Abstract

Objectives

To evaluate the reliability and validity of Chinese version of Addenbrooke’s Cognitive Examination III (ACE-III-CV) in the identification of mild cognitive impairment (MCI), and further investigate the optimal cutoff scores according to different age and education level.

Method

A total of 716 individuals aged from 50 to 90 years old were recruited through internet-based and print advertisements, including 431 cognitively normal controls (NC) and 285 individuals with MCI according to an actuarial neuropsychological method put forward by Jak and Bondi. Besides the cognitive screening tests of ACE-III-CV, Mini-Mental State Examination (MMSE) and Chinese version of Montreal Cognitive Assessment-Basic (MoCA-BC), all the participants underwent a battery of standardized neuropsychological tests. Validations of the ACE-III-CV, MMSE, and MoCA-BC for detecting MCI from NC were determined by Receiver operating characteristic (ROC) curves.

Results

ACE-III-CV had a good reliability (Cronbach’s coefficient α = 0.807, intraclass correlation coefficients for interrater and test-retest reliability were 0.95 and 0.93). According to the area under ROC curve (AUC), ACE-III-CV and MoCA-BC showed better ability than MMSE in detecting MCI. No significant difference was found between ACE-III-CV and MoCA-BC. The optimal cutoff scores of ACE-III-CV for screening MCI were 72 for individuals with 1-9 years of education, 78 for individuals with 10-15 years of education, and 80 for individuals with more than 16 years of education.

Conclusion

The Chinese version of ACE-III-CV is a reliable and valid screening tool for detecting MCI. The optimal cutoff scores are closely related with education level.

中文翻译：

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中文版阿登布鲁克认知测验III在检测轻度认知障碍中的验证

摘要

目标

为了评估中文版阿登布鲁克认知考试III（ACE-III-CV）在识别轻度认知障碍（MCI）中的可靠性和有效性，并根据不同的年龄和受教育程度进一步探讨最佳临界分值。

方法

根据雅克（Jak）和邦迪（Bondi）提出的一种精算神经心理学方法，通过互联网和印刷广告招募了716名年龄在50至90岁之间的人，包括431名认知正常对照（NC）和285名MCI人。除了ACE-III-CV的认知筛查测试，小精神状态检查（MMSE）和中文版的蒙特利尔认知评估基础（MoCA-BC）外，所有参与者都接受了一系列标准化的神经心理学测试。ACE-III-CV，MMSE和MoCA-BC用于从NC中检测MCI的有效性由接收器工作特性（ROC）曲线确定。

结果

ACE-III-CV具有良好的可靠性（Cronbach系数α= 0.807，内层间相关系数和重测可靠性分别为0.95和0.93）。根据ROC曲线下的面积（AUC），ACE-III-CV和MoCA-BC在检测MCI方面比MMSE更好。ACE-III-CV和MoCA-BC之间没有发现显着差异。筛选MCI的ACE-III-CV的最佳截断分数是：受过1-9年教育的人为72，受过10-15年教育的人为78，受过16年以上教育的人为80。

结论

中文版ACE-III-CV是检测MCI的可靠有效的筛选工具。最佳截止分数与教育水平密切相关。