Journal article
Negative psychotic symptoms and impaired role functioning predict transition outcomes in the at-risk mental state:A latent class cluster analysis study
LR Valmaggia, D Stahl, AR Yung, B Nelson, P Fusar-Poli, PD McGorry, PK McGuire
Psychological Medicine | Published : 2013
Abstract
Background Many research groups have attempted to predict which individuals with an at-risk mental state (ARMS) for psychosis will later develop a psychotic disorder. However, it is difficult to predict the course and outcome based on individual symptoms scores. Method Data from 318 ARMS individuals from two specialized services for ARMS subjects were analysed using latent class cluster analysis (LCCA). The score on the Comprehensive Assessment of At-Risk Mental States (CAARMS) was used to explore the number, size and symptom profiles of latent classes. Results LCCA produced four high-risk classes, censored after 2 years of follow-up:class 1 (mild) had the lowest transition risk (4.9%). Subj..
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Funding Acknowledgements
We thank the staff and service users of OASIS. Dr Valmaggia was supported by a National Alliance for Research on Schizophrenia and Depression (NARSAD) Young Investigator Award, a Peggy Pollack Research Fellowship from the Psychiatry Research Trust and the ZGuy's and St Thomas' Charitable Foundation. We also thank the National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health at the South London and Maudsley National Health Service (NHS) Foundation Trust and the Institute of Psychiatry, King's College London for their financial support.