Literature DB >> 29459190

The Koukopoulos Mixed Depression Rating Scale (KMDRS): An International Mood Network (IMN) validation study of a new mixed mood rating scale.

Gabriele Sani1, Paul A Vöhringer2, Sergio A Barroilhet3, Alexia E Koukopoulos4, S Nassir Ghaemi5.   

Abstract

BACKGROUND: It has been proposed that the broad major depressive disorder (MDD) construct is heterogenous. Koukopoulos has provided diagnostic criteria for an important subtype within that construct, "mixed depression" (MxD), which encompasses clinical pictures characterized by marked psychomotor or inner excitation and rage/anger, along with severe depression. This study provides psychometric validation for the first rating scale specifically designed to assess MxD symptoms cross-sectionally, the Koukopoulos Mixed Depression Rating Scale (KMDRS).
METHODS: 350 patients from the international mood network (IMN) completed three rating scales: the KMDRS, Montgomery-Asberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS). KMDRS' psychometric properties assessed included Cronbach's alpha, inter-rater reliability, factor analysis, predictive validity, and Receiver Operator Curve analysis.
RESULTS: Internal consistency (Cronbach's alpha = 0.76; 95% CI 0.57, 0.94) and interrater reliability (kappa = 0.73) were adequate. Confirmatory factor analysis identified 2 components: anger and psychomotor excitation (80% of total variance). Good predictive validity was seen (C-statistic = 0.82 95% CI 0.68, 0.93). Severity cut-off scores identified were as follows: none (0-4), possible (5-9), mild (10-15), moderate (16-20) and severe (> 21) MxD. LIMITATIONS: Non DSM-based diagnosis of MxD may pose some difficulties in the initial use and interpretation of the scoring of the scale. Moreover, the cross-sectional nature of the evaluation does not verify the long-term stability of the scale.
CONCLUSIONS: KMDRS was a reliable and valid instrument to assess MxD symptoms.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Irritability; Mixed depression; Psychomotor agitation; Rating scale

Mesh:

Year:  2018        PMID: 29459190     DOI: 10.1016/j.jad.2018.01.025

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


  6 in total

1.  Validity of the Shahin Mixed Depression Scale: A Self-Rated Instrument Designed to Measure the Non-DSM Mixed Features in Depression.

Authors:  Islam Shahin; Caterina Del Mar Bonnin; Elsayed Saleh; Khaled Helmy; Usama M Youssef; Eduard Vieta
Journal:  Neuropsychiatr Dis Treat       Date:  2020-09-28       Impact factor: 2.570

2.  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.

Authors:  Ludovico Mineo; Alessandro Rodolico; Giorgio Alfredo Spedicato; Andrea Aguglia; Simone Bolognesi; Carmen Concerto; Alessandro Cuomo; Arianna Goracci; Giuseppe Maina; Andrea Fagiolini; Mario Amore; Eugenio Aguglia
Journal:  Eur Psychiatry       Date:  2022-05-31       Impact factor: 7.156

Review 3.  Depression Preceding Diagnosis of Bipolar Disorder.

Authors:  Claire O'Donovan; Martin Alda
Journal:  Front Psychiatry       Date:  2020-06-11       Impact factor: 4.157

4.  Development of the 12-item questionnaire for quantitative assessment of depressive mixed state (DMX-12).

Authors:  Hotaka Shinzato; Munenaga Koda; Akifumi Nakamura; Tsuyoshi Kondo
Journal:  Neuropsychiatr Dis Treat       Date:  2019-07-15       Impact factor: 2.570

5.  Vocal features obtained through automated methods in verbal fluency tasks can aid the identification of mixed episodes in bipolar disorder.

Authors:  Luisa Weiner; Andrea Guidi; Nadège Doignon-Camus; Anne Giersch; Gilles Bertschy; Nicola Vanello
Journal:  Transl Psychiatry       Date:  2021-08-02       Impact factor: 6.222

Review 6.  Mixed Depression: A Mini-Review to Guide Clinical Practice and Future Research Developments.

Authors:  Antimo Natale; Ludovico Mineo; Laura Fusar-Poli; Andrea Aguglia; Alessandro Rodolico; Massimo Tusconi; Andrea Amerio; Gianluca Serafini; Mario Amore; Eugenio Aguglia
Journal:  Brain Sci       Date:  2022-01-11
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.