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基于莫克尺度分析的改良爱丁堡认知评估量表修订版在轻度认知障碍、阿尔茨海默病所致轻度痴呆和行为变异型额颞叶痴呆诊断中的准确性提高。

Improved Accuracy of the Addenbrooke's Cognitive Examination-Revised in the Diagnosis of Mild Cognitive Impairment, Mild Dementia Due to Alzheimer's Disease and Behavioral Variant Frontotemporal Dementia Using Mokken Scale Analysis.

机构信息

Programa de Pós-Graduação em Neurologia, Departamento de Neurologia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.

Behavioral and Cognitive Neurology Unit, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.

出版信息

J Alzheimers Dis. 2024;100(s1):S45-S55. doi: 10.3233/JAD-240554.

DOI:10.3233/JAD-240554
PMID:39031367
Abstract

BACKGROUND

The Addenbrooke's Cognitive Examination-Revised (ACE-R) is an accessible cognitive tool that supports the early detection of mild cognitive impairment (MCI), Alzheimer's disease (AD), and behavioral variant frontotemporal dementia (bvFTD).

OBJECTIVE

To investigate the diagnostic efficacy of the ACE-R in MCI, AD, and bvFTD through the identification of novel coefficients for differentiation between these diseases.

METHODS

We assessed 387 individuals: 102 mild AD, 37 mild bvFTD, 87 with amnestic MCI patients, and 161 cognitively unimpaired controls. The Mokken scaling technique facilitated the extraction out of the 26 ACE-R items that exhibited a common latent trait, thereby generating the Mokken scales for the AD group and the MCI group. Subsequently, we performed logistic regression, integrating each Mokken scales with sociodemographic factors, to differentiate between AD and bvFTD, as well as between AD or MCI and control groups. Ultimately, the Receiver Operating Characteristic curve analysis was employed to assess the efficacy of the coefficient's discrimination.

RESULTS

The AD-specific Mokken scale (AD-MokACE-R) versus bvFTD exhibited an Area Under the Curve (AUC) of 0.922 (88% sensitivity and specificity). The AD-MokACE-R versus controls achieved an AUC of 0.968 (93% sensitivity, 94% specificity). The MCI-specific scale (MCI-MokACE-R) versus controls demonstrated an AUC of 0.859 (78% sensitivity, 79% specificity).

CONCLUSIONS

The ACE-R's capacity is enhanced through statistical methods and demographic integration, allowing for accurate differentiation between AD and bvFTD, as well as between MCI and controls. This new method not only reinforces its clinical value in early diagnosis but also surpasses traditional approaches noted in prior studies.

摘要

背景

阿登布鲁克认知测验修订版(ACE-R)是一种易于使用的认知工具,可支持轻度认知障碍(MCI)、阿尔茨海默病(AD)和行为变异额颞叶痴呆(bvFTD)的早期检测。

目的

通过确定区分这些疾病的新系数,研究 ACE-R 在 MCI、AD 和 bvFTD 中的诊断效果。

方法

我们评估了 387 名个体:102 名轻度 AD、37 名轻度 bvFTD、87 名有记忆障碍的 MCI 患者和 161 名认知正常的对照组。Mokken 评分技术有助于提取出表现出共同潜在特征的 26 个 ACE-R 项目,从而为 AD 组和 MCI 组生成 Mokken 量表。随后,我们进行了逻辑回归,将每个 Mokken 量表与社会人口统计学因素相结合,以区分 AD 和 bvFTD,以及 AD 或 MCI 与对照组。最后,使用接收者操作特征曲线分析评估系数的鉴别效果。

结果

AD 特异性 Mokken 量表(AD-MokACE-R)与 bvFTD 相比,曲线下面积(AUC)为 0.922(88%的敏感性和特异性)。AD-MokACE-R 与对照组相比,AUC 为 0.968(93%的敏感性,94%的特异性)。MCI 特异性量表(MCI-MokACE-R)与对照组相比,AUC 为 0.859(78%的敏感性,79%的特异性)。

结论

通过统计方法和人口统计学整合,增强了 ACE-R 的能力,可准确区分 AD 和 bvFTD 以及 MCI 和对照组。这种新方法不仅增强了其在早期诊断中的临床价值,而且超过了之前研究中提到的传统方法。

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