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Os ativos intangíveis são cada vez mais uma preocupação das organizações, e atualmente são reconhecidos como os principais ativos das empresas. O Capital Humano como dimensão do Capital Intelectual é um fator preponderante no desenvolvimento e crescimento das organizações, uma vez que proporciona criação de valor e vantagem competitiva para as empresas. A criação, a partilha e a transferência de Conhecimento são, também, fatores influentes que geram Capital Humano. Na atualidade, este tema tem despertado o interesse tanto de economistas, gestores e contabilistas, como de meros investidores. O Capital Intelectual é tradicionalmente concetualizado como sendo composto por três grandes dimensões: Capital Humano, Capital Relacional e Capital Estrutural. Por sua vez, daquilo que é o nosso conhecimento, consideramos que existe uma lacuna na literatura sobre Capital Humano no que diz respeito à sua taxonomia. Efetivamente grande parte das investigações sobre Capital Humano, como dimensão do Capital Intelectual, focam-se essencialmente nos itens necessários para a sua mensuração do CH. Desta forma, o objetivo principal deste estudo consiste em explorar a dimensão do CH ao nível das suas componentes. Ou seja, procuramos encontrar as componentes do Capital Humano e propomo-nos a determinar quais as que têm maior importância no CH para o desenvolvimento e crescimento das organizações. Para esta realização efetuámos um estudo de carácter exploratório, num contexto específico do mercado português – o Setor Segurador. Os resultados obtidos tanto a nível qualitativo como quantitativo vão de encontro às questões de investigação previamente definidas. Portanto, as componentes mais importantes do CH são: a formação e o bem-estar, o conhecimento e o profissionalismo e as características pessoais e técnicas dos colaboradores que constituem os Recursos Humanos da organização. Estas são aquelas que mais valorizam e proporcionam crescimento nas organizações. Este estudo poderia ser tão mais completo, se pudéssemos apresentar uma comparação entre duas empresas seguradoras e, consequentemente analisar o comportamento das duas face ao Capital Humano. Outro aspeto interessante seria efetuar uma análise sobre qual o impacto do Capital Humano na performance financeira das organizações seguradoras. Estas são limitações que podem ser vistas como sugestões para estudos de investigação futuros nesta mesma área. Este estudo contribui para o enriquecimento das investigações na área do Capital Humano, uma vez que conhecendo melhor as componentes que constituem o CH mais facilmente as organizações definem as suas estratégicas de crescimento e desenvolvimento. Desta forma, este estudo pode apoiar alguns gestores na definição de políticas de valorização deste ativo intangível em organizações do mercado segurador.
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Dissertação para obtenção do Grau de Doutor em Matemática
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We examined the longitudinal changes of VEGF levels after percutaneous coronary intervention for predicting major adverse cardiac events (MACE) in coronary artery disease (CAD) patients. VEGF was measured in 94 CAD patients' serum before revascularization, 1-month and 1-year after. Independently of clinical presentation, patients had lower VEGF concentration than a cohort of healthy subjects (median, IQ: 15.9, 9.0-264 pg/mL versus 419, 212-758 pg/mL; P < 0.001) at baseline. VEGF increased to 1-month (median, IQ: 276, 167-498 pg/mL; P < 0.001) and remained steady to 1-year (median, IQ: 320, 173-497 pg/mL; P < 0.001) approaching control levels. Drug eluting stent apposition and previous medication intake produced a less steep VEGF evolution after intervention (P < 0.05). Baseline VEGF concentration <40.8 pg/mL conveyed increased risk for MACE in a 5-year follow-up. Results reflect a positive role of VEGF in recovery and support its importance in CAD prognosis.
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INTRODUCTION: Insulin resistance is the pathophysiological key to explain metabolic syndrome. Although clearly useful, the Homeostasis Model Assessment index (an insulin resistance measurement) hasn't been systematically applied in clinical practice. One of the main reasons is the discrepancy in cut-off values reported in different populations. We sought to evaluate in a Portuguese population the ideal cut-off for Homeostasis Model Assessment index and assess its relationship with metabolic syndrome. MATERIAL AND METHODS: We selected a cohort of individuals admitted electively in a Cardiology ward with a BMI < 25 Kg/m2 and no abnormalities in glucose metabolism (fasting plasma glucose < 100 mg/dL and no diabetes). The 90th percentile of the Homeostasis Model Assessment index distribution was used to obtain the ideal cut-off for insulin resistance. We also selected a validation cohort of 300 individuals (no exclusion criteria applied). RESULTS: From 7 000 individuals, and after the exclusion criteria, there were left 1 784 individuals. The 90th percentile for Homeostasis Model Assessment index was 2.33. In the validation cohort, applying that cut-off, we have 49.3% of individuals with insulin resistance. However, only 69.9% of the metabolic syndrome patients had insulin resistance according to that cut-off. By ROC curve analysis, the ideal cut-off for metabolic syndrome is 2.41. Homeostasis Model Assessment index correlated with BMI (r = 0.371, p < 0.001) and is an independent predictor of the presence of metabolic syndrome (OR 19.4, 95% CI 6.6 - 57.2, p < 0.001). DISCUSSION: Our study showed that in a Portuguese population of patients admitted electively in a Cardiology ward, 2.33 is the Homeostasis Model Assessment index cut-off for insulin resistance and 2.41 for metabolic syndrome. CONCLUSION: Homeostasis Model Assessment index is directly correlated with BMI and is an independent predictor of metabolic syndrome.
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Background: Economic evaluations help health authorities facing budget constraints. This study compares the health-related quality of life (HRQOL) and costs in patient subgroups on haemodialysis (HD) and renal transplantation (KT). Methods: In a prospective study with follow-up of 1-3 years, we performed a costutility analysis of KT vs. HD, adopting a lifetime horizon. A societal perspective was taken. Costs for organ procurement, KT eligibility, transplant surgery and follow-up of living donors were included. Key clinical events were recorded. HRQOL was assessed using the EuroQol instrument. Results: The HRQOL remained stable on HD patients. After KT, mean utility score improved at 3 months while mean EQ-VAS scores showed a sustained improvement. Mean annual cost for HD was 32,567.57€. Mean annual costs for KT in the year-1 and in subsequent years were, 60,210.09€ and 12,956.77€ respectively. Cost for initial hospitalization averaged 18,740.74€. HLA-mismatches increased costs by 75% for initial hospitalization (p < 0.001) and 41% in the year-1 (p < 0.05), and duplicate the risk of readmission in the year-1 (p < 0.05). The incremental costutility ratio was 5,534.46€/QALY, increasing 35% when costs for organ procurement were added. KT costs were 41,541.63€ more but provided additional 7.51 QALY. Conclusions: The KT is cost-effective compared with HD. Public funding should reflect the value created by the intervention and adapt to the organ demand.
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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação
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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 Finance 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 Finance 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 Finance 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 Finance 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 Finance 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 Economics from the NOVA – School of Business and Economics