Literature DB >> 19000337

Accuracy of specific symptoms in the diagnosis of major depressive disorder in psychiatric out-patients: data from the MIDAS project.

A J Mitchell1, J B McGlinchey, D Young, I Chelminski, M Zimmerman.   

Abstract

BACKGROUND: There is uncertainty about the diagnostic significance of specific symptoms of major depressive disorder (MDD). There is also interest in using one or two specific symptoms in the development of brief scales. Our aim was to elucidate the best possible specific symptoms that would assist in ruling in or ruling out a major depressive episode in a psychiatric out-patient setting.
METHOD: A total of 1523 psychiatric out-patients were evaluated in the Methods to Improve Diagnostic Assessment and Services (MIDAS) project. The accuracy and added value of specific symptoms from a comprehensive item bank were compared against the Structured Clinical Interview for DSM-IV (SCID).
RESULTS: The prevalence of depression in our sample was 54.4%. In this high prevalence setting the optimum specific symptoms for ruling in MDD were psychomotor retardation, diminished interest/pleasure and indecisiveness. The optimum specific symptoms for ruling out MDD were the absence of depressed mood, the absence of diminished drive and the absence of loss of energy. However, some discriminatory items were relatively uncommon. Correcting for frequency, the most clinically valuable rule-in items were depressed mood, diminished interest/pleasure and diminished drive. The most clinically valuable rule-out items were depressed mood, diminished interest/pleasure and poor concentration.
CONCLUSIONS: The study supports the use of the questions endorsed by the two-item Patient Health Questionnaire (PHQ-2) with the additional consideration of the item diminished drive as a rule-in test and poor concentration as a rule-out test. The accuracy of these questions may be different in primary care studies where prevalence differs and when they are combined into multi-question tests or algorithmic models.

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Year:  2008        PMID: 19000337     DOI: 10.1017/S0033291708004674

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  4 in total

1.  Detecting recurrent major depressive disorder within primary care rapidly and reliably using short questionnaire measures.

Authors:  Ajay Thapar; Gemma Hammerton; Stephan Collishaw; Robert Potter; Frances Rice; Gordon Harold; Nicholas Craddock; Anita Thapar; Daniel J Smith
Journal:  Br J Gen Pract       Date:  2014-01       Impact factor: 5.386

Review 2.  Vigor, Effort-Related Aspects of Motivation and Anhedonia.

Authors:  Michael T Treadway; John D Salamone
Journal:  Curr Top Behav Neurosci       Date:  2022

3.  A Real-Time Clinical Decision Support System, for Mild Cognitive Impairment Detection, Based on a Hybrid Neural Architecture.

Authors:  Carmen Paz Suárez-Araujo; Patricio García Báez; Ylermi Cabrera-León; Ales Prochazka; Norberto Rodríguez Espinosa; Carlos Fernández Viadero; For The Alzheimer's Disease Neuroimaging Initiative
Journal:  Comput Math Methods Med       Date:  2021-06-21       Impact factor: 2.238

4.  Loss of interest, depressed mood and impact on the quality of life: cross-sectional survey.

Authors:  Valeri D Guajardo; Bruno Pf Souza; Sérgio G Henriques; Mara Cs Lucia; Paulo R Menezes; Milton A Martins; Leila Slpc Tardivo; Wagner F Gattaz; Renério Fráguas
Journal:  BMC Public Health       Date:  2011-10-25       Impact factor: 3.295

  4 in total

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