Digital Cognitive Assessment for Older Adults: Validation of an Automated Three-Module Tool for Mild Cognitive Impairment and Dementia Screening.

IF 2.5 4区医学 Q3 CLINICAL NEUROLOGY

Dementia and Geriatric Cognitive Disorders Pub Date : 2026-03-17 DOI:10.1159/000549530

Dong-Ni Pan, Hailun Xie, Juejing Ren, Ji Shen, Jing Li, Yanjia Zeng, Wen Wang, Dingyao Fan, Gui Xue

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引用次数: 0

Abstract

Introduction: With the aging global population, effective screening tools for age-related cognitive disorders are urgently needed. Mild cognitive impairment (MCI), a transitional stage between normal aging and dementia, requires early detection for timely intervention.

Methods: The current research developed an innovative electronic assessment tool designed with three task modules targeting executive function, memory binding, and spatial navigation to quickly screen for MCI in older adults. A validation study was conducted with 271 older participants, aged 56 to 89, comprising 138 individuals with MCI and 133 cognitively normal controls. An independent dataset from a community hospital was used for further confirmation.

Results: The validation study indicated excellent reliability and validity, achieving 72% accuracy in distinguishing MCI from cognitively normal individuals, with excellent screening power (AUC = 0.807; 95% CI: 0.756-0.858). This performance surpasses that of the paper-and-pencil Mini-Mental State Examination (MMSE). The independent dataset from a community hospital further confirmed that the tool achieved a good accuracy rate of 93% (26/28) in predicting MCI.

Conclusion: These results provide strong tool support for the early identification of MCI, enhancing the effective management of cognitive decline in at-risk elderly individuals.

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老年人数字认知评估：轻度认知障碍和痴呆筛查自动三模块工具的验证。

随着全球人口老龄化，迫切需要有效的年龄相关认知障碍筛查工具。轻度认知障碍（Mild Cognitive Impairment， MCI）是介于正常衰老和痴呆之间的过渡阶段，需要早期发现并及时干预。目前的研究开发了一种创新的电子评估工具，设计了三个任务模块，针对执行功能，记忆绑定和空间导航，以快速筛查老年人MCI。一项针对271名年龄在56岁至89岁的老年参与者（其中138名患有轻度认知障碍，133名对照组）的验证研究显示出出色的信度和效度，在区分轻度认知障碍和认知正常个体方面达到72%的准确率，具有出色的筛查能力（AUC = 0.807; 95% CI: 0.756 - 0.858）。这一表现超过了纸笔迷你精神状态测试（MMSE）。来自一家社区医院的独立数据集进一步证实，该工具在预测MCI方面达到了93%（26/28）的良好准确率。这些结果为早期识别MCI提供了强有力的工具支持，增强了对高危老年人认知能力下降的有效管理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Dementia and Geriatric Cognitive Disorders 医学-精神病学

CiteScore

4.70

自引率

0.00%

发文量

审稿时长

2 months

期刊介绍： As a unique forum devoted exclusively to the study of cognitive dysfunction, ''Dementia and Geriatric Cognitive Disorders'' concentrates on Alzheimer’s and Parkinson’s disease, Huntington’s chorea and other neurodegenerative diseases. The journal draws from diverse related research disciplines such as psychogeriatrics, neuropsychology, clinical neurology, morphology, physiology, genetic molecular biology, pathology, biochemistry, immunology, pharmacology and pharmaceutics. Strong emphasis is placed on the publication of research findings from animal studies which are complemented by clinical and therapeutic experience to give an overall appreciation of the field.