Subtyping negative symptoms in first-episode psychosis: Contrasting persistent negative symptoms with a data-driven approach.
Early intervention service
Functioning
Group-based trajectory modeling
Latent class growth analysis
Predict
Trajectory
Journal
Schizophrenia research
ISSN: 1573-2509
Titre abrégé: Schizophr Res
Pays: Netherlands
ID NLM: 8804207
Informations de publication
Date de publication:
10 2022
10 2022
Historique:
received:
28
01
2022
revised:
04
08
2022
accepted:
04
09
2022
pubmed:
16
9
2022
medline:
26
10
2022
entrez:
15
9
2022
Statut:
ppublish
Résumé
Persistent negative symptoms (PNS) are linked to poor functional outcomes and may be primary or caused by secondary factors. Although several studies have examined PNS in first-episode psychosis (FEP), a comparison with a data-driven approach is lacking. Here, we compared clinically defined PNS subgroups with class trajectories identified through latent growth modeling (LGM). Patients admitted to an early intervention service (N = 392) were classified as PNS (n = 105), secondary PNS (sPNS; n = 74), or non-PNS (n = 213) based on longitudinal data collected six to twelve months after admission. LGM was used to stratify patients based on similar negative symptom course over the same time period. Using multiple linear regression, we assessed the utility of both approaches in predicting Social and Occupational Functioning Assessment Scale (SOFAS) scores at two-year follow-up. Three negative symptom trajectories were identified: low and remitting (LR; n = 158), moderate and improving (MI; n = 163) and delayed partial response (DR; n = 71). Most non-PNS patients followed the LR trajectory, while patients with PNS or sPNS were generally divided between MI and DR. Both PNS classification and trajectory membership were significant predictors of two-year functional outcomes; the DR and MI trajectories predicted greater increases in SOFAS scores (DR: b = -19.14; MI: b = -11.54) than either sPNS (b = -9.19) or PNS (b = -6.46). These findings demonstrate that combining PNS and symptom-based stratification can predict functional outcomes more accurately than either taxonomy alone. Such a combined approach could yield significant advances in developing more targeted interventions for patients at risk for poor functional outcomes.
Identifiants
pubmed: 36108466
pii: S0920-9964(22)00343-7
doi: 10.1016/j.schres.2022.09.010
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
219-227Subventions
Organisme : CIHR
ID : 68961
Pays : Canada
Informations de copyright
Copyright © 2022 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Conflicts of interest Salary awards include: FRSQ to R.J., and M.L.; a Canada Research Chair to A.M.; and a James McGill Professorship to M.L. M.L. reports grants from Otsuka Lundbeck Alliance and diaMentis, personal fees from Otsuka Canada, personal fees from Lundbeck Canada, grants and personal fees from Janssen, and personal fees from MedAvante-Prophase, outside the submitted work. R.J. reports receipt of grants, as well as speaker's and consultant's honoraria from Janssen, Lundbeck, Otsuka, Pfizer, Shire, Perdue, HLS and Myelin and royalties from Henry Stewart Talks. A.M. reports research funding for an investigator-initiated project from BMS Canada and honoraria for lectures and consulting activities (e.g., advisory board participation) with Otsuka and Lundbeck, all unrelated to the present article. All other authors report no competing interests.