Symptom Trajectories of Early Responders and Remitters among Youth with OCD

This study examined the phenomenology and predictors of early response and remission among youth with obsessive-compulsive disorder (OCD) receiving cognitive-behavioral therapy (CBT).

One hundred and thirty-nine youth with a current primary diagnosis of OCD participated in this study. Participants received 10 sessions of CBT augmented by either placebo or d-cycloserine (DCS) as part of a randomized double-blind multi-site clinical trial. Early response and remission status were determined by clinician-rated global symptom improvement (CGI-I) and severity (CGI-S), respectively.

At the mid-treatment assessment, 45.3% of youth were early responders, and 28.1% were early remitters. At post-treatment assessment, 79.1% of youth were responders and 67.6% were remitters. Early response predicted a higher likelihood of post-treatment response and remission; early remission significantly predicted a higher likelihood of post-treatment remission. Bivariate logistic regressions showed that early response was predicted by lower baseline clinician-rated global severity (CGI-S) and lower depression severity; however, only depression severity remained a significant predictor in the multivariable logistic regression model. Furthermore, bivariate logistic regressions showed that early remission was predicted by lower baseline clinician-rated global severity (CGI-S), lower depression severity, and lower obsessive-compulsive symptom severity (CY-BOCS); however, only global severity remained a significant predictor in the multivariable logistic regression model.

Lower OCD and depression symptom severity predicted a greater likelihood of early treatment response and remission to CBT. Findings suggest that low OCD and depression symptom severity could serve as baseline characteristics to identify potential candidates for lower-intensity initial interventions in a stepped care approach. The modest predictive value of the variables examined suggests that additional factors could add to prediction of treatment response and remission.