Integrated psychological therapy (IPT) for schizophrenia: is it effective?

Against the background of evidence-based treatments for schizophrenia, nowadays the implementation of specific cognitive and behavioral interventions becomes more important in the standard care of these patients. Over the past 25 years, research groups in 9 countries have carried out 30 independent evaluations of Integrated Psychological Therapy (IPT), a group program that combines neurocognitive and social cognitive interventions with social skills approaches for schizophrenic patients. The aim of the present study was to evaluate the effectiveness of IPT under varying treatment and research conditions in academic and nonacademic sites. In a first step, all 30 published IPT studies with the participation of 1393 schizophrenic patients were included in the meta-analysis. In a second step, only high-quality studies (HQS) (7 studies including 362 patients) were selected and analyzed to check whether they confirmed the results of the first step. Positive mean effect sizes favoring IPT over control groups (placebo-attention conditions, standard care) were found for all dependent variables, including symptoms, psychosocial functioning, and neurocognition. Moreover, the superiority of IPT continued to increase during an average follow-up period of 8.1 months. IPT obtained similarly favorable effects across the different outcome domains, assessment formats (expert ratings, self-reports, and psychological tests), settings (inpatient vs outpatient and academic vs nonacademic), and phases of treatment (acute vs chronic). The HQS confirmed the results of the complete sample. The analysis indicates that IPT is an effective rehabilitation approach for schizophrenia that is robust across a wide range of patients and treatment conditions.

Avoidant coping partially mediates the relationship between patient problem behaviors and depressive symptoms in spousal Alzheimer caregivers

OBJECTIVE: Caring for a loved one with Alzheimer disease is a highly stressful experience that is associated with significant depressive symptoms. Previous studies indicate a positive association between problem behaviors in patients with Alzheimer disease (e.g., repeating questions, restlessness, and agitation) and depressive symptoms in their caregivers. Moreover, the extant literature indicates a robust negative relationship between escape-avoidance coping (i.e., avoiding people, wishing the situation would go away) and psychiatric well-being. The purpose of this study was to test a mediational model of the associations between patient problem behaviors, escape-avoidance coping, and depressive symptoms in Alzheimer caregivers. METHODS: Ninety-five spousal caregivers (mean age: 72 years) completed measures assessing their loved ones' frequency of problem behaviors, escape-avoidance coping, and depressive symptoms. A mediational model was tested to determine if escape-avoidant coping partially mediated the relationship between patient problem behaviors and caregiver depressive symptoms. RESULTS: Patient problem behaviors were positively associated with escape-avoidance coping (beta = 0.38, p < 0.01) and depressive symptoms (beta = 0.26, p < 0.05). Escape-avoidance coping was positively associated with depressive symptoms (beta = 0.33, p < 0.01). In a final regression analysis, the impact of problem behaviors on depressive symptoms was less after controlling for escape-avoidance coping. Sobel's test confirmed that escape-avoidance coping significantly mediated the relationship between problem behaviors and depressive symptoms (z = 2.07, p < 0.05). CONCLUSION: Escape-avoidance coping partially mediates the association between patient problem behaviors and depressive symptoms among elderly caregivers of spouses with dementia. This finding provides a specific target for psychosocial interventions for caregivers.

Tooth loss over five years

Objectives: To assess the ability to predict tooth loss on the basis of clinical and radiographic parameters. Methods: Clinical and radiographic data from a five year prospective cohort were studied to identify cause of progressive tooth loss in older subjects. Results: 363 subjects with a baseline mean age of 67.1 years (S.D. + 4.7, range : 60-75), and 51.4% women were studied including 59.5% never smokers, and 33.0% current smokers. At baseline the subjects had, on average, 22.4 teeth (S.D. + 6.4). Self-assessed tooth loss risk was identified by 16.0 % of subjects while 34% of subjects lost teeth. Tooth loss due to caries was found in 24.7% (178 teeth), periodontitis in 15.4% (133 teeth), peri-apical lesions 5.9% (32 teeth), combined periodontal/peri-apical in 3.4% (18 teeth), and teeth irrational to treat in 7.5% (58 teeth) of the subjects. 122 of the extracted teeth (34%) should have been possible to save but were extracted. At year five severe caries, periodontitis, peri-apical lesions, periodontal/peri-apical, irrational to treat were found in 6.3%, 7.2%, 2.6%, 4.6%, and 1.2% of subjects, respectively. Signs of osteoporosis increased by 11.2 % (Klemetti index). Linear regression analysis failed to include smoking habits as being explanatory. Explanatory factors were researcher prediction of extraction needs, subject self assessment of risk and change in ostoporosis status (r2 = 0.39, ANOVA, F=22.6, p< 0.001). Conclusions: Caries and periodontitis are primary causes for extraction. Progressive osteoporosis is associated with tooth loss. Radiographs, and subjects self-assessment of risk for tooth loss are robust predictors.

