Literature DB >> 28826088

Predictors of recurrence during long-term treatment of bipolar I and II disorders. A 4 year prospective naturalistic study.

Antonio Tundo1, Laura Musetti2, Alessandra Benedetti2, Enrico Massimetti3, Irene Pergentini2, Erika Cambiali2, Liliana Dell'Osso2.   

Abstract

BACKGROUND: Despite the large number of treatments available for bipolar disorder (BD), more than one half of patients have a recurrence within 2 years, and over 90% experience at least one additional affective episode during their lifetime.
METHODS: The aim of this study was to test the impact of a number of demographic and clinical features on the risk to recurrence in a real- word representative sample of 266 outpatients with BD-I or II treated in a naturalistic setting during a 4-years-follow-up period.
RESULTS: We found that the number of episodes per year after study entry, compared to the number of episodes per year before study entry,significantly decreased and that about one third of patients had no recurrences during the observation period. The length of follow-up and the number of previous episodes, mainly depressive, predicted the risk of recurrence, while female gender, higher age at intake, and a higher frequency of past mixed episodes predicted a higher frequency of recurrences. LIMITATIONS: The study had some limitations to consider: i.e. the risk of poor reliability of information on the previous course of illness or the naturalistic treatment during the follow-up.
CONCLUSIONS: Our study suggests that (a) an evidence-based long-term treatment, with regular follow-up visits could improve the course of disease and prognosis; (b) clinicians should carefully consider the presence of a high number of mixed episodes, to provide more targeted treatment strategies; (c) an appropriate use of antidepressants in selected patients did not worsen the course of illness.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bipolar disorder I; Bipolar disorder II; Mixed states; Predictors; Recurrences; Relapse

Mesh:

Substances:

Year:  2017        PMID: 28826088     DOI: 10.1016/j.jad.2017.08.013

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  4 in total

1.  Which Actigraphy Dimensions Predict Longitudinal Outcomes in Bipolar Disorders?

Authors:  Lisa Ferrand; Vincent Hennion; Ophelia Godin; Frank Bellivier; Jan Scott; Bruno Etain
Journal:  J Clin Med       Date:  2022-04-14       Impact factor: 4.964

2.  Predicting Personalized Risk of Mood Recurrences in Youths and Young Adults With Bipolar Spectrum Disorder.

Authors:  Boris Birmaher; John A Merranko; Mary Kay Gill; Danella Hafeman; Tina Goldstein; Benjamin Goldstein; Heather Hower; Michael Strober; David Axelson; Neal Ryan; Shirley Yen; Rasim Diler; Satish Iyengar; Michael W Kattan; Lauren Weinstock; Martin Keller
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2020-01-21       Impact factor: 8.829

3.  Belief updating in bipolar disorder predicts time of recurrence.

Authors:  Paolo Ossola; Neil Garrett; Tali Sharot; Carlo Marchesi
Journal:  Elife       Date:  2020-11-10       Impact factor: 8.140

4.  Clinical effectiveness of the electrodermal orienting reactivity test for evaluating relapse and recurrence risk in patients hospitalized for depression.

Authors:  Marta Litwińska-Bołtuć; Łukasz Święcicki; Armin Spreco; Toomas Timpka
Journal:  BMC Psychiatry       Date:  2021-02-10       Impact factor: 3.630

  4 in total

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