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意大利简易精神状态检查表(MMSE)更新后的规范框架在轻度认知障碍(MCI)和痴呆中的筛查特性。

Screening properties of the updated normative framework for the Italian MMSE in MCI and dementia.

作者信息

Aiello Edoardo Nicolò, Verde Federico, Curti Beatrice, De Luca Giulia, Diana Lorenzo, Sirtori Martina Andrea, Maranzano Alessio, Curatoli Chiara, Zanin Alice, Camporeale Elisa, Gnesa Alessandra, Silani Vincenzo, Bolognini Nadia, Ticozzi Nicola, Poletti Barbara

机构信息

Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy.

Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy.

出版信息

Neurol Sci. 2025 May;46(5):2073-2080. doi: 10.1007/s10072-024-07952-4. Epub 2025 Jan 8.

Abstract

BACKGROUND

This study aimed to assess the screening properties of Foderaro et al.s' updated normative framework for the Italian MMSE in detecting mild cognitive impairment (MCI) and dementia due to neurodegenerative, chronic cerebrovascular, and mixed etiologies, as well as in differentiating between these two syndromes.

METHODS

Data on 234 patients with either MCI (N = 83) or dementia (N = 151) due to Alzheimer's disease (N = 112), Lewy body disease (N = 11), frontotemporal lobar degeneration (N = 20), chronic cerebrovascular disease (N = 39), or mixed (N = 47) etiologies having been administered Foderaro et al.'s version of the MMSE were retrospectively recruited. Moreover, N = 247 healthy controls (HCs) with a normal Montreal Cognitive Assessment performance were prospectively recruited. Receiver-operating characteristics analyses were run to test the capability of both raw and demographically adjusted MMSE scores to discriminate both HCs from MCI/dementia and MCI from dementia. For these comparisons, screening metrics were also computed at Foderaro et al.'s cut-off (<26.02).

RESULTS

The capability of demographically adjusted MMSE scores to discriminate both HCs from dementia and MCI from dementia was excellent (AUC = 0.91 and 0.93, respectively), whilst good for MCI case-finding (AUC = 0.85). Consistently, the screening metrics associated with the cut-off at hand were optimal-to-excellent for dementia case-finding (sensitivity = 0.95; specificity = 0.99) and for the differentiation between MCI and dementia (sensitivity = 0.95; specificity = 0.64), whilst imbalanced for detecting MCI (sensitivity = 0.35; specificity = 0.99).

DISCUSSION

Foderaro et al.'s updated normative framework for the Italian MMSE has optimal screening properties for both dementia case-finding and the discrimination between MCI and dementia, being at variance unbalanced towards specificity when it comes to detecting MCI.

摘要

背景

本研究旨在评估Foderaro等人更新后的意大利版简易精神状态检查表(MMSE)的规范框架在检测轻度认知障碍(MCI)以及由神经退行性、慢性脑血管病和混合病因导致的痴呆方面的筛查特性,以及区分这两种综合征的能力。

方法

回顾性招募了234例患有MCI(n = 83)或痴呆(n = 151)的患者,病因包括阿尔茨海默病(n = 112)、路易体病(n = 11)、额颞叶变性(n = 20)、慢性脑血管病(n = 39)或混合病因(n = 47),这些患者均接受了Foderaro等人版本的MMSE检查。此外,前瞻性招募了n = 247名蒙特利尔认知评估表现正常的健康对照(HC)。进行了受试者操作特征分析,以测试原始MMSE分数和经人口统计学调整后的MMSE分数区分HC与MCI/痴呆以及区分MCI与痴呆的能力。对于这些比较,还按照Foderaro等人设定的临界值(<26.02)计算了筛查指标。

结果

经人口统计学调整后的MMSE分数区分HC与痴呆以及区分MCI与痴呆的能力极佳(曲线下面积分别为0.91和0.93),而在发现MCI方面表现良好(曲线下面积 = 0.85)。同样,与手头临界值相关的筛查指标在发现痴呆方面(灵敏度 = 0.95;特异度 = 0.99)以及区分MCI与痴呆方面(灵敏度 = 0.95;特异度 = 0.64)为最佳至极佳,而在检测MCI方面不均衡(灵敏度 = 0.35;特异度 = 0.99)。

讨论

Foderaro等人更新后的意大利版MMSE规范框架在发现痴呆以及区分MCI与痴呆方面具有最佳筛查特性,但在检测MCI时偏向特异度,存在不均衡性。

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