État de stress post-traumatique chez les mères et chez les pères d'enfants prématurés: similitudes et différences = Prematurity and parental post-traumatic stress disorder: similarities and differences

Objectifs Évaluer et comparer la présence de symptômes de stress post-traumatique, en fonction de la gravité de la prématurité, chez les mères et chez les pères de bébés nés prématurément. Méthode En fonction du score de risque périnatal (PERI) du bébé, les parents des prématurés (âge gestationnel moins de 34 semaines) ont été divisés en deux groupes : les parents de prématurés à faible risque (n = 16) et à haut risque (n = 26). Les symptômes d'intrusion et d'évitement, de l'état de stress post-traumatique, ont été évalués chez les parents à l'aide d'un questionnaire, l'Impact of Event Scale (IES). Leurs réponses ont été comparées à un groupe témoin de parents de nouveau-nés à terme (n = 24). Les différences entre les réponses des mères et des pères, ont été analysées. Résultats Les parents de bébés prématurés sont plus à risque que les parents de nouveau-nés à terme de présenter des symptômes de stress post-traumatique. Les mères en lien avec le fait même de la prématurité du bébé, les pères en lien avec la gravité de la prématurité. Les mères et les pères des prématurés des deux groupes (prématurés à faible risque, prématurés à haut risque) décrivent des symptômes d'intrusion, alors que les symptômes d'évitement sont décrits par toutes les mères, mais seulement par les pères de prématurés à haut risque périnatal. Conclusion La naissance prématurée est susceptible d'entraîner l'apparition de symptômes de stress post-traumatique chez les parents. Les mères et les pères réagissent différemment. Objectives Evaluation of the symptoms of parental post-traumatic stress disorder (PTSD), according to the severity of the prematurity, in mothers and fathers of premature babies. Materials and methods According to the Perinatal Risk Inventory (PERI), the parents of premature infants (gestational age less than 34 weeks) were divided into two groups, parents of a low-risk premature infants (n = 16) and of high-risk premature infants (n = 26). The symptoms of intrusion and avoidance, as a part of the post-traumatic stress disorder, were evaluated by an autoadministrated questionnaire, the Impact of Event Scale (IES). Their responses were compared with a control group of parents of full-term infants (n = 24). The differences in the answers of mothers and fathers were analysed. Results The occurrence of symptoms of post-traumatic stress disorder is increased in parents of preterm infants compared with the control group. Whereas mothers of premature infants are at risk of presenting symptoms of PTSD, linked to the prematurity, with fathers the infant perinatal risk factors play a greater role. The symptoms of intrusion are present in mothers and fathers of preterm infants of both groups. Mothers of both groups present avoidance symptoms, although only fathers of high-risk preterm infants present them. Conclusions Premature birth has an impact on both parents in terms of post-traumatic stress reactions. However, mothers and fathers react in different ways according to the severity of the prematurity.

Syndrome des jambes sans repos chez la personne âgée: une affection méconnue [Restless legs syndrome in the elderly: an unrecognized disorder].

The restless legs syndrome (RLS) is a frequent, often unrecognized disorder in the elderly. The diagnosis is essentially based on the clinical history. The RLS is characterized by (1) an urge to move the limbs, usually associated with abnormal sensations in the legs; (2) symptoms are worse at rest; (3) they are relieved by movements; (4) they mainly occur in the evening or at night. Specific diagnostic criteria have been developed for cognitively impaired elderly persons. The RLS is a chronic disorder with high impact on sleep and quality of life. Treatment is symptomatic and recommended drugs are dopaminergic agents, opioids, and gabapentine.

Extreme Precipitation Modelling Using Geostatistics and Machine Learning Algorithms

The paper presents an approach for mapping of precipitation data. The main goal is to perform spatial predictions and simulations of precipitation fields using geostatistical methods (ordinary kriging, kriging with external drift) as well as machine learning algorithms (neural networks). More practically, the objective is to reproduce simultaneously both the spatial patterns and the extreme values. This objective is best reached by models integrating geostatistics and machine learning algorithms. To demonstrate how such models work, two case studies have been considered: first, a 2-day accumulation of heavy precipitation and second, a 6-day accumulation of extreme orographic precipitation. The first example is used to compare the performance of two optimization algorithms (conjugate gradients and Levenberg-Marquardt) of a neural network for the reproduction of extreme values. Hybrid models, which combine geostatistical and machine learning algorithms, are also treated in this context. The second dataset is used to analyze the contribution of radar Doppler imagery when used as external drift or as input in the models (kriging with external drift and neural networks). Model assessment is carried out by comparing independent validation errors as well as analyzing data patterns.

A Moroccan woman with severe electrolyte disorder

The case of a Moroccan woman, age 25, who came into the emergency department with clinical tetany, is presented. She had experienced muscle spasms and paresthaesia of the upper limb over the previous few days. She had also experienced major diarrhoea for the previous 3 weeks. Investigations revealed a severe electrolyte disorder.

Activity in inferior parietal and medial prefrontal cortex signals the accumulation of evidence in a probability learning task.

In an uncertain environment, probabilities are key to predicting future events and making adaptive choices. However, little is known about how humans learn such probabilities and where and how they are encoded in the brain, especially when they concern more than two outcomes. During functional magnetic resonance imaging (fMRI), young adults learned the probabilities of uncertain stimuli through repetitive sampling. Stimuli represented payoffs and participants had to predict their occurrence to maximize their earnings. Choices indicated loss and risk aversion but unbiased estimation of probabilities. BOLD response in medial prefrontal cortex and angular gyri increased linearly with the probability of the currently observed stimulus, untainted by its value. Connectivity analyses during rest and task revealed that these regions belonged to the default mode network. The activation of past outcomes in memory is evoked as a possible mechanism to explain the engagement of the default mode network in probability learning. A BOLD response relating to value was detected only at decision time, mainly in striatum. It is concluded that activity in inferior parietal and medial prefrontal cortex reflects the amount of evidence accumulated in favor of competing and uncertain outcomes.

Guidance on Discharge from Hospital and the Continuing Care in the Community of People with a Mental Disorder who could Represent a Risk of Serious Physical Harm to Themselves or Others (PDF 985 KB)

Guidance on Discharge from Hospital and the Continuing Care in the Community of People with a Mental Disorder who could Represent a Risk of Serious Physical Harm to Themselves or Others

Eating Disorder Services - Consultation Paper (PDF 98KB)

Eating disorders have one of the highest levels of mortality of any psychiatric illness. Around 0.6% of all those with anorexia nervosa die per year giving a cumulative life time mortality of between 5%-20%. Eating disorders are also associated with high levels of psychiatric and physical complications. The physical complications are often irreversible, lead to multiple medical investigations and have significant resource implications in their management. åÊ