Combining the categorical and the dimensional perspective in a diagnostic map of psychotic disorders.
We introduce a diagnostic map that was calculated by robust non-metric multidimensional scaling based on AMDP symptom profiles of patients with schizophrenic and affective disorders to demonstrate a possibility to combine the categorical and the dimensional perspective at the same time. In the diagnostic map, a manic, a depressive, and a non-affective cluster clearly emerged. At the same time, the mania dimension (r = 0.82), the depression dimension (r = 0.68), and the apathy dimension (r = 0.74) showed high multiple regression values in the map. We found substantial overlaps of the diagnostic groups with regard to the affective spectrum but irrespective of the ICD-10 classification. Within this sample, we found the association and quality of mood symptoms to be a structuring principle in a diagnostic map. We demonstrate that this approach represents a promising way of combining the categorical and the dimensional perspective. As a practical implementation of these findings, a multidimensional diagnostic map could serve as an automated diagnostic tool based on psychopathological symptom profiles.
Läge
Damian
D
Institute of Psychology, University of Zurich, Switzerland. d.laege@psychologie.uzh.ch
Egli
Samy
S
Riedel
Michael
M
Strauss
Anton
A
Möller
Hans-Jürgen
HJ
D001714:Bipolar Disorder / Q000145:classification / Q000175:diagnosis*; D006801:Humans; D038801:International Classification of Diseases; D019964:Mood Disorders / Q000145:classification / Q000175:diagnosis*; D011569:Psychiatric Status Rating Scales; D011618:Psychotic Disorders / Q000145:classification / Q000175:diagnosis*; D012720:Severity of Illness Index