[Prediction of psychosis by stepwise multilevel assessment--the Basel FePsy (Early Recognition of Psychosis)-Project]

Fortschr Neurol Psychiatr. 2013 May;81(5):265-75. doi: 10.1055/s-0033-1335017. Epub 2013 May 21.
[Article in German]

Abstract

Background: We have conducted various studies in Basel with the aim of improving the methods for the early detection of psychosis (Früherkennung von Psychosen, FePsy).

Methods: From 1.3.2000 to 29.2.2004 234 individuals were screened using the Basel Screening Instrument for Psychosis (BSIP). 106 patients were identified as at risk for psychosis; out of these 53 remained in follow-up for up to 7 years (mean 5.4 years). The assessments were done with a specifically developed instrument for history taking, various scales for the psychopathology, assessments of neuropsychology and fine motor functioning, clinical and quantitative EEG, MRI of the brain, laboratory etc.

Results: Based on the BSIP alone, a relatively reliable prediction was possible: 21 (39.6%) of the individuals identified as at risk developed psychosis within the follow-up time. Post-hoc prediction could be improved to 81% by weighting psychopathology and including neuropsychology. Including the other domains obviously allows further improvements of prediction.

Conclusions: The risk for psychosis should be assessed in a stepwise procedure. In a first step, a clinically oriented screening should be conducted. If an at-risk status is found, further assessments in various domains should be done in a specialised centre.

Publication types

  • English Abstract

MeSH terms

  • Adult
  • Data Interpretation, Statistical
  • Disease Progression
  • Early Diagnosis
  • Electroencephalography
  • Female
  • Follow-Up Studies
  • Humans
  • Kaplan-Meier Estimate
  • Magnetic Resonance Imaging
  • Male
  • Predictive Value of Tests
  • Psychiatric Status Rating Scales*
  • Psychomotor Performance
  • Psychotic Disorders / diagnosis*
  • Psychotic Disorders / psychology*
  • Psychotic Disorders / therapy
  • Risk Assessment
  • Socioeconomic Factors