Literature DB >> 20471031

Discrepancy between subjective and objective severity in treatment-resistant depression: prediction of treatment outcome.

L J Rane1, A Fekadu, S Wooderson, L Poon, K Markopoulou, A J Cleare.   

Abstract

OBJECTIVE: Identifying predictors of outcome among patients with treatment-resistant depression (TRD) is challenging. We hypothesised that discrepancy between self-rated and observer-rated scales may be a simple way of making such a prediction.
METHOD: 102 patients were admitted to a unit specialising in the treatment of resistant depression and underwent fortnightly assessment with clinician-rated (Hamilton Depression Rating Scale-21, HAM-D) and self-rated (Beck Depression Inventory, BDI) measures. All patients had significant depressive symptoms that were treatment resistant, 70% as part of a major depressive disorder and the remainder as part of a bipolar or other disorder. A discrepancy score between the HAM-D and BDI was calculated on admission and its association with patient clinico-demographic factors was determined. A subset of 67 patients remained as inpatients for 40 weeks or until clinical response and were entered into a responder analysis, in which response was defined as ≥50% reduction in admission HAM-D score. The association of the admission BDI-HAM-D discrepancy score with subsequent patient response, was determined.
RESULTS: The magnitude of BDI-HAM-D discrepancy was higher in those with co-morbid personality disorder, lower in those with psychosis and positively correlated with anxiety. High BDI-HAM-D discrepancy score predicted delayed treatment response (odds ratio 5.40, p = 0.005).
CONCLUSION: Within TRD, higher discrepancy predicts slower response to treatment independent of objective illness severity; this may be mediated by underlying personality traits and co-morbid anxiety.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20471031     DOI: 10.1016/j.jpsychires.2010.03.020

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  8 in total

1.  Self-report and clinician-rated measures of depression severity: can one replace the other?

Authors:  Rudolf Uher; Roy H Perlis; Anna Placentino; Mojca Zvezdana Dernovšek; Neven Henigsberg; Ole Mors; Wolfgang Maier; Peter McGuffin; Anne Farmer
Journal:  Depress Anxiety       Date:  2012-08-29       Impact factor: 6.505

2.  Baseline difference between patients' and clinicians' rated illness severity scores and subsequent outcomes in major depressive disorder: analysis of the sequenced treatment alternatives to relieve depression data.

Authors:  Mitsuhiro Tada; Hiroyuki Uchida; Takefumi Suzuki; Takayuki Abe; Bruce G Pollock; Masaru Mimura
Journal:  J Clin Psychopharmacol       Date:  2014-06       Impact factor: 3.153

Review 3.  Challenging Treatment-Resistant Major Depressive Disorder: A Roadmap for Improved Therapeutics.

Authors:  Rafael T de Sousa; Marcus V Zanetti; Andre R Brunoni; Rodrigo Machado-Vieira
Journal:  Curr Neuropharmacol       Date:  2015       Impact factor: 7.363

4.  The impact of borderline personality disorder and sub-threshold borderline personality disorder on the course of self-reported and clinician-rated depression in self-harming adolescents.

Authors:  Ruth-Kari Ramleth; Berit Groholt; Lien M Diep; Fredrik A Walby; Lars Mehlum
Journal:  Borderline Personal Disord Emot Dysregul       Date:  2017-10-31

5.  Concordance between clinician-rated and patient reported outcome measures of depressive symptoms in treatment resistant depression.

Authors:  Rachel Hershenberg; William M McDonald; Andrea Crowell; Patricio Riva-Posse; W Edward Craighead; Helen S Mayberg; Boadie W Dunlop
Journal:  J Affect Disord       Date:  2020-01-22       Impact factor: 4.839

6.  Level of agreement between self-rated and clinician-rated instruments when measuring major depressive disorder in the Thai elderly: a 1-year assessment as part of the THAISAD study.

Authors:  Nahathai Wongpakaran; Tinakon Wongpakaran; Kamonporn Wannarit; Nattha Saisavoey; Manee Pinyopornpanish; Peeraphon Lueboonthavatchai; Nattaporn Apisiridej; Thawanrat Srichan; Ruk Ruktrakul; Sirina Satthapisit; Daochompu Nakawiro; Thanita Hiranyatheb; Anakevich Temboonkiat; Namtip Tubtimtong; Sukanya Rakkhajeekul; Boonsanong Wongtanoi; Sitthinant Tanchakvaranont; Putipong Bookkamana; Usaree Srisutasanavong; Raviwan Nivataphand; Donruedee Petchsuwan
Journal:  Clin Interv Aging       Date:  2014-02-25       Impact factor: 4.458

7.  Standardisation framework for the Maudsley staging method for treatment resistance in depression.

Authors:  Abebaw Fekadu; Jacek G Donocik; Anthony J Cleare
Journal:  BMC Psychiatry       Date:  2018-04-11       Impact factor: 3.630

8.  Discrepancies between self- and observer-rated depression severities in patients with major depressive disorder associated with frequent emotion-oriented coping responses and hopelessness.

Authors:  Emi Tsujimoto; Noa Tsujii; Wakako Mikawa; Hisae Ono; Osamu Shirakawa
Journal:  Neuropsychiatr Dis Treat       Date:  2018-09-12       Impact factor: 2.570

  8 in total

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