Mild cognitive impairment: narrative review of taxonomies and systematic review of their prediction of incident Alzheimer's disease dementia

被引:24
作者
Bradfield, Nicholas I. [1 ]
Ames, David [2 ]
机构
[1] St Vincent Hosp, Melbourne, Vic, Australia
[2] St George Hosp, Kew, Australia
来源
BJPSYCH BULLETIN | 2020年 / 44卷 / 02期
关键词
Alzheimer's disease; dementia; neurocognitive disorders; neuropsychiatry; neuropsychology; NATIONAL INSTITUTE; MEMORY IMPAIRMENT; NEUROPSYCHOLOGICAL PREDICTION; ASSOCIATION WORKGROUPS; DIAGNOSTIC GUIDELINES; RESEARCH CRITERIA; RISK-FACTORS; PREVALENCE; CONVERSION; PROGRESSION;
D O I
10.1192/bjb.2019.77
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Early detection of Alzheimer's disease is vital for developing novel treatments. Attempts to identify the intermediate state between normal cognition and dementia have evolved over the past 50 years. Current taxonomies of mild cognitive impairment (MCI) may be criticised for their imprecise operationalisation. With the advent of biomarkers such as amyloid-beta positron emission tomography imaging in established Alzheimer's disease, much research has focused on establishing which factors predict progression from MCI to Alzheimer's disease dementia. In this review, we discuss the historical context of MCI before reviewing the literature of MCI subtypes and their risk of progression to Alzheimer's disease dementia. Finally, we summarise the literature and discuss limitations and weaknesses of how the construct is operationalised and implemented, before offering suggestions for development of the concept of MCI. We conclude that MCI must be empirically defined for the sake of its predictive validity to identify Alzheimer's disease before dementia develops.
引用
收藏
页码:67 / 74
页数:8
相关论文
共 50 条
  • [41] Effects of Meditation on Structural Changes of the Brain in Patients With Mild Cognitive Impairment or Alzheimer's Disease Dementia
    Dwivedi, Madhukar
    Dubey, Neha
    Pansari, Aditya Jain
    Bapi, Raju Surampudi
    Das, Meghoranjani
    Guha, Maushumi
    Banerjee, Rahul
    Pramanick, Gobinda
    Basu, Jayanti
    Ghosh, Amitabha
    FRONTIERS IN HUMAN NEUROSCIENCE, 2021, 15
  • [42] A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer's disease and mild cognitive impairment
    Seixas, Flavio Luiz
    Zadrozny, Bianca
    Laks, Jerson
    Conci, Aura
    Muchaluat Saade, Debora Christina
    COMPUTERS IN BIOLOGY AND MEDICINE, 2014, 51 : 140 - 158
  • [43] C-reactive protein as a predictor of mild cognitive impairment conversion into Alzheimer's disease dementia
    Fernandes, Andreia
    Tabuas-Pereira, Miguel
    Duro, Diana
    Lima, Marisa
    Gens, Helena
    Santiago, Beatriz
    Duraes, Joao
    Almeida, Maria Rosario
    Leitao, Maria Joao
    Baldeiras, Ines
    Santana, Isabel
    EXPERIMENTAL GERONTOLOGY, 2020, 138
  • [44] Systematic review: fluid biomarkers and machine learning methods to improve the diagnosis from mild cognitive impairment to Alzheimer's disease
    Blanco, Kevin
    Salcidua, Stefanny
    Orellana, Paulina
    Sauma-Perez, Tania
    Leon, Tomas
    Steinmetz, Lorena Cecilia Lopez
    Ibanez, Agustin
    Duran-Aniotz, Claudia
    de la Cruz, Rolando
    ALZHEIMERS RESEARCH & THERAPY, 2023, 15 (01)
  • [45] Exploring the potential of combining transcranial magnetic stimulation and electroencephalography to investigate mild cognitive impairment and Alzheimer's disease: a systematic review
    Hall, J. D.
    Green, Jacob M.
    Chen, Yu-Chin A.
    Liu, Yilin
    Zhang, Hangbin
    Sundman, Mark H.
    Chou, Ying-hui
    GEROSCIENCE, 2024, 46 (04) : 3659 - 3693
  • [46] Use of Virtual Reality to Improve Spatial Orientation in Alzheimer's Disease and Mild Cognitive Impairment: A Systematic Review
    Gulin, Wojciech
    Oziemblewska, Monika
    Zajac-Lamparska, Ludmila
    CURRENT ALZHEIMER RESEARCH, 2025, : 804 - 816
  • [47] Social cognition in mild cognitive impairment and dementia: A systematic review and meta-analysis
    Shi, Puyu
    Chapman, Hannah
    Liu, Lisa
    Rodgers, Fern
    Shaw, Jasmine
    Livingston, Gill
    Rankin, Katherine P.
    Warren, Jason D.
    Sommerlad, Andrew
    ALZHEIMERS & DEMENTIA, 2025, 21 (03)
  • [48] Cognitive Impairment Precedes and Predicts Functional Impairment in Mild Alzheimer's Disease
    Liu-Seifert, Hong
    Siemers, Eric
    Price, Karen
    Han, Baoguang
    Selzler, Katherine J.
    Henley, David
    Sundell, Karen
    Aisen, Paul
    Cummings, Jeffrey
    Raskin, Joel
    Mohs, Richard
    JOURNAL OF ALZHEIMERS DISEASE, 2015, 47 (01) : 205 - 214
  • [49] Increased prediction value of biomarker combinations for the conversion of mild cognitive impairment to Alzheimer's dementia
    Zhao, Aonan
    Li, Yuanyuan
    Yan, Yi
    Qiu, Yinghui
    Li, Binyin
    Xu, Wei
    Wang, Ying
    Liu, Jun
    Deng, Yulei
    TRANSLATIONAL NEURODEGENERATION, 2020, 9 (01)
  • [50] Modifiable Predictors of Dementia in Mild Cognitive Impairment: A Systematic Review and Meta-Analysis
    Cooper, Claudia
    Sommerlad, Andrew
    Lyketsos, Constantine G.
    Livingston, Gill
    AMERICAN JOURNAL OF PSYCHIATRY, 2015, 172 (04) : 323 - 334