192 resultados para decision strategies
Resumo:
Some authors argue that both substance dependence and eating disorders should be considered as dependent behaviours. Similarities and differences between these disorders, however, remain unclear. This study compares processes of emotion regulation in adolescents and young adults (15 to 25 years old) with substance dependence (SD) or eating disorders (ED). One hundred and thirteen SD, 50 ED and 86 non-clinical subjects (NC), recruited in four French and Swiss locations, completed a self-report questionnaire of emotion regulation strategies. This questionnaire addresses the subjects' relationships, concerning past and present family, and refers to Main's (1990) concept of primary strategy (balanced activation and deactivation of attachment behaviours), and of secondary strategies (hyperactivation or excessive deactivation of the attachment system). Participants were also questioned in structured interviews, about life events and DSM-IV classification criteria. SD reported more adverse events than ED and NC. SD and ED reported using fewer primary strategies than NC, and SD had secondary strategies that were different from those of ED. Patients with eating disorders reported more hyperactivation, and SD reported more deactivation of the attachment system. It is hypothesized that while subjects with SD and ED have in common poorly regulated strategies, they differ in the way they process emotion or relationship-related information.
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OBJECTIVES: Previous literature suggests that early psychosis (EP) patients with a history of offending behavior (HOB) have specific clinical needs. The aims of this study were to assess: (1) the prevalence of HOB in a representative sample of EP; (2) the premorbid and baseline characteristics of patients with HOB, and (3) the potential differences in short-term outcome of such patients when compared to patients without HOB. METHODS: The Early Psychosis Prevention and Intervention Centre (EPPIC) admitted 786 EP patients between 1998 and 2000. Data were collected from patients' files using a standardized questionnaire. Data of 647 patients could be analyzed. RESULTS: HOB patients (29% of the sample) were more likely to be male with lower level of premorbid functioning and education, have used illicit substances and have attempted suicide. They presented with a more complex clinical picture and had poorer 18-month outcome. Most importantly, they had a significantly longer duration of untreated psychosis. CONCLUSIONS: On the basis of the high prevalence and specific features of EP patients with HOB, our study confirms a need for additional research in this domain and for the development of specific treatment strategies. Most importantly, it suggests a need for the promotion of early detection strategies among the populations of young offenders, considering that some of them may be going through the early phases of a psychotic disorder and that reduction of treatment delay and provision of well adapted interventions may have a significant impact at numerous levels in such patients.
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This thesis concerns the role of scientific expertise in the decision-making process at the Swiss federal level of government. It aims to understand how institutional and issue-specific factors influence three things: the distribution of access to scientific expertise, its valuation by participants in policy for- mulation, and the consequence(s) its mobilization has on policy politics and design. The theoretical framework developed builds on the assumption that scientific expertise is a strategic resource. In order to effectively mobilize this resource, actors require financial and organizational resources, as well as the conviction that it can advance their instrumental interests within a particular action situation. Institutions of the political system allocate these financial and organizational resources, influence the supply of scientific expertise, and help shape the venue of its deployment. Issue structures, in turn, condition both interaction configurations and the way in which these are anticipated by actors. This affects the perceived utility of expertise mobilization, mediating its consequences. The findings of this study show that the ability to access and control scientific expertise is strongly concentrated in the hands of the federal administration. Civil society actors have weak capacities to mobilize it, and the autonomy of institutionalized advisory bodies is limited. Moreover, the production of scientific expertise is undergoing a process of professionalization which strengthens the position of the federal administration as the (main) mandating agent. Despite increased political polarization and less inclu- sive decision-making, scientific expertise remains anchored in the policy subsystem, rather than being used to legitimate policy through appeals to the wider population. Finally, the structure of a policy problem matters both for expertise mobilization and for the latter's impact on the policy process, be- cause it conditions conflict structures and their anticipation. Structured problems result in a greater overlap between the principal of expertise mobilization and its intended audience, thereby increasing the chance that expertise shapes policy design. Conversely, less structured problems, especially those that involve conflicts about values and goals, reduce the impact of expertise.
