Mai Uchida1, Stephen V Faraone2, MaryKate Martelon3, Tara Kenworthy3, K Yvonne Woodworth3, Thomas J Spencer1, Janet R Wozniak1, Joseph Biederman4. 1. Clinical and Research Programs in Pediatric Psychopharmacology and ADHD, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA. 2. Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA. 3. Clinical and Research Programs in Pediatric Psychopharmacology and ADHD, Massachusetts General Hospital, Boston, MA, USA. 4. Clinical and Research Programs in Pediatric Psychopharmacology and ADHD, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA. Electronic address: jbiederman@partners.org.
Abstract
BACKGROUND: Previous work shows that children with high scores (2SD, combined score≥210) on the Attention Problems, Aggressive Behavior, and Anxious-Depressed (A-A-A) subscales of the Child Behavior Checklist (CBCL) are more likely than other children to meet criteria for bipolar (BP)-I disorder. However, the utility of this profile as a screening tool has remained unclear. METHODS: We compared 140 patients with pediatric BP-I disorder, 83 with attention deficit hyperactivity disorder (ADHD), and 114 control subjects. We defined the CBCL-Severe Dysregulation profile as an aggregate cutoff score of ≥210 on the A-A-A scales. Patients were assessed with structured diagnostic interviews and functional measures. RESULTS: Patients with BP-I disorder were significantly more likely than both control subjects (Odds Ratio [OR]: 173.2; 95% Confidence Interval [CI], 21.2 to 1413.8; P<0.001) and those with ADHD (OR: 14.6; 95% CI, 6.2 to 34.3; P<0.001) to have a positive CBCL-Severe Dysregulation profile. Receiver Operating Characteristics analyses showed that the area under the curve for this profile comparing children with BP-I disorder against control subjects and those with ADHD was 99% and 85%, respectively. The corresponding positive predictive values for this profile were 99% and 92% with false positive rates of <0.2% and 8% for the comparisons with control subjects and patients with ADHD, respectively. LIMITATIONS: Non-clinician raters administered structured diagnostic interviews, and the sample was referred and largely Caucasian. CONCLUSIONS: The CBCL-Severe Dysregulation profile can be useful as a screen for BP-I disorder in children in clinical practice.
BACKGROUND: Previous work shows that children with high scores (2SD, combined score≥210) on the Attention Problems, Aggressive Behavior, and Anxious-Depressed (A-A-A) subscales of the Child Behavior Checklist (CBCL) are more likely than other children to meet criteria for bipolar (BP)-I disorder. However, the utility of this profile as a screening tool has remained unclear. METHODS: We compared 140 patients with pediatric BP-I disorder, 83 with attention deficit hyperactivity disorder (ADHD), and 114 control subjects. We defined the CBCL-Severe Dysregulation profile as an aggregate cutoff score of ≥210 on the A-A-A scales. Patients were assessed with structured diagnostic interviews and functional measures. RESULTS:Patients with BP-I disorder were significantly more likely than both control subjects (Odds Ratio [OR]: 173.2; 95% Confidence Interval [CI], 21.2 to 1413.8; P<0.001) and those with ADHD (OR: 14.6; 95% CI, 6.2 to 34.3; P<0.001) to have a positive CBCL-Severe Dysregulation profile. Receiver Operating Characteristics analyses showed that the area under the curve for this profile comparing children with BP-I disorder against control subjects and those with ADHD was 99% and 85%, respectively. The corresponding positive predictive values for this profile were 99% and 92% with false positive rates of <0.2% and 8% for the comparisons with control subjects and patients with ADHD, respectively. LIMITATIONS: Non-clinician raters administered structured diagnostic interviews, and the sample was referred and largely Caucasian. CONCLUSIONS: The CBCL-Severe Dysregulation profile can be useful as a screen for BP-I disorder in children in clinical practice.
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