Literature DB >> 21458076

Subtyping depression in the medically ill by cluster analysis.

Jenny Guidi1, Giovanni A Fava, Angelo Picardi, Piero Porcelli, Antonello Bellomo, Silvana Grandi, Luigi Grassi, Paolo Pasquini, Roberto Quartesan, Chiara Rafanelli, Marco Rigatelli, Nicoletta Sonino.   

Abstract

BACKGROUND: There is increasing awareness of the need of subtyping major depressive disorder, particularly in the setting of medical disease. The aim of this investigation was to use both DSM-IV comorbidity and the Diagnostic Criteria for Psychosomatic Research (DCPR) for characterizing depression in the medically ill.
METHODS: 1700 patients were recruited from 8 medical centers in the Italian Health System and 1560 agreed to participate. They all underwent a cross-sectional assessment with DSM-IV and DCPR structured interviews. 198 patients (12.7%) received a diagnosis of major depressive disorder. Data were submitted to cluster analysis.
RESULTS: Two clusters were identified: depressed somatizers and irritable/anxious depression. The somatizer cluster included 58.6% of the cases and was characterized by DCPR somatization syndromes (persistent somatization, functional somatic symptoms secondary to a psychiatric disorder, conversion symptoms, and anniversary reactions) and DCPR alexithymia. The anxious/irritable cluster had 41.4% of the total sample and included DCPR irritable mood and type A behavior and DSM-IV anxiety disorders. LIMITATIONS: The study has limitations due to its cross-sectional nature. Further, these findings require additional validation in another sample.
CONCLUSIONS: The findings indicate the need of expanding clinical assessment in the medically ill to include the various manifestations of somatization, irritable mood, type A behavior and alexithymia, as encompassed by the DCPR. Subtyping major depressive disorder may yield improved targets for psychosomatic research and treatment trials.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21458076     DOI: 10.1016/j.jad.2011.03.004

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  10 in total

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  10 in total

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