Defining Treatment Response and Remission in Obsessive-Compulsive Disorder: A Signal Detection Analysis of the Children's Yale-Brown Obsessive Compulsive Scale

Objective To examine the optimal Children's Yale-Brown Obsessive-Compulsive Scale (CY-BOCS) percent reduction cutoffs for predicting treatment response and clinical remission among children and adolescents with obsessive-compulsive disorder (OCD). Method Youth with OCD (N = 109; range 7 to 19 y...

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Veröffentlicht in:Journal of the American Academy of Child and Adolescent Psychiatry 2010-07, Vol.49 (7), p.708-717
Hauptverfasser: Storch, Eric A., Ph.D, Lewin, Adam B., Ph.D, De Nadai, Alessandro S., M.A, Murphy, Tanya K., M.D
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Sprache:eng
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Zusammenfassung:Objective To examine the optimal Children's Yale-Brown Obsessive-Compulsive Scale (CY-BOCS) percent reduction cutoffs for predicting treatment response and clinical remission among children and adolescents with obsessive-compulsive disorder (OCD). Method Youth with OCD (N = 109; range 7 to 19 years) received 14 sessions of weekly or intensive family-based CBT as part of previously published studies or through the standard clinical flow at our facility. Assessments were conducted before and after treatment and included the CY-BOCS, response and remission status on the Clinical Global Impressions Scale, and the Child Obsessive-Compulsive Impact Scale. Results Maximally efficient CY-BOCS cutoffs were observed at a 25% reduction for treatment response, a 45% to 50% reduction for symptom remission, and a CY-BOCS score of 14 when considering raw scores. OCD-related impairment improved as a function of treatment response and symptom remission. Conclusions These data indicate that a CY-BOCS reduction of 25% appears to be optimal for determining treatment response, a reduction of 45% to 50% appears to be optimal for detecting symptom remission, and a CY-BOCS raw score of 14 best reflects remission after treatment. Clinical trials should employ a consistent definition of treatment response for cross-study comparability. Clinicians can use these values for treatment planning decisions.
ISSN:0890-8567
1527-5418
DOI:10.1016/j.jaac.2010.04.005