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Chinese version of Montreal Cognitive Assessment Basic for discrimination among different severities of Alzheimer’s disease

OBJECTIVES: To find out whether the Chinese version of Montreal Cognitive Assessment Basic (MoCA-BC) and its subtests could be applied in discrimination among cognitively normal controls (NC), mild cognitive impairment (MCI), mild and moderate Alzheimer’s Disease (AD), and furthermore, to determine...

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Autores principales: Huang, Lin, Chen, Ke-Liang, Lin, Bi-Ying, Tang, Le, Zhao, Qian-Hua, Lv, Ying-Ru, Guo, Qi-Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110265/
https://www.ncbi.nlm.nih.gov/pubmed/30174426
http://dx.doi.org/10.2147/NDT.S174293
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author Huang, Lin
Chen, Ke-Liang
Lin, Bi-Ying
Tang, Le
Zhao, Qian-Hua
Lv, Ying-Ru
Guo, Qi-Hao
author_facet Huang, Lin
Chen, Ke-Liang
Lin, Bi-Ying
Tang, Le
Zhao, Qian-Hua
Lv, Ying-Ru
Guo, Qi-Hao
author_sort Huang, Lin
collection PubMed
description OBJECTIVES: To find out whether the Chinese version of Montreal Cognitive Assessment Basic (MoCA-BC) and its subtests could be applied in discrimination among cognitively normal controls (NC), mild cognitive impairment (MCI), mild and moderate Alzheimer’s Disease (AD), and furthermore, to determine the optimal cutoffs most sensitive to distinguish between them. DESIGN: A cross-sectional validation study. SETTING: Huashan Hospital, Shanghai, China. PARTICIPANTS: There was a total of 1,969 participants: individuals with MCI (n=663), mild (n=345), moderate (n=441) AD, and cognitively NC (n=520) were recruited from the Memory Clinic, Huashan Hospital, Shanghai, China. MEASUREMENTS: Baseline MoCA-BC scores were collected from firsthand data. Two subtests were calculated from MoCA-BC: the Memory Index Score of MoCA-BC (MoCA-BC-MIS) and the Non-memory Index Score of MoCA-BC (MoCA-BC-NM). RESULTS: MoCA-BC was an effective cognitive tool to discriminate among NC, MCI, mild and moderate AD in the Chinese elderly across all education groups, implying that it was efficient not only for detecting MCI, but for different severities of AD as well. For MCI screening, the total score of MoCA-BC (MoCA-BC-T) and MoCA-BC-MIS had similar high sensitivity and specificity. For discrimination among MCI, mild and moderate AD, the MoCA-BC-T and MoCA-BC-NM had similar performance. CONCLUSION: MoCA-BC is an effective cognitive test to distinguish between NC, MCI, mild and moderate AD among the Chinese elderly with various levels of education.
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spelling pubmed-61102652018-08-31 Chinese version of Montreal Cognitive Assessment Basic for discrimination among different severities of Alzheimer’s disease Huang, Lin Chen, Ke-Liang Lin, Bi-Ying Tang, Le Zhao, Qian-Hua Lv, Ying-Ru Guo, Qi-Hao Neuropsychiatr Dis Treat Original Research OBJECTIVES: To find out whether the Chinese version of Montreal Cognitive Assessment Basic (MoCA-BC) and its subtests could be applied in discrimination among cognitively normal controls (NC), mild cognitive impairment (MCI), mild and moderate Alzheimer’s Disease (AD), and furthermore, to determine the optimal cutoffs most sensitive to distinguish between them. DESIGN: A cross-sectional validation study. SETTING: Huashan Hospital, Shanghai, China. PARTICIPANTS: There was a total of 1,969 participants: individuals with MCI (n=663), mild (n=345), moderate (n=441) AD, and cognitively NC (n=520) were recruited from the Memory Clinic, Huashan Hospital, Shanghai, China. MEASUREMENTS: Baseline MoCA-BC scores were collected from firsthand data. Two subtests were calculated from MoCA-BC: the Memory Index Score of MoCA-BC (MoCA-BC-MIS) and the Non-memory Index Score of MoCA-BC (MoCA-BC-NM). RESULTS: MoCA-BC was an effective cognitive tool to discriminate among NC, MCI, mild and moderate AD in the Chinese elderly across all education groups, implying that it was efficient not only for detecting MCI, but for different severities of AD as well. For MCI screening, the total score of MoCA-BC (MoCA-BC-T) and MoCA-BC-MIS had similar high sensitivity and specificity. For discrimination among MCI, mild and moderate AD, the MoCA-BC-T and MoCA-BC-NM had similar performance. CONCLUSION: MoCA-BC is an effective cognitive test to distinguish between NC, MCI, mild and moderate AD among the Chinese elderly with various levels of education. Dove Medical Press 2018-08-21 /pmc/articles/PMC6110265/ /pubmed/30174426 http://dx.doi.org/10.2147/NDT.S174293 Text en © 2018 Huang et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Huang, Lin
Chen, Ke-Liang
Lin, Bi-Ying
Tang, Le
Zhao, Qian-Hua
Lv, Ying-Ru
Guo, Qi-Hao
Chinese version of Montreal Cognitive Assessment Basic for discrimination among different severities of Alzheimer’s disease
title Chinese version of Montreal Cognitive Assessment Basic for discrimination among different severities of Alzheimer’s disease
title_full Chinese version of Montreal Cognitive Assessment Basic for discrimination among different severities of Alzheimer’s disease
title_fullStr Chinese version of Montreal Cognitive Assessment Basic for discrimination among different severities of Alzheimer’s disease
title_full_unstemmed Chinese version of Montreal Cognitive Assessment Basic for discrimination among different severities of Alzheimer’s disease
title_short Chinese version of Montreal Cognitive Assessment Basic for discrimination among different severities of Alzheimer’s disease
title_sort chinese version of montreal cognitive assessment basic for discrimination among different severities of alzheimer’s disease
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110265/
https://www.ncbi.nlm.nih.gov/pubmed/30174426
http://dx.doi.org/10.2147/NDT.S174293
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