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In occupational exposure assessment of airborne contaminants, exposure levels can either be estimated through repeated measurements of the pollutant concentration in air, expert judgment or through exposure models that use information on the conditions of exposure as input. In this report, we propose an empirical hierarchical Bayesian model to unify these approaches. Prior to any measurement, the hygienist conducts an assessment to generate prior distributions of exposure determinants. Monte-Carlo samples from these distributions feed two level-2 models: a physical, two-compartment model, and a non-parametric, neural network model trained with existing exposure data. The outputs of these two models are weighted according to the expert's assessment of their relevance to yield predictive distributions of the long-term geometric mean and geometric standard deviation of the worker's exposure profile (level-1 model). Bayesian inferences are then drawn iteratively from subsequent measurements of worker exposure. Any traditional decision strategy based on a comparison with occupational exposure limits (e.g. mean exposure, exceedance strategies) can then be applied. Data on 82 workers exposed to 18 contaminants in 14 companies were used to validate the model with cross-validation techniques. A user-friendly program running the model is available upon request.
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OBJECTIVES: There is urgent need of a treatment for progressive multifocal leukoencephalopathy (PML), caused by the polyomavirus JC (JCV). To evaluate the rationale for immunotherapy of PML, we explored whether JCV-specific cytotoxic T lymphocytes (CTL) can penetrate the central nervous system (CNS). In addition, we studied the breadth of their T-cell receptor (TCR) repertoire, and sought to establish a reliable method to expand these cells in vitro. DESIGN AND METHODS: We enrolled 18 patients in this study, including 16 with proven or possible PML (15 HIV-positive and one HIV-negative), and two HIV-positive patients with other neurological diseases. Detection of JCV-specific CTL in the blood and the cerebrospinal fluid was performed by Cr release and tetramer staining assays in 15 patients. RESULTS: Of 11 PML patients with analyzable cerebrospinal fluid (CSF), two had no detectable JCV-specific CTL in the blood and CSF and died 3.7 and 7.2 months later. The nine remaining patients had an inactive course of PML and detectable JCV-specific CTL in the blood. In addition, four of them (44%) also had detectable JCV-specific CTL in the CSF. Both HIV-positive patients with OND had detectable JCV-specific CTL in the blood and one in the CSF. Using tetramer technology, we obtained highly enriched JCV-specific CTL lines that were able to kill target cells presenting JCV peptides. The breadth of the TCR repertoire was CTL epitope dependent. CONCLUSIONS: These results indicate that JCV-specific CTL are present in the CNS of PML patients and pave the way for an immune-based therapeutic approach.
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Purpose of reviewAtherosclerotic renal artery stenosis (ARAS) usually occurs in patients at high risk of vascular disease, and is associated with increased mortality. The primary goals of ARAS treatment include the control of blood pressure (BP), the improved renal function, and the benefit on cardiovascular events. Although medical therapy remains the standard approach to the management of ARAS, percutaneous transluminal renal angioplasty (PTRA) revascularization can be a therapeutic option under certain conditions.Recent findingsRecent evidence confirms that ARAS increases cardiovascular risk, independent of BP and renal function. This suggests that revascularization might potentially improve overall prognosis, but no data are available currently. In cases of significant ARAS, the accepted indications for PTRA are uncontrollable hypertension, gradual or acute renal function decline with the use of agents blocking the renin-angiotensin-aldosterone system, and recurrent flash pulmonary edema. The key point of treatment success remains in all cases a careful patient selection.SummaryAlthough the atherosclerotic lesions of the renal arteries tend to progress over time, the anatomical lesion progression is not always associated with changes in BP. Furthermore, a poor correlation was noted between the degree of anatomic stenosis and glomerular filtration rate. The high cardiovascular risk warrants aggressive pharmacological treatment to prevent progression of the generalized vascular disorder. Ongoing trials will show whether PTRA revascularization has added, long-term effects on BP, renal function, and cardiovascular prognosis. With or without PTRA revascularization, medical therapy using antihypertensive agents, statins, and aspirin is necessary in almost all cases.
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BACKGROUND: The purpose of this study was to assess decision making in patients with multiple sclerosis (MS) at the earliest clinically detectable time point of the disease. METHODS: Patients with definite MS (n = 109) or with clinically isolated syndrome (CIS, n = 56), a disease duration of 3 months to 5 years, and no or only minor neurological impairment (Expanded Disability Status Scale [EDSS] score 0-2.5) were compared to 50 healthy controls using the Iowa Gambling Task (IGT). RESULTS: The performance of definite MS, CIS patients, and controls was comparable for the two main outcomes of the IGT (learning index: p = 0.7; total score: p = 0.6). The IGT learning index was influenced by the educational level and the co-occurrence of minor depression. CIS and MS patients developing a relapse during an observation period of 15 months dated from IGT testing demonstrated a lower learning index in the IGT than patients who had no exacerbation (p = 0.02). When controlling for age, gender and education, the difference between relapsing and non-relapsing patients was at the limit of significance (p = 0.06). CONCLUSION: Decision making in a task mimicking real life decisions is generally preserved in early MS patients as compared to controls. A possible consequence of MS relapsing activity in the impairment of decision making ability is also suspected in the early phase of MS.
