Centre for Youth Mental Health - Research Publications

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    Combining Clinical With Cognitive or Magnetic Resonance Imaging Data for Predicting Transition to Psychosis in Ultra High-Risk Patients: Data From the PACE 400 Cohort.
    Hartmann, S ; Cearns, M ; Pantelis, C ; Dwyer, D ; Cavve, B ; Byrne, E ; Scott, I ; Yuen, HP ; Gao, C ; Allott, K ; Lin, A ; Wood, SJ ; Wigman, JTW ; Amminger, GP ; McGorry, PD ; Yung, AR ; Nelson, B ; Clark, SR (Elsevier BV, 2024-04)
    BACKGROUND: Multimodal modeling that combines biological and clinical data shows promise in predicting transition to psychosis in individuals who are at ultra-high risk. Individuals who transition to psychosis are known to have deficits at baseline in cognitive function and reductions in gray matter volume in multiple brain regions identified by magnetic resonance imaging. METHODS: In this study, we used Cox proportional hazards regression models to assess the additive predictive value of each modality-cognition, cortical structure information, and the neuroanatomical measure of brain age gap-to a previously developed clinical model using functioning and duration of symptoms prior to service entry as predictors in the Personal Assessment and Crisis Evaluation (PACE) 400 cohort. The PACE 400 study is a well-characterized cohort of Australian youths who were identified as ultra-high risk of transitioning to psychosis using the Comprehensive Assessment of At Risk Mental States (CAARMS) and followed for up to 18 years; it contains clinical data (from N = 416 participants), cognitive data (n = 213), and magnetic resonance imaging cortical parameters extracted using FreeSurfer (n = 231). RESULTS: The results showed that neuroimaging, brain age gap, and cognition added marginal predictive information to the previously developed clinical model (fraction of new information: neuroimaging 0%-12%, brain age gap 7%, cognition 0%-16%). CONCLUSIONS: In summary, adding a second modality to a clinical risk model predicting the onset of a psychotic disorder in the PACE 400 cohort showed little improvement in the fit of the model for long-term prediction of transition to psychosis.
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    A Sequential Adaptive Intervention Strategy Targeting Remission and Functional Recovery in Young People at Ultrahigh Risk of Psychosis The Staged Treatment in Early Psychosis (STEP) Sequential Multiple Assignment Randomized Trial
    McGorry, PD ; Mei, C ; Amminger, GP ; Yuen, HP ; Kerr, M ; Spark, J ; Wallis, N ; Polari, A ; Baird, S ; Buccilli, K ; Dempsey, S-JA ; Ferguson, N ; Formica, M ; Krcmar, M ; Quinn, AL ; Mebrahtu, Y ; Ruslins, A ; Street, R ; Wannan, C ; Dixon, L ; Carter, C ; Loewy, R ; Niendam, TA ; Shumway, M ; Nelson, B (AMER MEDICAL ASSOC, 2023-09)
    IMPORTANCE: Clinical trials have not established the optimal type, sequence, and duration of interventions for people at ultrahigh risk of psychosis. OBJECTIVE: To determine the effectiveness of a sequential and adaptive intervention strategy for individuals at ultrahigh risk of psychosis. DESIGN, SETTING, AND PARTICIPANTS: The Staged Treatment in Early Psychosis (STEP) sequential multiple assignment randomized trial took place within the clinical program at Orygen, Melbourne, Australia. Individuals aged 12 to 25 years who were seeking treatment and met criteria for ultrahigh risk of psychosis according to the Comprehensive Assessment of At-Risk Mental States were recruited between April 2016 and January 2019. Of 1343 individuals considered, 342 were recruited. INTERVENTIONS: Step 1: 6 weeks of support and problem solving (SPS); step 2: 20 weeks of cognitive-behavioral case management (CBCM) vs SPS; and step 3: 26 weeks of CBCM with fluoxetine vs CBCM with placebo with an embedded fast-fail option of ω-3 fatty acids or low-dose antipsychotic medication. Individuals who did not remit progressed through these steps; those who remitted received SPS or monitoring for up to 12 months. MAIN OUTCOMES AND MEASURES: Global Functioning: Social and Role scales (primary outcome), Brief Psychiatric Rating Scale, Scale for the Assessment of Negative Symptoms, Montgomery-Åsberg Depression Rating Scale, quality of life, transition to psychosis, and remission and relapse rates. RESULTS: The sample comprised 342 participants (198 female; mean [SD] age, 17.7 [3.1] years). Remission rates, reflecting sustained symptomatic and functional improvement, were 8.5%, 10.3%, and 11.4% at steps 1, 2, and 3, respectively. A total of 27.2% met remission criteria at any step. Relapse rates among those who remitted did not significantly differ between SPS and monitoring (step 1: 65.1% vs 58.3%; step 2: 37.7% vs 47.5%). There was no significant difference in functioning, symptoms, and transition rates between SPS and CBCM and between CBCM with fluoxetine and CBCM with placebo. Twelve-month transition rates to psychosis were 13.5% (entire sample), 3.3% (those who ever remitted), and 17.4% (those with no remission). CONCLUSIONS AND RELEVANCE: In this sequential multiple assignment randomized trial, transition rates to psychosis were moderate, and remission rates were lower than expected, partly reflecting the ambitious criteria set and challenges with real-world treatment fidelity and adherence. While all groups showed mild to moderate functional and symptomatic improvement, this was typically short of remission. While further adaptive trials that address these challenges are needed, findings confirm substantial and sustained morbidity and reveal relatively poor responsiveness to existing treatments. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02751632.
