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Pharmacopsychiatry. 2013 May;46(3):114-9. doi: 10.1055/s-0032-1331703. Epub 2013 Jan 4.

Predicting a 'combined treatment outcome' in chronic schizophrenia: the role of demographics, symptomatology, functioning and subjective well-being.

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  • 1Department of Psychiatry and Psychotherapy, University of Hamburg, Hamburg, Germany. naber@uke.de

Abstract

OBJECTIVES:

The aim of this study was to determine what variables predict a 'combined treatment outcome' (COMBOUT) in patients with chronic schizophrenia.

METHODS:

This analysis (n=522) was based on a randomized, double-blind, flexible-dose, 12-week study that enrolled chronically-ill patients diagnosed with schizophrenia or a related disorder. COMBOUT was assessed using the PANSS for symptoms, CGI-S for overall clinical status, MADRS for depressive symptoms, QLS for functioning/QOL, and SWN-K for subjective well-being. Possible predictors included demographics as well as baseline scores (Model I), and early change (week 2) scores (Model II).

RESULTS:

Model I: significantly better outcome (higher COMBOUT score) was observed in patients with lower MADRS (T= - 6.36; p<0.001) or higher QLS (T=5.05; p<0.001) scores at baseline. Model II: significantly better COMBOUT was observed in patients with early improvement of QLS (T=4.93; p<0.001), SWN-K (T=3.88; p<0.001), PANSS (T= - 2.32; p=0.021) and CGI-S scores (T= - 2.22; p=0.027). Changes in EPS were not predictors of COMBOUT in the models tested.

CONCLUSION:

COMBOUT at endpoint was predicted by lower depressive symptom score and higher QOL at baseline and by early improvement in psychopathology, quality of life and subjective well-being.

© Georg Thieme Verlag KG Stuttgart · New York.

PMID:
23293013
[PubMed - indexed for MEDLINE]
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