From the center of Cognitive and Sleeping, The people's hospital of Guangxi Zhuang autonomous region, Nanning, 530021, Guangxi, China.
BMC Psychiatry. 2018 Dec 12;18(1):386. doi: 10.1186/s12888-018-1970-x.
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental characterized by attention deficit, hyperactivity, emotional impulses and difficulty with cognitive functions. The Das-Naglieri Cognitive Assessment System (DN: CAS), as a theory-driven assessment kit, was explored based on Planning, Attention, Simultaneous, and Successive Theory (PASS). Recent researches have tried to explore the sensitivity and specificity of DN: CAS in diagnosing ADHD; nevertheless, these studies were performed in a small study population. The following study explores the cognitive functions in ADHD by the DN: CAS and to evaluate the DN: CAS's diagnostic value in ADHD.
A total of 135 children with ADHD and 140 healthy controls were enrolled to evaluate cognitive function by the DN: CAS. ROC curve and the area under the curve (AUC) were applied to evaluate the diagnostic value of DN: CAS on ADHD.
Compared with healthy controls, children with ADHD had significantly lower scores in Planning, Simultaneous (Verbal-Spatial Relations), Attention in the four Subtests of DN: CAS, as well as the total scores. ROC analysis indicated that Planning and Attention of DN: CAS had good classification accuracy in diagnosing ADHD with AUCs of 0.808 and 0.730, respectively.
The planning and attention assessment of DN: CAS revealed high sensitivity and specificity in diagnosing ADHD, thus suggesting that DN: CAS might be an effective tool in diagnosing ADHD.
注意缺陷多动障碍(ADHD)是一种神经发育障碍,其特征为注意力缺陷、多动、情绪冲动和认知功能障碍。Das-Naglieri 认知评估系统(DN:CAS)是一种基于计划、注意、同时性和继时性理论(PASS)的理论驱动评估工具。最近的研究试图探索 DN:CAS 在诊断 ADHD 中的敏感性和特异性,但这些研究的研究对象规模较小。本研究通过 DN:CAS 探讨 ADHD 患者的认知功能,并评估 DN:CAS 在 ADHD 中的诊断价值。
共纳入 135 名 ADHD 患儿和 140 名健康对照者,采用 DN:CAS 评估认知功能。应用 ROC 曲线和曲线下面积(AUC)评估 DN:CAS 对 ADHD 的诊断价值。
与健康对照组相比,ADHD 患儿在 DN:CAS 的四个子测试中的计划和注意力得分以及总分明显较低,言语-空间关系的同时性得分也较低。ROC 分析表明,DN:CAS 的计划和注意力评估对诊断 ADHD 具有良好的分类准确性,AUC 分别为 0.808 和 0.730。
DN:CAS 的计划和注意力评估在诊断 ADHD 方面具有较高的敏感性和特异性,提示 DN:CAS 可能是诊断 ADHD 的有效工具。