PMID- 38351643
OWN - NLM
STAT- Publisher
LR  - 20240214
IS  - 1751-7893 (Electronic)
IS  - 1751-7885 (Linking)
DP  - 2024 Feb 13
TI  - Identification of distinct clinical profiles and trajectories in individuals at 
      high risk of developing psychosis: A latent profile analysis of the north 
      American prodrome longitudinal study consortium-3 dataset.
LID - 10.1111/eip.13514 [doi]
AB  - AIM: People at clinical high risk (CHR) for psychosis are a heterogeneous 
      population in regard to clinical presentation and outcome. It is unclear, 
      however, if their baseline clinical characteristics can be used to construct 
      orthogonal subgroups that differ in their clinical trajectory to provide early 
      identification of individuals in need of tailored interventions. METHODS: We used 
      latent profile analysis (LPA) to determine the number of distinct clinical 
      profiles within the CHR population using the NAPLS-3 dataset, focusing on the 
      clinical features incorporated in the NAPLS psychosis risk calculator (including 
      age, unusual thought content and suspiciousness, processing speed, verbal 
      learning and memory function, social functioning decline, life events, childhood 
      trauma, and family history of psychosis). We then conducted a between-profile 
      comparisons of clinical trajectories based on psychotic and depressive symptoms 
      as well as substance use disorder (SUD) related features over time. RESULTS: Two 
      distinct profiles emerged. One profile, comprising approximately 25% of the 
      sample, was significantly older, displayed better cognitive performance, 
      experienced more types of traumatic and undesirable life events, exhibited a 
      greater decline in functioning in the past year, and was more likely to have 
      relatives with psychosis. This group showed worse positive symptoms and 
      SUD-related features over time, although groups did not differ in the proportion 
      of individuals who developed psychosis. CONCLUSIONS: LPA results suggest CHRs can 
      be segregated into two profiles with different clinical trajectories. 
      Characterizing individuals within these clinical profiles may help understand the 
      divergent outcomes of this population and ultimately facilitate the development 
      of specialized interventions.
CI  - (c) 2024 John Wiley & Sons Australia, Ltd.
FAU - Berge, Daniel
AU  - Berge D
AUID- ORCID: 0000-0003-2544-1016
AD  - Hospital del Mar Research Institute; Centro de Investigacion Biomedica en Red, 
      Area de Salud Mental (CIBERSAM), Pompeu Fabra University, Barcelona, Spain.
FAU - Carter, Cameron S
AU  - Carter CS
AD  - Department of Psychiatry, University of California, Davis, California, USA.
FAU - Smucny, Jason
AU  - Smucny J
AUID- ORCID: 0000-0001-5656-7987
AD  - Department of Psychiatry, University of California, Davis, California, USA.
LA  - eng
GR  - K01-MH125096/NH/NIH HHS/United States
GR  - MH059883/NH/NIH HHS/United States
GR  - MH106438/NH/NIH HHS/United States
GR  - R01-MH122139/NH/NIH HHS/United States
PT  - Journal Article
DEP - 20240213
PL  - Australia
TA  - Early Interv Psychiatry
JT  - Early intervention in psychiatry
JID - 101320027
SB  - IM
OTO - NOTNLM
OT  - at risk mental state
OT  - clinical high risk
OT  - prodromal phase
OT  - psychosis
OT  - schizophrenia
EDAT- 2024/02/14 06:43
MHDA- 2024/02/14 06:43
CRDT- 2024/02/14 02:18
PHST- 2023/12/10 00:00 [revised]
PHST- 2023/09/07 00:00 [received]
PHST- 2024/01/24 00:00 [accepted]
PHST- 2024/02/14 06:43 [medline]
PHST- 2024/02/14 06:43 [pubmed]
PHST- 2024/02/14 02:18 [entrez]
AID - 10.1111/eip.13514 [doi]
PST - aheadofprint
SO  - Early Interv Psychiatry. 2024 Feb 13. doi: 10.1111/eip.13514.