Montreal Cognitive Assessment and Mini-Mental State Examination performance in patients with mild-to-moderate dementia with Lewy bodies, Alzheimer's disease, and normal participants in Taiwan.

Abstract:

BACKGROUND:The aim of this study was to examine and test the sensitivity, specificity, and threshold scores of the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE) and determine those that best correspond to a clinical diagnosis of dementia with Lewy bodies (DLB). METHODS:Sixty-seven Alzheimer's disease (AD), 36 DLB, and 62 healthy participants without dementia (NC), aged 60 to 90, were enrolled. All three groups took the MoCA and MMSE tests at the same time. The Cochran-Mantel-Haenszel tests and receiver operating characteristics curve analysis were used to compare the different neuropsychological test results among the groups. RESULTS:The cut-off point of the MoCA for AD was 21/22 with a sensitivity of 95.5% and a specificity of 82.3% (area under the curve (AUC): 0.945), and the cut-off point for DLB was 22/23 with a sensitivity of 91.7% and a specificity of 80.6% (AUC: 0.932). For the MMSE, the cut-off points for AD and for DLB from NC were all 24/25, with a sensitivity of 88.1% and a specificity of 85.5% for AD (AUC: 0.92), and a sensitivity of 77.8% and a specificity of 85.5% for DLB (AUC: 0.895). After controlling sex, age, and education, AD and DLB had lower scores in all MoCA subscales than the NC group (p < 0.05), except for the orientation and naming in DLB. In addition, AD had a lower score in the MoCA orientation (p = 0.03) and short-term memory (p = 0.02) than did DLB. CONCLUSIONS:The MoCA is a more sensitive instrument than the MMSE to screen AD or DLB patients from non-dementia cases.

journal_name

Int Psychogeriatr

authors

Wang CS,Pai MC,Chen PL,Hou NT,Chien PF,Huang YC

doi

10.1017/S1041610213001245

subject

Has Abstract

pub_date

2013-11-01 00:00:00

pages

1839-48

issue

11

eissn

1041-6102

issn

1741-203X

pii

S1041610213001245

journal_volume

25

pub_type

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