PRESCIENT
Research type
Research Study
Full title
Trajectories and Predictors in the Clinical High Risk for Psychosis Population: Prediction Scientific Global Consortium (PRESCIENT)
IRAS ID
302626
Contact name
Matthew Broome
Contact email
Sponsor organisation
University of Birmingham
Duration of Study in the UK
4 years, 1 months, 31 days
Research summary
People at ultra-high risk (UHR) for psychosis have a higher risk of developing a psychotic disorder than the general population because of particular symptoms and/or family history. For some people, these early symptoms may get worse over time. For others, the symptoms may stay the same, decrease or go away entirely. PRESCIENT, which is funded by the National Institute of Mental Health US, aims to understand the different courses (‘trajectories’) of symptoms in young people who may be at risk of developing psychosis, to predict these different courses early on, and to match treatments to each course.
The study will recruit 1,102 young people across Australia, Asia and Europe over a 2-year period. PRESCIENT participants will include 937 young people, aged 12-30 years, who may be at risk of their symptoms becoming more severe to the point that a psychotic disorder is diagnosed (UHR group). The study will also include a healthy control (HC) group who have not experienced mental health concerns.
Multimodal data (clinical, biological, genetic, neurocognitive, neurophysiological, neuroimaging) will be collected through repeat assessments over time and day-to-day data through digital platforms. The UHR group will be followed up for 24 months at regular intervals and the HC group will be assessed at baseline, with a subset also receiving repeat assessments at 2-months.
The primary outcome is conversion to psychotic disorder by 24-month follow up. Secondary outcomes of interest are: remission, recovery and relapse of UHR status, psychosocial functioning, persistent and incident non-psychotic disorders (e.g. Depression and Anxiety), and persistent negative symptoms (e.g. withdrawal, blunted emotion).
It is hoped the study will enable researchers to develop algorithms that predict the course of illness for clinical high risk individuals, allowing for early intervention and testing of treatments that may prevent the development of psychotic disorders and reduce their impact.REC name
London - City & East Research Ethics Committee
REC reference
22/LO/0432
Date of REC Opinion
15 Jun 2022
REC opinion
Favourable Opinion