8 research outputs found

    Moderating role of cannabis use between insight and depression in early psychosis.

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    A high level of insight in first episode psychosis (FEP) is positively correlated to important prognostic factors such as medication adherence and functional outcome but is associated with increased depression level and suicidal behavior. This is the first study questioning the potential moderating role of cannabis use in the relationship between insight and depression one year after a FEP. In this prospective observational study, we enrolled 214 FEP patients who had provided informed consent and been referred to a specialized early psychosis program and followed for 36 months. A series of multivariate regression models were used. Baseline insight, medication adherence and cannabis use (level of use on a continuum) were entered as independent variables, while the PANSS (positive and negative), the MADRS and the SOFAS scores after one year were alternately selected as the dependent variable. We found a three-way interaction term between cannabis use, insight and medication adherence on depression level one year after the entry into the program. A high level of insight was significantly associated with higher MADRS scores in patients with high cannabis use, while depression decreased in high-insight patients with low cannabis use. Cannabis use continuation during the year following a first episode psychosis may play a significant role in the development or the maintenance of post-psychotic depression in patients who present with high level of insight and adherence to medication, stressing the need for specific therapeutic strategies in this subgroup of patients

    Mentalization-based treatment in clinical high risk for psychosis: A rationale and clinical illustration

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    Developmental clinical research in recent years has highlighted the value treating psychotic disorders at the earliest stage to reduce long-term morbidity. It is now suggested that treatment during the clinical high risk states (CHR), preceding by 1 to 4 years the onset of psychotic disorders, may delay or prevent the onset of psychosis, and contribute to a more positive prognosis. In this article, we wish to provide a rationale and clinical illustration of mentalization-based treatment (MBT) as an indicated preventive treatment for CHR. We will first review the notion of high-risk for psychosis, providing a trans-theoretical developmental framework for conceptualizing the clinical progression from sub-clinical towards clinical psychotic states. Second, we address the commonalities and differences between the constructs of mentalization and metacognition, and discuss their relevance in preventive psychotherapeutic treatment for CHR. Thirdly, we provide a clinical illustration of MBT to emerging psychosis. Finally, we conclude by discussing the specific contributions of MBT approach in youths at CHR, and the necessary research for evaluating its relevance in the context of risk for developing psychosis

    Attachment, Neurobiology, and Mentalizing along the Psychosis Continuum.

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    In this review article, we outline the evidence linking attachment adversity to psychosis, from the premorbid stages of the disorder to its clinical forms. To better understand the neurobiological mechanisms through which insecure attachment may contribute to psychosis, we identify at least five neurobiological pathways linking attachment to risk for developing psychosis. Besides its well documented influence on the hypothalamic-pituary-adrenal (HPA) axis, insecure attachment may also contribute to neurodevelopmental risk through the dopaminergic and oxytonergic systems, as well as bear influence on neuroinflammation and oxidative stress responses. We further consider the neuroscientific and behavioral studies that underpin mentalization as a suite of processes potentially moderating the risk to transition to psychotic disorders. In particular, mentalization may help the individual compensate for endophenotypical impairments in the integration of sensory and metacognitive information. We propose a model where embodied mentalization would lie at the core of a protective, resilience response mitigating the adverse and potentially pathological influence of the neurodevelopmental cascade of risk for psychosis

    Importance of early weight changes to predict long-term weight gain during psychotropic drug treatment.

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    BACKGROUND: Psychotropic drugs can induce substantial weight gain, particularly during the first 6 months of treatment. The authors aimed to determine the potential predictive power of an early weight gain after the introduction of weight gain-inducing psychotropic drugs on long-term weight gain. METHOD: Data were obtained from a 1-year longitudinal study ongoing since 2007 including 351 psychiatric (ICD-10) patients, with metabolic parameters monitored (baseline and/or 1, 3, 6, 9, 12 months) and with compliance ascertained. International Diabetes Federation and World Health Organization definitions were used to define metabolic syndrome and obesity, respectively. RESULTS: Prevalences of metabolic syndrome and obesity were 22% and 17%, respectively, at baseline and 32% and 24% after 1 year. Receiver operating characteristic analyses indicated that an early weight gain > 5% after a period of 1 month is the best predictor for important long-term weight gain (≥ 15% after 3 months: sensitivity, 67%; specificity, 88%; ≥ 20% after 12 months: sensitivity, 47%; specificity, 89%). This analysis identified most patients (97% for 3 months, 93% for 12 months) who had weight gain ≤ 5% after 1 month as continuing to have a moderate weight gain after 3 and 12 months. Its predictive power was confirmed by fitting a longitudinal multivariate model (difference between groups in 1 year of 6.4% weight increase as compared to baseline, P = .0001). CONCLUSION: Following prescription of weight gain-inducing psychotropic drugs, a 5% threshold for weight gain after 1 month should raise clinician concerns about weight-controlling strategies