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    Baseline data of a sequential multiple assignment randomized trial (STEP study)
    Hartmann, JA ; Nelson, B ; Amminger, GP ; Spark, J ; Yuen, HP ; Kerr, MJ ; Polari, A ; Wallis, N ; Blasioli, J ; Dixon, L ; Carter, C ; Loewy, R ; Niendam, TA ; Shumway, M ; McGorry, PD (WILEY, 2022-10)
    AIM: Research has shown that preventative intervention in individuals at ultra-high risk of psychosis (UHR) improves symptomatic and functional outcomes. The staged treatment in early psychosis (STEP) trial aims to determine the most effective type, timing and sequence of interventions in the UHR population by sequentially studying the effectiveness of (1) support and problem solving, (2) cognitive-behavioural case management and (3) antidepressant medication with an embedded fast-fail option of (4) omega-3 fatty acids or low-dose antipsychotic medication. This paper presents the recruitment flow and baseline clinical characteristics of the sample. METHODS: STEP is a sequential multiple assignment randomized trial. We present the baseline demographics, clinical characteristics and acceptability and feasibility of this treatment approach as indicated by the flow of participants from first contact up until enrolment into the trial. Recruitment took place between April 2016 and January 2019. RESULTS: Of 1343, help-seeking young people who were considered for participation, 402 participants were not eligible and 599 declined/disengaged, resulting in a total of 342 participants enrolled in the study. The most common reason for exclusion was an active prescription of antidepressant medication. Eighty-five percent of the enrolled sample had a non-psychotic DSM-5 diagnosis and symptomatic/functional measures showed a moderate level of clinical severity and functional impairment. DISCUSSION: The present study demonstrates the acceptability and participant's general positive appraisal of sequential treatment. It also shows, in line with other trials in UHR individuals, a significant level of psychiatric morbidity and impairment, demonstrating the clear need for care in this group and that treatment is appropriate.
