The progression trajectory of Bipolar Disorder: Results from the application of a staging model over a ten-year observation.
Bipolar disorder
Clinical staging
Disease progression
Multi-state model
Retrospective study
Staging model
Journal
Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073
Informations de publication
Date de publication:
27 Jun 2024
27 Jun 2024
Historique:
received:
04
03
2024
revised:
03
06
2024
accepted:
25
06
2024
medline:
30
6
2024
pubmed:
30
6
2024
entrez:
29
6
2024
Statut:
aheadofprint
Résumé
Trying to better define Bipolar Disorder (BD) progression, different staging models have been conceptualized, each one emphasizing different aspects of illness. In a previous article we retrospectively applied the main staging models to a sample of 100 bipolar patients at four time points over a ten-year observation. In the present study, focusing on Kupka & Hillegers's model, we aimed to assess the transition of the same sample through the different stages of illness and to explore the potential role of clinical variables on the risk of progression. Multistate Model using the mstate package in R and Markov model with stratified hazards were used for statistical analysis. A high hazard of transition from stage 2 to 3 emerged, with a probability of staying in stage 2 decreasing to 14 % after 3 years. BD II and depressive predominant polarity were significantly associated with transition from stage 1 to 2, whereas the number of lifetime episodes >3 and the elevated predominant polarity with transition from stage 3 to 4. Our results corroborated the evidence on BD progression and contributed to outline its trajectory over time. Further effort may help to define a standardized staging approach towards ever increasing tailored interventions.
Sections du résumé
BACKGROUND
BACKGROUND
Trying to better define Bipolar Disorder (BD) progression, different staging models have been conceptualized, each one emphasizing different aspects of illness. In a previous article we retrospectively applied the main staging models to a sample of 100 bipolar patients at four time points over a ten-year observation. In the present study, focusing on Kupka & Hillegers's model, we aimed to assess the transition of the same sample through the different stages of illness and to explore the potential role of clinical variables on the risk of progression.
METHODS
METHODS
Multistate Model using the mstate package in R and Markov model with stratified hazards were used for statistical analysis.
RESULTS
RESULTS
A high hazard of transition from stage 2 to 3 emerged, with a probability of staying in stage 2 decreasing to 14 % after 3 years. BD II and depressive predominant polarity were significantly associated with transition from stage 1 to 2, whereas the number of lifetime episodes >3 and the elevated predominant polarity with transition from stage 3 to 4.
CONCLUSION
CONCLUSIONS
Our results corroborated the evidence on BD progression and contributed to outline its trajectory over time. Further effort may help to define a standardized staging approach towards ever increasing tailored interventions.
Identifiants
pubmed: 38944295
pii: S0165-0327(24)01026-7
doi: 10.1016/j.jad.2024.06.094
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2024. Published by Elsevier B.V.
Déclaration de conflit d'intérêts
Declaration of competing interest In the last three years, Prof. Dell'Osso has received lecture honoraria and grants from Angelini, Lundbeck, Janssen, Pfizer, Otzuka, Neuraxpharm, and Livanova. The other authors have no conflicts to declare.