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
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.

Auteurs

Laura Cremaschi (L)

University of Milan, Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, Milan, Italy. Electronic address: laura.cremaschi@unimi.it.

Monica Macellaro (M)

University of Milan, Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, Milan, Italy; "Aldo Ravelli" Center for Neurotechnology and Brain Therapeutic, University of Milan, Milan, Italy.

Nicolaja Girone (N)

University of Milan, Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, Milan, Italy.

Monica Bosi (M)

University of Milan, Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, Milan, Italy.

Bruno Mario Cesana (BM)

University of Milan, Department of Clinical Sciences and Community Health, Unit of Medical Statistics, Biometry and Bioinformatics "Giulio A. Maccacaro", Faculty of Medicine and Surgery, Milan, Italy.

Federico Ambrogi (F)

University of Milan, Department of Clinical Sciences and Community Health, Unit of Medical Statistics, Biometry and Bioinformatics "Giulio A. Maccacaro", Faculty of Medicine and Surgery, Milan, Italy.

Bernardo Dell'Osso (B)

University of Milan, Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, Milan, Italy; Stanford University, Department of Psychiatry and Behavioral Sciences, Bipolar Disorders Clinic, CA, USA; "Aldo Ravelli" Center for Neurotechnology and Brain Therapeutic, University of Milan, Milan, Italy.

Classifications MeSH