Predicting a combined treatment outcome in chronic Schizophrenia: The role of demographics, symptomatology, functioning and subjective well-being

D. Naber*, S. Kollack-Walker, J. Chen, V. L. Stauffer, B. J. Kinon, M. Case, H. Ascher-Svanum, S. Kapur, J. M. Kane

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

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

Original languageEnglish
Pages (from-to)114-119
Number of pages6
JournalPharmacopsychiatry
Volume46
Issue number3
DOIs
Publication statusPublished - 2013

Keywords

  • antipsychotics
  • olanzapine
  • prediction
  • risperidone
  • schizophrenia

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