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Abstract Background Adverse childhood experiences (ACE) can affect educational attainments, but little is known about their impact on educational achievements in people at clinical high risk of psychosis (CHR). Methods In total, 344 CHR individuals and 67 healthy controls (HC) were recruited as part of the European Community’s Seventh Framework Programme-funded multicenter study the European Network of National Schizophrenia Networks Studying Gene–Environment Interactions (EU-GEI). The brief version of the Child Trauma Questionnaire was used to measure ACE, while educational attainments were assessed using a semi-structured interview. Results At baseline, compared with HC, the CHR group spent less time in education and had higher rates of ACE, lower rates of employment, and lower estimated intelligence quotient (IQ). Across both groups, the total number of ACE was associated with fewer days in education and lower level of education. Emotional abuse was associated with fewer days in education in HC. Emotional neglect was associated with a lower level of education in CHR, while sexual abuse was associated with a lower level of education in HC. In the CHR group, the total number of ACE, physical abuse, and neglect was significantly associated with unemployment, while emotional neglect was associated with employment. Conclusions ACE are strongly associated with developmental outcomes such as educational achievement. Early intervention for psychosis programs should aim at integrating specific interventions to support young CHR people in their educational and vocational recovery. More generally, public health and social interventions focused on the prevention of ACE (or reduce their impact if ACE occur) are recommended.

Introduction Role functioning is key to optimal health and inoculates against life-long inequality. Depression is a leading cause of functional disability. In most cases, improved symptomatology corresponds with improved functioning; however, functioning does not always return to “normal”, despite symptom remission. Furthermore, the relationship between symptom remission and the likelihood of being Not in Employment, Education or Training (NEET) is unknown. Objectives and aim To examine the temporal associations between depression course, functioning, and NEET status in young adults with mental health problems. Methods A prospective and multisite clinical cohort study of young people aged 15–25 years seeking help from a primary mental health service ( n = 448). Participants completed a clinical interview (incl. QIDS-C16) and self-report battery (incl. WHODAS 2.0, employment, education) at baseline which was repeated at 12-month follow-up whilst continuing treatment as usual. Results Remitted depression was significantly associated with improved functioning; however, 12 month functioning was still lower than the normative ranges for age-matched peers. Remittance of depression did not change the likelihood of being NEET. Only 10% of those who were NEET had received vocational support during the study. Conclusion Remittance of depression was associated with improved functioning but it did not reduce the likelihood of being NEET. This may be explained by economic influences or alternatively, a time lag may exist where improvements in functioning do not immediately correspond with reduced NEET rates. Lastly, there may be a scarring effect of depression such that change in NEET status requires an additional intervention to depression treatment. [ABSTRACT FROM AUTHOR]

Omega-3 fatty acid supplementation studies are inconclusive. We performed two intervention studies. The first study (Berger et al 2007) was a double blind, placebo-controlled randomized trial comparing 2g Ethyl-eicosapentaenoic acid (EPA) versus placebo in addition to antipsychotic medication in 79 first episode psychosis patients. Mixed model analysis suggests that EPA augmented first episode psychosis patients respond quicker compared to placebo for time to response (p=0.06). Post hoc analysis for cumulative response rates confirm a higher response rate at week 6 (42.9% versus 17.6% for all subjects, p=.036; 54,2% versus 17.2% for non-affective psychosis, p=.008) that was not significant anymore at week 12 (potential ceiling effect). In the second study (Amminger et al, 2010) using 840mg EPA and 700mg docosahexaenoic acid per day as sole treatment in 81 prodromal adolescents only 1 of 38 UHR adolescents (2.6%) in the EPA/DHA group compared to 8 of 38 (21.1%) prodromal adolescents in the placebo group met exit criteria for psychotic disorder (Chi-square Fisher''s exact test =6.2, df=1, p=0.028; OR=9.9). The change from baseline on the PANSS total symptom score (p=0.006), and the GAF score (p=0.025) were also significant between the treatment groups showing a clinically relevant advantage of EPA/DHA over placebo. Stage of illness may be more relevant for the use of the benign treatments such as omega-3 fatty acids in emerging psychosis and explain previous inconclusive findings. Research designs for future omega-3 fatty acid intervention trials and potential pitfalls will be discussed. [Copyright &y& Elsevier]

