Spencer Andrea E, Plasencia Natalie, Sun Ying, Lucke Cara, Haile Haregnesh, Cronin Rebecca, Faraone Stephen V, Jellinek Michael, Murphy J Michael, Biederman Joseph
1 Boston Medical Center, Boston, MA, USA.
2 Boston University, Boston, MA, USA.
Clin Pediatr (Phila). 2018 Oct;57(12):1442-1452. doi: 10.1177/0009922818787329. Epub 2018 Jul 13.
We tested the accuracy of 2 parent-report tools, the Pediatric Symptom Checklist (PSC-35) and Child Behavior Checklist (CBCL), to identify attention-deficit/hyperactivity disorder (ADHD) and distinguish complex (highly comorbid) cases in an urban, largely Latino pediatric practice. Spanish- and English-speaking parents of children aged 6 to 10 years completed a PSC-35 and CBCL at well visits. Those with CBCL Attention Problems Subscale (CBCL-APS) T scores ≥60 plus controls completed the diagnostic MINI-KID (Miniature International Neuropsychiatric Interview) for Children. Receiver operating characteristic (ROC) curves quantified accuracy of both scales to distinguish ADHD from non-ADHD, and complex from simple ADHD. Two hundred and nine children were screened, and 41 completed diagnostic interviews. Both the CBCL-APS and PSC Attention Scale (PSC-AS) accurately identified ADHD; the CBCL-APS performed best (AUROC = 0.837; AUROC = 0.728). The PSC Total and Internalizing Scores and the number of CBCL subscale elevations accurately distinguished complex from simple ADHD; the PSC Internalizing Score performed best (AUROC = 0.700; AUROC = 0.817; AUROC = 0.762).
我们测试了两种家长报告工具——儿童症状清单（PSC - 35）和儿童行为清单（CBCL）在城市中一个主要为拉丁裔儿童的儿科诊所里识别注意力缺陷/多动障碍（ADHD）以及区分复杂（高度共病）病例的准确性。6至10岁儿童的西班牙语和英语家长在健康检查时完成了PSC - 35和CBCL。那些CBCL注意力问题分量表（CBCL - APS）T分数≥60的儿童以及对照组儿童完成了针对儿童的诊断性迷你国际神经精神病学访谈（MINI - KID）。受试者工作特征（ROC）曲线量化了这两种量表区分ADHD与非ADHD以及复杂ADHD与单纯ADHD的准确性。共筛查了209名儿童，其中41名完成了诊断性访谈。CBCL - APS和PSC注意力量表（PSC - AS）都能准确识别ADHD；CBCL - APS表现最佳（曲线下面积 = 0.837；曲线下面积 = 0.728）。PSC总分和内化分数以及CBCL分量表升高的数量能准确区分复杂ADHD与单纯ADHD；PSC内化分数表现最佳（曲线下面积 = 0.700；曲线下面积 = 0.817；曲线下面积 = 0.762）。
