Developing clinical cut-off scores for the university of California San Diego performance-based skills assessment in patients with schizophrenia

摘要

This study aimed to obtain University of California San Diego Performance-based Skill Assessment (UPSA) cutoff scores for the purpose of severity classification and to expand the clinical utility of the UPSA for the evaluation of cognitive function in patients with schizophrenia. In total, 191 patients with schizophrenia were recruited. The UPSA, Positive and Negative Symptom Scale (PANSS), Clinical Global Impression-Schizophrenia Scale (CGI-SCH), and Global Assessment Functioning Scale (GAF) were used for the evaluation. The cognitive symptoms item of the CGI-SCH was used as a reference and the subjects were divided into three groups: mild, moderate, and severe. The sensitivity and specificity of the UPSA were analyzed by receiver operating characteristic curves. There were significant differences in the UPSA, CGI-SCH, PANSS, and GAF scores among the groups. In the mild and moderate groups, a UPSA score of 59 was identified as the optimal cut-off score, and a score of 41 was identified as the optimal cut-off score in the moderate and severe groups. Severity can be classified using the UPSA score as follows: >= 60 for mild, 41-59 for moderate, and <= 40 for severe. The UPSA could be used to assess the degree of daily living dysfunction in patients with schizophrenia.