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Updated: Jun 21, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
The influence of complex psychiatric comorbidities on treatment for clinical high-risk for psychosis: A preliminary
Aubrey M Moe1,2, Henry R Cowan1, Margaret Manges1
1Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, Ohio, USA.
Aim:
Despite increasingly refined tools for identifying individuals at clinical high-risk for psychosis (CHR-P), less is known about the effectiveness of CHR-P interventions. The significant clinical heterogeneity among CHR-P individuals suggests that interventions may need to be personalized during this emerging illness phase. We examined longitudinal trajectories within-persons during treatment to investigate whether baseline factors predict symptomatic and functional outcomes.
Method:
A total of 36 CHR-P individuals were rated on attenuated positive symptoms and functioning at baseline and each week during CHR-P step-based treatment.
Results:
Linear mixed-effects models revealed that attenuated positive symptoms decreased during the study period, while functioning did not significantly change. When examining baseline predictors, a significant group-by-time interaction emerged whereby CHR-P individuals with more psychiatric comorbidities at baseline (indicating greater clinical complexity) improved in functioning during the study period relative to CHR-P individuals with fewer comorbidities.
Conclusion:
Individual differences in clinical complexity may predict functional response during the early phases of CHR-P treatment.
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