The factor structure and clinical utility of clinician-rated dimensions of psychosis symptom severity in patients with recent-onset psychosis: Results of a 1-year longitudinal follow-up prospective cohort study
- Jeong, Jae Hoon; Kim, Sung-Wan; Lee, Bong Ju; Kim, Jung Jin; Yu, Je-Chun; Won, Seung-Hee; Lee, Seung-Hwan; Kim, Seung-Hyun; Kang, Shi Hyun; Kim, Euitae; Chung, Young-Chul; Lee, Kyu Young
- Issue Date
- Elsevier BV
- Recent-onset psychosis; DSM-5; Dimensions of psychosis; Schizophrenia subtype
- Psychiatry Research, v.310
- Journal Title
- Psychiatry Research
- The classic subtype classification of schizophrenia has been removed, and DSM-5 now includes the Clinician-Rated Dimensions of Psychosis Symptom Severity (CRDPSS). In the present study, a factor analysis of the CRDPSS was performed, and we assessed whether patient classification using the derived factor structure helps predict the clinical course. The participants were 390 patients with recent-onset psychosis enrolled in the Korean Early Psychosis Cohort Study (KEPS). Two factors were identified: psychotic (including delusions, hallucinations, disorganization, and abnormal psychomotor behavior) and negative-cognitive (including negative symptoms and impaired cognition). Patients were grouped based on the factor structure and changes in clinical course were monitored over 1 year. The negative-cognitive group demonstrated longer duration of untreated psychosis, earlier onset, and a higher rate of psychiatric comorbidities. Baseline Positive and Negative Syndrome Scale (PANSS) total and Clinical Global Impression-Severity (CGI-S) scores were higher in psychotic group, but group differences were not observed after 2 months. Conversely, the PANSS negative scale score was significantly higher in negative-cognitive group throughout follow-up, and CGI-S score was reversed at 12 months. The findings indicate that the factor structure derived herein for the CRDPSS could be helpful for predicting the clinical course of recent-onset psychosis patients.
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- 2. Clinical Science > Department of Psychiatry > 1. Journal Articles
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