Background: As melancholia has resisted symptom-based definition, this report considers possible explanations and options for moving forward. Clinician-assigned melancholic and non-melancholic groups were initially compared to refine a candidate set of differentiating symptoms alone for examination against a set of non-clinical validators. Analyses then examined the capacity of both the refined symptom and validator sets to discriminate the assigned melancholic and non-melancholic subjects.
Methods: Subjects completed measures assessing symptoms and correlates (putative validators) of diagnostic sub-type, and were assessed independently by two psychiatrists.
Results: Analyses identified 14 severity-based symptoms as discriminating clinically-diagnosed groups - with melancholic subjects differing significantly from non-melancholic subjects across a number of validators. Such symptom-based discrimination was superior to DSM-IV and Newcastle Index assignment in a study sub-set. While the refined symptom set had an overall accurate classificatory rate of 68%, use of the combined sets of refined symptoms and validators improved classification to 80%.
Conclusions: Melancholia definition is improved by the use of correlates in addition to depressive symptoms, suggesting that melancholia may be mapped more precisely by use of multiple co-ordinates or data sources.
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