Depressive symptoms as a predictor of alcohol relapse after residential treatment programs for alcohol use disorder

Alcohol use disorder (AUD) and depressive disorders often co-occur. Findings on the effects of major depressive disorder (MDD) or depressive symptoms on posttreatment alcohol relapse are controversial. The study's aim is to examine the association of MDD and depressive symptoms with treatment outcomes after residential AUD programs. In a naturalistic-prospective, multisite study with 12 residential AUD treatment programs in the German-speaking part of Switzerland, 64 patients with AUD with MDD, 283 patients with AUD with clinically significant depressive symptoms at admission, and 81 patients with AUD with such problems at discharge were compared with patients with AUD only on alcohol use, depressive symptoms, and treatment service utilization. MDD was provisionally identified at admission and definitively defined at discharge. Whereas patients with MDD did not differ from patients with AUD only at 1-year follow-up, patients with AUD with clinically significant depressive symptoms had significantly shorter time-to-first-drink and a lower abstinence rate. These patients also had elevated AUD indices and treatment service utilization for psychiatric disorders. Our results suggest that clinically significant depressive symptoms are a substantial risk factor for relapse so that it may be important to treat them during and after residential AUD treatment programs.

Use of linezolid in neonatal and pediatric inpatient facilities-results of a retrospective multicenter survey

The purpose of this investigation was to describe the use of linezolid in pediatric inpatient facilities. A retrospective multicenter survey including data from nine participating tertiary care pediatric inpatient facilities in Germany and Austria was undertaken. Data on 126 off-label linezolid treatment courses administered to 108 patients were documented. The survey comprises linezolid treatment in a broad spectrum of clinical indications to children of all age groups; the median age was 6.8 years (interquartile range 0.6-15.5 years; range 0.1-21.2 years; ten patients were older than 18 years of age but were treated in pediatric inpatient units). Of the 126 treatment courses, 27 (21%) were administered to preterm infants, 64 (51%) to pediatric oncology patients, and 5% to patients soon after liver transplantation. In 25%, the infection was related to a medical device. Linezolid iv treatment was started after intensive pre-treatment (up to 11 other antibiotics for a median duration of 14 days) and changed to enteral administration in only 4% of all iv courses. In 39 (53%) of 74 courses administered to children older than 1 week and younger than 12 years of age, the dose was not adjusted to age-related pharmacokinetic parameters. In only 17 courses (13%) was a pediatric infectious disease consultant involved in the clinical decision algorithm. Linezolid seemed to have contributed to a favorable outcome in 70% of all treatment courses in this survey. Although retrospective, this survey generates interesting data on the off-label use of linezolid and highlights several important clinical aspects in which the use of this rescue antibiotic in children might be improved.

Treatment outcomes of an integrated residential programme for patients with schizophrenia and substance use disorder

About half of all schizophrenic patients have a co-occurring substance use disorder, leading to poorer social and functional outcomes than obtained in non-abusing patients. To improve outcomes, integrated treatments have been designed that address the two conditions simultaneously. Results are, however, conflicting because the available effect studies are hampered by various methodological issues, among which are heterogeneous patient samples.

A prediction model for assessing residential radon concentration in Switzerland

Indoor radon is regularly measured in Switzerland. However, a nationwide model to predict residential radon levels has not been developed. The aim of this study was to develop a prediction model to assess indoor radon concentrations in Switzerland. The model was based on 44,631 measurements from the nationwide Swiss radon database collected between 1994 and 2004. Of these, 80% randomly selected measurements were used for model development and the remaining 20% for an independent model validation. A multivariable log-linear regression model was fitted and relevant predictors selected according to evidence from the literature, the adjusted R², the Akaike's information criterion (AIC), and the Bayesian information criterion (BIC). The prediction model was evaluated by calculating Spearman rank correlation between measured and predicted values. Additionally, the predicted values were categorised into three categories (50th, 50th-90th and 90th percentile) and compared with measured categories using a weighted Kappa statistic. The most relevant predictors for indoor radon levels were tectonic units and year of construction of the building, followed by soil texture, degree of urbanisation, floor of the building where the measurement was taken and housing type (P-values <0.001 for all). Mean predicted radon values (geometric mean) were 66 Bq/m³ (interquartile range 40-111 Bq/m³) in the lowest exposure category, 126 Bq/m³ (69-215 Bq/m³) in the medium category, and 219 Bq/m³ (108-427 Bq/m³) in the highest category. Spearman correlation between predictions and measurements was 0.45 (95%-CI: 0.44; 0.46) for the development dataset and 0.44 (95%-CI: 0.42; 0.46) for the validation dataset. Kappa coefficients were 0.31 for the development and 0.30 for the validation dataset, respectively. The model explained 20% overall variability (adjusted R²). In conclusion, this residential radon prediction model, based on a large number of measurements, was demonstrated to be robust through validation with an independent dataset. The model is appropriate for predicting radon level exposure of the Swiss population in epidemiological research. Nevertheless, some exposure misclassification and regression to the mean is unavoidable and should be taken into account in future applications of the model.

