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Exploration of mood spectrum symptoms during a major depressive episode: The impact of contrapolarity—Results from a transdiagnostic cluster analysis on an Italian sample of unipolar and bipolar patients

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 domai...

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Autores principales: Mineo, Ludovico, Rodolico, Alessandro, Spedicato, Giorgio Alfredo, Aguglia, Andrea, Bolognesi, Simone, Concerto, Carmen, Cuomo, Alessandro, Goracci, Arianna, Maina, Giuseppe, Fagiolini, Andrea, Amore, Mario, Aguglia, Eugenio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158398/
https://www.ncbi.nlm.nih.gov/pubmed/35638732
http://dx.doi.org/10.1192/j.eurpsy.2022.20
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author Mineo, Ludovico
Rodolico, Alessandro
Spedicato, Giorgio Alfredo
Aguglia, Andrea
Bolognesi, Simone
Concerto, Carmen
Cuomo, Alessandro
Goracci, Arianna
Maina, Giuseppe
Fagiolini, Andrea
Amore, Mario
Aguglia, Eugenio
author_facet Mineo, Ludovico
Rodolico, Alessandro
Spedicato, Giorgio Alfredo
Aguglia, Andrea
Bolognesi, Simone
Concerto, Carmen
Cuomo, Alessandro
Goracci, Arianna
Maina, Giuseppe
Fagiolini, Andrea
Amore, Mario
Aguglia, Eugenio
author_sort Mineo, Ludovico
collection PubMed
description 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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spelling pubmed-91583982022-06-16 Exploration of mood spectrum symptoms during a major depressive episode: The impact of contrapolarity—Results from a transdiagnostic cluster analysis on an Italian sample of unipolar and bipolar patients Mineo, Ludovico Rodolico, Alessandro Spedicato, Giorgio Alfredo Aguglia, Andrea Bolognesi, Simone Concerto, Carmen Cuomo, Alessandro Goracci, Arianna Maina, Giuseppe Fagiolini, Andrea Amore, Mario Aguglia, Eugenio Eur Psychiatry Research Article 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. Cambridge University Press 2022-05-31 /pmc/articles/PMC9158398/ /pubmed/35638732 http://dx.doi.org/10.1192/j.eurpsy.2022.20 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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, provided the original article is properly cited.
spellingShingle Research Article
Mineo, Ludovico
Rodolico, Alessandro
Spedicato, Giorgio Alfredo
Aguglia, Andrea
Bolognesi, Simone
Concerto, Carmen
Cuomo, Alessandro
Goracci, Arianna
Maina, Giuseppe
Fagiolini, Andrea
Amore, Mario
Aguglia, Eugenio
Exploration of mood spectrum symptoms during a major depressive episode: The impact of contrapolarity—Results from a transdiagnostic cluster analysis on an Italian sample of unipolar and bipolar patients
title Exploration of mood spectrum symptoms during a major depressive episode: The impact of contrapolarity—Results from a transdiagnostic cluster analysis on an Italian sample of unipolar and bipolar patients
title_full Exploration of mood spectrum symptoms during a major depressive episode: The impact of contrapolarity—Results from a transdiagnostic cluster analysis on an Italian sample of unipolar and bipolar patients
title_fullStr Exploration of mood spectrum symptoms during a major depressive episode: The impact of contrapolarity—Results from a transdiagnostic cluster analysis on an Italian sample of unipolar and bipolar patients
title_full_unstemmed Exploration of mood spectrum symptoms during a major depressive episode: The impact of contrapolarity—Results from a transdiagnostic cluster analysis on an Italian sample of unipolar and bipolar patients
title_short Exploration of mood spectrum symptoms during a major depressive episode: The impact of contrapolarity—Results from a transdiagnostic cluster analysis on an Italian sample of unipolar and bipolar patients
title_sort exploration of mood spectrum symptoms during a major depressive episode: the impact of contrapolarity—results from a transdiagnostic cluster analysis on an italian sample of unipolar and bipolar patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158398/
https://www.ncbi.nlm.nih.gov/pubmed/35638732
http://dx.doi.org/10.1192/j.eurpsy.2022.20
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