Metabolic parameters as possible diagnostic predictors in first-episode psychosis: An exploratory retrospective cohort study

Early Interv Psychiatry. 2022 Nov;16(11):1171-1174. doi: 10.1111/eip.13257. Epub 2021 Nov 22.

Abstract

Aim: Patients in early phases of schizophrenia or mood disorders with psychotic symptoms have a wide array of metabolic abnormalities. We analysed the potential predictive value of uric acid (UA) levels and other metabolic parameters in first-episode psychosis patients to differentiate between non-affective and affective psychosis.

Methods: Retrospective chart review of all patients referenced to a first-episode psychosis unit (n = 149), between 2012 and 2017, with available UA levels. Patients included (n = 37) were compared according to the follow-up diagnosis of schizophrenia or mood disorder.

Results: Mood disorder patients presented higher UA levels (p = .030) and lower fasting blood glucose levels (p = .020) compared with schizophrenia patients. The remaining variables did not show significant intergroup differences.

Conclusions: Findings in this first-episode psychosis cohort support previous evidence suggesting higher UA levels as a predictor of affective psychosis and glucose dysfunction as predictive of schizophrenia. Further studies are needed to explore metabolic parameters as possible diagnostic predictors in first-episode psychosis.

Keywords: early intervention; first-episode psychosis; mood disorders; schizophrenia; uric acid.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cohort Studies
  • Humans
  • Mood Disorders / diagnosis
  • Psychotic Disorders* / diagnosis
  • Retrospective Studies
  • Schizophrenia* / diagnosis