A Fully Automated Mini-Mental State Examination Assessment Model Using Computer Algorithms for Cognitive Screening

作者全名："Chen, Lihua; Zhang, Meiwei; Yu, Weihua; Yu, Juan; Cui, Qiushi; Chen, Chenxi; Liu, Junjin; Huang, Lihong; Liu, Jiarui; Yu, Wuhan; Li, Wenjie; Zhang, Wenbo; Yan, Mengyu; Wu, Jiani; Wang, Xiaoqin; Song, Jiaqi; Zhong, Fuxing; Liu, Xintong; Wang, Xianglin; Li, Chengxing; Tan, Yuantao; Sun, Jiangshan; Li, Wenyuan; Lu, Yang"

作者地址："[Chen, Lihua; Chen, Chenxi; Liu, Junjin; Liu, Jiarui; Yu, Wuhan; Li, Wenjie; Zhang, Wenbo; Wu, Jiani; Wang, Xiaoqin; Zhong, Fuxing; Liu, Xintong; Lu, Yang] Chongqing Med Univ, Affiliated Hosp 1, Dept Geriatr, Chongqing, Peoples R China; [Zhang, Meiwei; Yu, Juan; Cui, Qiushi; Li, Wenyuan] Chongqing Univ, Coll Elect Engn, Chongqing, Peoples R China; [Yu, Weihua; Huang, Lihong; Yan, Mengyu; Song, Jiaqi] Chongqing Med Univ, Inst Neurosci, Dept Human Anat, Chongqing, Peoples R China; [Wang, Xianglin; Li, Chengxing; Tan, Yuantao; Sun, Jiangshan] Chongqing Univ, Coll Comp Sci, Chongqing, Peoples R China"

通信作者："Lü, Y (通讯作者)，1 Youyi Rd, Chongqing 400016, Peoples R China.; Li, WY (通讯作者)，174 Shazhengjie, Chongqing 400030, Peoples R China."

来源：JOURNAL OF ALZHEIMERS DISEASE

ESI学科分类：NEUROSCIENCE & BEHAVIOR

WOS号：WOS:001192064800013

JCR分区：Q2

影响因子：4

年份：2024

卷号：97

期号：4

开始页：1661

结束页：1672

文献类型：Article

关键词：Alzheimer's disease; automated assessment; cognitive function; computer-related technologies; cognitive screening; Mini-Mental State Examination

摘要："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."

基金机构："Chongqing Talent Plan [cstc2022ycjh-bgzxm0184]; Key Project of Technological Innovation and Application Development of Chongqing Science & Technology Bureau [CSTC2021jscx-gksb-N0020]; Science Innovation Programs Led by the Academicians in Chongqing [cstc2020yszx-jscxX0006, 2022YSZX-JSX0002CSTB]; Science and Technology Research Program Of Chongqing Municipal Education Commission [KJQN201900109]; Program for Youth Innovation in Future Medicine, Chongqing Medical University [W0166]; Intelligent Medicine Program of Chongqing Medical University [ZHYX2019008, ZHYX202110]"

基金资助正文："This study was supported by the grants from Chongqing Talent Plan (cstc2022ycjh-bgzxm0184), Key Project of Technological Innovation and Application Development of Chongqing Science & Technology Bureau (CSTC2021jscx-gksb-N0020), Science Innovation Programs Led by the Academicians in Chongqing under Project (cstc2020yszx-jscxX0006, 2022YSZX-JSX0002CSTB), the Science and Technology Research Program Of Chongqing Municipal Education Commission (KJQN201900109), Program for Youth Innovation in Future Medicine, Chongqing Medical University (W0166), and Intelligent Medicine Program of Chongqing Medical University (ZHYX2019008, ZHYX202110)."