Validation of a modified Chinese version of Mini-Addenbrooke's Cognitive Examination for detecting mild cognitive impairment

被引:5
作者
Pan, Feng-Feng [1 ]
Cui, Liang [1 ]
Li, Qing-Jie [1 ]
Guo, Qi-Hao [1 ]
机构
[1] Shanghai Jiao Tong Univ Affiliated Peoples Hosp 6, Dept Gerontol, 600 Yi Shan Rd, Shanghai 200233, Peoples R China
基金
国家重点研发计划;
关键词
Alzheimer's disease; mild cognitive impairment; Mini-Addenbrooke's Cognitive Examination; Mini-Mental State Examination; Montreal Cognitive Assessment; ALZHEIMERS ASSOCIATION WORKGROUPS; EXAMINATION III; DIAGNOSTIC GUIDELINES; NATIONAL INSTITUTE; MENTAL-STATE; TEST BATTERY; DEMENTIA; DISEASE; RECOMMENDATIONS; POPULATION;
D O I
10.1002/brb3.2418
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Background For detecting mild cognitive impairment (MCI), brief cognitive screening tools are increasingly required for the advantage of time saving and no need for special equipment or trained raters. We aimed to develop a modified Chinese version of Mini-Addenbrooke's Cognitive Examination (C-MACE) and further evaluate its validation in detecting MCI. Methods A total of 716 individuals aged from 50 to 90 years old were recruited, including 431 cognitively normal controls (NC) and 285 individuals with MCI. The effect size of Cramer's V was used to explore which items in the Chinese version of Addenbrooke's Cognitive Examination-III (ACE-III-CV) best associated with MCI and to form the C-MACE. Receiver operating characteristic (ROC) analyses were carried out to explore the ability of C-MACE, ACE-III-CV, Chinese version of Montreal Cognitive Assessment-Basic (MoCA-BC), and Mini-Mental State Examination (MMSE) in discriminating MCI from NC. Results Five items with greatest effect sizes of Cramer's V were selected from ACE-III-CV to form the C-MACE: Memory Immediate Recall, Memory Delayed Recall, Memory Recognition, Verbal Fluency Animal and Language Naming. With a total score of 38, the C-MACE had a satisfactory classification accuracy in detecting MCI (area under the ROC curve, AUC = 0.892), superior to MMSE (AUC = 0.782) and comparable to ACE-III-CV (AUC = 0.901) and MoCA-BC (AUC = 0.916). In the subgroup of Age > 70 years, Education <= 12 years, the C-MACE got a highest classification accuracy (AUC = 0.958) for detecting MCI. Conclusion In the Chinese-speaking population, C-MACE derived from ACE-III-CV may identify MCI with a good classification accuracy, especially in aged people with low education.
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页数:8
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