Differentiating schizoaffective and bipolar I disorder in first-episode psychotic mania

This study aims to differentiate schizoaffective disorder (SAD) and bipolar-I-disorder (BD) in first-episode psychotic mania (FEPM).

Comparing the prodrome of schizophrenia-spectrum psychoses and affective disorders with and without psychotic features

Following encouraging results in the early detection of psychotic disorders, interest in the early detection of affective, especially bipolar disorders, has recently been renewed. However, the differentiation between affective disorders with and without psychotic features is often missing, although it has been suggested that affective disorders with psychotic features may be distinct from those without psychotic features and closely linked to non-affective psychoses.

[Pathways-to-Care for First-Episode psychotic patients--an overview of international studies]

A longer duration of untreated psychosis (DUP) as well as of untreated illness (DUI) was found to be associated with a negative course of psychosis. Thus, increasing efforts are made to reduce the DUP and provide adequate treatment as early as possible. But, in order to overcome obstacles to early help-seeking, these have to be identified first. Thus, an overview on initial help-seeking behaviour and predictors of DUP is given. Across 25 identified studies, the DUP, at about one year on average, is still unfavourably long and includes on average of three help-seeking contacts prior to the initiation of adequate treatment. Since negative factors in pathways-to-care involve features on all relevant levels (patient, social environment and health-care system), an optimisation of pathways-to-care will require the integration of services and continuous awareness programmes targeting the general population and mental health-care professionals.

Break detection of annual Swiss temperature series

[1] Instrumental temperature series are often affected by artificial breaks (“break points”) due to (e.g.,) changes in station location, land-use, or instrumentation. The Swiss climate observation network offers a high number and density of stations, many long and relatively complete daily to sub-daily temperature series, and well-documented station histories (i.e., metadata). However, for many climate observation networks outside of Switzerland, detailed station histories are missing, incomplete, or inaccessible. To correct these records, the use of reliable statistical break detection methods is necessary. Here, we apply three statistical break detection methods to high-quality Swiss temperature series and use the available metadata to assess the methods. Due to the complex terrain in Switzerland, we are able to assess these methods under specific local conditions such as the Foehn or crest situations. We find that the temperature series of all stations are affected by artificial breaks (average = 1 break point / 48 years) with discrepancies in the abilities of the methods to detect breaks. However, by combining the three statistical methods, almost all of the detected break points are confirmed by metadata. In most cases, these break points are ascribed to a combination of factors in the station history.

[A rare cause of cardiogenic shock with psychotic symptoms]

A 40-year-old man was admitted to the emergency department with psychotic symptoms and marked hypothermia. He was known to have had a macroadenoma of the pituitary gland which had been excised 10 years before. No information about his current medication was available. Several hours after admission the patient developed signs of acute cardiac failure and cardiogenic shock. He was admitted to the intensive care unit, intubated and treated with vasoactive drugs. Later investigations revealed that the patient had stopped his hormonal therapy (hydrocortisone and thyroxine) at least 3 months previously.

Cerebral connectivity and psychotic personality traits : A diffusion tensor imaging study

This study aims to investigate the relationship between regional connectivity in the brain white matter and the presence of psychotic personality traits, in healthy subjects with psychotic traits. Thirteen healthy controls were administered the MMPI-2, to assess psychotic traits and, according to MMPI results, a dichotomization into a group of "high-psychotic" and "low-psychotic" was performed. Diffusion tensor imaging (DTI) was used as a non-invasive measure, in order to obtain information about the fractional anisotropy (FA), an intravoxel index of local connectivity and, by means of a voxelwise approach, the between-group differences of the FA values were calculated. The "high-psychotic" group showed higher FA in the left arcuate fasciculus. Subjects with low scores for psychotic traits had significantly higher FA in the corpus callosum, right arcuate fasciculus, and fronto-parietal fibers. In line with previous brain imaging studies of schizophrenia spectrum disorders, our results suggest that psychotic personality traits are related to altered connectivity and brain asymmetry.

