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.