Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Department of Anatomy and Neurobiology, School of Medicine, Boston University, Boston, MA, United States.
J Med Internet Res. 2021 Jun 8;23(6):e27407. doi: 10.2196/27407.
The Clock Drawing Test (CDT) has been widely used in clinic for cognitive assessment. Recently, a digital Clock Drawing Text (dCDT) that is able to capture the entire sequence of clock drawing behaviors was introduced. While a variety of domain-specific features can be derived from the dCDT, it has not yet been evaluated in a large community-based population whether the features derived from the dCDT correlate with cognitive function.
We aimed to investigate the association between dCDT features and cognitive performance across multiple domains.
Participants from the Framingham Heart Study, a large community-based cohort with longitudinal cognitive surveillance, who did not have dementia were included. Participants were administered both the dCDT and a standard protocol of neuropsychological tests that measured a wide range of cognitive functions. A total of 105 features were derived from the dCDT, and their associations with 18 neuropsychological tests were assessed with linear regression models adjusted for age and sex. Associations between a composite score from dCDT features were also assessed for associations with each neuropsychological test and cognitive status (clinically diagnosed mild cognitive impairment compared to normal cognition).
The study included 2062 participants (age: mean 62, SD 13 years, 51.6% women), among whom 36 were diagnosed with mild cognitive impairment. Each neuropsychological test was associated with an average of 50 dCDT features. The composite scores derived from dCDT features were significantly associated with both neuropsychological tests and mild cognitive impairment.
The dCDT can potentially be used as a tool for cognitive assessment in large community-based populations.
画钟测验（CDT）已广泛应用于临床认知评估。最近，引入了一种能够捕捉整个画钟行为序列的数字画钟文本（dCDT）。虽然可以从 dCDT 中提取出各种特定领域的特征，但尚未在大型基于社区的人群中评估从 dCDT 中提取的特征是否与认知功能相关。
我们旨在研究 dCDT 特征与多个认知领域的认知表现之间的关联。
纳入来自弗雷明汉心脏研究（Framingham Heart Study）的参与者，这是一个具有纵向认知监测的大型基于社区的队列，且参与者没有痴呆。参与者接受了 dCDT 和标准神经心理测试协议的评估，该协议测量了广泛的认知功能。从 dCDT 中总共提取了 105 个特征，并使用线性回归模型评估它们与 18 个神经心理测试之间的关联，该模型调整了年龄和性别。还评估了 dCDT 特征综合评分与每个神经心理测试和认知状态（与正常认知相比，临床诊断为轻度认知障碍）之间的关联。
该研究纳入了 2062 名参与者（年龄：平均 62 岁，标准差 13 岁，51.6%为女性），其中 36 名参与者被诊断为轻度认知障碍。每个神经心理测试与平均 50 个 dCDT 特征相关。从 dCDT 特征中提取的综合评分与神经心理测试和轻度认知障碍均显著相关。
dCDT 可能可作为大型基于社区人群认知评估的工具。
