Clinical and neurocognitive profiles of a combined clinical high risk for psychosis and clinical control sample: latent class analysis
2024

Clinical Profiles of Psychosis Risk in Youth

Sample size: 875 publication 10 minutes Evidence: high

Author Information

Author(s): Stüble Miriam, Schultze-Lutter Frauke, Kaess Michael, Franscini Maurizia, Traber-Walker Nina, Walger Petra, Schimmelmann Benno G., Vogeley Kai, Kambeitz Joseph, Kindler Jochen, Michel Chantal

Primary Institution: University Hospital of Child and Adolescent Psychiatry and Psychotherapy Bern, University of Bern, Switzerland

Hypothesis

Can a broader spectrum of clinical high-risk symptoms, including basic symptoms, help identify distinct clinical profiles in youth at risk for psychosis?

Conclusion

The study identified three distinct clinical profiles based on basic and (attenuated) psychotic symptoms, which could guide future interventions.

Supporting Evidence

  • The study found that basic symptoms significantly differentiated between clinical profiles.
  • Class 2 had the highest transition rate to psychosis at 55.1%.
  • Participants in Class 1 had the lowest rates of psychopathology and neurocognitive deficits.

Takeaway

This study looked at young people who might develop serious mental health issues and found different groups based on their symptoms, which can help doctors know how to treat them better.

Methodology

Latent class analysis was used to identify clinical profiles based on CHR symptoms, with assessments conducted on 875 patients from specialized early intervention centers.

Potential Biases

Potential center effects due to data being collected from three different centers.

Limitations

The study did not control for ongoing treatments and used cross-sectional data, limiting conclusions about the course of subgroups.

Participant Demographics

Participants were aged 8 to 40 years, with a mean age of 17.72 years, and 50.4% were female.

Statistical Information

P-Value

p<0.001

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1192/bjo.2024.815

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