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基于健康老龄化和非遗忘型轻度认知障碍的规范数据构建的画钟测验评分系统的可靠性。

The Reliability of Clock Drawing Test Scoring Systems Modeled on the Normative Data in Healthy Aging and Nonamnestic Mild Cognitive Impairment.

机构信息

1 Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University in Prague, Prague, Czech Republic.

2 International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic.

出版信息

Assessment. 2017 Oct;24(7):945-957. doi: 10.1177/1073191116632586. Epub 2016 Mar 1.

Abstract

The Clock Drawing Test (CDT) is a commonly used tool in clinical practice and research for cognitive screening among older adults. The main goal of the present study was to analyze the interrater reliability of three different CDT scoring systems (by Shulman et al., Babins et al., and Cohen et al.). We used a clock with a predrawn circle. The CDT was evaluated by three independent raters based on the normative data set of healthy older and very old adults and patients with nonamnestic mild cognitive impairment (naMCI; N = 438; aged 61-94). We confirmed a high interrater reliability measured by the intraclass correlation coefficients (ICCs): Shulman ICC = .809, Babins ICC = .894, and Cohen ICC = .862, all p < .001. We found that age and education levels have a significant effect on CDT performance, yet there was no influence of gender. Finally, the scoring systems differentiated between naMCI and age- and education-matched controls: Shulman's area under the receiver operating characteristic curve (AUC) = .84, Cohen AUC = .71, all p < .001; and a slightly lower discriminative ability was shown by Babins: AUC = .65, p = .012.

摘要

画钟测验(CDT)是临床实践和研究中老年认知筛查的常用工具。本研究的主要目的是分析三种不同 CDT 评分系统(Shulman 等、Babins 等和 Cohen 等)的评分者间信度。我们使用了一个带有预画圆圈的钟。根据健康的老年和非常老年成年人以及非遗忘性轻度认知障碍(naMCI;N=438;年龄 61-94 岁)的正常数据集,由三名独立的评分者对 CDT 进行评估。我们通过组内相关系数(ICCs)证实了高评分者间信度:Shulman ICC=.809,Babins ICC=.894,Cohen ICC=.862,所有 p 值均<.001。我们发现年龄和教育水平对 CDT 表现有显著影响,但性别无影响。最后,评分系统可区分 naMCI 和年龄及教育匹配的对照组:Shulman 的受试者工作特征曲线下面积(AUC)为.84,Cohen AUC=.71,所有 p 值均<.001;而 Babins 的区分能力略低:AUC=.65,p=.012。

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