Validation study of the Alzheimer's disease assessment scale-cognitive subscale (ADAS-Cog) for the Portuguese patients with mild cognitive impairment and Alzheimer's disease
Validation study of the Alzheimer's disease assessment scale-cognitive subscale (ADAS-Cog) for the Portuguese patients with mild cognitive impairment and Alzheimer's disease
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DOI：
10.1080/13854046.2018.1454511
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发表时间：
2018-11-30
影响因子：
3.9
通讯作者：
Santana, Isabel
中科院分区：
文献类型：
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作者：
Nogueira, Joana;Freitas, Sandra;Santana, Isabel
目的：阿尔茨海默病评定量表-认知子量表(ADAS-CoG)是根据阿尔茨海默病认知功能减退的核心特征：记忆、语言、实践、建构能力和定向力而开发的，是用于评估阿尔茨海默病(AD)认知功能的成套工具。本研究的目的是探讨ADAS-Cog对轻度认知损害(MCI)和阿尔茨海默病(AD)的诊断准确性和区分能力，并使用葡萄牙人的分界点。方法：采用欧洲葡萄牙语版ADAS-Cog对650名受试者进行测试，分为对照组(n=210)、MCI组(n=240)和AD组(n=200)。临床组符合国际标准诊断标准。控制组是积极融入社区的健康认知参与者。神经心理评估方案包括ADAS-Cog、简易精神状态检查(MMSE)、蒙特利尔认知评估(MoCA)和成人和老年人功能评估问卷(IAFAI)。结果：ADAS-Cog显示良好的心理测量学指标，三组间总分差异有统计学意义(p.001：对照组；MCI<；AD)。建立的最佳分界点为：MCI>；9分(AUC=.835；灵敏度=58%，特异度=91%)；AD>；12分(AUC=.996；灵敏度=94%，特异度=98%)。结论：我们的研究结果证实了ADAS-Cog总分能够识别葡萄牙队列中对MCI敏感性较差的AD患者的认知损害。
Objective: The Alzheimer's disease assessment scale-Cognitive Subscale (ADAS-Cog) is a battery to assess cognitive performance in Alzheimer's disease (AD) and was developed according to the core characteristics of cognitive decline in AD: memory, language, praxis, constructive ability, and orientation. The aim of this study was to explore the diagnostic accuracy and discriminative capacity of the ADAS-Cog for Mild Cognitive Impairment (MCI) and AD, using cut-off points for the Portuguese population. Method: The European Portuguese version of the ADAS-Cog was administrated to 650 participants, divided into a control group (n = 210), an MCI group (n = 240), and an AD group (n = 200). The clinical groups fulfilled standard international diagnostic criteria. Controls were healthy cognitive participants actively integrated in the community. The neuropsychological assessment protocol included the ADAS-Cog, the Mini Mental State Examination (MMSE), the Montreal Cognitive Assessment (MoCA), and the Adults and Older Adults Functional Assessment Inventory (IAFAI). Results: The ADAS-Cog revealed good psychometric indicators, and the total scores were significantly different between the three groups (p .001: Control < MCI < AD). The optimal cut-off points established were: MCI > 9 points (AUC = .835; sensitivity = 58% and specificity = 91%) and AD > 12 points (AUC = .996; sensitivity = 94% and specificity = 98%). Conclusions: Our findings confirmed the capacity of the ADAS-Cog total score to identify cognitive impairment in AD patients, with poor sensitivity for MCI, in a Portuguese cohort.