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 analys is technique, this schizophrenia population into subgroups with similar sym ptoms 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 us ing a scale developed combining the Gittelman and Klein's Scales, and the G oldstein's scales. Social Adjustment was evaluated using the WHO-DAS. In ad dition 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. Th ere is an absence of significant association between the majority of the va riables investigated and the four-cluster model. Conclusion: Even though our sample could be subtyped into different categor ies, the model does not show predictive power according to the 3-year follo w-up data.