96 research outputs found
Sexual dysfunction in first-episode schizophrenia patients: results from European First Episode Schizophrenia Trial
Sexual dysfunctions (SDs) occur frequently in schizophrenia patients and have a huge impact on quality of life and compliance. They are often associated with antipsychotic medication. Nicotine consumption, negative or depressive symptoms, and physical illness are also discussed as contributing factors. Data on SD in first-episode schizophrenia patients are scarce.As part of the European First Episode Schizophrenia Trial, first-episode schizophrenia patients were randomly assigned to 5 medication groups. We assessed SD by analyzing selected items from the Udvalg for Kliniske Undersugelser at baseline and at 5 following visits.Differences between antipsychotics were small for all SDs, and fairly little change in the prevalence of SDs was seen over the course of the study. A significantly larger increase of amenorrhea and galactorrhea was seen with amisulpride than with the other medications. In men, higher age, more pronounced Positive and Negative Syndrome Scale general psychopathology symptoms, and higher plasma prolactin levels predicted higher rates of erectile and ejaculatory dysfunctions. Positive and Negative Syndrome Scale negative symptoms and higher age were predictors for decreased libido.In women, higher prolactin plasma levels were identified as a predictor of amenorrhea. Positive and Negative Syndrome Scale negative symptoms predicted decreased libido.All evidence taken together underscores the influence of the disease schizophrenia itself on sexual functioning. In addition, there is a strong correlation between the prolactin-increasing properties of amisulpride and menstrual irregularities
Drug attitude as predictor for effectiveness in first-episode schizophrenia: Results of an open randomized trial (EUFEST)
Effectiveness has become more and more important as a comprehensive outcome measure for (long-term) treatment in schizophrenia. Early predictors to identify patients at a high risk for not succeeding the initiated treatment would be very useful. Discontinuation of the initiated treatment was used as criterion for effectiveness and patients' drug attitude was shown to be predictive for non-adherence or discontinuation of long-term treatment in schizophrenia. Accordingly, the predictive validity of the Drug Attitude Inventory (DAI) for effectiveness should be evaluated. Based on a sub-sample of patients from the EUFEST study for whom DAI assessments were available significant predictors for effectiveness as measured by discontinuation of initiated treatment were identified based on a logistic and a Cox-regression analysis. A Receiver-Operating Characteristic- (ROC-) analysis was conducted for the DAI, prognostic / diagnostic parameters (sensitivity, specificity) were calculated and a cut-off value suggested. In a sample of 228 first-episode patients, the DAI score was the most powerful predictor for effectiveness (p<0.001) besides two other significant predictors (PANSS-positive score and sexual side effects). The ROC-analysis revealed an area under the curve of 0.64 (p<0.001). The suggested cut-off point of about 20 yielded a sensitivity of 70-75% and a specificity of 40-45%. Study results indicate that the Drug Attitude Inventory, filled in by patients early in treatment seems to be a valid predictor for effectiveness as measured by discontinuation of the initiated treatment. DAI scores could also serve as an (differential) indicator for the need of enhanced treatment monitoring. These findings have to be validated in other (first-episode) samples
Symptom Remission and Brain Cortical Networks at First Clinical Presentation of Psychosis: The OPTiMiSE Study
Individuals with psychoses have brain alterations, particularly in frontal and temporal cortices, that may be particularly prominent, already at illness onset, in those more likely to have poorer symptom remission following treatment with the first antipsychotic. The identification of strong neuroanatomical markers of symptom remission could thus facilitate stratification and individualized treatment of patients with schizophrenia. We used magnetic resonance imaging at baseline to examine brain regional and network correlates of subsequent symptomatic remission in 167 medication-naĂŻve or minimally treated patients with first-episode schizophrenia, schizophreniform disorder, or schizoaffective disorder entering a three-phase trial, at seven sites. Patients in remission at the end of each phase were randomized to treatment as usual, with or without an adjunctive psycho-social intervention for medication adherence. The final follow-up visit was at 74 weeks. A total of 108 patients (70%) were in remission at Week 4, 85 (55%) at Week 22, and 97 (63%) at Week 74. We found no baseline regional differences in volumes, cortical thickness, surface area, or local gyrification between patients who did or did not achieved remission at any time point. However, patients not in remission at Week 74, at baseline showed reduced structural connectivity across frontal, anterior cingulate, and insular cortices. A similar pattern was evident in patients not in remission at Week 4 and Week 22, although not significantly. Lack of symptom remission in first-episode psychosis is not associated with regional brain alterations at illness onset. Instead, when the illness becomes a stable entity, its association with the altered organization of cortical gyrification becomes more defined
The cross-sectional GRAS sample: A comprehensive phenotypical data collection of schizophrenic patients
<p>Abstract</p> <p>Background</p> <p>Schizophrenia is the collective term for an exclusively clinically diagnosed, heterogeneous group of mental disorders with still obscure biological roots. Based on the assumption that valuable information about relevant genetic and environmental disease mechanisms can be obtained by association studies on patient cohorts of ≥ 1000 patients, if performed on detailed clinical datasets and quantifiable biological readouts, we generated a new schizophrenia data base, the GRAS (Göttingen Research Association for Schizophrenia) data collection. GRAS is the necessary ground to study genetic causes of the schizophrenic phenotype in a 'phenotype-based genetic association study' (PGAS). This approach is different from and complementary to the genome-wide association studies (GWAS) on schizophrenia.</p> <p>Methods</p> <p>For this purpose, 1085 patients were recruited between 2005 and 2010 by an invariable team of traveling investigators in a cross-sectional field study that comprised 23 German psychiatric hospitals. Additionally, chart records and discharge letters of all patients were collected.</p> <p>Results</p> <p>The corresponding dataset extracted and presented in form of an overview here, comprises biographic information, disease history, medication including side effects, and results of comprehensive cross-sectional psychopathological, neuropsychological, and neurological examinations. With >3000 data points per schizophrenic subject, this data base of living patients, who are also accessible for follow-up studies, provides a wide-ranging and standardized phenotype characterization of as yet unprecedented detail.</p> <p>Conclusions</p> <p>The GRAS data base will serve as prerequisite for PGAS, a novel approach to better understanding 'the schizophrenias' through exploring the contribution of genetic variation to the schizophrenic phenotypes.</p
Effectiveness as an outcome measure for treatment trials in psychiatry
There is at present some confusion about the relative value of clinical trials performed to investigate efficacy vs. those designed to investigate effectiveness. This is particularly challenging when studies performed as experiments for regulators by companies are used to shape and inform clinical practice, especially if studies conducted under more real life conditions fail to support predicted benefits. We review the field in relation to the new antipsychotics, in particular. Other indications, including mood disorders, which are also briefly touched upon, have so far received less definitive attention, but are likely to encounter the same difficulties. We conclude that, where the results of efficacy trials are positive and an effectiveness trial is negative, one should not necessarily prefer the effectiveness trial – it may simply have failed. Where efficacy trials and effectiveness trials point to similar conclusions, then the findings are mutually supportive
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