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The progression trajectory of Bipolar Disorder: results from the application of a staging model over a ten-year observation.
Cremaschi, Laura; Macellaro, Monica; Girone, Nicolaja; Bosi, Monica; Cesana, Bruno Mario; Ambrogi, Federico; Dell'Osso, Bernardo.
Afiliação
  • 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.
  • 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.
  • Girone N; University of Milan, Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, Milan, Italy.
  • Bosi M; University of Milan, Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, Milan, Italy.
  • 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.
  • 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.
  • 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, Unive
J Affect Disord ; 362: 186-193, 2024 Oct 01.
Article em En | MEDLINE | ID: mdl-38944295
ABSTRACT

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:

Multistate Model using the mstate package in R and Markov model with stratified hazards were used for statistical analysis.

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 was 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:

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Bipolar / Progressão da Doença Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Bipolar / Progressão da Doença Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article