Citation

Henry C, M'Bailara K, Poinsot R, Desage A, Antoniol B. Ann. Med. Psychol. (Paris) 2006; 164(4): 314-321.

Copyright

(Copyright © 2006, Societe Medico-Psychologique, Publisher Elsevier Publishing)

DOI

10.1016/j.amp.2006.03.006

PMID

unavailable

Abstract

INTRODUCTION: Although depressive moods are recognised as a very broad condition, there is still only one definition in international classifications for describing a major depressive episode (MDE). However, there is currently some controversy surround the treatment of depressive states. This includes SSRIs and suicide in adolescents, and more specifically in bipolar disorders where some depressions are made worse by antidepressants. New data has suggested that depressive states in BP patients can be improved by atypical antipsychotics.

AIM: We aimed to assess 1) whether it is possible to distinguish different forms of bipolar depression using a dimensional approach, and 2) if, yes, whether there are different patterns of treatment response.

METHOD: We characterised 60 bipolar patients with a Major Depressive Episode (DSM-IV) using a new tool (MATHYS: Multidimensional Assessment of Thymic States) assessing five fundamental dimensions (emotional reactivity, cognitive speed, psycho-motricity, motivation and senses perception) of mood states (full description elsewhere).

RESULTS: A cluster analysis using the items of the dimensional scale revealed two types of depressive states. One group (G1; N = 38), which had a low score, is characterised by an inhibition in all dimensions, whereas the other group (G2; N = 22) is characterised by an over-activation. Emotional reactivity is a useful dimension for discriminating these two types of depression (G1: hyporeactivity; G2: hyperreactivity) whereas sadness is not. A lower score on the MAThyS scale at day 1 was associated with a good response to antidepressant treatment, whereas higher scores were linked to a good response to a mood stabilizers alone or in combination with an antipsychotic.

CONCLUSION: Bipolar depressive states are not homogeneous and this heterogeneity can explain various patterns of treatment response. A dimensional approach could be useful for discriminating the different forms of bipolar depression and to help manage treatment. © 2006 Elsevier SAS. All rights reserved.

Language: fr

Keywords

adult; human; female; male; mood; bipolar depression; Bipolar depression; article; major clinical study; antidepressant agent; rating scale; Emotional reactivity; cluster analysis; diagnostic and statistical manual of mental disorders; mood stabilizer; Treatment of depression; Dimensional approach