Subtyping depression by clinical features: the Australasian database

Acta Psychiatr Scand. 2000 Jan;101(1):21-8. doi: 10.1034/j.1600-0447.2000.101001021.x.

Abstract

Objective: To distinguish psychotic, melancholic and a residual non-melancholic class on the basis of clinical features alone. Previous studies at our Mood Disorders Unit (MDU) favour a hierarchical model, with the classes able to be distinguished by two specific clinical features, but any such intramural study risks rater bias and requires external replication.

Method: This replication study involved 27 Australasian psychiatrist raters, thus extending the sample and raters beyond the MDU facility. They collected clinical feature data using a standardized assessment with precoded rating options. A psychotic depression (PD) class was derived by respecting DSM-IV decision rules while a cluster analysis distinguished melancholic (MEL) and non-melancholic classes.

Results: The MELs were distinguished virtually entirely by the presence of significant psychomotor disturbance (PMD), as rated by the observationally based CORE measure, with over-representation on only three of an extensive set of 'endogeneity symptoms'.

Conclusion: In comparison to PMD, endogeneity symptoms appear to be poor indicators of 'melancholic' type, confounding typology with severity. Results again support the hierarchical model.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Australia
  • Cluster Analysis
  • Databases as Topic
  • Decision Trees
  • Depressive Disorder / classification*
  • Depressive Disorder / diagnosis*
  • Depressive Disorder / psychology
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Psychological
  • Psychiatric Status Rating Scales / statistics & numerical data*
  • Severity of Illness Index