Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-29T19:06:32.113Z Has data issue: false hasContentIssue false

Prediction of ECT Response: Validation of a Refined Sign-Based (CORE) System for Defining Melancholia

Published online by Cambridge University Press:  02 January 2018

Ian Hickie*
Affiliation:
Academic Department of Psychiatry, The St George Hospital and Community Service, 7 Chapel St, Kogarah, 2217, and School of Psychiatry, University of New South Wales
Gordon Parker
Affiliation:
School of Psychiatry, University of New South Wales
Henry Brodaty
Affiliation:
Academic Department of Psychogeriatrics, University of New South Wales, Sydney
*
Associate Professor I. Hickie, Academic Department of Psychiatry, The St George Hospital and Community Service, 7 Chapel Street, Kogarah, New South Wales 2217, Australia

Abstract

Background

The clinical validity of melancholia has been argued on the basis of its capacity to predict response to electroconvulsive therapy (ECT). We have argued that a sign-based (CORE) rating system of psychomotor disturbance can identify patients with melancholia. Therefore, the clinical validity of the CORE system was tested here in terms of its capacity to predict response to ECT.

Method

The response of 81 patients with primary affective disorders to an individualised course of ECT was investigated. CORE scores and other clinical predictors were evaluated in terms of their capacity to predict effect size changes in symptoms and disability.

Results

CORE scores predicted ECT response, as did the presence of psychotic features. The combination of marked psychomotor change (high CORE scores) and psychotic features predicted the best response to ECT.

Conclusion

This study supports the clinical validity of the CORE system for diagnosing melancholia.

Type
Papers
Copyright
Copyright © 1996 The Royal College of Psychiatrists 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abrams, R. & Vedak, C. (1991) Prediction of ECT response in melancholia. Convulsive Therapy, 7, 8184.Google ScholarPubMed
American Psychiatric Association (1987) Diagnostic and Statistical Manual of Mental Disorders (3rd edn, revised) (DSM–III–R). Washington, DC: APA.Google Scholar
Black, D. W., Winokur, G. & Nasrallah, A. (1993) A multivariate analysis of the experience of 423 depressed inpatients treated with electroconvulsive therapy. Convulsive Therapy, 9, 112120.Google ScholarPubMed
Boyce, P., Parker, G., Hickie, I., et al (1990) Personality differences between patients with remitted melancholic and nonmelancholic depression. American Journal of Psychiatry, 147, 14761483.Google ScholarPubMed
Brodaty, H., Harris, L., Wilhelm, K., et al (1993) Lessons from a mood disorders unit Australian and New Zealand Journal of Psychiatry, 27, 254263.CrossRefGoogle ScholarPubMed
Buchan, H., Johnstone, E., McPherson, K., et al (1992) Who benefits from electroconvulsive therapy? Combined results of the Leichester and Northwick Park trials. British Journal of Psychiatry, 160, 355359.CrossRefGoogle Scholar
Hickie, I., Parsonage, B. & Parker, G. (1990) Prediction of response to electroconvulsive therapy: preliminary validation of a sign-based typology of depression. British Journal of Psychiatry, 157, 6571.CrossRefGoogle ScholarPubMed
Hickie, I., Scott, E., Mitchell, P., et al (1995) Subcortical hypertensities on magnetic resonance imaging: clinical correlates and prognostic significance in patients with severe depression. Biological Psychiatry, 37, 151160.CrossRefGoogle Scholar
Kindler, S., Shapira, B., Hadjez, J., et al (1991) Factors influencing response to bilateral electroconvulsive therapy in major depression. Convulsive Therapy, 7, 245254.Google ScholarPubMed
Mitchell, P., Hadzi-Pavlovic, D., Parker, G., et al (1996) Depressive psychomotor disturbance, cortisol and dexamethasone. Biological Psychiatry (in press).CrossRefGoogle Scholar
O'Dea, J., Mitchell, P. & Hickie, I. (1991) Unilateral or bilateral electroconvulsive therapy for depression? Medical Journal of Australia, 155, 911.CrossRefGoogle ScholarPubMed
Parker, G., Hadzi-Pavlovic, D., Boyce, P., et al (1990) Classifying depression by mental state signs. British Journal of Psychiatry, 157, 5565.CrossRefGoogle ScholarPubMed
Parker, G., Hadzi-Pavlovic, D., Mitchell, P., et al (1991) Psychosocial risk factors distinguishing melancholic and nonmelancholic depression: a comparison of six systems. Psychiatry Research, 39, 211226.CrossRefGoogle ScholarPubMed
Parker, G., & Hadzi-Pavlovic, D., (1993) Prediction of response to antidepressant medication by a sign-based index of melancholia. Australian and New Zealand Journal of Psychiatry, 27, 5661.CrossRefGoogle ScholarPubMed
Parker, G., & Hadzi-Pavlovic, D., Brodaty, H., et al (1993) Psychomotor disturbance in depression: defining the constructs. Journal of Affective Disorders, 27, 155162.CrossRefGoogle ScholarPubMed
Parker, G., & Hadzi-Pavlovic, D., Wilhelm, K., et al (1994) Defining melancholia: properties of a refined sign-based measure. British Journal of Psychiatry, 164, 316326.CrossRefGoogle ScholarPubMed
Rush, A. & Weissenburger, J. (1994) Melancholic symptom features and DSM–IV. American Journal of Psychiatry, 151, 489498.Google ScholarPubMed
Snaith, P. (1993) What do depression rating scales measure? British Journal of Psychiatry, 163, 293298.CrossRefGoogle ScholarPubMed
Submit a response

eLetters

No eLetters have been published for this article.