PMID- 38070931
OWN - NLM
STAT- MEDLINE
DCOM- 20231216
LR  - 20240124
IS  - 2044-6055 (Electronic)
IS  - 2044-6055 (Linking)
VI  - 13
IP  - 12
DP  - 2023 Dec 9
TI  - Differentiating Alzheimer's disease from mild cognitive impairment: a quick 
      screening tool based on machine learning.
PG  - e073011
LID - 10.1136/bmjopen-2023-073011 [doi]
LID - e073011
AB  - 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.
CI  - (c) Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No 
      commercial re-use. See rights and permissions. Published by BMJ.
FAU - Lu, Wenqi
AU  - Lu W
AUID- ORCID: 0000-0003-4083-8257
AD  - Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical 
      University, Chongqing, China.
AD  - Department of Psychiatry, West China Hospital, Sichuan University, Chengdu, 
      China.
FAU - Zhang, Meiwei
AU  - Zhang M
AUID- ORCID: 0000-0001-6004-9138
AD  - College of Electrical Engineering, Chongqing University, Chongqing, China.
FAU - Yu, Weihua
AU  - Yu W
AD  - Institutes of Neuroscience, Chongqing Medical University, Chongqing, China.
FAU - Kuang, Weihong
AU  - Kuang W
AD  - Department of Psychiatry, West China Hospital, Sichuan University, Chengdu, 
      China.
FAU - Chen, Lihua
AU  - Chen L
AD  - Institutes of Neuroscience, Chongqing Medical University, Chongqing, China.
FAU - Zhang, Wenbo
AU  - Zhang W
AUID- ORCID: 0000-0001-7071-5931
AD  - Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical 
      University, Chongqing, China.
FAU - Yu, Juan
AU  - Yu J
AD  - College of Electrical Engineering, Chongqing University, Chongqing, China.
FAU - Lu, Yang
AU  - Lu Y
AD  - Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical 
      University, Chongqing, China yanglyu@hospital.cqmu.edu.cn.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20231209
PL  - England
TA  - BMJ Open
JT  - BMJ open
JID - 101552874
SB  - IM
MH  - Humans
MH  - *Alzheimer Disease/diagnosis/psychology
MH  - Activities of Daily Living
MH  - Bayes Theorem
MH  - *Cognitive Dysfunction/diagnosis
MH  - *Cognition Disorders/diagnosis
MH  - Neuropsychological Tests
PMC - PMC10729043
OTO - NOTNLM
OT  - aging
OT  - delirium & cognitive disorders
OT  - dementia
OT  - neurology
OT  - psychiatry
COIS- Competing interests: None declared.
EDAT- 2023/12/10 06:42
MHDA- 2023/12/17 09:44
PMCR- 2023/12/08
CRDT- 2023/12/09 20:53
PHST- 2023/12/17 09:44 [medline]
PHST- 2023/12/10 06:42 [pubmed]
PHST- 2023/12/09 20:53 [entrez]
PHST- 2023/12/08 00:00 [pmc-release]
AID - bmjopen-2023-073011 [pii]
AID - 10.1136/bmjopen-2023-073011 [doi]
PST - epublish
SO  - BMJ Open. 2023 Dec 9;13(12):e073011. doi: 10.1136/bmjopen-2023-073011.