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Chen L, Zhang M, Yu W, Yu J, Cui Q, Chen C, Liu J, Huang L, Liu J, Yu W, Li W, Zhang W, Yan M, Wu J, Wang X, Song J, Zhong F, Liu X, Wang X, Li C, Tan Y, Sun J, Li W, Lü Y. A Fully Automated Mini-Mental State Examination Assessment Model Using Computer Algorithms for Cognitive Screening. J Alzheimers Dis 2024; 97:1661-1672. [PMID: 38306031 DOI: 10.3233/jad-230518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
Background Rapidly growing healthcare demand associated with global population aging has spurred the development of new digital tools for the assessment of cognitive performance in older adults. Objective To develop a fully automated Mini-Mental State Examination (MMSE) assessment model and validate the model's rating consistency. Methods The Automated Assessment Model for MMSE (AAM-MMSE) was an about 10-min computerized cognitive screening tool containing the same questions as the traditional paper-based Chinese MMSE. The validity of the AAM-MMSE was assessed in term of the consistency between the AAM-MMSE rating and physician rating. Results A total of 427 participants were recruited for this study. The average age of these participants was 60.6 years old (ranging from 19 to 104 years old). According to the intraclass correlation coefficient (ICC), the interrater reliability between physicians and the AAM-MMSE for the full MMSE scale AAM-MMSE was high [ICC (2,1)=0.952; with its 95% CI of (0.883,0.974)]. According to the weighted kappa coefficients results the interrater agreement level for audio-related items showed high, but for items "Reading and obey", "Three-stage command", and "Writing complete sentence" were slight to fair. The AAM-MMSE rating accuracy was 87%. A Bland-Altman plot showed that the bias between the two total scores was 1.48 points with the upper and lower limits of agreement equal to 6.23 points and -3.26 points. Conclusions Our work offers a promising fully automated MMSE assessment system for cognitive screening with pretty good accuracy.
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Affiliation(s)
- Lihua Chen
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Meiwei Zhang
- College of Electrical Engineering, Chongqing University, Chongqing, China
| | - Weihua Yu
- Department of Human Anatomy, Institute of Neuroscience, Chongqing Medical University, Chongqing, China
| | - Juan Yu
- College of Electrical Engineering, Chongqing University, Chongqing, China
| | - Qiushi Cui
- College of Electrical Engineering, Chongqing University, Chongqing, China
| | - Chenxi Chen
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Junjin Liu
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lihong Huang
- Department of Human Anatomy, Institute of Neuroscience, Chongqing Medical University, Chongqing, China
| | - Jiarui Liu
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wuhan Yu
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wenjie Li
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wenbo Zhang
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Mengyu Yan
- Department of Human Anatomy, Institute of Neuroscience, Chongqing Medical University, Chongqing, China
| | - Jiani Wu
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaoqin Wang
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiaqi Song
- Department of Human Anatomy, Institute of Neuroscience, Chongqing Medical University, Chongqing, China
| | - Fuxing Zhong
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xintong Liu
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xianglin Wang
- College of Computer Science, Chongqing University, Chongqing, China
| | - Chengxing Li
- College of Computer Science, Chongqing University, Chongqing, China
| | - Yuantao Tan
- College of Computer Science, Chongqing University, Chongqing, China
| | - Jiangshan Sun
- College of Computer Science, Chongqing University, Chongqing, China
| | - Wenyuan Li
- College of Electrical Engineering, Chongqing University, Chongqing, China
| | - Yang Lü
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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