Self-efficacy as a predictor of outcome after residential treatment programs for alcohol dependence: simply ask the patient one question!

Self-efficacy has been identified as one of the most consistent variables that predict the outcome of alcohol treatment. However, many previous studies in this field failed to control for other important predictors (e.g., dependences severity, psychiatric symptoms, and treatment goal). Our study's first goal was to evaluate the predictive value of self-efficacy when most other relevant variables were statistically controlled. The second goal was to compare the predictive values of self-efficacy assessed with the Situational Confidence Questionnaire (SCQ), and general self-efficacy assessed with a single question.

[Gerodontology consultation in geriatric facilities: general health status (I)]

Dental undertreatment is often seen in the older population. This is particularly true for the elderly living in nursing homes and geriatric hospitals. The progression of chronic diseases results in loss of their independence. They rely on daily support and care due to physical or mental impairment. The visit of a dentist in private praxis becomes difficult or impossible and is a logistic problem. These elderly patients are often not aware of oral and dental problems or these are not addressed. The geriatric hospital Bern, Ziegler, has integrated dental care in the concept of physical rehabilitation of geriatric patients. A total of 139 patients received dental treatment in the years 2005/2006. Their mean age was 83 years, but the segment with > 85 years of age amounted to 46%. The general health examinations reveald multiple and complex disorders. The ASA classification (American Society of Anesthesiologists, Physical Status Classification System) was applied and resulted in 15% = P2 (mild systemic disease, no functional limitation), 47% = P3 (severe systemic disease, definite functional limitations) and 38% = P4 (severe systemic disease, constant threat to life). Eighty-seven of the patients exhibited 3 or more chronic diseases with a prevalence of cardiovascular diseases, musculoskelettal disorders and dementia. Overall the differences between men and women were small, but broncho-pulmonary dieseases were significantly more frequent in women, while men were more often diagnosed with dementia and depression. Verbal communication was limited or not possible with 60% of the patients due to cognitive impairment or aphasia after a stroke. Although the objective treatment need is high, providing dentistry for frail and geriatric patients is characterized by risks due to poor general health conditions, difficulties in communication, limitations in feasibility and lack of adequate aftercare. In order to prevent the problem of undertreatment, elderly independently living people should undergo dental treatment regularly and in time. Training of nurses and doctors of geriatric hospitals in oral hygiene should improve the awareness. A multidisciplinary assessment of geriatric patients should include the oral and dental aspect if they enter the hospital.

Embedding Moose Facilities Directly in IDEs

Moose is a powerful reverse engineering platform, but its facilities and means to analyze software are separated from the tools developers typically use to develop and maintain their software systems: development environments such as Eclipse, VisualWorks, or Squeak. In practice, this requires developers to work with two distinct environments, one to actually develop the software, and another one (e.g., Moose) to analyze it. We worked on several different techniques, using both dynamic and static analyzes to provide software analysis capabilities to developers directly in the IDE. The immediate availability of analysis tools in an IDE significantly increases the likelihood that developers integrate software analysis in their daily work, as we discovered by conducting user studies with developers. Finally, we identified several important aspect of integrating software analysis in IDEs that need to be addressed in the future to increase the adoption of these techniques by developers.