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Background: Traditionally, research in the ultra-high risk (UHR) for psychosis population has focused on the treatment of existing symptomatology and prevention of transition to psychosis. Recently, there has been an increase in focus on outcomes in individuals who do not transition to psychosis. However, there is a lack of standardised definitions of remission, recovery, recurrence and relapse in UHR, resulting in the inability to generalise and replicate outcomes., Method: The aims of the current study were to develop definitions for remission, recovery, recurrence and relapse, and apply them to a UHR cohort allowing the identification of longitudinal clinical trajectories. Further stratification in broader categories of favourable and unfavourable outcomes was applied. The predictive value of various baseline factors on specific clinical trajectories was also assessed., Results: 17 different trajectories were identified in a cohort of 202 individuals within a 12-month period and classified according to the suggested definitions for recovery (35.7%), remission (7.5%), any recurrence (20%), no remission (17.3%), relapse (4.0%) and transition to psychosis (15.8%). Favourable and unfavourable trajectories represented 43.2% and 57.1% respectively. Long duration of untreated symptoms and high depression scores were associated with unfavourable outcomes., Discussion: It is possible to apply clear definitions of remission, recovery, recurrence, relapse and transition to psychosis to a UHR cohort to evaluate longitudinal clinical trajectories. Acceptance and use of these definitions will help to facilitate comparisons between trials and to improve clinical clarity across the range of available therapeutic options in UHR individuals., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Background: There is evidence to suggest that people with established psychotic disorders show impairments in the mismatch negativity induced by a frequency-deviant sound (fMMN), and that these impairments worsen with the deterioration of psychotic symptoms. This study aimed to test whether individuals at ultra-high risk (UHR) for psychosis show pre-morbid impairments in fMMN, and if so, whether fMMN continues to deteriorate with transition to psychosis., Method: fMMN was recorded in a cohort of UHR individuals (n=42) and compared to healthy controls (n=29). Of the 27 UHR participants who returned for a second EEG session, six participants had transitioned to psychosis by 12-month follow-up (UHR-T) and were compared to the 21 participants who did not transition (UHR-NT)., Results: fMMN amplitude was significantly reduced, relative to healthy controls, in the UHR cohort. Furthermore, UHR-T individuals showed a significant decrease in fMMN amplitude over the period from baseline to post-transition; this reduction was not observed in UHR-NT., Conclusions: These results suggest that fMMN is abnormal in UHR individuals, as has repeatedly been found previously in people with established psychotic disorders. The finding that fMMN impairment worsens with transition to psychosis is consistent with the staging model of psychosis; however, caution must be taken in interpreting these findings, given the extremely small sample size of the UHR-T group., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Inclusion of 'attenuated psychosis syndrome (APS)' in the DSM-5 has been hotly debated because of the concern about stigmatising young patients with a 'psychosis risk' label. This study aimed to investigate whether current labeling terms such as 'at risk mental state', 'ultra-high risk' (UHR) and 'APS' are suitable for people who are at risk of psychosis. This study included 105 subjects (55 patients aged 15-25years who used an early interventional service to prevent psychosis and 50 professionals who worked with them). A questionnaire regarding their opinions about the stigma associated with the above labels and the Mental Health Consumers' Experience of Stigma scale were administered. The patients were less likely than the professionals to agree that there was stigma associated with the terms 'UHR' and 'APS'. Significantly more patients with a family history of psychosis and those who had transitioned to psychosis agreed that there was stigma associated with the term 'UHR' and/or that this term should be changed. Patients who agreed with the negative attitude items for the three labeling terms and the need to change the terms 'UHR' and 'schizophrenia' showed significantly higher scores on the Stigma scale. In conclusion, patients at risk of psychosis may experience less stigma related to labels than expected by professionals, suggesting that mental health professionals may not be able to help patients unless they listen to their views on nosological and treatment issues rather than make assumptions. Previous stigmatising experiences may have strengthened the stigma attached to this label., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Recent studies have reported an association between psychopathology and subsequent clinical and functional outcomes in people at ultra-high risk (UHR) for psychosis. This has led to the suggestion that psychopathological information could be used to make prognostic predictions in this population. However, because the current literature is based on inferences at group level, the translational value of the findings for everyday clinical practice is unclear. Here we examined whether psychopathological information could be used to make individualized predictions about clinical and functional outcomes in people