Several lines of evidence suggest that the normal integration of cerebral communication may be compromised in schizophrenia, with white matter (WM) abnormalities being integral to these functional deficits. Diffusion tensor imaging (DTI) is a neuroimaging technique which has increasingly been used to study WM through quantitative indices of its structural and orientational characteristics. Identifying the WM differences early in the course of schizophrenia may assist in prevention, early diagnosis and identification of treatment targets. In that respect, the aims of the present study were to (a) systematically review WM integrity in the early stages of schizophrenia as inferred by DTI and (b) specifically examine parameters that may affect WM: age, duration of illness and treatment. In summary, DTI studies in early schizophrenia suggest that structural dysconnectivity may be already present in recent-onset and drug-naïve patients, as well as in individuals clinically at high risk for developing schizophrenia. Although the pattern of WM differences is not totally consistent frontal, fronto-temporal and fronto-limbic connections, with tracts including the superior longitudinal fasciculus, cingulum bundle, uncinate fasciculus and corpus callosum seem to be affected. These differences may depend on the developmental stage of the subjects, the duration of illness and exposure to antipsychotic medication.

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Background/Aim. The aim of this study is to examine the effects of perceived cognitive dysfunction and of depression, on self-reported QoL, in a Greek population sample of MS patients. Methods. One hundred outpatients diagnosed with MS completed the Short-Form-36 Health Survey (SF-36), as well as the Perceived Deficits Questionnaire (PDQ) and the Depression subscale of the Mental Health Inventory (MHI), as part of a clinical evaluation which included the Expanded Disability Status Scale (EDSS) estimation. Multiple linear regression was conducted to determine the best linear combination of age, gender, education, EDSS, depression, attention/concentration, retrospective memory, prospective memory, and planning/organization, for predicting QoL scores. Results. In the multivariate regression analysis models, EDSS (P < 0.05), depression (P < 0.001), perceived planning/organization (P < 0.05), and perceived retrospective memory dysfunction (P < 0.05) independently predict quality of life scores. Age, sex, education level, and perceived attention/concentration dysfunction, as well as perceived prospective memory dysfunction, do not independently predict quality of life scores. Conclusions. Perceived planning/organization impairment and perceived retrospective memory impairment in MS patients predict QoL independently of the severity of disease and the severity of depression and therefore should be considered in the assessment of patient health status as well as in the design of treatment interventions and rehabilitation.

Background: The mental health of the population consists of the three essential pillars of quality of life, economy, and society. Mental health services take care of the prevention and treatment of mental disorders and through them maintain, improve, and restore the mental health of the population. The purpose of this study is to describe the methodology for qualitative and quantitative evaluation and improvement of the mental health service system. Methods: This is a narrative review study that searches the literature to provide criteria, indicators, and methodology for evaluating and improving the quality of mental health services and the related qualitative and quantitative indicators. The bibliography was searched in popular databases PubMed, Google Scholar, CINAHL, using the keywords "mental", "health", "quality", "indicators", alone or in combinations thereof. Results: Important quality indicators of mental health services have been collected and presented, and modified where appropriate. The definition of each indicator is presented here, alongside its method of calculation and importance. Each indicator belongs to one of the eight dimensions of quality assessment: (1) Suitability of services, (2) Accessibility of patients to services, (3) Acceptance of services by patients, (4) Ability of healthcare professionals to provide services, (5) Efficiency of health professionals and providers, (6) Continuity of service over time (ensuring therapeutic continuity), (7) Efficiency of health professionals and services, (8) Safety (for patients and for health professionals). Discussion/Conclusions: Accessibility and acceptability of service indicators are important for the attractiveness of services related to their use by the population. Profitability indicators are important economic indicators that affect the viability and sustainability of services, factors that are now taken into account in any health policy. All of the indicators mentioned are related to public health, affecting the quality of life, morbidity, mortality, and life expectancy, directly or indirectly. The systematic measurement and monitoring of indicators and the measurement and quantification of quality through them, are the basis for evidence-based health policy for improvement of the quality of mental health services.

We report a unique case of an adverse interaction between the oxazolidinone antibiotic linezolid, the tricyclic antidepressant amitriptyline and the opioid analgesic fentanyl in a 68-year-old woman with advanced ischemic peripheral arterial disease and sepsis, under empirical antibiotic treatment. We also summarize the current relevant literature as identified via PubMed, EMBASE, and PsycINFO as well as reference sections of selected articles.

Neuroticism is independently associated with QoL in CHF. QoL in CHF is not only determined by disease severity but also by the Neuroticism personality trait.

IntroductionWhite matter (WM) abnormalities are considered integral to the pathophysiology of Schizophrenia (SZ) and Bipolar Disorder (BD), but there is ongoing uncertainty about the contribution of medication to these findings.ObjectivesDiffusion Tensor Imaging (DTI) is a neuroimaging technique that provides quantitative indices of the structural and orientational characteristics of WM. These indices include mean diffusivity (MD), which is a directionally averaged measure of the apparent diffusion coefficient, and fractional anisotropy (FA), which summarizes the orientational dependence of diffusivity. We wanted to determine if these indices are affected by antipsychotic medication.AimsOur aim was to examine the available literature in order to differentiate antipsychotic effects from disorder-specific WM abnormalities on DTI measures.MethodsWe conducted a systematic qualitative review of the DTI literature in Bipolar Disorder (BD) and Schizophrenia (SZ), between 1998 and 2010 and included only studies where the relationship between DTI measures and antipsychotic medication was explicitly examined and reported.ResultsWe identified 40 studies in SZ and 8 in BD. All studies were cross-sectional and involved relatively small patient samples. 32 studies (80%) did not find any relationship between antipsychotic medication (dose, cumulative exposure) and FA or MD.ConclusionsCurrent evidence does not indicate a major impact of antipsychotic treatment on DTI indices of WM integrity. However, the lack of longitudinal, within-subject designs is a major gap in the current literature.