Psychotic disorders as a framework for precision psychiatry.

Area of Science:

• Psychiatry and Mental Health
• Genomics and Precision Medicine
• Neuroscience and Behavioral Science

Background:

• Individuals with psychotic disorders exhibit significant variations in illness onset, treatment response, and relapse rates.
• Current clinical care for psychotic disorders is largely standardized, failing to account for interindividual differences in outcomes.
• Predicting these outcome variations solely through clinical assessment remains challenging.

Purpose of the Study:

• To review the progress of precision psychiatry in stratifying patients with psychotic disorders.
• To explore the integration of clinical and biological measures for predicting individual patient outcomes.
• To identify challenges in implementing precision psychiatry in clinical practice for psychosis.

Main Methods:

• Review of recent research applying precision psychiatry principles to psychotic disorders.
• Integration of clinical information with diverse biological measures to develop predictive models.
• Analysis of strategies for stratifying patients based on predicted clinical outcomes.

Main Results:

• Emerging models show promise in predicting outcomes for psychotic disorders by combining clinical and biological data.
• Precision psychiatry facilitates a move towards personalized treatment strategies tailored to individual patient needs.
• Significant challenges exist in translating these predictive models into routine clinical practice.

Conclusions:

• Precision psychiatry offers a pathway to improve treatment efficacy for psychotic disorders by personalizing care.
• Further research is needed to refine predictive models and overcome implementation barriers.
• Integrating biological measures with clinical data is crucial for advancing precision in psychosis treatment.