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一种用于筛查阿尔茨海默病所致认知障碍的移动交互式认知自我评估量表。

A mobile interactive cognitive self-assessment scale for screening cognitive impairment due to Alzheimer's disease.

作者信息

Xie Kexin, Huang Juan, Chen Ting, Li Dan, Xia Tianxinyu, Chu Min, Cui Yue, Tang Mei, Peng Dantao, Wang Jingtong, Liu Jianling, Chen Xiaojuan, Cui Weiwei, Liu Li, Wang Yingtao, Liu Jianbing, Li Fang, Wu Liyong

机构信息

Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.

Department of Neurology, FuXing Hospital, Capital Medical University, Beijing, China.

出版信息

Age Ageing. 2025 Jan 6;54(1). doi: 10.1093/ageing/afae293.

Abstract

BACKGROUND

A mobile cognition scale for community screening in cognitive impairment with rigorous validation is in paucity. We aimed to develop a digital scale that overcame low education for community screening for mild cognitive impairment (MCI) due to Alzheimer's disease (AD) and AD.

METHODS

A mobile cognitive self-assessment scale (CogSAS) was designed through the Delphi process, which is feasible for the older population with low education. In Phase 1, 518 clinically diagnosed participants were subjected to optimise the items. In Phase 2, the scale was validated in 358 participants with cognitively unimpaired and 396 participants of clinically diagnosed MCI and dementia for reliability, validity and diagnostic accuracy. In Phase 3, specificity and sensitivity were tested for biologically diagnosed participants of 38 with cognitively unimpaired and 45 with MCI and dementia due to AD according to the amyloid, tau, neurodegeneration classification system.

RESULTS

The CogSAS was a three-task mobile scale testing memory and executive function. In Phase 2, the internal consistency was 0.81, and the test-retest reliability was 0.82. The construct validity was 0.74, and the criterion validity was 0.77. The sensitivity and specificity for discriminating clinically diagnosed participants with MCI and dementia from cognitively unimpaired were 0.90 and 0.67, respectively. For discriminating biologically diagnosed MCI and dementia due to AD from cognitively unimpaired, the sensitivity and specificity were 1.00 and 0.78, respectively.

CONCLUSIONS

The CogSAS has good reliability, validity and feasibility, showing a high sensitivity and specificity both in the community and the clinic, identifying biologically diagnosed MCI and dementia due to AD.

摘要

背景

用于社区认知障碍筛查且经过严格验证的移动认知量表较为匮乏。我们旨在开发一种数字量表,以克服因教育程度低而无法在社区进行阿尔茨海默病(AD)所致轻度认知障碍(MCI)筛查的问题。

方法

通过德尔菲法设计了一种移动认知自我评估量表(CogSAS),该量表对低教育程度的老年人群可行。在第一阶段,对518名临床诊断的参与者进行项目优化。在第二阶段,该量表在358名认知未受损参与者以及396名临床诊断为MCI和痴呆的参与者中进行了可靠性、有效性和诊断准确性验证。在第三阶段,根据淀粉样蛋白、tau蛋白、神经退行性变分类系统,对38名认知未受损以及45名AD所致MCI和痴呆的生物学诊断参与者进行了特异性和敏感性测试。

结果

CogSAS是一个测试记忆和执行功能的三任务移动量表。在第二阶段,内部一致性为0.81,重测信度为0.82。结构效度为0.74,效标效度为0.77。将临床诊断的MCI和痴呆参与者与认知未受损参与者区分开来的敏感性和特异性分别为0.90和0.67。将生物学诊断的AD所致MCI和痴呆与认知未受损参与者区分开来的敏感性和特异性分别为1.00和0.78。

结论

CogSAS具有良好的可靠性、有效性和可行性,在社区和临床中均显示出高敏感性和特异性,可识别生物学诊断的AD所致MCI和痴呆。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1723/11761740/af05b436e121/afae293f1.jpg

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