemical and topological features of chemical bonds. NMR-based classification of photochemical and enzymatic reactions. Photochemical and metabolic reactions were classified by Kohonen Self-Organizing Maps (Kohonen SOMs) and Random Forests (RFs) taking as input the difference between the 1H NMR spectra of the products and the reactants. The development of such a representation can be applied in automatic analysis of changes in the 1H NMR spectrum of a mixture and their interpretation in terms of the chemical reactions taking place. Examples of possible applications are the monitoring of reaction processes, evaluation of the stability of chemicals, or even the interpretation of metabonomic data. A Kohonen SOM trained with a data set of metabolic reactions catalysed by transferases was able to correctly classify 75% of an independent test set in terms of the EC number subclass. Random Forests improved the correct predictions to 79%. With photochemical reactions classified into 7 groups, an independent test set was classified with 86-93% accuracy. The data set of photochemical reactions was also used to simulate mixtures with two reactions occurring simultaneously. Kohonen SOMs and Feed-Forward Neural Networks (FFNNs) were trained to classify the reactions occurring in a mixture based on the 1H NMR spectra of the products and reactants. Kohonen SOMs allowed the correct assignment of 53-63% of the mixtures (in a test set). Counter-Propagation Neural Networks (CPNNs) gave origin to similar results. The use of supervised learning techniques allowed an improvement in the results. They were improved to 77% of correct assignments when an ensemble of ten FFNNs were used and to 80% when Random Forests were used. This study was performed with NMR data simulated from the molecular structure by the SPINUS program. In the design of one test set, simulated data was combined with experimental data. The results support the proposal of linking databases of chemical reactions to experimental or simulated NMR data for automatic classification of reactions and mixtures of reactions. Genome-scale classification of enzymatic reactions from their reaction equation. The MOLMAP descriptor relies on a Kohonen SOM that defines types of bonds on the basis of their physico-chemical and topological properties. The MOLMAP descriptor of a molecule represents the types of bonds available in that molecule. The MOLMAP descriptor of a reaction is defined as the difference between the MOLMAPs of the products and the reactants, and numerically encodes the pattern of bonds that are broken, changed, and made during a chemical reaction. The automatic perception of chemical similarities between metabolic reactions is required for a variety of applications ranging from the computer validation of classification systems, genome-scale reconstruction (or comparison) of metabolic pathways, to the classification of enzymatic mechanisms. Catalytic functions of proteins are generally described by the EC numbers that are simultaneously employed as identifiers of reactions, enzymes, and enzyme genes, thus linking metabolic and genomic information. Different methods should be available to automatically compare metabolic reactions and for the automatic assignment of EC numbers to reactions still not officially classified. In this study, the genome-scale data set of enzymatic reactions available in the KEGG database was encoded by the MOLMAP descriptors, and was submitted to Kohonen SOMs to compare the resulting map with the official EC number classification, to explore the possibility of predicting EC numbers from the reaction equation, and to assess the internal consistency of the EC classification at the class level. A general agreement with the EC classification was observed, i.e. a relationship between the similarity of MOLMAPs and the similarity of EC numbers. At the same time, MOLMAPs were able to discriminate between EC sub-subclasses. EC numbers could be assigned at the class, subclass, and sub-subclass levels with accuracies up to 92%, 80%, and 70% for independent test sets. The correspondence between chemical similarity of metabolic reactions and their MOLMAP descriptors was applied to the identification of a number of reactions mapped into the same neuron but belonging to different EC classes, which demonstrated the ability of the MOLMAP/SOM approach to verify the internal consistency of classifications in databases of metabolic reactions. RFs were also used to assign the four levels of the EC hierarchy from the reaction equation. EC numbers were correctly assigned in 95%, 90%, 85% and 86% of the cases (for independent test sets) at the class, subclass, sub-subclass and full EC number level,respectively. Experiments for the classification of reactions from the main reactants and products were performed with RFs - EC numbers were assigned at the class, subclass and sub-subclass level with accuracies of 78%, 74% and 63%, respectively. In the course of the experiments with metabolic reactions we suggested that the MOLMAP / SOM concept could be extended to the representation of other levels of metabolic information such as metabolic pathways. Following the MOLMAP idea, the pattern of neurons activated by the reactions of a metabolic pathway is a representation of the reactions involved in that pathway - a descriptor of the metabolic pathway. This reasoning enabled the comparison of different pathways, the automatic classification of pathways, and a classification of organisms based on their biochemical machinery. The three levels of classification (from bonds to metabolic pathways) allowed to map and perceive chemical similarities between metabolic pathways even for pathways of different types of metabolism and pathways that do not share similarities in terms of EC numbers. Mapping of PES by neural networks (NNs). In a first series of experiments, ensembles of Feed-Forward NNs (EnsFFNNs) and Associative Neural Networks (ASNNs) were trained to reproduce PES represented by the Lennard-Jones (LJ) analytical potential function. The accuracy of the method was assessed by comparing the results of molecular dynamics simulations (thermal, structural, and dynamic properties) obtained from the NNs-PES and from the LJ function. The results indicated that for LJ-type potentials, NNs can be trained to generate accurate PES to be used in molecular simulations. EnsFFNNs and ASNNs gave better results than single FFNNs. A remarkable ability of the NNs models to interpolate between distant curves and accurately reproduce potentials to be used in molecular simulations is shown. The purpose of the first study was to systematically analyse the accuracy of different NNs. Our main motivation, however, is reflected in the next study: the mapping of multidimensional PES by NNs to simulate, by Molecular Dynamics or Monte Carlo, the adsorption and self-assembly of solvated organic molecules on noble-metal electrodes. Indeed, for such complex and heterogeneous systems the development of suitable analytical functions that fit quantum mechanical interaction energies is a non-trivial or even impossible task. The data consisted of energy values, from Density Functional Theory (DFT) calculations, at different distances, for several molecular orientations and three electrode adsorption sites. The results indicate that NNs require a data set large enough to cover well the diversity of possible interaction sites, distances, and orientations. NNs trained with such data sets can perform equally well or even better than analytical functions. Therefore, they can be used in molecular simulations, particularly for the ethanol/Au (111) interface which is the case studied in the present Thesis. Once properly trained, the networks are able to produce, as output, any required number of energy points for accurate interpolations.

