Prediction of Psychosis in Youth at High Clinical Risk
University of California, San Diego · Zucker Hillside Hospital · +6 more institutions
Abstract
To determine the risk of conversion to psychosis and to evaluate a set of prediction algorithms maximizing positive predictive power in a clinical high-risk sample. DESIGN, SETTING, AND PARTICIPANTS: Longitudinal study with a 2 1/2-year follow-up of 291 prospectively identified treatment-seeking patients meeting Structured Interview for Prodromal Syndromes criteria. The patients were recruited and underwent evaluation across 8 clinical research centers as part of the North American Prodrome Longitudinal Study. MAIN OUTCOME MEASURE: Time to conversion to a fully psychotic form of mental illness.
The risk of conversion to psychosis was 35%, with a decelerating rate of transition during the 2 1/2-year follow-up. Five features assessed at baseline contributed uniquely to the prediction of psychosis: a genetic risk for schizophrenia with recent deterioration in functioning, higher levels of unusual thought content, higher levels of suspicion/paranoia, greater social impairment, and a history of substance abuse. Prediction algorithms combining 2 or 3 of these variables resulted in dramatic increases in positive predictive power (ie, 68%-80%) compared with the prodromal criteria alone.
Citation impact
- FWCI
- 57.96
- Percentile
- 100%
- References
- 72
Authors
11Topics & keywords
- Prodrome
- Psychosis
- Schizophrenia (object-oriented programming)
- Psychiatry
- Paranoia
- Predictive power
- Psychology
- Context (archaeology)
- Good health and well-being