50 research outputs found

    Brain size and brain/intracranial volume ratio in major mental illness

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    <p>Abstract</p> <p>Background</p> <p>This paper summarizes the findings of a long term study addressing the question of how several brain volume measure are related to three major mental illnesses in a Colorado subject group. It reports results obtained from a large N, collected and analyzed by the same laboratory over a multiyear period, with visually guided MRI segmentation being the primary initial analytic tool.</p> <p>Methods</p> <p>Intracerebral volume (ICV), total brain volume (TBV), ventricular volume (VV), ventricular/brain ratio (VBR), and TBV/ICV ratios were calculated from a total of 224 subject MRIs collected over a period of 13 years. Subject groups included controls (C, N = 89), and patients with schizophrenia (SZ, N = 58), bipolar disorder (BD, N = 51), and schizoaffective disorder (SAD, N = 26).</p> <p>Results</p> <p>ICV, TBV, and VV measures compared favorably with values obtained by other research groups, but in this study did not differ significantly between groups. TBV/ICV ratios were significantly decreased, and VBR increased, in the SZ and BD groups compared to the C group. The SAD group did not differ from C on any measure.</p> <p>Conclusions</p> <p>In this study TBV/ICV and VBR ratios separated SZ and BD patients from controls. Of interest however, SAD patients did not differ from controls on these measures. The findings suggest that the gross measure of TBV may not reliably differ in the major mental illnesses to a degree useful in diagnosis, likely due to the intrinsic variability of the measures in question; the differences in VBR appear more robust across studies. Differences in some of these findings compared to earlier reports from several laboratories finding significant differences between groups in VV and TBV may relate to phenomenological drift, differences in analytic techniques, and possibly the "file drawer problem".</p

    Classification of bipolar disorder in psychiatric hospital. a prospective cohort study

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    <p>Abstract</p> <p>Background</p> <p>This study has explored the classification of bipolar disorder in psychiatric hospital. A review of the literature reveals that there is a need for studies using stringent methodological approaches.</p> <p>Methods</p> <p>480 first-time admitted patients to psychiatric hospital were found eligible and 271 of these gave written informed consent. The study sample was comprised of 250 patients (52%) with hospital diagnoses. For the study, expert diagnoses were given on the basis of a structured diagnostic interview (M.I.N.I.PLUS) and retrospective review of patient records.</p> <p>Results</p> <p>Agreement between the expert's and the clinicians' diagnoses was estimated using Cohen's kappa statistics. 76% of the primary diagnoses given by the expert were in the affective spectrum. Agreement concerning these disorders was moderate (kappa ranging from 0.41 to 0.47). Of 58 patients with bipolar disorder, only 17 received this diagnosis in the clinic. Almost all patients with a current manic episode were classified as currently manic by the clinicians. Forty percent diagnosed as bipolar by the expert, received a diagnosis of unipolar depression by the clinician. Fifteen patients (26%) were not given a diagnosis of affective disorder at all.</p> <p>Conclusions</p> <p>Our results indicate a considerable misclassification of bipolar disorder in psychiatric hospital, mainly in patients currently depressed. The importance of correctly diagnosing bipolar disorder should be emphasized both for clinical, administrative and research purposes. The findings questions the validity of psychiatric case registers. There are potential benefits in structuring the diagnostic process better in the clinic.</p

    Clinical and demographic differences between patients with manic, depressive and schizophrenia-spectrum psychoses presenting to Early Intervention Services in London

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    AIM: To investigate the relationship between the presenting clinical and demographic characteristics in first-episode psychosis (FEP) patients with their clinical diagnostic grouping 1 year later. METHODS: Data from 1014 first-presentation psychosis patients from seven London-based Early Intervention Services were extracted from the MiData audit database. Associations between clinical and demographic measures at presentation and clinical diagnosis made at 1 year were assessed with analysis of variance (ANOVA) and Chi-square tests. RESULTS: The sample comprised 76% of patients with schizophrenia-spectrum diagnoses, 9% with manic psychoses (MP) and 6% with depressive psychoses. Compared to the other 2 groups, patients who were diagnosed as having MP were younger, with higher education and shorter duration of untreated psychosis, and had higher Young Mania Rating Scale scores at presentation and lower Positive and Negative Syndrome Scale (PANSS) negative scores. Patients diagnosed at 1 year as having depressive psychosis were older and more likely to be white, with the lowest PANSS positive scores at baseline. Patients diagnosed at 1 year as having schizophrenia spectrum diagnoses were more likely to be males. Patients in the 3 diagnostic subgroups of psychosis differed on both clinical and demographic characteristics at presentation. CONCLUSIONS: There were significant clinical and demographic differences at presentation between FEP patients who received different clinical diagnoses at 1 year. Future work should determine the extent to which these differences can be used to guide clinical care

    Biomarkers of a five-domain translational substrate for schizophrenia and schizoaffective psychosis

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    Group cognitive behavior therapy for bipolar disorder can improve the quality of life

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    Bipolar disorder (BD) can have an impact on psychosocial functioning and quality of life (QoL). Several studies have shown that structured psychotherapy in conjunction with pharmacotherapy may modify the course of some disorders; however, few studies have investigated the results of group cognitive behavior therapy (G-CBT) for BD. Our objective was to evaluate the effectiveness of 14 sessions of G-CBT for BD patients, comparing this intervention plus pharmacotherapy to treatment as usual (TAU; only pharmacotherapy). Forty-one patients with BD I and II participated in this study and were randomly allocated to each group (G-CBT: N = 27; TAU: N = 14). Thirty-seven participants completed the treatment (women: N = 66.67%; mean age = 41.5 years). QoL and mood symptoms were assessed in all participants. Scores changed significantly by the end of treatment in favor of the G-CBT group. The G-CBT group presented significantly better QoL in seven of the eight sub-items assessed with the Medical Outcomes Survey SF-36 scale. At the end of treatment, the G-CBT group exhibited lower scores for mania (not statistically significant) and depression (statistically significant) as well as a reduction in the frequency and duration of mood episodes (P < 0.01). The group variable was significant for the reduction of depression scores over time. This clinical change may explain the improvement in six of the eight subscales of QoL (P < 0.05). The G-CBT group showed better QoL in absolute values in all aspects and significant improvements in nearly all subscales. These results were not observed in the TAU control group
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