24 resultados para Emergency obstetric care
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BACKGROUND: An autoimmune disease is characterized by tissue damage, caused by self-reactivity of different effector mechanisms of the immune system, namely antibodies and T cells. All autoimmune diseases, to some extent, have implications for fertility and obstetrics. Currently, due to available treatments and specialised care for pregnant women with autoimmune disease, the prognosis for both mother and child has improved significantly. However these pregnancies are always high risk. The purpose of this study is to analyse the fertility/pregnancy process of women with systemic and organ-specific autoimmune diseases and assess pathological and treatment implications. METHODS: The authors performed an analysis of the clinical records and relevant obstetric history of five patients representing five distinct autoimmune pathological scenarios, selected from Autoimmune Disease Consultation at the Hospital of Braga, and reviewed the literature. RESULTS: The five clinical cases are the following: Case 1-28 years old with systemic lupus erythematosus, and clinical remission of the disease, under medication with hydroxychloroquine, prednisolone and acetylsalicylic acid, with incomplete miscarriage at 7 weeks of gestation without signs of thrombosis. Case 2-44 years old with history of two late miscarriages, a single preterm delivery (33 weeks) and multiple thrombotic events over the years, was diagnosed with antiphospholipid syndrome after acute myocardial infarction. Case 3-31 years old with polymyositis, treated with azathioprine for 3 years with complete remission of the disease, took the informed decision to get pregnant after medical consultation and full weaning from azathioprine, and gave birth to a healthy term new-born. Case 4-38 years old pregnant woman developed Behcet's syndrome during the final 15 weeks of gestation and with disease exacerbation after delivery. Case 5-36 years old with autoimmune thyroiditis diagnosed during her first pregnancy, with difficult control over the thyroid function over the years and first trimester miscarriage, suffered a second miscarriage despite clinical stability and antibody regression. CONCLUSIONS: As described in literature, the authors found a strong association between autoimmune disease and obstetric complications, especially with systemic lupus erythematosus, antiphospholipid syndrome and autoimmune thyroiditis.
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Dissertação de mestrado em Enfermagem da Pessoa em Situação Crítica
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First published online: December 16, 2014.
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Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Informática Médica)
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Supplementary data associated with this article can be found, in the online version, at: http://dx.doi.org/10.1016/j.electacta.2015.09.169.
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This review of the state of art aimed to present the most recent data on neuronal, neurochemical, hormonal and genetic bases of paternal care using MEDLINE and PsycInfo databases (1970-2013). An integrated model of biological substrates that assist men in the transition to fatherhood is presented. Guided by a genetic background, hypothalamic-midbrain-limbic-paralimbic-cortical circuits were found to be activated in fathers when infant stimuli are presented. A set of specifi c neuropeptides and steroid hormones are produced and seem to be related to brain activation, potentiating the paternal phenotype. Together, genetic, brain and hormonal processes suggest the existence of biological bases of paternal care in humans, activated and enhanced by infant stimuli and responsive to variations in the father-infant relationship.
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Com o objectivo de fazer a caracterização da situação social e demográfica e das condições de saúde médica e psicológica das utentes da Consulta Externa de Ginecologia/Obstretícia da Maternidade Júlio Dinis e de seus companheiros, duzentas mulheres e cento e setenta e cinco homens (N=375) foram entrevistados com base num questionário desenhado para o efeito, durante o primeiro trimestre de gestação. Observamos o desfavorecimento social e económico da amostra, particularmente no grupo das mulheres. Constatamos que a situação matrimonial e familiar é estável; no entanto, muitos agregados familiares são recentes, incluem outros familiares e este é um primeiro filho do casal. A rede de apoio social e emocional da amostra é geralmente constituída por familiares, estando mais presente para as mulheres do que para os homens e muitas vezes o companheiro não é referido como confidente, sobretudo pelas mulheres. A gestação não é geralmente de risco; não obstante, a presença frequente de problemas psicológicos uma pior aceitação inicial da gravidez no caso das mulheres. Os hábitos de vida tornam-se mais saudáveis com a gestação; no entanto, é ainda elevado o consumo de substâncias, como o tabaco, pela grávida. Problemas ginecológicos e obstétricos foram referidos, assim como a presença de adversidades na história psicológica e desenvolvimental dos participantes. Concluímos que as utentes da Consulta Externa de Ginecologia/Obstetrícia da Maternidade Júlio Dinis e seus companheiros apresentam indicadores relevantes de risco médico, psicológico e social que devem ser considerados na prestação de melhores cuidados de saúde.
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This research work explores a new way of presenting and representing information about patients in critical care, which is the use of a timeline to display information. This is accomplished with the development of an interactive Pervasive Patient Timeline able to give to the intensivists an access in real-time to an environment containing patients clinical information from the moment in which the patients are admitted in the Intensive Care Unit (ICU) until their discharge This solution allows the intensivists to analyse data regarding vital signs, medication, exams, data mining predictions, among others. Due to the pervasive features, intensivists can have access to the timeline anywhere and anytime, allowing them to make decisions when they need to be made. This platform is patient-centred and is prepared to support the decision process allowing the intensivists to provide better care to patients due the inclusion of clinical forecasts.
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The decision support models in intensive care units are developed to support medical staff in their decision making process. However, the optimization of these models is particularly difficult to apply due to dynamic, complex and multidisciplinary nature. Thus, there is a constant research and development of new algorithms capable of extracting knowledge from large volumes of data, in order to obtain better predictive results than the current algorithms. To test the optimization techniques a case study with real data provided by INTCare project was explored. This data is concerning to extubation cases. In this dataset, several models like Evolutionary Fuzzy Rule Learning, Lazy Learning, Decision Trees and many others were analysed in order to detect early extubation. The hydrids Decision Trees Genetic Algorithm, Supervised Classifier System and KNNAdaptive obtained the most accurate rate 93.2%, 93.1%, 92.97% respectively, thus showing their feasibility to work in a real environment.