Department of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Yunnan Provincial Clinical Research Center for Neurological Diseases, Yunnan, China.
J Alzheimers Dis. 2021;80(3):1257-1267. doi: 10.3233/JAD-200936.
A valid, reliable, accessible, engaging, and affordable digital cognitive screen instrument for clinical use is in urgent demand.
To assess the clinical utility of the MemTrax memory test for early detection of cognitive impairment in a Chinese cohort.
The 2.5-minute MemTrax and the Montreal Cognitive Assessment (MoCA) were performed by 50 clinically diagnosed cognitively normal (CON), 50 mild cognitive impairment due to AD (MCI-AD), and 50 Alzheimer's disease (AD) volunteer participants. The percentage of correct responses (MTx-% C), the mean response time (MTx-RT), and the composite scores (MTx-Cp) of MemTrax and the MoCA scores were comparatively analyzed and receiver operating characteristic (ROC) curves generated.
Multivariate linear regression analyses indicated MTx-% C, MTx-Cp, and the MoCA score were significantly lower in MCI-AD versus CON and in AD versus MCI-AD groups (all with p≤0.001). For the differentiation of MCI-AD from CON, an optimized MTx-% C cutoff of 81% had 72% sensitivity and 84% specificity with an area under the curve (AUC) of 0.839, whereas the MoCA score of 23 had 54% sensitivity and 86% specificity with an AUC of 0.740. For the differentiation of AD from MCI-AD, MTx-Cp of 43.0 had 70% sensitivity and 82% specificity with an AUC of 0.799, whereas the MoCA score of 20 had 84% sensitivity and 62% specificity with an AUC of 0.767.
MemTrax can effectively detect both clinically diagnosed MCI and AD with better accuracy as compared to the MoCA based on AUCs in a Chinese cohort.
临床应用中急需一种有效、可靠、易用、引人入胜且价格合理的数字化认知筛查工具。
评估 MemTrax 记忆测试在中国人群中用于早期发现认知障碍的临床效用。
对 50 名临床诊断为认知正常(CON)、50 名轻度认知障碍(MCI-AD)和 50 名阿尔茨海默病(AD)志愿者进行 2.5 分钟的 MemTrax 和蒙特利尔认知评估(MoCA)测试。分析比较 MemTrax 的正确反应百分比(MTx-%C)、平均反应时间(MTx-RT)和综合评分(MTx-Cp)与 MoCA 评分,并生成受试者工作特征(ROC)曲线。
多元线性回归分析表明,MCI-AD 组和 AD 组的 MTx-%C、MTx-Cp 和 MoCA 评分均显著低于 CON 组(均 p≤0.001)。在 MCI-AD 与 CON 的鉴别中,MTx-%C 优化截断值为 81%时,灵敏度为 72%,特异度为 84%,曲线下面积(AUC)为 0.839;MoCA 评分 23 时,灵敏度为 54%,特异度为 86%,AUC 为 0.740。在 AD 与 MCI-AD 的鉴别中,MTx-Cp 截断值为 43.0 时,灵敏度为 70%,特异度为 82%,AUC 为 0.799;MoCA 评分 20 时,灵敏度为 84%,特异度为 62%,AUC 为 0.767。
与 MoCA 相比,MemTrax 基于 AUC 在中国人队列中能更准确地有效检测出临床诊断的 MCI 和 AD。