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Title: Prepubertal and young adolescent bipolarity versus ADHD: assessment and validity using the WASH-U-KSADS, CBCL and TRF. Author: Geller B, Warner K, Williams M, Zimerman B. Journal: J Affect Disord; 1998 Nov; 51(2):93-100. PubMed ID: 10743842. Abstract: BACKGROUND: This addendum to 'Prepubertal and early adolescent bipolarity differentiate from ADHD by mania criteria; grandiose delusions; ultra-rapid or ultradian cycling' (in this volume) provides (1) a description of Washington University at St. Louis Kiddie Schedule for Affective Disorders and Schizophrenia (WASH-U-KSADS) with sample sections (hypersexuality, rapid cycling); (2) a comparison of WASH-U-KSADS to KSADS-P/L and KSADS-1986 and (3) a comparison of WASH-U-KSADS to Child Behavior Checklist (CBCL) and Teachers Report Form (TRF) data. METHODS: Data were from the first 60 bipolar (BP) and first 60 ADHD subjects of 270 consecutively ascertained cases (90 BP, 90 ADHD and 90 community controls) in the NIMH funded 'Phenomenology and Course of Pediatric Bipolarity' study. Comprehensive assessments included the WASH-U-KSADS (administered blindly to mothers and separately to children), CBCL and TRF. RESULTS: As reported elsewhere in this volume, WASH-U-KSADS data significantly differentiated BP and ADHD groups. Significant differences were also found with the parent-rated CBCL and the teacher-rated TRF, thereby providing cross-modality and cross-informant validation of the WASH-U-KSADS. Because of the close agreement with published CBCL data from another investigator, cross-site validation also occurred. LIMITATIONS: Venues for consecutive ascertainment from the lowest socioeconomic status classes were unavailable due to current health care policies. CLINICAL RELEVANCE: CBCL and TRF data separated BP from ADHD groups, largely by non-specific externalizing dimensions (e.g., hyperactivity, aggressivity). Clinically relevant differentiation by categorical mania-specific criteria (e.g., elated mood, grandiosity, racing thoughts) occurred with WASH-U-KSADS data. Both types of data are crucial for genetic and neurobiological studies.[Abstract] [Full Text] [Related] [New Search]