    Early changes of blood lipid levels during psychotropic drug treatment as predictors of long-term lipid changes and of new onset dyslipidemia.

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    Cardiovascular diseases and dyslipidemia represent a major health issue in psychiatry. Many psychotropic drugs can induce a rapid and substantial increase of blood lipid levels. This study aimed to determine the potential predictive power of an early change of blood lipid levels during psychotropic treatment on long-term change and on dyslipidemia development. Data were obtained from a prospective study including 181 psychiatric patients with metabolic parameters monitored during the first year of treatment and with adherence ascertained. Blood lipid levels (ie, total cholesterol [TC], low-density lipoprotein cholesterol [LDL-C], high-density lipoprotein cholesterol [HDL-C], non-high-density lipoprotein cholesterol [non-HDL-C], and fasting triglycerides [TGs]) were measured at baseline and after 1, 3, and/or 12 months of treatment. Receiver-operating characteristic analyses indicated that early (ie, after 1 month of psychotropic treatment) increases (≥5%) for TC, LDL-C, TG, and non-HDL-C and decrease (≥5%) for HDL-C were the best predictors for clinically relevant modifications of blood lipid levels after 3 months of treatment (≥30% TC, ≥40% LDL-C, ≥45% TG, ≥55% non-HDL-C increase, and ≥20% HDL-C decrease; sensitivity 70%-100%, specificity 53%-72%). Predictive powers of these models were confirmed by fitting longitudinal multivariate models in the same cohort (P ≤ .03) as well as in a replication cohort (n = 79; P ≤ .003). Survival models showed significantly higher incidences of new onset dyslipidemia (TC, LDL-C, and non-HDL-C hypercholesterolemia, HDL-C hypocholesterolemia, and hypertriglyceridemia) for patients with early changes of blood lipid levels compared to others (P ≤ .01). Early modifications of blood lipid levels following prescription of psychotropic drugs inducing dyslipidemia should therefore raise questions on clinical strategies to control long-term dyslipidemia

    A Heart Surgery Simulator With an Integrated Supervision System for Self-Learning the Key Steps and Pitfalls of the Mitral Valve Repair: Initial Investigation.

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    Over the years, surgical education has dramatically improved and has become increasingly innovative. Almost all educational programs in surgery now rely on sophisticated training boxes and simulators that enable surgical instruments to be handled and surgical procedures to be trained in a safe environment. However, simulators need constant feedback from supervising senior surgeons, who only have limited teaching time available. We describe a cardiac surgery simulator with an integrated supervision system for self-learning how to repair a mitral valve. We developed a mitral surgery simulator with integrated sensors to generate, record, and display quantitative data on trainee performance in relation with the mitral valve repair procedure. A team of experienced cardiac surgeons defined critical areas of the model and an algorithm to identify inconsistent movements, in terms of error types and out-of-bound actions. The device provided real-time feedback on the accuracy of the stitches placed. Four experienced cardiac surgeons and 3 advanced cardiac-surgery used the simulator and were asked to evaluate specific parameters of the system on a scale ranging from 1 to 10. All surgeons completed a P2 resection, followed by implanting a 32-mm mitral ring. The simulator detected 2 stitches that were placed in dangerous zones and another stitch that was placed in an inappropriate position. Users scored the real tissue feeling and interactivity of the model 9.5/10. This heart-surgery simulator offers a real-life model for learning about and training in mitral valve surgery, which could potentially replace the experienced surgeon's teaching role

