Differentiating Alzheimer's disease from mild cognitive impairment: a quick screening tool based on machine learning

作者全名:"Lu, Wenqi; Zhang, Meiwei; Yu, Weihua; Kuang, Weihong; Chen, Lihua; Zhang, Wenbo; Yu, Juan; Lu, Yang"

作者地址:"[Lu, Wenqi; Zhang, Wenbo; Lu, Yang] Chongqing Med Univ, Affiliated Hosp 1, Dept Geriatr, Chongqing, Peoples R China; [Lu, Wenqi; Kuang, Weihong] Sichuan Univ, West China Hosp, Dept Psychiat, Chengdu, Peoples R China; [Zhang, Meiwei; Yu, Juan] Chongqing Univ, Coll Elect Engn, Chongqing, Peoples R China; [Yu, Weihua; Chen, Lihua] Chongqing Med Univ, Inst Neurosci, Chongqing, Peoples R China"

通信作者:"Lü, Y (通讯作者),Chongqing Med Univ, Affiliated Hosp 1, Dept Geriatr, Chongqing, Peoples R China."

来源:BMJ OPEN

ESI学科分类:CLINICAL MEDICINE

WOS号:WOS:001171115000127

JCR分区:Q1

影响因子:2.4

年份:2023

卷号:13

期号:12

开始页: 

结束页: 

文献类型:Article

关键词:dementia; delirium & cognitive disorders; psychiatry; neurology; aging

摘要:"Background Alzheimer's disease (AD) is a neurodegenerative disorder characterised by cognitive decline, behavioural and psychological symptoms of dementia (BPSD) and impairment of activities of daily living (ADL). Early differentiation of AD from mild cognitive impairment (MCI) is necessary. Methods A total of 458 patients newly diagnosed with AD and MCI were included. Eleven batteries were used to evaluate ADL, BPSD and cognitive function (ABC). Machine learning approaches including XGboost, classification and regression tree, Bayes, support vector machines and logical regression were used to build and verify the new tool. Results The Alzheimer's Disease Assessment Scale (ADAS-cog) word recognition task showed the best importance in judging AD and MCI, followed by correct numbers of auditory verbal learning test delay recall and ADAS-cog orientation. We also provided a selected ABC-Scale that covered ADL, BPSD and cognitive function with an estimated completion time of 18 min. The sensitivity was improved in the four models. Conclusion The quick screen ABC-Scale covers three dimensions of ADL, BPSD and cognitive function with good efficiency in differentiating AD from MCI."

基金机构:"Chongqing Talent Plan [cstc2022ycjh- bgzxm0184]; Science Innovation Programs Led by the Academicians in Chongqing [cstc2020yszx- jscxX0006]; Key- project in the Health Field of Technological Innovation and Application Development of Chongqing Science AMP; Technology Commission [CSTC2021jscx- gksb- N0020]; Intelligent Medicine Program of Chongqing Medical University [ZHYX2019008, ZHYX202110]"

基金资助正文:"This study was supported by grants from Chongqing Talent Plan (cstc2022ycjh- bgzxm0184), Science Innovation Programs Led by the Academicians in Chongqing under Project (cstc2020yszx- jscxX0006), Key- project in the Health Field of Technological Innovation and Application Development of Chongqing Science & Technology Commission (CSTC2021jscx- gksb- N0020) and Intelligent Medicine Program of Chongqing Medical University (ZHYX2019008, ZHYX202110)"