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    Effects of omega-3 polyunsaturated fatty acid supplementation on cognitive functioning in youth at ultra-high risk for psychosis: secondary analysis of the NEURAPRO randomised controlled trial
    Cheng, N ; McLaverty, A ; Nelson, B ; Markulev, C ; Schafer, MR ; Berger, M ; Mossaheb, N ; Schlogelhofer, M ; Smesny, S ; Hicikie, IB ; Berger, GE ; Chen, EYH ; de Haan, L ; Nieman, DH ; Nordentoft, M ; Riecher-Rossler, A ; Verma, S ; Street, R ; Thompson, A ; Yuen, HP ; Hester, R ; Yung, AR ; McGorry, PD ; Allott, K ; Amminger, GP (CAMBRIDGE UNIV PRESS, 2022-09-08)
    BACKGROUND: Cognitive impairments are well-established features of psychotic disorders and are present when individuals are at ultra-high risk for psychosis. However, few interventions target cognitive functioning in this population. AIMS: To investigate whether omega-3 polyunsaturated fatty acid (n-3 PUFA) supplementation improves cognitive functioning among individuals at ultra-high risk for psychosis. METHOD: Data (N = 225) from an international, multi-site, randomised controlled trial (NEURAPRO) were analysed. Participants were given omega-3 supplementation (eicosapentaenoic acid and docosahexaenoic acid) or placebo over 6 months. Cognitive functioning was assessed with the Brief Assessment of Cognition in Schizophrenia (BACS). Mixed two-way analyses of variance were computed to compare the change in cognitive performance between omega-3 supplementation and placebo over 6 months. An additional biomarker analysis explored whether change in erythrocyte n-3 PUFA levels predicted change in cognitive performance. RESULTS: The placebo group showed a modest greater improvement over time than the omega-3 supplementation group for motor speed (ηp2 = 0.09) and BACS composite score (ηp2 = 0.21). After repeating the analyses without individuals who transitioned, motor speed was no longer significant (ηp2 = 0.02), but the composite score remained significant (ηp2 = 0.02). Change in erythrocyte n-3 PUFA levels did not predict change in cognitive performance over 6 months. CONCLUSIONS: We found no evidence to support the use of omega-3 supplementation to improve cognitive functioning in ultra-high risk individuals. The biomarker analysis suggests that this finding is unlikely to be attributed to poor adherence or consumption of non-trial n-3 PUFAs.
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    Preventive interventions for individuals at ultra high risk for psychosis: An updated and extended meta-analysis
    Mei, C ; van der Gaag, M ; Nelson, B ; Smit, F ; Yuen, HP ; Berger, M ; Krcmar, M ; French, P ; Amminger, GP ; Bechdolf, A ; Cuijpers, P ; Yung, AR ; McGorry, PD (PERGAMON-ELSEVIER SCIENCE LTD, 2021-06)
    Intervention at the earliest illness stage, in ultra or clinical high-risk individuals, or indicated prevention, currently represents the most promising strategy to ameliorate, delay or prevent psychosis. We review the current state of evidence and conduct a broad-spectrum meta-analysis of various outcomes: transition to psychosis, attenuated positive and negative psychotic symptoms, mania, depression, anxiety, general psychopathology, symptom-related distress, functioning, quality of life, and treatment acceptability. 26 randomized controlled trials were included. Meta-analytically pooled interventions reduced transition rate (risk ratio [RR] = 0.57, 95%CI 0.41-0.81) and attenuated positive psychotic symptoms at 12-months (standardized mean difference = -0.15, 95%CI = -0.28--0.01). When stratified by intervention type (pharmacological, psychological), only the pooled effect of psychological interventions on transition rate was significant. Cognitive behavioral therapy (CBT) was associated with a reduction in incidence at 12-months (RR = 0.52, 95%CI = 0.33-0.82) and 18-48-months (RR = 0.60, 95%CI = 0.42-0.84), but not 6-months. Findings at 12-months and 18-48-months were robust in sensitivity and subgroup analyses. All other outcomes were non-significant. To date, effects of trialed treatments are specific to transition and, a lesser extent, attenuated positive symptoms, highlighting the future need to target other symptom domains and functional outcomes. Sound evidence supports CBT in reducing transition and the value of intervening at this illness stage. STUDY REGISTRATION: Research Registry ID: reviewregistry907.