Robust Inferences For Covariate Effects On Survival Time With Censored Linear Regression Models

Various inference procedures for linear regression models with censored failure times have been studied extensively. Recent developments on efficient algorithms to implement these procedures enhance the practical usage of such models in survival analysis. In this article, we present robust inferences for certain covariate effects on the failure time in the presence of "nuisance" confounders under a semiparametric, partial linear regression setting. Specifically, the estimation procedures for the regression coefficients of interest are derived from a working linear model and are valid even when the function of the confounders in the model is not correctly specified. The new proposals are illustrated with two examples and their validity for cases with practical sample sizes is demonstrated via a simulation study.

Semiparametric Estimation of Models for Natural Direct and Indirect Effects

In recent years, researchers in the health and social sciences have become increasingly interested in mediation analysis. Specifically, upon establishing a non-null total effect of an exposure, investigators routinely wish to make inferences about the direct (indirect) pathway of the effect of the exposure not through (through) a mediator variable that occurs subsequently to the exposure and prior to the outcome. Natural direct and indirect effects are of particular interest as they generally combine to produce the total effect of the exposure and therefore provide insight on the mechanism by which it operates to produce the outcome. A semiparametric theory has recently been proposed to make inferences about marginal mean natural direct and indirect effects in observational studies (Tchetgen Tchetgen and Shpitser, 2011), which delivers multiply robust locally efficient estimators of the marginal direct and indirect effects, and thus generalizes previous results for total effects to the mediation setting. In this paper we extend the new theory to handle a setting in which a parametric model for the natural direct (indirect) effect within levels of pre-exposure variables is specified and the model for the observed data likelihood is otherwise unrestricted. We show that estimation is generally not feasible in this model because of the curse of dimensionality associated with the required estimation of auxiliary conditional densities or expectations, given high-dimensional covariates. We thus consider multiply robust estimation and propose a more general model which assumes a subset but not all of several working models holds.

How reliable and robust are current biomarkers for copper status?

Cu is an essential nutrient for man, but can be toxic if intakes are too high. In sensitive populations, marginal over- or under-exposure can have detrimental effects. Malnourished children, the elderly, and pregnant or lactating females may be susceptible for Cu deficiency. Cu status and exposure in the population can currently not be easily measured, as neither plasma Cu nor plasma cuproenzymes reflect Cu status precisely. Some blood markers (such as ceruloplasmin) indicate severe Cu depletion, but do not inversely respond to Cu excess, and are not suitable to indicate marginal states. A biomarker of Cu is needed that is sensitive to small changes in Cu status, and that responds to Cu excess as well as deficiency. Such a marker will aid in monitoring Cu status in large populations, and will help to avoid chronic health effects (for example, liver damage in chronic toxicity, osteoporosis, loss of collagen stability, or increased susceptibility to infections in deficiency). The advent of high-throughput technologies has enabled us to screen for potential biomarkers in the whole proteome of a cell, not excluding markers that have no direct link to Cu. Further, this screening allows us to search for a whole group of proteins that, in combination, reflect Cu status. The present review emphasises the need to find sensitive biomarkers for Cu, examines potential markers of Cu status already available, and discusses methods to identify a novel suite of biomarkers.

Robust postmortem survival of murine vestibular and cochlear stem cells

Potential treatment strategies of neurodegenerative and other diseases with stem cells derived from nonembryonic tissues are much less subjected to ethical criticism than embryonic stem cell-based approaches. Here we report the isolation of inner ear stem cells, which may be useful in cell replacement therapies for hearing loss, after protracted postmortem intervals. We found that neonatal murine inner ear tissues, including vestibular and cochlear sensory epithelia, display remarkably robust cellular survival, even 10 days postmortem. Similarly, isolation of sphere-forming stem cells was possible up to 10 days postmortem. We detected no difference in the proliferation and differentiation potential between stem cells isolated directly after death and up to 5 days postmortem. At longer postmortem intervals, we observed that the potency of sphere-derived cells to spontaneously differentiate into mature cell types diminishes prior to the cells losing their potential for self-renewal. Three-week-old mice also displayed sphere-forming stem cells in all inner ear tissues investigated up to 5 days postmortem. In summary, our results demonstrate that postmortem murine inner ear tissue is suited for isolation of stem cells.