PMID- 23442767 OWN - NLM STAT- MEDLINE DCOM- 20140709 LR - 20220310 IS - 1469-8978 (Electronic) IS - 0033-2917 (Linking) VI - 43 IP - 11 DP - 2013 Nov TI - Negative psychotic symptoms and impaired role functioning predict transition outcomes in the at-risk mental state: a latent class cluster analysis study. PG - 2311-25 LID - 10.1017/S0033291713000251 [doi] AB - BACKGROUND: Many research groups have attempted to predict which individuals with an at-risk mental state (ARMS) for psychosis will later develop a psychotic disorder. However, it is difficult to predict the course and outcome based on individual symptoms scores. METHOD: Data from 318 ARMS individuals from two specialized services for ARMS subjects were analysed using latent class cluster analysis (LCCA). The score on the Comprehensive Assessment of At-Risk Mental States (CAARMS) was used to explore the number, size and symptom profiles of latent classes. RESULTS: LCCA produced four high-risk classes, censored after 2 years of follow-up: class 1 (mild) had the lowest transition risk (4.9%). Subjects in this group had the lowest scores on all the CAARMS items, they were younger, more likely to be students and had the highest Global Assessment of Functioning (GAF) score. Subjects in class 2 (moderate) had a transition risk of 10.9%, scored moderately on all CAARMS items and were more likely to be in employment. Those in class 3 (moderate-severe) had a transition risk of 11.4% and scored moderately severe on the CAARMS. Subjects in class 4 (severe) had the highest transition risk (41.2%), they scored highest on the CAARMS, had the lowest GAF score and were more likely to be unemployed. Overall, class 4 was best distinguished from the other classes on the alogia, avolition/apathy, anhedonia, social isolation and impaired role functioning. CONCLUSIONS: The different classes of symptoms were associated with significant differences in the risk of transition at 2 years of follow-up. Symptomatic clustering predicts prognosis better than individual symptoms. FAU - Valmaggia, L R AU - Valmaggia LR AD - King's College London, Institute of Psychiatry, London, UK. FAU - Stahl, D AU - Stahl D FAU - Yung, A R AU - Yung AR FAU - Nelson, B AU - Nelson B FAU - Fusar-Poli, P AU - Fusar-Poli P FAU - McGorry, P D AU - McGorry PD FAU - McGuire, P K AU - McGuire PK LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20130227 PL - England TA - Psychol Med JT - Psychological medicine JID - 1254142 SB - IM MH - Adolescent MH - Adult MH - Age Factors MH - Anhedonia MH - Apathy MH - Aphasia/psychology MH - Cluster Analysis MH - Disease Progression MH - Early Diagnosis MH - Early Medical Intervention MH - Employment/statistics & numerical data MH - Female MH - Humans MH - Male MH - *Prodromal Symptoms MH - Psychotic Disorders/epidemiology/*psychology MH - *Risk Assessment MH - Risk Factors MH - Social Isolation/psychology MH - Unemployment/statistics & numerical data MH - Young Adult EDAT- 2013/02/28 06:00 MHDA- 2014/07/10 06:00 CRDT- 2013/02/28 06:00 PHST- 2013/02/28 06:00 [entrez] PHST- 2013/02/28 06:00 [pubmed] PHST- 2014/07/10 06:00 [medline] AID - S0033291713000251 [pii] AID - 10.1017/S0033291713000251 [doi] PST - ppublish SO - Psychol Med. 2013 Nov;43(11):2311-25. doi: 10.1017/S0033291713000251. Epub 2013 Feb 27.