Centre for Youth Mental Health - Research Publications
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ItemPerceptual abnormalities in an ultra-high risk for psychosis population relationship to trauma and co-morbid disorder(WILEY, 2019-04)AIMS: The aims of this study were 3-fold. We wished to investigate whether at baseline entry to an ultra-high risk (UHR) clinic whether: (1) perceptual abnormalities are more prevalent in those young people with co-morbid psychiatric diagnoses, (2) perceptual abnormalities are more prevalent in those young people with histories of childhood adversity (childhood trauma, bullying) and (3) perceptual abnormality type is associated with co-morbid psychiatric diagnoses or histories of childhood adversity. METHODS: In a sample of 118 UHR patients we investigated the relationship between perceptual abnormalities and non-psychotic diagnoses and adverse life events at entry to a UHR clinic. RESULTS: Depressive disorder at baseline was associated with increased odds of experiencing perceptual abnormalities (OR 3.59, P = .004), particularly visual perceptual abnormalities (OR 2.36, P = .02). Borderline personality disorder at baseline was associated with increased odds of any auditory perceptual abnormalities (OR 3.44, P = .04) and specifically second person perceptual abnormalities (OR 2.69, P = .04). A history of childhood trauma and childhood bullying were both associated with increased odds of experiencing perceptual abnormalities at baseline (trauma OR 6.30, P < .001; bullying OR 5.00, P = .01). CONCLUSIONS: Our findings suggest that in the UHR population, certain types of perceptual abnormalities index risk for co-morbid non-psychotic disorder and indicate prior experience of childhood trauma. The use of detailed phenomenology of psychotic symptoms can help to shape our understanding of risk in UHR patients.
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ItemRelationship Between Polyunsaturated Fatty Acids and Psychopathology in the NEURAPRO Clinical Trial(FRONTIERS MEDIA SA, 2019-06-06)Background: Deficiencies in membrane polyunsaturated fatty acids (PUFA) such as omega-3 (n-3) fatty acids are thought to contribute to the pathophysiological processes underlying psychotic disorders. Emerging evidence suggests that the levels of PUFA are related to clinical symptoms but significant heterogeneity exists between studies. Here, we investigated associations of membrane PUFA with clinical symptoms and functioning in a large sample of individuals at ultra-high risk (UHR) for psychosis. Methods: A total of 285 participants of the NEURAPRO clinical trial were investigated for erythrocyte PUFA levels, including the n-3 index, n-6/n-3 PUFA ratio, docosahexaenoic acid (DHA), and eicosapentaenoic acid (EPA). Severity of general psychopathology [Brief Psychiatric Rating Scale (BPRS)], psychotic symptoms (BPRS psychosis subscale), negative symptoms [Scale for the Assessment of Negative Symptoms (SANS)], manic symptoms [Young Mania Rating Scale (YMRS)], depressive symptoms [Montgomery Asberg Depression Rating Scale (MADRS)], and functioning [Social and Occupational Functioning Scale (SOFAS), Global Functioning Social (GF-S) and Role (GF-R) scales] were assessed concurrently. Partial correlation taking into account the effects of gender, age, and smoking was used to examine the relationship between PUFAs and symptoms severity. Results: The n-3 index negatively correlated with the severity of general psychopathology, psychotic symptoms, depressive symptoms, and manic symptoms. The n-6/n-3 PUFA ratio positively correlated with severity of psychotic and depressive symptoms. The n-3 PUFA DHA negatively correlated with the severity of general psychopathology, positive, manic, and depressive symptoms. EPA negatively correlated with manic symptoms. Nervonic acid, an n-9 monounsaturated fatty acid, positively correlated with general psychopathology, positive and negative symptoms, depressive symptoms, and manic symptoms. The long-chain saturated fatty acid tetracosanoic acid positively correlated with general psychopathology, positive, manic, and depressive symptoms. Conclusions: Partially consistent with a previous study, psychotic symptoms, depressive symptoms, and symptoms of mania were associated with several classes of FAs in the present study. These findings support the relevance of membrane fatty acids for the onset of psychotic symptoms and indicate that FAs should be further evaluated as biomarkers in the UHR for psychosis group. Clinical Trial Registration: ANZCTR, identifier: 12608000475347.
