Background: The Montreal Cognitive Assessment (MoCA) is an effective and applicable screening instrument to confirm the diagnosis of amnestic mild cognitive impairment (aMCI) from patients with Alzheimer’s disease (AD) and healthy controls (HCs). Objectives: This study aimed to determine the reliability and validity of the following: (a) Thai translation of the MoCA (MoCA-Thai) and (b) delineate the key features of aMCI based on the MoCA subdomains. Methods: This study included 60 HCs, 61 aMCI patients, and 60 AD patients. The MoCA-Thai shows adequate psychometric properties including internal consistency, concurrent validity, test-retest validity, and inter-rater reliability. Results: The MoCA-Thai may be employed as a diagnostic criterion to make the diagnosis of aMCI, whereby aMCI patients are discriminated from HC with an area under the receiver-operating characteristic (AUC-ROC) curve of 0.813 and from AD patients with an AUC-ROC curve of 0.938. The best cutoff scores of the MoCA-Thai to discriminate aMCI from HC is ≤24 and from AD #x3e; 16. Neural network analysis showed that (a) aberrations in recall was the most important feature of aMCI versus HC with impairments in language and orientation being the second and third most important features and (b) aberrations in visuospatial skills and executive functions were the most important features of AD versus aMCI and that impairments in recall, language, and orientation but not attention, concentration, and working memory, further discriminated AD from aMCI. Conclusions: The MoCA-Thai is an appropriate cognitive assessment tool to be used in the Thai population for the diagnosis of aMCI and AD.
Dement Geriatr Cogn Disord

中文翻译：

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使用蒙特利尔认知评估泰语版区分阿尔茨海默病和健康对照的遗忘性轻度认知障碍：机器学习结果

背景：蒙特利尔认知评估 (MoCA) 是一种有效且适用的筛查工具，可用于确认阿尔茨海默病 (AD) 患者和健康对照 (HC) 的遗忘性轻度认知障碍 (aMCI) 的诊断。目标：本研究旨在确定以下内容的可靠性和有效性：(a) MoCA (MoCA-Thai) 的泰语翻译和 (b) 基于 MoCA 子域描述 aMCI 的主要特征。方法：本研究包括 60 名 HC、61 名 aMCI 患者和 60 名 AD 患者。MoCA-Thai 显示出足够的心理测量特性，包括内部一致性、同时效度、重测效度和评分者间的信度。结果：MoCA-Thai 可用作诊断 aMCI 的诊断标准，由此将 aMCI 患者与接受者操作特征 (AUC-ROC) 曲线下面积为 0.813 的 HC 和 AUC- ROC 曲线为 0.938。MoCA-Thai 区分 aMCI 和 HC 的最佳截止分数≤24 和 AD #x3e；16. 神经网络分析表明，(a) 回忆异常是 aMCI 与 HC 最重要的特征，语言和方向障碍是第二和第三重要的特征，(b) 视觉空间技能和执行功能的异常是最重要的AD 与 aMCI 的重要特征以及在回忆、语言和方向上的损害，但不是注意力、注意力和工作记忆，进一步将 AD 与 aMCI 区分开来。结论： MoCA-Thai 是一种合适的认知评估工具，适用于泰国人群，用于诊断 aMCI 和 AD。
老年痴呆症认知障碍