Literature DB >> 22868058

Discriminating melancholic and non-melancholic depression by prototypic clinical features.

Gordon Parker1, Stacey McCraw, Bianca Blanch, Dusan Hadzi-Pavlovic, Howe Synnott, Anne-Marie Rees.   

Abstract

BACKGROUND: Melancholia is positioned as either a more severe expression of clinical depression or as a separate entity. Support for the latter view emerges from differential causal factors and treatment responsiveness but has not been convincingly demonstrated in terms of differential clinical features. We pursue its prototypic clinical pattern to determine if this advances its delineation.
METHODS: We developed a 24-item measure (now termed the Sydney Melancholia Prototype Index or SMPI) comprising 12 melancholic and 12 non-melancholic prototypic features (both symptoms and illness correlates). In this evaluative study, 278 patients referred for tertiary level assessment at a specialized mood disorders clinic completed the self-report SMPI as well as a depression severity measure and a comprehensive assessment schedule before clinical interview, while assessing clinicians completed a clinician version of the SMPI items following their interview. The independent variable (diagnostic gold standard) was the clinician's judgment of a melancholic versus non-melancholic depressive episode. Discriminative performance was evaluated by Receiver Operating Characteristics (ROC) analysis of four strategies for operationalising the SMPI self-report and SMPI clinician measures, and with the former strategies compared to ROC analysis of the depression severity measure. The external validity of the optimally discriminating scores on each measure was tested against a range of clinical variables. RESULT: Comparison of the two self-report measures established that the SMPI provided greater discrimination than the depression severity measure, while comparison of the self-report and clinician-rated SMPI measures established the latter as more discriminating of clinically diagnosed melancholic or non-melancholic depression. ROC analyses favoured self-report SMPI distinction of melancholic from non-melancholic depression being most optimally calculated by a 'difference' score of at least four or more melancholic than non-melancholic items being affirmed (sensitivity of 0.69, specificity of 0.77). For the clinician-rated SMPI measure, ROC analyses confirmed the same optimal difference score of four or more as highly discriminating of melancholic and non-melancholic depression (sensitivity of 0.84, specificity of 0.92). As the difference score had positive predictive values of 0.90 and 0.70 (for the respective clinician-rated and self-report SMPI forms) and respective negative predictive values of 0.88 and 0.70, we conclude that the clinician-rated version had superior discrimination than the self-report version. External validating data quantified the self-rated and clinician-rated Index-assigned non-melancholic patients having a higher prevalence of anxiety disorders, a higher number of current and lifetime stressors, as well as elevated scores on several personality styles that are viewed as predisposing to and shaping such non-melancholic disorders. LIMITATIONS: Assigned melancholic and non-melancholic diagnoses were determined by clinician judgement, risking a circularity bias across diagnostic assignment and clinical weighting of melancholic and non-melancholic features. The robustness of the Index requires testing in primary and secondary levels of care settings.
CONCLUSIONS: The clinician-rated SMPI differentiated melancholic and non-melancholic depressed subjects at a higher level of confidence than the self-report SMPI, and with a highly acceptable level of discrimination. The measure is recommended for further testing of its intrinsic and applied properties.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22868058     DOI: 10.1016/j.jad.2012.06.042

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


  12 in total

1.  Factor structure and longitudinal measurement invariance of PHQ-9 for specialist mental health care patients with persistent major depressive disorder: Exploratory Structural Equation Modelling.

Authors:  Boliang Guo; Catherine Kaylor-Hughes; Anne Garland; Neil Nixon; Tim Sweeney; Sandra Simpson; Tim Dalgleish; Rajini Ramana; Min Yang; Richard Morriss
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2.  Latent subtypes of depression in a community sample of older adults: can depression clusters predict future depression trajectories?

Authors:  Celia F Hybels; Lawrence R Landerman; Dan G Blazer
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3.  Anhedonia in melancholic and non-melancholic depressive disorders.

Authors:  Kathryn Fletcher; Gordon Parker; Amelia Paterson; Maurizio Fava; Dan Iosifescu; Diego A Pizzagalli
Journal:  J Affect Disord       Date:  2015-05-21       Impact factor: 4.839

Review 4.  Melancholia and catatonia: disorders or specifiers?

Authors:  Gordon Parker; Georgia McClure; Amelia Paterson
Journal:  Curr Psychiatry Rep       Date:  2015-01       Impact factor: 5.285

5.  The clinical characterization of the adult patient with depression aimed at personalization of management.

Authors:  Mario Maj; Dan J Stein; Gordon Parker; Mark Zimmerman; Giovanni A Fava; Marc De Hert; Koen Demyttenaere; Roger S McIntyre; Thomas Widiger; Hans-Ulrich Wittchen
Journal:  World Psychiatry       Date:  2020-10       Impact factor: 49.548

6.  Biological differences between melancholic and nonmelancholic depression subtyped by the CORE measure.

Authors:  Lucas Spanemberg; Marco Antonio Caldieraro; Edgar Arrua Vares; Bianca Wollenhaupt-Aguiar; Márcia Kauer-Sant'Anna; Sheila Yuri Kawamoto; Emily Galvão; Gordon Parker; Marcelo P Fleck
Journal:  Neuropsychiatr Dis Treat       Date:  2014-08-19       Impact factor: 2.570

7.  Melancholic-Like behaviors and circadian neurobiological abnormalities in melatonin MT1 receptor knockout mice.

Authors:  Stefano Comai; Rafael Ochoa-Sanchez; Sergio Dominguez-Lopez; Francis Rodriguez Bambico; Gabriella Gobbi
Journal:  Int J Neuropsychopharmacol       Date:  2015-01-31       Impact factor: 5.176

8.  The treatment of nonmelancholic depression: when antidepressants fail, does psychotherapy work?

Authors:  Gordon Parker; Rebecca Graham; Elizabeth Sheppard
Journal:  Can J Psychiatry       Date:  2014-07       Impact factor: 4.356

9.  Metabolomic biosignature differentiates melancholic depressive patients from healthy controls.

Authors:  Yashu Liu; Lynn Yieh; Tao Yang; Wilhelmus Drinkenburg; Pieter Peeters; Thomas Steckler; Vaibhav A Narayan; Gayle Wittenberg; Jieping Ye
Journal:  BMC Genomics       Date:  2016-08-23       Impact factor: 3.969

10.  Prediction of Antidepressant Treatment Outcome Using Event-Related Potential in Patients with Major Depressive Disorder.

Authors:  Hyun Seo Lee; Seung Yeon Baik; Yong-Wook Kim; Jeong-Youn Kim; Seung-Hwan Lee
Journal:  Diagnostics (Basel)       Date:  2020-05-03
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