A mobile interactive cognitive self-assessment scale for screening Alzheimer’s disease

Author:

Xie Kexin1,Huang Juan1,Chen Ting2,Li Dan1,Xia Tianxinyu1,Chu Min1,Cui Yue1,Tang Mei3,Peng Dantao4,Wang Jingtong5,Liu Jianling6,Chen Xiaojuan7,Cui Weiwei7,Liu Li1,Wang Yingtao1,Liu Jianbing2,Li Fang1,Wu Liyong1

Affiliation:

1. Capital Medical University

2. Institute for Smart Ageing of Beijing Academy of Science and Technology

3. Beijing Friendship Hospital Affiliated to Capital Medical University

4. China-Japan Friendship Hospital

5. Peking University People’s Hospital

6. Home Care Center for Senior People, Beijing Yangfangdian Hospital

7. Beijing Active Ageing and Smart Service Technology Co. Ltd

Abstract

Abstract Background A feasible self-administered cognition scale with rigorous validation and high diagnostic accuracy is lacking for screening for cognitive impairment due to Alzheimer’s disease (AD). Methods An interactive cognitive self-assessment scale (CogSAS) was designed through the Delphi process, and 518 participants were subjected to item optimization. The scale was validated in 358 cognitively unimpaired and 396 cognitively impaired participants for reliability, validity, and diagnostic accuracy. Specificity and sensitivity were tested for 38 participants with cognitive impairment and 45 participants with cognitive impairment due to AD. Results The interactive CogSAS relies on speech recognition to achieve elderly friendly results. 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 clinically diagnosed participants were 0.90 and 0.67, respectively. For cognitive impairment due to AD, the sensitivity and specificity were 1.00 and 0.78, respectively. Conclusions The CogSAS has good reliability, validity, and feasibility. It also showed high sensitivity and specificity in identifying cognitive impairment due to AD.

Publisher

Research Square Platform LLC

Reference32 articles.

1. Dementia in China: epidemiology, clinical management, and research advances;Jia L;Lancet Neurol,2020

2. Alzheimer's Disease - Why We Need Early Diagnosis;Rasmussen J;Degener Neurol Neuromuscul Dis,2019

3. Comparison of Computerized and Paper-and-Pencil Memory Tests in Detection of Mild Cognitive Impairment and Dementia: A Systematic Review and Meta-analysis of Diagnostic Studies;Chan JYC;J Am Med Dir Assoc,2018

4. Diagnostic performance of digital cognitive tests for the identification of MCI and dementia: A systematic review;Chan JYC;Ageing Res Rev,2021

5. Diagnostic accuracy of the Cogstate Brief Battery for prevalent MCI and prodromal AD (MCI A(+) T(+)) in a population-based sample;Alden EC;Alzheimers Dement,2021

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