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BACKGROUND: Shared Decision Making (SDM) is increasingly advocated as a model for medical decision making. However, there is still low use of SDM in clinical practice. High impact factor journals might represent an efficient way for its dissemination. We aimed to identify and characterize publication trends of SDM in 15 high impact medical journals. METHODS: We selected the 15 general and internal medicine journals with the highest impact factor publishing original articles, letters and editorials. We retrieved publications from 1996 to 2011 through the full-text search function on each journal website and abstracted bibliometric data. We included publications of any type containing the phrase "shared decision making" or five other variants in their abstract or full text. These were referred to as SDM publications. A polynomial Poisson regression model with logarithmic link function was used to assess the evolution across the period of the number of SDM publications according to publication characteristics. RESULTS: We identified 1285 SDM publications out of 229,179 publications in 15 journals from 1996 to 2011. The absolute number of SDM publications by journal ranged from 2 to 273 over 16 years. SDM publications increased both in absolute and relative numbers per year, from 46 (0.32% relative to all publications from the 15 journals) in 1996 to 165 (1.17%) in 2011. This growth was exponential (P < 0.01). We found fewer research publications (465, 36.2% of all SDM publications) than non-research publications, which included non-systematic reviews, letters, and editorials. The increase of research publications across time was linear. Full-text search retrieved ten times more SDM publications than a similar PubMed search (1285 vs. 119 respectively). CONCLUSION: This review in full-text showed that SDM publications increased exponentially in major medical journals from 1996 to 2011. This growth might reflect an increased dissemination of the SDM concept to the medical community.
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Optimisation of reproductive investment is crucial for Darwinian fitness, and detailed long-term studies are especially suited to unravel reproductive allocation strategies. Allocation strategies depend on the timing of resource acquisition, the timing of resource allocation, and trade-offs between different life-history traits. A distinction can be made between capital breeders that fuel reproduction with stored resources and income breeders that use recently acquired resources. In capital breeders, but not in income breeders, energy allocation may be decoupled from energy acquisition. Here, we tested the influence of extrinsic (weather conditions) and intrinsic (female characteristics) factors during energy storage, vitellogenesis and early gestation on reproductive investment, including litter mass, litter size, offspring mass and the litter size and offspring mass trade-off. We used data from a long-term study of the viviparous lizard, Lacerta (Zootoca) vivipara. In terms of extrinsic factors, rainfall during vitellogenesis was positively correlated with litter size and mass, but temperature did not affect reproductive investment. With respect to intrinsic factors, litter size and mass were positively correlated with current body size and postpartum body condition of the previous year, but negatively with parturition date of the previous year. Offspring mass was negatively correlated with litter size, and the strength of this trade-off decreased with the degree of individual variation in resource acquisition, which confirms theoretical predictions. The combined effects of past intrinsic factors and current weather conditions suggest that common lizards combine both recently acquired and stored resources to fuel reproduction. The effect of past energy store points out a trade-off between current and future reproduction.
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Despite intense efforts, the socioeconomic burden of cancer remains unacceptably high and treatment advances for many common cancers have been limited, suggesting a need for a new approach to drug development. One issue central to this lack of progress is the heterogeneity and genetic complexity of many tumours. This results in considerable variability in therapeutic response and requires knowledge of the molecular profile of the tumour to guide appropriate treatment selection for individual patients. While recent advances in the molecular characterisation of different cancer types have the potential to transform cancer treatment through precision medicine, such an approach presents a major economic challenge for drug development, since novel targeted agents may only be suitable for a small cohort of patients. Identifying the patients who would benefit from individual therapies and recruiting sufficient numbers of patients with particular cancer subtypes into clinical trials is challenging, and will require collaborative efforts from research groups and industry in order to accelerate progress. A number of molecular screening platforms have already been initiated across Europe, and it is hoped that these networks, along with future collaborations, will benefit not only patients but also society through cost reductions as a result of more efficient use of resources. This review discusses how current developments in translational oncology may be applied in clinical practice in the future, assesses current programmes for the molecular characterisation of cancer and describes possible collaborative approaches designed to maximise the benefits of translational science for patients with cancer.