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Mixed features in depression: frequency and associated factors
Published online by Cambridge University Press: 01 September 2022
Abstract
Mixed states in mood disorders present significant clinical and prognostic challenges. Although the DSM-5 has broadened diagnostic criteria for mixed states with the development of the ‘mixed features’ specifier and its application to unipolar depressive disorders, some mixed episodes might still be overlooked.
to evaluate the frequency and the factors associated with mixed depression according to the broader Koukopoulos criteria in a sample of patients with a major depressive episode
We included 99 consecutive patients presenting for a major depressive episode of bipolar (n=10) or unipolar major depressive (n=89) disorder at our outpatient clinic. Major depression was ascertained using SCID- IV criteria, and mixed features were determined using Koukopoulos’ diagnostic criteria
Mean age of the sample was 35.5 years [14-58]. Women accounted for 63.6% of patients. Mixed features were found in 19.5% (n=19) of the sample, 80% (n=8) among patients with bipolar disorders (BD) and 12.3% (n=11) among those with major depressive disorder (MDD). Individuals with mixed features had more substance abuse (p=0.005) and more suicide attempts (p=0.01). Individuals receiving antipsychotics had a lower risk of mixed features (p=0.000) while antidepressant treatment did not have any affect. A family history of BD, psychosis, suicide and substance abuse were found in these patients. Mixed features in depression were more frequent in patients with BD than in MDD.
Our study showed a high frequency of mixed features in depression, especially bipolar depression when Koukopoulos criteria are applied. Special attention should be given to these patients given the association with substance use and suicidality
No significant relationships.
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- Information
- European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S415
- Creative Commons
- This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
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- © The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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