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蒙特利尔认知评估:用于轻度认知障碍和阿尔茨海默病的验证研究。

Montreal cognitive assessment: validation study for mild cognitive impairment and Alzheimer disease.

机构信息

Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal.

出版信息

Alzheimer Dis Assoc Disord. 2013 Jan-Mar;27(1):37-43. doi: 10.1097/WAD.0b013e3182420bfe.

DOI:10.1097/WAD.0b013e3182420bfe
PMID:22193353
Abstract

The Montreal Cognitive Assessment (MoCA) was recently proposed as a cognitive screening test for milder forms of cognitive impairment, having surpassed the well-known limitations of the Mini-Mental State Examination (MMSE). This study aims to validate the MoCA for screening Mild Cognitive Impairment (MCI) and Alzheimer disease (AD) through an analysis of diagnostic accuracy and the proposal of cut-offs. Patients were classified into 2 clinical groups according to standard criteria: MCI (n=90) and AD (n=90). The 2 control groups (C-MCI: n=90; C-AD: n=90) consisted of cognitively healthy community dwellers selected to match patients in sex, age, and education. The MoCA showed consistently superior psychometric properties compared with the MMSE, and higher diagnostic accuracy to discriminate between MCI (area under the curve=0.856; 95% confidence interval, 0.796-0.904) and AD patients (area under the curve=0.980; 95% confidence interval, 0.947-0.995). At an optimal cut-off of below 22 for MCI and below 17 for AD, the MoCA achieved significantly superior values in comparison with MMSE for sensitivity, specificity, positive predictive value, negative predictive value, and classification accuracy. Furthermore, the MoCA revealed higher sensitivity to cognitive decline in longitudinal monitoring. This study provides robust evidence that the MoCA is a better cognitive tool than the widely used MMSE for the screening and monitoring of MCI and AD in clinical settings.

摘要

蒙特利尔认知评估(MoCA)最近被提出作为轻度认知障碍的认知筛查测试,它已经超越了广为人知的简易精神状态检查(MMSE)的局限性。本研究旨在通过分析诊断准确性并提出截断值,验证 MoCA 用于筛查轻度认知障碍(MCI)和阿尔茨海默病(AD)。根据标准标准,患者被分为 2 个临床组:MCI(n=90)和 AD(n=90)。2 个对照组(C-MCI:n=90;C-AD:n=90)由认知健康的社区居民组成,选择这些居民是为了在性别、年龄和教育程度上与患者相匹配。MoCA 显示出比 MMSE 更优越的心理测量特性,并且在区分 MCI(曲线下面积=0.856;95%置信区间,0.796-0.904)和 AD 患者方面具有更高的诊断准确性(曲线下面积=0.980;95%置信区间,0.947-0.995)。在 MCI 的最佳截断值低于 22 和 AD 的最佳截断值低于 17 的情况下,MoCA 在敏感性、特异性、阳性预测值、阴性预测值和分类准确性方面与 MMSE 相比具有显著更高的值。此外,MoCA 在纵向监测中显示出对认知下降的更高敏感性。这项研究提供了有力的证据,表明 MoCA 是一种比广泛使用的 MMSE 更好的认知工具,用于在临床环境中筛查和监测 MCI 和 AD。

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