Differences in the EEG profiles of early and late responders to antipsychotic treatment in first-episode, drug-naive psychotic patients

The aim of this study was to search for differences in the EEG of first-episode, drug-naive patients having a schizophrenic syndrome which presented different time courses in response to antipsychotic treatment. Thirteen patients who fulfilled DSM-IV diagnosis for schizophrenia or schizophreniform disorder participated in this study. Before beginning antipsychotic treatment, the EEG was recorded. On the same day psychopathological ratings were assessed using the ADMDP system, and again after 7 and 28 days of treatment. The resting EEG (19 leads) was subject to spectral analysis involving power values for six frequency bands. The score for the schizophrenic syndrome was used to divide the patients into two groups: those who displayed a clinically meaningful improvement of this syndrome (reduction of more than 30%) after 7 days of treatment (early responders, ER) and those who showed this improvement after 28 days (late responders. LR). Analysis of variance for repeated measures between ER, LR and their matched controls with the 19 EEG leads yielded highly significant differences for the factor group in the alpha2 and beta2 frequency band. No difference was found between the slow-wave frequency bands. Compared to controls the LR group showed significantly higher alpha2 and beta2 power and, in comparison to the ER group, significantly higher alpha2 power. There were no significant differences between the ER and the control group. These findings point to differences in brain physiology between ER and LR. The implications for diagnosis and treatment are discussed.

Lack of concordance between subjective improvement and symptom change in psychotic episodes

OBJECTIVES: Subjective, self-rated improvement in patients with schizophrenia spectrum disorders can carry significance as a first-person account of treatment outcome, and can be of importance for the individual patient's acceptance of further treatment, including psychological treatments. This study assessed the concordance between post-treatment subjective improvement and the observed symptom change after a psychotic episode. DESIGN: Longitudinal study based on daily symptom ratings. METHOD: The study sample consisted of 43 younger, primarily first- or second-episode patients. Observed symptom change was calculated as both pre-post differences and symptom trajectories. Subjective improvement was assessed at the end of treatment by using the 'Emotional and Behavioural Changes in Psychotherapy Questionnaire' (VEV), a retrospective measure of subjective change. RESULTS: The findings indicated no significant concordance between pre-post differences in symptoms and self-rated improvement, nor were final levels of symptoms related to subjective improvement. Higher initial and mean symptom levels for positive symptoms were related to a lower degree of subjective improvement. A shorter duration of an initial trend-like improvement in psychosis was shown to be associated with greater subjective improvement. CONCLUSIONS: Subjective assessment of improvement may differ markedly from symptom change. In psychotic episodes, more severe initial positive symptoms as well as a delayed improvement of positive symptoms may be related to a reduced subjective experience of improvement for the duration of the entire episode. The treatment of psychosis should take a possible discordance between subjective and objective change into account.

Break

Coffee, tea, and snacks will be available for attendees during this break.

Break

Coffee, tea, and snacks will be available for attendees during this break.

Analysis of spring break-up and its effects on a biomass feedstock supply chain in northern Michigan

Demand for bio-fuels is expected to increase, due to rising prices of fossil fuels and concerns over greenhouse gas emissions and energy security. The overall cost of biomass energy generation is primarily related to biomass harvesting activity, transportation, and storage. With a commercial-scale cellulosic ethanol processing facility in Kinross Township of Chippewa County, Michigan about to be built, models including a simulation model and an optimization model have been developed to provide decision support for the facility. Both models track cost, emissions and energy consumption. While the optimization model provides guidance for a long-term strategic plan, the simulation model aims to present detailed output for specified operational scenarios over an annual period. Most importantly, the simulation model considers the uncertainty of spring break-up timing, i.e., seasonal road restrictions. Spring break-up timing is important because it will impact the feasibility of harvesting activity and the time duration of transportation restrictions, which significantly changes the availability of feedstock for the processing facility. This thesis focuses on the statistical model of spring break-up used in the simulation model. Spring break-up timing depends on various factors, including temperature, road conditions and soil type, as well as individual decision making processes at the county level. The spring break-up model, based on the historical spring break-up data from 27 counties over the period of 2002-2010, starts by specifying the probability distribution of a particular county’s spring break-up start day and end day, and then relates the spring break-up timing of the other counties in the harvesting zone to the first county. In order to estimate the dependence relationship between counties, regression analyses, including standard linear regression and reduced major axis regression, are conducted. Using realizations (scenarios) of spring break-up generated by the statistical spring breakup model, the simulation model is able to probabilistically evaluate different harvesting and transportation plans to help the bio-fuel facility select the most effective strategy. For early spring break-up, which usually indicates a longer than average break-up period, more log storage is required, total cost increases, and the probability of plant closure increases. The risk of plant closure may be partially offset through increased use of rail transportation, which is not subject to spring break-up restrictions. However, rail availability and rail yard storage may then become limiting factors in the supply chain. Rail use will impact total cost, energy consumption, system-wide CO2 emissions, and the reliability of providing feedstock to the bio-fuel processing facility.