Cargando…

Determining Appropriate Screening Tools and Cutoffs for Cognitive Impairment in the Chinese Elderly

Background: The Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) are the most commonly used tools for cognitive impairment screening. The present study aimed to investigate the ability of the MOCA and MMSE to differentiate between cognitively normal elderly individuals,...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Shaowei, Qiu, Qi, Qian, Shixing, Lin, Xiang, Yan, Feng, Sun, Lin, Xiao, Shifu, Wang, Jinghua, Fang, Yuan, Li, Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674928/
https://www.ncbi.nlm.nih.gov/pubmed/34925100
http://dx.doi.org/10.3389/fpsyt.2021.773281
_version_ 1784615775305203712
author Zhang, Shaowei
Qiu, Qi
Qian, Shixing
Lin, Xiang
Yan, Feng
Sun, Lin
Xiao, Shifu
Wang, Jinghua
Fang, Yuan
Li, Xia
author_facet Zhang, Shaowei
Qiu, Qi
Qian, Shixing
Lin, Xiang
Yan, Feng
Sun, Lin
Xiao, Shifu
Wang, Jinghua
Fang, Yuan
Li, Xia
author_sort Zhang, Shaowei
collection PubMed
description Background: The Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) are the most commonly used tools for cognitive impairment screening. The present study aimed to investigate the ability of the MOCA and MMSE to differentiate between cognitively normal elderly individuals, MCI patients and dementia patients at different ages and education levels and to establish the optimal cutoff scores of the MoCA and MMSE for MCI and dementia in the Chinese elderly. Methods: A total of 2,954 Chinese elderly individuals, including 1,746 normal controls, 599 MCI patients and 249 dementia patients, were consecutively recruited in the study. The optimal cutoffs for MoCA and MMSE were determined using receiver operating characteristic (ROC) analysis among the different age and education levels in the three groups. Furthermore, comparison of ROC curves were made to evaluate the performances of the two tests. Results: The area under the curve(AUC) of the MoCA (0.82) for detecting MCI was significantly higher than that of the MMSE (0.75) (P < 0.001). When the sample was divided according to age and education level, the AUC of the MoCA (0.84) was higher than those of the MMSE (0.71) for MCI (P < 0.001) in the younger and more highly-educated groups. The optimal cutoff scores of the MoCA for the groups aged ≤ 75 years old and education ≤ 6 years, aged > 75 years old and education ≤ 6 years, aged ≤ 75 years old and education > 6 years, aged > 75 years old and education > 6 years in screening for MCI were identified as 19.5, 15.5, 24.5 and 24.5, respectively, and the optimal cutoff scores for dementia were 18.5, 10.5, 18.5 and 20.5, respectively. For MMSE in the above four groups, the cutoff scores to detect MCI were 26.5, 22.5, 28.5 and 26.5, respectively, and the optimal cutoff scores for dementia were 23.5, 19.5, 23.5 and 23.5, respectively. Conclusion: Compared to MMSE, the MoCA is more suitable for discriminating MCI in younger and more highly educated elderly Chinese individuals. However, the MMSE has advantage over MoCA in screening MCI in individuals with lower education levels and the older groups of Chinese elderly.