Production of recombinant protein hLIF in static and dynamic systems of animal cell culture

Thesis for the Degree of Master of Science in Biotechnology Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

Multi-bit sigma-delta modulators with enhanced dynamic-range using non-linear DAC for hearing aids

15th IEEE International Conference on Electronics, Circuits and Systems, Malta

An implementation of dynamic fully compressed suffix trees

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Informática

Simple and stable dynamic traffic engineering for provider scale ethernet

Trabalho apresentado no âmbito do Mestrado em Engenharia Informática, como requisito parcial para obtenção do grau de Mestre em Engenharia Informática

Gammaretroviral and lentiviral vectors for gene therapy: stability and inactivation mechanisms

Dissertation presented to obtain a Ph.D degree in Engineering and Technology Sciences, Gene Therapy at the Instituto de Tecnologia Quimica e Biológica, Universidade Nova de Lisboa

A lightweight distributed super peer election algorithm for unstructured dynamic P2P systems

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores

A middleware for service oriented computing in dynamic environments

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do Grau de Mestre em Engenharia Informática

A proteomic approach toward the selection of proteins with enhanced intrinsic conformational stability

Journal of Proteome Research (2006)5: 2720-2726

Metal ions modulate the folding and stability of the tumor suppressor protein S100A2

Febs Journal (2009)276:1776-1786

Static laws in dynamic environments (bridging science to legislation)

Proceedings of the First International Conference on Coastal Conservation and Management in the Atlantic and Mediterranean, p. 193-200

Dynamic and interaction of cytochrome c with Pf1 virus

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em BioOrgânica