at UHR. Participants included 416 people at UHR followed prospectively at the Personal Assessment and Crisis Evaluation (PACE) Clinic in Melbourne, Australia. The data were analysed using Support Vector Machine (SVM), a supervised machine learning technique that allows inferences at the individual level. SVM predicted transition to psychosis with a specificity of 60.6%, a sensitivity of 68.6% and an accuracy of 64.6% (p<0.001). In addition, SVM predicted functioning with a specificity of 62.5%, a sensitivity of 62.5% and an accuracy of 62.5% (p=0.008). Prediction of transition was driven by disorder of thought content, attenuated positive symptoms and functioning, whereas functioning was best predicted by attention disturbances, anhedonia-asociality and disorder of thought content. These results indicate that psychopathological information allows individualized prognostic predictions with statistically significant accuracy. However, this level of accuracy may not be sufficient for clinical translation in real-world clinical practice. Accuracy might be improved by combining psychopathological information with other types of data using a multivariate machine learning framework., (Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: Glutamatergic dysfunction and altered membrane lipid and energy metabolism have been repeatedly demonstrated in the frontal/prefrontal and anterior cingulate cortex (ACC) in schizophrenia. Though having been already studied in animals, the presumed link between glutamatergic function and structural plasticity has not been investigated directly in the human brain yet. We measured glutamate (Glu), focal energy metabolism, and membrane phospholipid turnover to investigate main pathologies in those key brain regions of schizophrenia., Methods: (1)H- and (31)P-Chemical Shift Imaging (CSI) was combined in a single session to assess Glu and markers of energy (PCr, ATP) and membrane lipid (PME, PDE) metabolism in 31 neuroleptic-naïve first acute onset psychosis patients and 31 matched healthy controls. Multivariate analyses of covariance were used to assess disease effects on Glu and to investigate the impact of Glu alterations on phospholipid and energy metabolites., Results: Glu levels of patients were increased in the frontal and prefrontal cortex bilaterally and in the ACC. Higher Glu was associated with increased left frontal/prefrontal PME and right frontal/prefrontal PDE in patients, which was not observed in healthy controls. In contrast, higher Glu levels were associated with lower PCr or ATP values in the frontal/prefrontal cortex bilaterally and in the right ACC of controls. This was not observed in the right ACC and left frontal/prefrontal cortex of patients., Conclusion: Frontal glutamatergic hyperactivity is disconnected from physiologically regulated energy metabolism and is associated with increased membrane breakdown in right and increased membrane restoration in left frontal and prefrontal cortical regions. As indicated by previous findings, this pathology is likely dynamic during the course of first acute illness and possibly associated with negative symptoms and cognitive impairment. Our findings underline the importance of further research on neuroprotective treatment options during the early acute or even better for the ultra-high risk state of psychotic illness., (Copyright © 2015. Published by Elsevier B.V.)

Background: In much of the world, general practitioners (GPs) are the health professionals most frequently initially contacted when a young person is developing psychosis. However little is known about their expertise in assessing psychosis and its risk., Methods: To assess the diagnostic patterns and treatment practices related to psychosis of GPs working in a range of health care systems, questionnaires were mailed to 12,516 randomly selected GPs in seven countries: Canada, Australia, New Zealand, England, Norway, Austria and the Czech Republic. Sites were defined as gatekeeping or non-gatekeeping, based on the primary care health system in effect at each site. A gatekeeping system (GK) is one which mandates that patients see a GP before in order to be referred to a specialist. By contrast, in a non-gatekeeping (nGK) system, individuals can seek help directly from specialists without authorization by a GP., Results: Twenty-two percent (n=2784) GPs responded to the mailed questionnaire. They reported low prevalence of early psychosis seen in general practice. Using awareness of functional decline as a prognostic sign as a proxy, gatekeeping (GK) GPs were found to be superior in their knowledge of the signs and symptoms of early psychosis than were non-gatekeeping GPs. GP's with less knowledge as to early psychosis were more likely to refer individuals with suspected psychosis to specialists. GP's reported a preference for access to specialized outpatient services as compared with obtaining continuous medical education relevant to early psychosis. The duration of maintenance treatment recommended by GP's was less than that recommended in international guidelines. GP's also underestimated the risk for relapse after a first episode of psychosis., Conclusions: As GPs were largely unaware of features of early psychosis, such as functional decline, this should be the target of educational programs for GP's. However, the incidence of psychosis is low and GP's express a preference for access to appropriate referral over continuing medical education. Therefore, the development of specialized services for the assessment and care of patients who are in the early stages of developing schizophrenia may be warranted.