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Lin Huang,1 Ke-Liang Chen,1 Bi-Ying Lin,1 Le Tang,1 Qian-Hua Zhao,1 Ying-Ru Lv,2,* Qi-Hao Guo1,* 1Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China; 2Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China *These authors contributed equally to this work 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. Keywords: mild cognitive impairment, Montreal Cognitive Assessment, Alzheimer’s disease, cutoff study |
