The classification of first episode schizophrenia:: a cluster-analytical approach

Objective: This paper examines, using data from the Cantabria First Episode Schizophrenia Study, the usefulness of subdividing, using a cluster analysis technique, this schizophrenia population into subgroups with similar symptoms profiles in terms of SANS and SAPS. Method: Diagnostic characteristics were determined using the Present State Examination (PSE-9) and the SANS/SAPS. Premorbid adjustment was assessed using a scale developed combining the Gittelman and Klein's Scales, and the Goldstein's scales. Social Adjustment was evaluated using the WHO-DAS. In addition clinical histories were used to assess the patients' clinical course. Results: Our schizophrenic patients could be subtyped into four categories: negative, positive non-paranoid, simple and disorganized schizophrenia. There is an absence of significant association between the majority of the variables investigated and the four-cluster model. Conclusion: Even though our sample could be subtyped into different categories, the model does not show predictive power according to the 3-year follow-up data.