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格鲁吉亚版蒙特利尔认知评估量表用于筛查轻度认知障碍和痴呆的效度

Validity of the Georgian Montreal Cognitive Assessment for the Screening of Mild Cognitive Impairment and Dementia.

作者信息

Janelidze Marina, Mikeladze Nina, Bochorishvili Nazibrola, Dzagnidze Ann, Kapianidze Mariam, Mikava Nino, Khatiashvili Irene, Kakhiani Darejan, Mirvelashvili Ekaterina, Shiukashvili Nino, Nadareishvili Zurab

机构信息

1 Department of Neurology, Tbilisi State Medical University, Tbilisi, Georgia.

2 Department of Neurology, Simon Khechinashvili University Hospital, Tbilisi, Georgia.

出版信息

Am J Alzheimers Dis Other Demen. 2017 Feb;32(1):36-40. doi: 10.1177/1533317516679304. Epub 2016 Dec 19.

Abstract

Montreal Cognitive Assessment (MoCA) test has been shown to be a reliable tool to detect mild cognitive impairment (MCI), however, no Georgian language version exists. The goal of this study is to determine the validity, reliability, and accuracy of Georgian version of MoCA in the evaluation of amnestic MCI (aMCI) and Alzheimer's disease (AD). Montreal Cognitive Assessment was translated into Georgian language and was administered to healthy participants (HP) and patients with aMCI and AD. We studied 46 HS, 20 patients with aMCI, and 20 patients with AD. There was significant difference in MoCA scores between HP, patients with aMCI, and patients with AD ( P = 0.04). The area under the receiver operating characteristic curve for the aMCI and AD groups by MoCA was 0.88 and 0.95, respectively, compared to 0.43 and 0.67 by Mini-Mental State Examination (MMSE). The Georgian version of MoCA is a valid, reliable, and sensitive screening tool to detect aMCI and AD in Georgian-speaking population and is superior to MMSE.

摘要

蒙特利尔认知评估量表(MoCA)已被证明是检测轻度认知障碍(MCI)的可靠工具,然而,目前尚无格鲁吉亚语版本。本研究的目的是确定格鲁吉亚语版MoCA在评估遗忘型MCI(aMCI)和阿尔茨海默病(AD)方面的有效性、可靠性和准确性。将蒙特利尔认知评估量表翻译成格鲁吉亚语,并对健康参与者(HP)、aMCI患者和AD患者进行测试。我们研究了46名健康受试者、20名aMCI患者和20名AD患者。HP、aMCI患者和AD患者的MoCA评分存在显著差异(P = 0.04)。MoCA用于aMCI组和AD组的受试者工作特征曲线下面积分别为0.88和0.95,而简易精神状态检查表(MMSE)分别为0.43和0.67。格鲁吉亚语版MoCA是一种有效、可靠且敏感的筛查工具,可用于检测说格鲁吉亚语人群中的aMCI和AD,且优于MMSE。

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