    Détection et traitement précoce des sujets à haut risque clinique de psychose : définitions et recommandations [Detection and early treatment of subjects at high risk of clinical psychosis: Definitions and recommendations]

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    In children and adolescents, psychotic disorders already represent one of the leading causes of disability-adjusted life years. During the past two decades, early detection of risk for psychosis has been intensively investigated, and in particular, predictive power for early signs of risk has been initiated and translated into clinical practice. In particular, the attenuated and transient positive symptoms of the ultra-high risk criteria, and the basic symptom criterion "cognitive disturbances", open promising routes to an indicated prevention and have recently been considered by the European Psychiatric Association (EPA) as diagnostic criteria of a psychosis-risk syndrome. The EPA recently provided evidence-based recommendations on the early detection of clinical high risk (CHR) for psychosis in patients with mental distress. In 2015, experts in the field of early detection conducted a meta-analysis reporting on studies examining conversion rates to psychosis in non-overlapping samples meeting at least one of the main CHR criteria: ultra-high risk (UHR) and/or basic symptoms criteria, examining the effects of potential moderators (different UHR criteria definitions, single UHR criteria and age) on conversion rates. In the 42 identified samples, comprising more than 4000 CHR patients who had been mainly identified by means of UHR criteria and/or the basic symptom criterion 'cognitive disturbances' (COGDIS), conversion rates showed considerable heterogeneity. While UHR and COGDIS criteria were related to comparable conversion rates until a 2-year follow-up, rates for COGDIS were significantly higher for follow-up periods beyond 2 years. Differences in onset and frequency requirements of symptomatic UHR criteria, or in their different consideration of functional decline, substance use and co-morbidity, did not seem to have an impact on conversion rates. The 'genetic risk and functional decline' UHR criterion was rarely met and only showed an insignificant pooled sample effect. However, age significantly affected UHR conversion rates with lower rates in children and adolescents. Although more research into potential sources of heterogeneity in conversion rates is needed to facilitate improvement of CHR criteria, six evidence-based recommendations for the early detection of psychosis were developed as a basis for the EPA guidance on early intervention in CHR states. The EPA guidance on early intervention aimed to provide evidence-based recommendations on early intervention in CHR states of psychosis, assessed according to the EPA guidance on early detection. The recommendations were also made by experts in the field of early intervention in psychoses and derived from a meta-analysis of current empirical evidence on the efficacy of psychological and pharmacological interventions in CHR samples. Eligible studies had to investigate conversion rate and/or functioning as a treatment outcome in CHR patients defined by the ultra-high risk and/or basic symptom criteria. In addition to analyses of treatment effects on conversion rate and functional outcome, age and type of intervention were examined as potential moderators. Based on data from 15 studies (n=1394), early intervention generally produced significantly reduced conversion rates at 6- to 48-month follow-up compared to control conditions. However, early intervention failed to achieve significantly greater functional improvements because both early intervention and control conditions produced similar positive effects. With regard to the type of intervention, both psychological and pharmacological interventions produced significant effects on conversion rates but not on functional outcome relative to the control conditions. Early intervention in youth samples was generally less effective than in predominantly adult samples. Seven evidence-based recommendations for early intervention in CHR samples have been formulated, although more studies are needed to investigate the specificity of treatment effects and potential age effects in order to tailor interventions to the individual treatment needs and risk status. Overall, age-related specificities and developmental transitions in the early detection and intervention in psychoses should be better accounted for in future research

    Agitation aiguë chez l’adulte : proposition d’un algorithme de traitement psychopharmacologique [Rapid tranquilisation in adults : algorithm proposed for psychopharmacological treatment]

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    Acute treatment of agitation in psychiatry is one of the urgent situations for which management recommendations are needed. Various existing international recommendations have been evaluated and adapted to our clinical practice and to the drugs available in Switzerland in order to propose a uniform management strategy in our hospital. This strategy includes a treatment choice algorithm with different options depending on the clinical situation and the possible route of administration. Dose recommendations for the oral and intramuscular routes, certain pharmacokinetic parameters, as well as risks of interactions and important warnings are also included in this clinical recommendation
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