Staging models applied in a sample of patients with bipolar disorder: Results from a retrospective cohort study.

Bipolar disorder Clinical staging Disease progression Retrospective study Staging models

Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
15 02 2023
Historique:
received: 13 05 2022
revised: 18 11 2022
accepted: 23 11 2022
pubmed: 2 12 2022
medline: 13 1 2023
entrez: 1 12 2022
Statut: ppublish

Résumé

Bipolar Disorder (BD) is a life-long illness with compelling evidence of progression. Although different staging models have been proposed to evaluate its course, clinical data remain limited. The aim of the present study was to retrospectively assess applicability of available staging approaches and their pattern of progression in a sample of bipolar patients. In a naturalistic sample of 100 BD patients, retrospective assessment of clinical stages was performed at four time points over 10 years, according to four staging models. Staging progression with potential associations between stages and unfavourable illness characteristics were analyzed. A pattern of stage worsening emerged for each model, with a significant increase at every time point. Greater stage increases emerged in patients with lower educational level, age at first elevated episode ≤35 years, duration of illness ≤25 years, and duration of untreated illness ≤5 years. Lower stage values were associated with BD II, no psychiatric hospitalization, depressive onset and predominant polarity, ≤three lifetime episodes, age at first mood stabilizer >40 years, duration of illness ≤25 years, and engaged/employed status. Higher stage values were associated with lower age at first elevated episode and mood stabilizing treatment instead. Naturalistic and retrospective design, recruitment at a 2nd level specialistic clinic. Reported findings support the progressive nature of BD and the application of staging models for early intervention, suggesting a conceptualization of a standardized approach to better characterize patients, predict their clinical course, and deliver tailored treatment options.

Sections du résumé

BACKGROUND
Bipolar Disorder (BD) is a life-long illness with compelling evidence of progression. Although different staging models have been proposed to evaluate its course, clinical data remain limited. The aim of the present study was to retrospectively assess applicability of available staging approaches and their pattern of progression in a sample of bipolar patients.
METHODS
In a naturalistic sample of 100 BD patients, retrospective assessment of clinical stages was performed at four time points over 10 years, according to four staging models. Staging progression with potential associations between stages and unfavourable illness characteristics were analyzed.
RESULTS
A pattern of stage worsening emerged for each model, with a significant increase at every time point. Greater stage increases emerged in patients with lower educational level, age at first elevated episode ≤35 years, duration of illness ≤25 years, and duration of untreated illness ≤5 years. Lower stage values were associated with BD II, no psychiatric hospitalization, depressive onset and predominant polarity, ≤three lifetime episodes, age at first mood stabilizer >40 years, duration of illness ≤25 years, and engaged/employed status. Higher stage values were associated with lower age at first elevated episode and mood stabilizing treatment instead.
LIMITATIONS
Naturalistic and retrospective design, recruitment at a 2nd level specialistic clinic.
CONCLUSIONS
Reported findings support the progressive nature of BD and the application of staging models for early intervention, suggesting a conceptualization of a standardized approach to better characterize patients, predict their clinical course, and deliver tailored treatment options.

Identifiants

pubmed: 36455717
pii: S0165-0327(22)01341-6
doi: 10.1016/j.jad.2022.11.081
pii:
doi:

Substances chimiques

Antipsychotic Agents 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

452-460

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of Interest In the last three years, Prof. Dell'Osso has received lecture honoraria and grants from Angelini, Lundbeck, Janssen, Pfizer, Otzuka, Neuraxpharm, and Livanova. Prof. Ketter has received grants from Agency for Healthcare Research and Quality, personal fees from Acadia Pharmaceuticals, Allergan Pharmaceuticals, Janssen Pharmaceuticals, Myriad Genetic Laboratories, Inc., Navigen, Otsuka Pharmaceuticals, Sunovion Pharmaceuticals, Supernus Pharmaceuticals, Teva Pharmaceuticals, GlaxoSmithKline, grants from Merck & Co., Inc., personal fees from American Psychiatric Publishing, Inc., outside the submitted work. The other authors have no conflicts to declare.

Auteurs

Monica Macellaro (M)

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

Nicolaja Girone (N)

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

Laura Cremaschi (L)

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)

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

Federico Ambrogi (F)

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

Valentina Caricasole (V)

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

Federica Giorgetti (F)

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

Terence A Ketter (TA)

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

Bernardo Dell'Osso (B)

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

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