Resilience as a predictor of treatment response in patients with posttraumatic stress disorder treated with venlafaxine extended release or placebo.

Published

Journal Article

This post-hoc analysis evaluated resilience as a predictor of treatment response in patients with posttraumatic stress disorder (PTSD). Data were pooled from two randomized, double-blind studies conducted with adult outpatients treated with flexible doses of venlafaxine extended release (ER) 37.5 to 300 mg/day or placebo. The 17-item Clinician-Administered Posttraumatic Stress Disorder Scale (CAPS-SX(17)) was the primary outcome measure. Baseline Connor-Davidson Resilience Scale (CD-RISC) scores for the 25-, 10-, and 2-item versions were used to predict changes in PTSD symptom severity at week 12 and symptomatic remission (CAPS-SX(17) ≤ 20). Analyses were conducted for the overall population and separately for the individual treatment groups. In total, pretreatment resilience predicted a positive treatment response. For the overall population, all versions of the CD-RISC predicted CAPS-SX(17) change scores and remission after controlling for variables such as treatment group and baseline symptom severity. For venlafaxine ER-treated patients, all versions of the CD-RISC were predictive of remission, but only the 10-item version was predictive of CAPS-SX(17) change score. Our results suggest that higher pretreatment resilience is generally associated with a positive treatment response. Future research may be warranted to explore the relationship between response to active treatment and the spectrum of resiliency.

Full Text

Duke Authors

Cited Authors

  • Davidson, J; Stein, DJ; Rothbaum, BO; Pedersen, R; Szumski, A; Baldwin, DS

Published Date

  • June 2012

Published In

Volume / Issue

  • 26 / 6

Start / End Page

  • 778 - 783

PubMed ID

  • 21926426

Pubmed Central ID

  • 21926426

Electronic International Standard Serial Number (EISSN)

  • 1461-7285

International Standard Serial Number (ISSN)

  • 0269-8811

Digital Object Identifier (DOI)

  • 10.1177/0269881111413821

Language

  • eng