Journal article

Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis

Andrea Mechelli, Ashleigh Lin, Stephen Wood, Patrick McGorry, Paul Amminger, Stefania Tognin, Philip McGuire, Jonathan Young, Barnaby Nelson, Alison Yung

SCHIZOPHRENIA RESEARCH | ELSEVIER | Published : 2017

Abstract

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..

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Grants

Awarded by National Health and Medical Research Council (NHMRC)


Awarded by Medical Research Council


Awarded by NHMRC


Funding Acknowledgements

We acknowledge the funding support of National Health and Medical Research Council (NHMRC) Program grants 350241 and 566529 and the Colonial Foundation. Dr. Mechelli was supported by the Medical Research Council (ID99859), Dr. Lin was supported by an NHMRC Early Career Fellowship (1072593), Dr. Nelson was supported by an NHMRC Career Development Fellowship (1027532), Dr. Wood was supported by an NHMRC Clinical Career Developmental Award (359223), and Dr. Yung was supported by an NHMRC Senior Research Fellowship (566593). The authors would like to thank Mathilde Antoniades for supporting the statistical analysis of the data.