21 resultados para Antibiotic consumption


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RESUMO - Introdução: As Infeções nosocomiais da corrente sanguínea associada a cateter venoso central (INCS-CVC) provocam um aumento das despesas hospitalares, traduzindo num aumento dos dias de internamento, consumo de antibióticos e de meios complementares de diagnóstico e terapêutica (MCDT). O presente estudo pretende avaliar os custos das INCS-CVC nos serviços de internamento do CHLO, no ano de 2012. Metodologia: Realizou-se um estudo retrospetivo de caso-controlo para determinar os custos adicionais inerentes às INCS-CVC. Foram identificados, em 2012, 32 doentes com infeção e 31 sem infeção. Os controlos foram extraídos da população tendo igual grupo diagnóstico Homogéneo (GDH), idade, sexo, serviço e duração de internamento e presença de CVC. As principais fontes de informação foram os registos da Comissão Controlo de Infeção (CCI) e do processo clinico eletrónico (PCE). A estimativa dos custos teve em consideração a duração de internamento, consumo de antibióticos e de MCDT. Resultados: A idade média dos casos e controlos foi de 66 e 69, respetivamente (p=0,432), 50% dos casos e 51,6% dos controlos eram do sexo masculino. Um total de 22 casos foi comparado com 22 controlos. A duração média de internamento dos casos e controlos foi de 70,8 e 36,6 dias, respetivamente (p=0,000). Em média o custo adicional por doente com antibióticos foi de 256€ (p=0,001). Nos casos o consumo de análises clinica foi 2,5 vezes superior e de exames imagiológicos 2 vezes superior aos controlos. O custo total médio adicional por doente foi de 20.737,6€. Conclusão: A ocorrência de INCS-CVC resultou num aumento significativo de utilização de recursos hospitalares e consequentemente num aumento dos custos hospitalares.

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The enzyme hydrogenase isolated from the sulphate reducing anaerobic bacterium Desulfovibrio gigas was encapsulated in reverse micelles of AOT–water–isooctane. The enzyme ability to consume molecular hydrogen was studied as a function of the micelle size (given by Wo = [H2O]/[organic solvent]). A peak of catalytic activity was obtained for Wo = 18, a micelle size theoretically fitting the heterodimeric hydrogenase molecule. At this Wo value, the recorded catalytic activity was slightly higher than in a buffer system(Kcat = 169.43 s−1 against the buffer value of 151 s−1). The optimal buffer used to encapsulate the enzyme was found to be imidazole 50 mM, pH 9.0. The molecular hydrogen production activity was also tested in this reverse micelle medium.

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Dissertation presented to obtain a Ph.D. degree in Biochemistry by Instituto de Tecnologia Química e Biológica Universidade Nova de Lisboa.

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Background: Little is known about the risk of progression to hazardous alcohol use in people currently drinking at safe limits. We aimed to develop a prediction model (predictAL) for the development of hazardous drinking in safe drinkers. Methods: A prospective cohort study of adult general practice attendees in six European countries and Chile followed up over 6 months. We recruited 10,045 attendees between April 2003 to February 2005. 6193 European and 2462 Chilean attendees recorded AUDIT scores below 8 in men and 5 in women at recruitment and were used in modelling risk. 38 risk factors were measured to construct a risk model for the development of hazardous drinking using stepwise logistic regression. The model was corrected for over fitting and tested in an external population. The main outcome was hazardous drinking defined by an AUDIT score >= 8 in men and >= 5 in women. Results: 69.0% of attendees were recruited, of whom 89.5% participated again after six months. The risk factors in the final predictAL model were sex, age, country, baseline AUDIT score, panic syndrome and lifetime alcohol problem. The predictAL model's average c-index across all six European countries was 0.839 (95% CI 0.805, 0.873). The Hedge's g effect size for the difference in log odds of predicted probability between safe drinkers in Europe who subsequently developed hazardous alcohol use and those who did not was 1.38 (95% CI 1.25, 1.51). External validation of the algorithm in Chilean safe drinkers resulted in a c-index of 0.781 (95% CI 0.717, 0.846) and Hedge's g of 0.68 (95% CI 0.57, 0.78). Conclusions: The predictAL risk model for development of hazardous consumption in safe drinkers compares favourably with risk algorithms for disorders in other medical settings and can be a useful first step in prevention of alcohol misuse.

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

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Dissertação para obtenção do Grau de Mestre em Genética Molecular e Biomedicina

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

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Nowadays, reducing energy consumption is one of the highest priorities and biggest challenges faced worldwide and in particular in the industrial sector. Given the increasing trend of consumption and the current economical crisis, identifying cost reductions on the most energy-intensive sectors has become one of the main concerns among companies and researchers. Particularly in industrial environments, energy consumption is affected by several factors, namely production factors(e.g. equipments), human (e.g. operators experience), environmental (e.g. temperature), among others, which influence the way of how energy is used across the plant. Therefore, several approaches for identifying consumption causes have been suggested and discussed. However, the existing methods only provide guidelines for energy consumption and have shown difficulties in explaining certain energy consumption patterns due to the lack of structure to incorporate context influence, hence are not able to track down the causes of consumption to a process level, where optimization measures can actually take place. This dissertation proposes a new approach to tackle this issue, by on-line estimation of context-based energy consumption models, which are able to map operating context to consumption patterns. Context identification is performed by regression tree algorithms. Energy consumption estimation is achieved by means of a multi-model architecture using multiple RLS algorithms, locally estimated for each operating context. Lastly, the proposed approach is applied to a real cement plant grinding circuit. Experimental results prove the viability of the overall system, regarding both automatic context identification and energy consumption estimation.

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O campo dos media na Finlândia encontra-se num processo de mudanças aparentemente imparáveis, com os dispositivos móveis, tal como os smartphones e tablets, a influenciarem cada vez mais os padrões de produção e consumo de media. Nesta dissertação é defendido que esta situação é influenciada por factores históricos, sociais e culturais: desde os livros e jornais como meio de manter a língua finlandesa até aos benefícios da Segurança Social que permitiram que até as pessoas com menos rendimentos comprassem o jornal para se manterem a par dos desenvolvimentos do país, bem como a grande tradição de leitura que é associada aos finlandeses, assim como as condições que ao longo da história fazem fizeram com que os finlandeses sejam fascinados pelas novas tecnologias. Adicionalmente, presto especial atenção às estratégias que são adoptadas pelas cada vez mais convergentes companhias de media para enfrentarem a competição de elementos como os social media.