Journal article

Trajectories of symptom severity and functioning over a three-year period in a psychosis high-risk sample: A secondary analysis of the Neurapro trial

Jessica A Hartmann, Stefanie J Schmidt, Patrick D McGorry, Maximus Berger, Gregor E Berger, Eric YH Chen, Lieuwe de Haan, Ian B Hickie, Suzie Lavoie, Connie Markulev, Nilufar Mossaheb, Dorien H Nieman, Merete Nordentoft, Andrea Polari, Anita Riecher-Rossler, Miriam R Schafer, Monika Schlogelhofer, Stefan Smesny, Andrew Thompson, Swapna K Verma Show all



The Ultra-High Risk (UHR) for psychosis group is known to be heterogeneous with diverse outcomes. This study aimed to: 1. Identify subclasses of UHR individuals based on trajectories of symptomatic and functional change over time, 2. Identify predictors of these trajectories. A sample of 304 UHR individuals participating in the Neurapro trial were followed over an average of 40 months. All participants received cognitive-behavioural case management (CBCM). Symptomatic and functional profiles were investigated using latent class growth analysis. Multinomial regression was employed to investigate predictors of classes. Identified trajectories showed mostly parallel slopes (i.e. improving sympt..

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Awarded by Stanley Medical Research Institute

Awarded by National Health and Medical Research Council (NHMRC) Australia

Awarded by Senior Principal Research Fellowship from the NHMRC

Awarded by NHMRC Senior Research Fellowships

Awarded by NHMRC Career Development Fellowship

Funding Acknowledgements

This work was supported by Grant 07TGF-1102 from the Stanley Medical Research Institute, a National Health and Medical Research Council (NHMRC) Australia Program Grant (ID: 566529; PDM, IBH, ARY,GPA) and a grant from the Colonial Foundation. JAH is supported by a University of Melbourne Postdoctoral McKenzie Fellowship. PDM was supported by a Senior Principal Research Fellowship from the NHMRC (ID: 1060996); GPA and ARY were supported by NHMRC Senior Research Fellowships (ID: 1080963 and 566593) and BN was supported by a NHMRC Career Development Fellowship (ID: 1027532).