Journal
EUROPEAN PSYCHIATRY
Volume 65, Issue 1, Pages -Publisher
CAMBRIDGE UNIV PRESS
DOI: 10.1192/j.eurpsy.2022.20
Keywords
Mixed depression; Mood spectrum; Subthreshold hypomania; with mixed features specifier; cluster analysis
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This study employed a cross-diagnostic cluster analysis to identify distinct subgroups among depressed patients. The results revealed three clusters: Mild, Moderate, and Mixed, which were associated with different levels of clinical severity and outcomes.
Background Subthreshold hypomania during a major depressive episode challenges the bipolar-unipolar dichotomy. In our study we employed a cross-diagnostic cluster analysis - to identify distinct subgroups within a cohort of depressed patients. Methods A k-means cluster analysis- based on the domain scores of the Mood Spectrum Self-Report (MOODS-SR) questionnaire-was performed on a data set of 300 adults with either bipolar or unipolar depression. After identifying groups, between-clusters comparisons were conducted on MOODS-SR domains and factors and on a set of sociodemographic, clinical and psychometric variables. Results Three clusters were identified: one with intermediate depressive and poor manic symptomatology (Mild), one with severe depressive and poor manic symptomatology (Moderate), and a third one with severe depressive and intermediate manic symptomatology (Mixed). Across the clusters, bipolar patients were significantly less represented in the Mild one, while the DSM-5 Mixed features specifier did not differentiate the groups. When compared to the other patients, those of Mixed cluster exhibited a stronger association with most of the illness-severity, quality of life, and outcomes measures considered. After performing pairwise comparisons significant differences between Mixed and Moderate clusters were restricted to: current and disease-onset age, psychotic ideation, suicidal attempts, hospitalization numbers, impulsivity levels and comorbidity for Cluster B personality disorder. Conclusions In the present study, a clustering approach based on a spectrum exploration of mood symptomatology led to the identification of three transdiagnostic groups of patients. Consistent with our hypothesis, the magnitude of subthreshold (hypo)manic symptoms was related to a greater clinical severity, regardless of the main categorical diagnosis.
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