171 resultados para pregnancy counselling


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Pregnancy is often referred to as a hypercoaguable state due to changes in the haemostatic system. Tissue factor (TF) is the initiator of blood clotting in vivo. The effect of pregnancy on monocyte TF expression was determined in a longitudinal case control study, (89 pregnant, 39 non-pregnant). Using whole blood flow cytometry and CD14 as a monocyte marker, TF expression was measured on all CD14 positive, CD14Bright and CD14Dim cells. TF expression was significantly lower in pregnant women than in non-pregnant control subjects, on all CD14 positive cells at 20 and 35 weeks, on CD14Bright cells at 12 and 35 weeks and on CD14Dim cells at 20 weeks. Additionally, we report that a higher percentage of CD14Dim than CD14Bright cells express TF. These results suggest that, in order to maintain homeostasis in haemostasis in an otherwise hypercoaguable state, monocyte TF expression is reduced during normal pregnancy.

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One goal of pregnancy is the development of maternal emotional attachment to
the unborn baby, and this attachment has been shown to be related to later
relationships and development. There are many factors which may hinder the
development of prenatal attachment, including the presence of complications,
hospitalisation, and anxiety. However, women’s appraisals of risk may not be
congruent with medical assessments of risk. The current study sought to model
the relationships between risk (maternal perceptions and medical ratings), coping, psychological well-being, and maternal–foetal attachment among 87 women hospitalised for pregnancy-related complications. Analysis indicated that positive appraisal as a coping strategy mediates the relationship between maternal appraisals of risk and maternal–foetal attachment, and that medical ratings of risk were not predictive of maternal–foetal attachment. Awareness of the potential incongruence between patients’ and health professionals’ perceptions of risk is important within the clinical environment. The potential benefits of promoting positive appraisal in high-risk pregnancy merit further research.

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This paper is concerned with handling uncertainty as part of the analysis of data from a medical study. The study is investigating connections between the birth weight of babies and the dietary intake of their mothers. Bayesian belief networks were used in the analysis. Their perceived benefits include (i) an ability to represent the evidence emerging from the evolving study, dealing effectively with the inherent uncertainty involved; (ii) providing a way of representing evidence graphically to facilitate analysis and communication with clinicians; (iii) helping in the exploration of the data to reveal undiscovered knowledge; and (iv) providing a means of developing an expert system application.