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蒙特利尔认知评估量表快速版(MoCA XpressO):一种数字自我管理认知预筛工具的验证。

Montreal Cognitive Assessment (MoCA) XpressO: Validation of a digital self-administered cognitive prescreening tool.

机构信息

McGill University, Montreal, Quebec, Canada.

MoCA Cognition, Greenfield Park, Quebec, Canada.

出版信息

J Am Geriatr Soc. 2024 Aug;72(8):2516-2522. doi: 10.1111/jgs.18902. Epub 2024 Apr 1.

Abstract

BACKGROUND

The need for cognitive testing is increasing with the aging population and the advent of new Alzheimer disease therapies. To respond to the increased demand, the XpressO was developed as a self-administered digital cognitive prescreening tool that will help distinguish between populations of subjective and objective cognitive impairment according to the Montreal Cognitive Assessment (MoCA).

METHODS

This is a prospective validation study. XpressO is composed of tasks that assess memory and executive functions. It is validated compared to the digital MoCA as a gold standard. Out of 118 participants screened from the MoCA Clinic and a family practice clinic, 88 met inclusion criteria, two participants had missing data due to incomplete tasks, 86 participants were included in the analysis; the mean age was 70.34 years. A logistic regression model was built, and its accuracy was evaluated by the sensitivity, specificity, and Area Under the Curve (AUC) of the Receiver Operating Characteristic.

RESULTS

Analysis showed strong correlation between (1) XpressO memory tasks scores and the MoCA Memory Index Score (p-values < 0.001), and between (2) XpressO sub-test scores and MoCA total score (p-values < 0.005). The AUC for predicting MoCA performance is 0.845. To classify individuals with normal and abnormal MoCA scores, two threshold values were introduced for the total XpressO scores: sensitivity of 91% at a cutoff of 72, specificity of 90% at a cutoff of 42, and an undetermined range in between.

CONCLUSION

XpressO demonstrated high AUC, high sensitivity and specificity to predict cognitive performance compared to the digital MoCA. It may provide efficient cognitive prescreening by identifying individuals who would benefit from further clinical assessments, potentially reducing waiting times and high burden on healthcare clinics.

摘要

背景

随着人口老龄化和新的阿尔茨海默病治疗方法的出现,对认知测试的需求不断增加。为了满足这一需求的增长,开发了 XpressO 作为一种自我管理的数字认知预筛查工具,它将根据蒙特利尔认知评估(MoCA)来帮助区分主观和客观认知障碍的人群。

方法

这是一项前瞻性验证研究。XpressO 由评估记忆和执行功能的任务组成。它通过与数字 MoCA 作为金标准进行验证。从 MoCA 诊所和家庭诊所筛选出 118 名参与者,88 名符合纳入标准,2 名参与者由于任务不完整而缺失数据,86 名参与者纳入分析;平均年龄为 70.34 岁。建立了逻辑回归模型,并通过灵敏度、特异性和接收者操作特征曲线(ROC)的曲线下面积(AUC)来评估其准确性。

结果

分析显示,(1)XpressO 记忆任务分数与 MoCA 记忆指数评分之间存在很强的相关性(p 值<0.001),(2)XpressO 子测试分数与 MoCA 总分之间存在很强的相关性(p 值<0.005)。预测 MoCA 表现的 AUC 为 0.845。为了对 MoCA 评分正常和异常的个体进行分类,引入了两个总 XpressO 分数的阈值:总分为 72 时的截断值为 91%的灵敏度,总分为 42 时的截断值为 90%的特异性,以及两者之间的不确定范围。

结论

与数字 MoCA 相比,XpressO 显示出较高的 AUC、高灵敏度和特异性,可预测认知表现。它可以通过识别那些可能从进一步临床评估中受益的个体,有效地进行认知预筛查,潜在地减少等待时间和对医疗诊所的高负担。

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