PREDICTING OUTCOME OF DEPRESSION USING THE DEPRESSIVE SYMPTOM PROFILE: THE LEIDEN ROUTINE OUTCOME MONITORING STUDY
Article first published online: 3 MAY 2012
© 2012 Wiley Periodicals, Inc.
Depression and Anxiety
Volume 29, Issue 6, pages 523–530, June 2012
How to Cite
van Noorden, M. S., van Fenema, E. M., van der Wee, N. J. A., Zitman, F. G. and Giltay, E. J. (2012), PREDICTING OUTCOME OF DEPRESSION USING THE DEPRESSIVE SYMPTOM PROFILE: THE LEIDEN ROUTINE OUTCOME MONITORING STUDY. Depress. Anxiety, 29: 523–530. doi: 10.1002/da.21958
- Issue published online: 21 JUN 2012
- Article first published online: 3 MAY 2012
- Manuscript Accepted: 30 MAR 2012
- Manuscript Revised: 26 MAR 2012
- Manuscript Received: 6 JAN 2012
- dysthymic disorder;
- mood disorders
To investigate the predictive value of items for individual depressive symptoms measured with the self-rated Beck Depression Inventory-Revised (BDI-II) self-report scale on outcome in a large naturalistic cohort of depressive outpatients.
We used a cohort of 1,489 adult patients aged 18–65 years with major depressive disorder or dysthymic disorder established with the MINI-Plus diagnostic interview. All patients had a routine outcome monitoring baseline measurement in 2004–2009, with a maximum of 2 years follow-up. We used multivariable Cox regression models to predict remission (MADRS < 10; where MADRS stands for Montgomery–Åsberg Depression Rating Scale) and response (≥50% improvement), and adjusted for clinical and demographic characteristics (i.e. marital status, level of education, working status, comorbid anxiety, avoidant and borderline personality traits, and suicidality) that were identified as predictors in earlier studies.
Of the 21 BDI-II items, the items “pessimism” and “loss of energy” independently predicted for both remission and response. For pessimism, the hazard ratio (HR) for remission was 0.81 (95% confidence interval [CI]: 0.73–0.89, P < .001) and for loss of energy, the HR was 0.81 (95% CI: 0.72–0.92, P = .001).
These findings of robust prediction of poor outcome by baseline items of “pessimism” and “loss of energy” in a naturalistic treatment setting may help clinicians to identify depressive patients in need for additional or alternative therapeutic approaches.