Cardiometabolic Prediction Models for Young People with Psychosis Spectrum Disorders in the UK (Psychosis Metabolic Risk Calculator, PsyMetRiC 2.0): Development, Refinement and External Validation

Key Points

• The developed cardiometabolic prediction models effectively identify metabolic risks in young people with psychosis spectrum disorders.
• Key evidence shows a significant improvement in risk prediction accuracy, with an area under the curve (AUC) of up to 0.85 during external validation.
• Assessment using predictive modeling and validation techniques ensures the reliability of the risk calculator for clinical application.
• Highlights the need for tailored health interventions to address cardiometabolic risk factors among young individuals with psychosis.