Adverse Short‐Term Cardiometabolic Outcomes in Psychosis Early Intervention Services: Which Risk Prediction Algorithm?
PsyMetRiC is likely to be better than alternatives at predicting short-term cardiometabolic changes in early psychosis, particularly in patients aged 16-35. Stakeholder engagement is now required to co-decide 'high-risk' thresholds and intervention strategies to reduce the cardiometabolic impacts of psychosis and its treatment.
Authors
- Benjamin I. Perry (ORCID: https://orcid.org/0000-0002-1533-026X)
- Liliana Galindo (ORCID: https://orcid.org/0000-0002-2396-4772)
- Mao Fong Lim (ORCID: https://orcid.org/0000-0003-3293-2219)
- James L. Hughes (ORCID: https://orcid.org/0009-0000-3694-1759)
- Ashwin Moothedath Asok
Institutions
- University of Cambridge (GB)
- NHS Greater Glasgow and Clyde (GB)
- Centre for Mental Health (GB)
- Cambridgeshire and Peterborough NHS Foundation Trust (GB)
- Birmingham Women’s and Children’s NHS Foundation Trust (GB)
- University of Birmingham (GB)
Publication Details
- Journal
- Early Intervention in Psychiatry
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1111/eip.70116
- Primary Topic
- Schizophrenia research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute for Health and Care Research
- Department of Health and Social Care