format Online
Article
Text
id pubmed-8674928
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-86749282021-12-17 Determining Appropriate Screening Tools and Cutoffs for Cognitive Impairment in the Chinese Elderly Zhang, Shaowei Qiu, Qi Qian, Shixing Lin, Xiang Yan, Feng Sun, Lin Xiao, Shifu Wang, Jinghua Fang, Yuan Li, Xia Front Psychiatry Psychiatry Background: The Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) are the most commonly used tools for cognitive impairment screening. The present study aimed to investigate the ability of the MOCA and MMSE to differentiate between cognitively normal elderly individuals, MCI patients and dementia patients at different ages and education levels and to establish the optimal cutoff scores of the MoCA and MMSE for MCI and dementia in the Chinese elderly. Methods: A total of 2,954 Chinese elderly individuals, including 1,746 normal controls, 599 MCI patients and 249 dementia patients, were consecutively recruited in the study. The optimal cutoffs for MoCA and MMSE were determined using receiver operating characteristic (ROC) analysis among the different age and education levels in the three groups. Furthermore, comparison of ROC curves were made to evaluate the performances of the two tests. Results: The area under the curve(AUC) of the MoCA (0.82) for detecting MCI was significantly higher than that of the MMSE (0.75) (P < 0.001). When the sample was divided according to age and education level, the AUC of the MoCA (0.84) was higher than those of the MMSE (0.71) for MCI (P < 0.001) in the younger and more highly-educated groups. The optimal cutoff scores of the MoCA for the groups aged ≤ 75 years old and education ≤ 6 years, aged > 75 years old and education ≤ 6 years, aged ≤ 75 years old and education > 6 years, aged > 75 years old and education > 6 years in screening for MCI were identified as 19.5, 15.5, 24.5 and 24.5, respectively, and the optimal cutoff scores for dementia were 18.5, 10.5, 18.5 and 20.5, respectively. For MMSE in the above four groups, the cutoff scores to detect MCI were 26.5, 22.5, 28.5 and 26.5, respectively, and the optimal cutoff scores for dementia were 23.5, 19.5, 23.5 and 23.5, respectively. Conclusion: Compared to MMSE, the MoCA is more suitable for discriminating MCI in younger and more highly educated elderly Chinese individuals. However, the MMSE has advantage over MoCA in screening MCI in individuals with lower education levels and the older groups of Chinese elderly. Frontiers Media S.A. 2021-12-02 /pmc/articles/PMC8674928/ /pubmed/34925100 http://dx.doi.org/10.3389/fpsyt.2021.773281 Text en Copyright © 2021 Zhang, Qiu, Qian, Lin, Yan, Sun, Xiao, Wang, Fang and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Zhang, Shaowei
Qiu, Qi
Qian, Shixing
Lin, Xiang
Yan, Feng
Sun, Lin
Xiao, Shifu
Wang, Jinghua
Fang, Yuan
Li, Xia
Determining Appropriate Screening Tools and Cutoffs for Cognitive Impairment in the Chinese Elderly
title Determining Appropriate Screening Tools and Cutoffs for Cognitive Impairment in the Chinese Elderly
title_full Determining Appropriate Screening Tools and Cutoffs for Cognitive Impairment in the Chinese Elderly
title_fullStr Determining Appropriate Screening Tools and Cutoffs for Cognitive Impairment in the Chinese Elderly
title_full_unstemmed Determining Appropriate Screening Tools and Cutoffs for Cognitive Impairment in the Chinese Elderly
title_short Determining Appropriate Screening Tools and Cutoffs for Cognitive Impairment in the Chinese Elderly
title_sort determining appropriate screening tools and cutoffs for cognitive impairment in the chinese elderly
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674928/
https://www.ncbi.nlm.nih.gov/pubmed/34925100
http://dx.doi.org/10.3389/fpsyt.2021.773281
work_keys_str_mv AT zhangshaowei determiningappropriatescreeningtoolsandcutoffsforcognitiveimpairmentinthechineseelderly
AT qiuqi determiningappropriatescreeningtoolsandcutoffsforcognitiveimpairmentinthechineseelderly
AT qianshixing determiningappropriatescreeningtoolsandcutoffsforcognitiveimpairmentinthechineseelderly
AT linxiang determiningappropriatescreeningtoolsandcutoffsforcognitiveimpairmentinthechineseelderly
AT yanfeng determiningappropriatescreeningtoolsandcutoffsforcognitiveimpairmentinthechineseelderly
AT sunlin determiningappropriatescreeningtoolsandcutoffsforcognitiveimpairmentinthechineseelderly
AT xiaoshifu determiningappropriatescreeningtoolsandcutoffsforcognitiveimpairmentinthechineseelderly
AT wangjinghua determiningappropriatescreeningtoolsandcutoffsforcognitiveimpairmentinthechineseelderly
AT fangyuan determiningappropriatescreeningtoolsandcutoffsforcognitiveimpairmentinthechineseelderly
AT lixia determiningappropriatescreeningtoolsandcutoffsforcognitiveimpairmentinthechineseelderly