Time is the enemy: Negative symptoms are related to even slight differences in the duration of untreated psychosis.

First-episode schizophrenia duration of untreated psychosis longitudinal study negative symptoms prediction

Journal

Comprehensive psychiatry
ISSN: 1532-8384
Titre abrégé: Compr Psychiatry
Pays: United States
ID NLM: 0372612

Informations de publication

Date de publication:
14 Jan 2024
Historique:
received: 11 09 2023
revised: 26 12 2023
accepted: 12 01 2024
medline: 20 1 2024
pubmed: 20 1 2024
entrez: 19 1 2024
Statut: aheadofprint

Résumé

Negative symptoms (NS) represent a detrimental symptomatic domain in schizophrenia affecting social and occupational outcomes. We aimed to identify factors from the baseline visit (V1) - with a mean illness duration of 0.47 years (SD = 0.45) - that predict the magnitude of NS at the follow-up visit (V3), occurring 4.4 years later (mean +/- 0.45). Using longitudinal data from 77 first-episode schizophrenia spectrum patients, we analysed eight predictors of NS severity at V3: (1) the age at disease onset, (2) age at V1, (3) sex, (4) diagnosis, (5) NS severity at V1, (6) the dose of antipsychotic medication at V3, (7) hospitalisation days before V1 and; (8) the duration of untreated psychosis /DUP/). Secondly, using a multiple linear regression model, we studied the longitudinal relationship between such identified predictors and NS severity at V3 using a multiple linear regression model. DUP (Pearson's r = 0.37, p = 0.001) and NS severity at V1 (Pearson's r = 0.49, p < 0.001) survived correction for multiple comparisons. The logarithmic-like relationship between DUP and NS was responsible for the initial stunning incremental contribution of DUP to the severity of NS. For DUP < 6 months, with the sharpest DUP/NS correlation, prolonging DUP by five days resulted in a measurable one-point increase in the 6-item negative symptoms PANSS domain assessed 4.9 (+/- 0.6) years after the illness onset. Prolongation of DUP to 14.7 days doubled this NS gain, whereas 39 days longer DUP tripled NS increase. The results suggest the petrification of NS during the early stages of the schizophrenia spectrum and a crucial dependence of this symptom domain on DUP. These findings are clinically significant and highlight the need for primary preventive actions.

Sections du résumé

BACKGROUND BACKGROUND
Negative symptoms (NS) represent a detrimental symptomatic domain in schizophrenia affecting social and occupational outcomes.
AIMS OBJECTIVE
We aimed to identify factors from the baseline visit (V1) - with a mean illness duration of 0.47 years (SD = 0.45) - that predict the magnitude of NS at the follow-up visit (V3), occurring 4.4 years later (mean +/- 0.45).
METHOD METHODS
Using longitudinal data from 77 first-episode schizophrenia spectrum patients, we analysed eight predictors of NS severity at V3: (1) the age at disease onset, (2) age at V1, (3) sex, (4) diagnosis, (5) NS severity at V1, (6) the dose of antipsychotic medication at V3, (7) hospitalisation days before V1 and; (8) the duration of untreated psychosis /DUP/). Secondly, using a multiple linear regression model, we studied the longitudinal relationship between such identified predictors and NS severity at V3 using a multiple linear regression model.
RESULTS RESULTS
DUP (Pearson's r = 0.37, p = 0.001) and NS severity at V1 (Pearson's r = 0.49, p < 0.001) survived correction for multiple comparisons. The logarithmic-like relationship between DUP and NS was responsible for the initial stunning incremental contribution of DUP to the severity of NS. For DUP < 6 months, with the sharpest DUP/NS correlation, prolonging DUP by five days resulted in a measurable one-point increase in the 6-item negative symptoms PANSS domain assessed 4.9 (+/- 0.6) years after the illness onset. Prolongation of DUP to 14.7 days doubled this NS gain, whereas 39 days longer DUP tripled NS increase.
CONCLUSION CONCLUSIONS
The results suggest the petrification of NS during the early stages of the schizophrenia spectrum and a crucial dependence of this symptom domain on DUP. These findings are clinically significant and highlight the need for primary preventive actions.

Identifiants

pubmed: 38241816
pii: S0010-440X(24)00001-4
doi: 10.1016/j.comppsych.2024.152450
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

152450

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no competing interests.

Auteurs

Slováková Andrea (S)

National Institute of Mental Health, Klecany, Czech Republic; 3rd Faculty of Medicine, Charles University, Prague, Czech Republic. Electronic address: andrea.slovakova@bohnice.cz.

Kúdelka Jan (K)

National Institute of Mental Health, Klecany, Czech Republic.

Škoch Antonín (Š)

National Institute of Mental Health, Klecany, Czech Republic; Institute for Clinical and Experimental Medicine, Department of Diagnostic and Interventional Radiology, Prague, Czech Republic. Electronic address: antonin.skoch@nudz.cz.

Jakob Lea (J)

National Institute of Mental Health, Klecany, Czech Republic. Electronic address: lea.jakob@nudz.cz.

Fialová Markéta (F)

National Institute of Mental Health, Klecany, Czech Republic; 3rd Faculty of Medicine, Charles University, Prague, Czech Republic. Electronic address: marketa.fialova@nudz.cz.

Fürstová Petra (F)

National Institute of Mental Health, Klecany, Czech Republic. Electronic address: petra.furstova@nudz.cz.

Bakštein Eduard (B)

National Institute of Mental Health, Klecany, Czech Republic. Electronic address: bakstedu@fel.cvut.cz.

Bankovská Motlová Lucie (BM)

3rd Faculty of Medicine, Charles University, Prague, Czech Republic. Electronic address: lucie.bankovska@lf3.cuni.cz.

Knytl Pavel (K)

National Institute of Mental Health, Klecany, Czech Republic. Electronic address: pavel.knytl@nudz.cz.

Filip Španiel (F)

National Institute of Mental Health, Klecany, Czech Republic; 3rd Faculty of Medicine, Charles University, Prague, Czech Republic. Electronic address: filip.spaniel@nudz.cz.

Classifications MeSH