Staging of Schizophrenia With the Use of PANSS: An International Multi-Center Study.
illness course
outcome
schizophrenia
staging
Journal
The international journal of neuropsychopharmacology
ISSN: 1469-5111
Titre abrégé: Int J Neuropsychopharmacol
Pays: England
ID NLM: 9815893
Informations de publication
Date de publication:
01 11 2019
01 11 2019
Historique:
received:
19
07
2019
revised:
19
07
2019
accepted:
25
09
2019
pubmed:
30
9
2019
medline:
13
5
2020
entrez:
30
9
2019
Statut:
ppublish
Résumé
A specific clinically relevant staging model for schizophrenia has not yet been developed. The aim of the current study was to evaluate the factor structure of the PANSS and develop such a staging method. Twenty-nine centers from 25 countries contributed 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Analysis of covariance, Exploratory Factor Analysis, Discriminant Function Analysis, and inspection of resultant plots were performed. Exploratory Factor Analysis returned 5 factors explaining 59% of the variance (positive, negative, excitement/hostility, depression/anxiety, and neurocognition). The staging model included 4 main stages with substages that were predominantly characterized by a single domain of symptoms (stage 1: positive; stages 2a and 2b: excitement/hostility; stage 3a and 3b: depression/anxiety; stage 4a and 4b: neurocognition). There were no differences between sexes. The Discriminant Function Analysis developed an algorithm that correctly classified >85% of patients. This study elaborates a 5-factor solution and a clinical staging method for patients with schizophrenia. It is the largest study to address these issues among patients who are more likely to remain affiliated with mental health services for prolonged periods of time.
Identifiants
pubmed: 31563956
pii: 5576002
doi: 10.1093/ijnp/pyz053
pmc: PMC6872964
doi:
Types de publication
Journal Article
Multicenter Study
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
681-697Informations de copyright
© The Author(s) 2019. Published by Oxford University Press on behalf of CINP.
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