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    The association between migrant status and transition in an ultra-high risk for psychosis population
    O'Donoghue, B ; Geros, H ; Sizer, H ; Addington, J ; Amminger, GP ; Beaden, CE ; Cadenhead, KS ; Cannon, TD ; Cornblatt, BA ; Berger, GE ; Chen, EYH ; de Haan, L ; Hartmann, JA ; Hickie, IB ; Ising, HK ; Lavoie, S ; Lin, A ; Markulev, C ; Mathalon, DH ; McGlashan, TH ; Mifsud, NG ; Mossaheb, N ; Nieman, DH ; Nordentoft, M ; Perkins, DO ; Riecher-Roessler, A ; Schaefer, MR ; Schloegelhofer, M ; Seidman, LJ ; Smesny, S ; Thompson, A ; Tsuang, MT ; van der Gaag, M ; Verma, S ; Walker, EF ; Wood, SJ ; Woods, SW ; Yuen, HP ; Yung, AR ; McGorry, PD ; Nelson, B (SPRINGER HEIDELBERG, 2021-06)
    PURPOSE: Migrant status is one of the most replicated and robust risk factors for developing a psychotic disorder. This study aimed to determine whether migrant status in people identified as Ultra-High Risk for Psychosis (UHR) was associated with risk of transitioning to a full-threshold psychotic disorder. METHODS: Hazard ratios for the risk of transition were calculated from five large UHR cohorts (n = 2166) and were used to conduct a meta-analysis using the generic inverse-variance method using a random-effects model. RESULTS: 2166 UHR young people, with a mean age of 19.1 years (SD ± 4.5) were included, of whom 221 (10.7%) were first-generation migrants. A total of 357 young people transitioned to psychosis over a median follow-up time of 417 days (I.Q.R.147-756 days), representing 17.0% of the cohort. The risk of transition to a full-threshold disorder was not increased for first-generation migrants, (HR = 1.08, 95% CI 0.62-1.89); however, there was a high level of heterogeneity between studies The hazard ratio for second-generation migrants to transition to a full-threshold psychotic disorder compared to the remainder of the native-born population was 1.03 (95% CI 0.70-1.51). CONCLUSIONS: This meta-analysis did not find a statistically significant association between migrant status and an increased risk for transition to a full-threshold psychotic disorder; however, several methodological issues could explain this finding. Further research should focus on examining the risk of specific migrant groups and also ensuring that migrant populations are adequately represented within UHR clinics.
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    Twelve-Month Cognitive Trajectories in Individuals at Ultra-High Risk for Psychosis: A Latent Class Analysis
    Allott, K ; Schmidt, SJ ; Yuen, HP ; Wood, SJ ; Nelson, B ; Markulev, C ; Lavoie, S ; Brewer, WJ ; Schäfer, MR ; Mossaheb, N ; Schlögelhofer, M ; Smesny, S ; Hickie, IB ; Berger, GE ; Chen, EYH ; De Haan, L ; Nieman, DH ; Nordentoft, M ; Riecher-Rössler, A ; Verma, S ; Thompson, A ; Yung, AR ; Amminger, P ; McGorry, PD ; Hartmann, J (Oxford University Press (OUP), 2022-01-01)
    Abstract Understanding longitudinal cognitive performance in individuals at ultra-high risk for psychosis (UHR) is important for informing theoretical models and treatment. A vital step in this endeavor is to determine whether there are UHR subgroups that have similar patterns of cognitive change over time. The aims were to: i) identify latent class trajectories of cognitive performance over 12-months in UHR individuals, ii) identify baseline demographic and clinical predictors of the resulting classes, and iii) determine whether trajectory classes were associated with transition to psychosis or functional outcomes. Cognition was assessed using the Brief Assessment of Cognition in Schizophrenia (BACS) at baseline, 6- and 12-months (N = 288). Using Growth Mixture Modeling, a single unimpaired improving trajectory class was observed for motor function, speed of processing, verbal fluency, and BACS composite. A two-class solution was observed for executive function and working memory, showing one unimpaired and a second impaired class. A three-class solution was found for verbal learning and memory: unimpaired, mildly impaired, and initially extremely impaired, but improved (“caught up”) to the level of the mildly impaired. IQ, omega-3 index, and premorbid adjustment were associated with class membership, whereas clinical variables (symptoms, substance use), including transition to psychosis, were not. Working memory and verbal learning and memory trajectory class membership was associated with functioning outcomes. These findings suggest there is no short-term progressive cognitive decline in help-seeking UHR individuals, including those who transition to psychosis. Screening of cognitive performance may be useful for identifying UHR individuals who may benefit from targeted cognitive interventions.
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    Greater preference for eveningness is associated with negative symptoms in an ultra-high risk for psychosis sample
    Shetty, JJ ; Nicholas, C ; Nelson, B ; McGorry, PD ; Lavoie, S ; Markulev, C ; Schafer, MR ; Thompson, A ; Yuen, HP ; Yung, AR ; Nieman, DH ; de Haan, L ; Amminger, GP ; Hartmann, JA (WILEY, 2021-12)
    AIM: Investigating biological processes in at-risk individuals may help elucidate the aetiological mechanisms underlying psychosis development, refine prediction models and improve intervention strategies. This study examined the associations between sleep disturbances, chronotype, depressive and psychotic symptoms in individuals at ultra-high risk for psychosis. METHODS: A sample of 81 ultra-high risk patients completed clinical interviews and self-report assessments of chronotype and sleep during the Neurapro clinical trial. Mixed regression was used to investigate the cross-sectional associations between symptoms and sleep disturbances/chronotype. RESULTS: Sleep disturbances were significantly associated with increased depressive and attenuated positive psychotic symptoms. Greater preference for eveningness was significantly associated with increased negative symptoms, but not with depressive or attenuated positive psychotic symptoms. CONCLUSION: Sleep disturbances and chronotype may impact the emerging psychopathology experienced by ultra-high risk individuals. Further, the preliminary relationship observed between greater preference for eveningness and negative symptoms offers a unique opportunity to treat negative symptoms through chronobiological approaches.
