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Updated: Feb 6, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Maladaptive personality traits in patients identified at lower-risk and higher-risk for psychosis
Lauren Drvaric1, R Michael Bagby2, Michael Kiang3
1Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.
Abstract:
The 'at-risk' state for psychosis is a high-risk paradigm that examines factors that contribute to conversion to a first episode of psychosis. Although a multitude of contributing factors have been identified in one's susceptibility to conversion to psychosis, dimensional pathological personality traits have not been examined in 'at-risk' populations. In this study we examine lower- versus higher-risk for psychosis using traits from the DSM-5 Alternative Dimensional Model of Personality Disorders (AMPD) to investigate which AMPD personality traits distinguish those 'at-risk' patients at relatively lower-risk for conversion to psychosis versus those at higher-risk. Remitted schizophrenic patients served as the comparison group. MANOVA analyses revealed significant group differences on the PID-5, with the higher-risk patients scoring higher on two of the five AMPD trait domains - Negative Affectivity and Detachment - compared to lower-risk patients. Maladaptive personality traits from the AMPD may serve as potential risk factor for conversion to psychosis.
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