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ItemIndividualized Prediction of Transition to Psychosis in 1,676 Individuals at Clinical High Risk: Development and Validation of a Multivariable Prediction Model Based on Individual Patient Data Meta-Analysis(FRONTIERS MEDIA SA, 2019-05-21)Background: The Clinical High Risk state for Psychosis (CHR-P) has become the cornerstone of modern preventive psychiatry. The next stage of clinical advancements rests on the ability to formulate a more accurate prognostic estimate at the individual subject level. Individual Participant Data Meta-Analyses (IPD-MA) are robust evidence synthesis methods that can also offer powerful approaches to the development and validation of personalized prognostic models. The aim of the study was to develop and validate an individualized, clinically based prognostic model for forecasting transition to psychosis from a CHR-P stage. Methods: A literature search was performed between January 30, 2016, and February 6, 2016, consulting PubMed, Psychinfo, Picarta, Embase, and ISI Web of Science, using search terms ("ultra high risk" OR "clinical high risk" OR "at risk mental state") AND [(conver* OR transition* OR onset OR emerg* OR develop*) AND psychosis] for both longitudinal and intervention CHR-P studies. Clinical knowledge was used to a priori select predictors: age, gender, CHR-P subgroup, the severity of attenuated positive psychotic symptoms, the severity of attenuated negative psychotic symptoms, and level of functioning at baseline. The model, thus, developed was validated with an extended form of internal validation. Results: Fifteen of the 43 studies identified agreed to share IPD, for a total sample size of 1,676. There was a high level of heterogeneity between the CHR-P studies with regard to inclusion criteria, type of assessment instruments, transition criteria, preventive treatment offered. The internally validated prognostic performance of the model was higher than chance but only moderate [Harrell's C-statistic 0.655, 95% confidence interval (CIs), 0.627-0.682]. Conclusion: This is the first IPD-MA conducted in the largest samples of CHR-P ever collected to date. An individualized prognostic model based on clinical predictors available in clinical routine was developed and internally validated, reaching only moderate prognostic performance. Although personalized risk prediction is of great value in the clinical practice, future developments are essential, including the refinement of the prognostic model and its external validation. However, because of the current high diagnostic, prognostic, and therapeutic heterogeneity of CHR-P studies, IPD-MAs in this population may have an limited intrinsic power to deliver robust prognostic models.
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ItemNEURAPRO: a multi-centre RCT of omega-3 polyunsaturated fatty acids versus placebo in young people at ultra-high risk of psychotic disorders-medium-term follow-up and clinical course.(Springer Science and Business Media LLC, 2018-06-25)This study reports a medium-term follow-up of a randomised, double-blind, placebo-controlled trial of omega-3 polyunsaturated fatty acids (PUFA) in ultra-high risk for psychosis (UHR) patients. Primary outcomes of interest were transition to psychosis and symptomatic and functional outcome. A secondary aim was to investigate clinical predictors of medium-term outcome. Three hundred four UHR participants were recruited across 10 specialised early psychosis services in Australia, Asia, and Europe. The intervention consisted of 1.4 g/daily of omega-3 PUFA or placebo, plus up to 20 sessions of cognitive-behavioural case management (CBCM), over the 6-month study period, with participants receiving further CBCM sessions on basis of need between months 6-12. Mean time to follow-up was 3.4 (median = 3.3; SD = 0.9) years. There was a modest increase in transitions between 12-month and medium-term follow-up (11-13%) and substantial improvement in symptoms and functioning between baseline and follow-up, with no differences between the treatment groups. Most improvement had been achieved by end of the intervention. 55% of the sample received mental health treatment between end of intervention and follow-up. Omega-3 PUFA did not provide additional benefits to good quality psychosocial intervention over the medium term. Although most improvement had been achieved by end of intervention the substantial rates of post-intervention mental health service use indicate longer-term clinical need in UHR patients. The post-intervention phase treatment or the longer-term effect of CBCM, or a combination of the two, may have contributed to maintaining the gains achieved during the intervention phase and prevented significant deterioration after this time.
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ItemLongitudinal determinants of client treatment satisfaction in an intensive first-episode psychosis treatment programme(WILEY, 2017-08)AIM: Previous evidence demonstrates that higher treatment satisfaction is strongly associated with improved clinical outcomes and functioning. The aim of the current study is to explore potential associations between clinical and demographic attributes, as well as changes in role, social and cognitive functioning occurring over the course of treatment, on self-reported treatment satisfaction within the context of an intensive first-episode psychosis intervention programme. METHODS: Forty-four young adults attending a first-episode psychosis treatment programme completed a battery of clinical and neuropsychological measures at intake to the programme and again after 6 months of treatment. A modified version of the Client Satisfaction Questionnaire was administered at 6 months. Baseline, 6-month and change scores across the clinical and demographic measures were examined relative to the satisfaction questionnaire to evaluate determinants of treatment satisfaction. RESULTS: Better premorbid adjustment during childhood and early adolescence was associated with higher treatment satisfaction, as did positive changes in clients' cognitive performance and their use of humour as a coping strategy. Clients' use of emotional support as a coping strategy at 6 months was also positively associated with treatment satisfaction. Although clients' social and role functioning improved significantly during the 6-month treatment window, changes in functional outcomes were not significantly associated with treatment satisfaction. CONCLUSIONS: The current study highlights the role of premorbid adjustment and changes in coping and neurocognition as factors influencing treatment satisfaction. Future research designs might be able to more specifically ascertain causal relationships between patient characteristics, treatment components, client satisfaction and clinical effects.
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ItemNo Preview AvailableUsing clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis(ELSEVIER, 2017-06)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.