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    Characterization and prediction of clinical pathways of vulnerability to psychosis through graph signal processing
    Sandini, C ; Zoller, D ; Schneider, M ; Tarun, A ; Armondo, M ; Nelson, B ; Amminger, PG ; Yuen, HP ; Markulev, C ; Schaffer, MR ; Mossaheb, N ; Schlogelhofer, M ; Smesny, S ; Hickie, IB ; Berger, GE ; Chen, EYH ; de Haan, L ; Nieman, DH ; Nordentoft, M ; Riecher-Rossler, A ; Verma, S ; Thompson, A ; Yung, AR ; McGorry, PD ; Van De Ville, D ; Eliez, S (eLIFE SCIENCES PUBL LTD, 2021-09-27)
    Causal interactions between specific psychiatric symptoms could contribute to the heterogenous clinical trajectories observed in early psychopathology. Current diagnostic approaches merge clinical manifestations that co-occur across subjects and could significantly hinder our understanding of clinical pathways connecting individual symptoms. Network analysis techniques have emerged as alternative approaches that could help shed light on the complex dynamics of early psychopathology. The present study attempts to address the two main limitations that have in our opinion hindered the application of network approaches in the clinical setting. Firstly, we show that a multi-layer network analysis approach, can move beyond a static view of psychopathology, by providing an intuitive characterization of the role of specific symptoms in contributing to clinical trajectories over time. Secondly, we show that a Graph-Signal-Processing approach, can exploit knowledge of longitudinal interactions between symptoms, to predict clinical trajectories at the level of the individual. We test our approaches in two independent samples of individuals with genetic and clinical vulnerability for developing psychosis. Novel network approaches can allow to embrace the dynamic complexity of early psychopathology and help pave the way towards a more a personalized approach to clinical care.
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    Broad clinical high-risk mental state (CHARMS): Methodology of a cohort study validating criteria for pluripotent risk
    Hartmann, JA ; Nelson, B ; Spooner, R ; Amminger, GP ; Chanen, A ; Davey, CG ; McHugh, M ; Ratheesh, A ; Treen, D ; Yuen, HP ; McGorry, PD (WILEY, 2019-06)
    AIM: The development of the ultra-high risk (UHR) criteria for psychosis created a new paradigm for the prevention research in psychiatry. Since (1) prevention research faces the challenge of achieving adequate statistical power when focusing on single low-incidence syndromes and (2) early clinical phenotypes are overlapping and non-specific, this study broadens the UHR state beyond psychosis as an outcome. The CHARMS (clinical high at-risk mental state) study aims to prospectively validate a set of trans-diagnostic criteria to identify help-seeking young people at risk of developing a range of serious mental illnesses. METHODS: This paper describes the methodology of the CHARMS study, which involves applying the CHARMS criteria to a cohort of help-seeking young people aged 12 to 25 attending youth mental health services in Melbourne. New referrals meeting the CHARMS criteria are allocated to the CHARMS+ group; referrals not meeting CHARMS threshold are allocated to CHARMS- group (control group); referrals meeting criteria for a full-threshold disorder are excluded. Transition status and clinical and functional outcomes are re-assessed at 6 and 12 months. CONCLUSIONS: This study will be the first to introduce and validate clinical criteria to identify a broader at-risk patient population, which may facilitate young people's access to clinical services and early treatment by reducing the reliance on "caseness" defined according to current diagnostic categories being required for service entry. These criteria may introduce a new, trans-diagnostic approach for understanding risk factors and pathogenic mechanisms that drive the onset of severe mental illness and the next generation of preventive intervention trials.