Introduction Predicting transition from clinical high risk (CHR) to first episode psychosis has proven difficult. Assessment of oxidative stress biomarkers and the niacin skin flush response (NSFR) may improve prediction accuracy. Objectives To predict transition to psychosis based on combined clinical and blood biomarker. Aims To analyse data from patients in placebo group of a 12-week trial of omega-3 fatty acid supplementation in CHR. Transition likelihood ratios (LRs) for baseline historical risks, clinical assessments (PANSS subscales and total, GAF), NSFR and blood markers (nervonic acid, superoxide dismutase, glutathione) were calculated. Variables with the highest positive and lowest negative LRs were included in an odds ratio form of Bayes’ rule transition prediction models. Model accuracy was calculated by area under the receiver operating curves (AUROC) of each model. Results 1-year transition to psychosis was 28% (n=40). Historical data showed no predictability (sensitivity 30%, specificity 100% (AUROC)=0.688, p=0.085). Clinical assessments alone produced a sensitivity of 30% at a specificity of 95% (AUROC=0.83, p<0.0001). The biomarker panel alone predicted transition with 40% sensitivity and 100% specificity (AUROC=0.73, p=0.03). Combining history and clinical assessment provided no improvement above clinical data alone (sensitivity = 30%, specificity = 100%, AUROC=0.85, p< 0.0001). The combination of history, clinical assessment and biomarkers identified transition with a sensitivity of 60% and specificity of 100% (AUROC=0.87, p< 0.0001). Conclusions Probabilistic models combining biomarkers and clinical data are able to target high-risk subgroups within CHR and may help to personalise treatment. [ABSTRACT FROM AUTHOR]

Background: Age at onset of psychosis (AAO) may be younger in patients with cannabis use disorders (CUD) compared to those without CUD (NCUD). Most previous studies did not control for potential confounders, did not report effect sizes and included mostly adult patients from non-representative samples. Methods: Controlling for relevant confounders, differences in AAO between patients with and without lifetime CUD were analysed in a large epidemiologically based cohort of 606 first-episode psychosis (FEP) patients (age 14 to 29 years) admitted within three years to the Melbourne Early Psychosis Prevention and Intervention Centre. Data were collected from medical files using a standardized scale. Results: Overall, AAO was not significantly different in CUD (n=449; 74.1%) compared to NCUD, neither univariate nor when controlling for gender and premorbid functioning. However, AAO was younger in those with early CUD (starting before age 14) compared to NCUD (F(1)=11.3; p=0.001; partial η2 =0.042). When considering the subgroups of early versus late onset psychosis, AAO was even later in early onset psychosis patients with CUD compared to those with NCUD (F(1)=8.4; p=0.004; partial η2=0.072). These findings were consistent for patients with non-affective psychoses, in those with CUD without other substance use disorders and in those with CUD explicitly starting in the pre-psychotic phase. Notably, 89.1% started cannabis before the onset of psychotic symptoms. Conclusions: CUD starting before age 14 was associated with an earlier AAO at a small effect size, but only in adult onset FEP patients. [ABSTRACT FROM AUTHOR]

Objective: Previous studies on the impact of cannabis use disorders (CU) on outcome in psychosis were mostly based on non-representative samples, have often not controlled for confounders and rarely focused on adolescents. Thus, the aims of the present study were to assess; (i) prevalence of CU; (ii) pre-treatment and baseline differences between CU and those without CU (NCU); and (iii) the impact of baseline and course of CU on 18-month outcomes in a representative cohort of adolescents with early onset first episode psychosis (EOP). Method: The sample comprised 99 adolescents (age 14 to 18) with EOP (onset age 14 to 17), admitted to the Early Psychosis Prevention and Intervention Centre in Australia. Data were collected from medical files using a standardized questionnaire. Results: Prevalence of lifetime CU was 65.7%, baseline CU 53.5%, and persistent CU 26.3%. Baseline CU compared to NCU was associated with higher illness-severity, lower functioning, less insight, lower premorbid functioning and longer duration of untreated psychosis. Compared to both NCU and those who decreased or stopped CU during treatment, only persistent CU was linked to worse outcomes and more service disengagement. Effect sizes were medium controlling for relevant confounders. Medication non-adherence did not explain the link between persistent CU and worse outcome. Conclusions: The prevalence of CU in adolescents with EOP is high, while only persistent CU use was associated with worse outcome with medium effect sizes. Specific needs of adolescent patients with respect to cannabis interventions within integrated care settings should be addressed in future studies. [ABSTRACT FROM AUTHOR]

Introduction: Individuals at Ultra High Risk (UHR) for psychosis typically present with attenuated psychotic symptoms. However it is difficult to predict which individuals will later develop frank psychosis when their mental state is rated in terms of individual symptoms. The objective of the study was to examine the phenomenological structure of the UHR mental state and identify symptom profiles that predict later transition to psychosis. Method: Psychopathological data from a large sample of UHR subjects were analysed using latent class cluster analysis. A total of 318 individuals with a UHR for psychosis. Data were collected from two specialised community mental health services for people at UHR for psychosis: OASIS in London and PACE, in Melbourne. Results: Latent class cluster analysis produced 4 classes: Class 1 - Mild was characterized by lower scores on all the CAARMS items. Subjects in Class 2 - Moderate scored moderately on all CAARMS items and was more likely to be in employment. Those in Class 3 - Moderate-Severe scored moderately-severe on negative symptoms, social isolation and impaired role functioning. Class 4 - Severe was the smallest group and was associated with the most impairment: subjects in this class scored highest on all items of the CAARMS, had the lowest GAF score and were more likely to be unemployed. This group was also characterized by the highest transition rate (41%). Conclusions: Different constellations of symptomatology are associates with varying levels of risk to of transition to psychosis. [ABSTRACT FROM AUTHOR]