![]() ![]() MoCA scores are translatable to the MMSE to facilitate comparison. Functional assessment can help exclude dementia cases. A cutoff of ≥17 on the MoCA may help capture early and late MCI cases depending on the level of sensitivity desired, ≥18 or 19 could be used. MoCA and MMSE were more similar for dementia cases, but MoCA distributes MCI cases across a broader score range with less ceiling effect. Mean FAQ scores were significantly higher and a greater proportion had abnormal FAQ scores in dementia than MCI and HC. The core and orientation domains in both tests best distinguished HC from MCI groups, whereas comprehension/executive function and attention/calculation were not helpful. ROC analysis found MoCA ≥ 17 as the cutoff between MCI and dementia that emphasized high sensitivity (92.3 %) to capture MCI cases. Equi-percentile equating showed a MoCA score of 18 was equivalent to MMSE of 24. MoCA and MMSE scores correlated most for dementia ( r = 0.86 versus MCI r = 0.60 HC r = 0.43). The ceiling effect (28–30 points) for MCI and HC was less using MoCA (18.1 %) versus MMSE (71.4 %). Most dementia cases scored abnormally, while MCI and HC score distributions overlapped on each test. Receiver Operating Characteristic (ROC) analyses evaluated lower cutoff scores for capturing the most MCI cases. Equi-percentile equating produced a translation grid for MoCA against MMSE scores. Functional Activities Questionnaire (FAQ) was evaluated as a strategy to separate dementia from MCI. Stepwise variable selection in logistic regression evaluated relative value of four test domains for separating MCI from HC. Methodsįor this cross-sectional study, we analyzed 219 healthy control (HC), 299 MCI, and 100 Alzheimer’s disease (AD) dementia cases from the Alzheimer’s Disease Neuroimaging Initiative (ADNI)-GO/2 database to evaluate MMSE and MoCA score distributions and select MoCA values to capture early and late MCI cases. Clinicians need to better understand the relationship between MoCA and MMSE scores. doi:10.The Montreal Cognitive Assessment (MoCA) was developed to enable earlier detection of mild cognitive impairment (MCI) relative to familiar multi-domain tests like the Mini-Mental State Exam (MMSE). Relationship between the Montreal Cognitive Assessment and Mini-mental State Examination for assessment of mild cognitive impairment in older adults. Trzepacz PT, Hochstelter H, Wang S, Walker B, Saykin AJ. Avoiding spectrum bias caused by healthy controls. Diagnostic accuracy of the Montreal Cognitive Assessment (MoCA) for cognitive screening in old age psychiatry: determining cutoff scores in clinical practice. Validity of the Montreal Cognitive Assessment (MoCA) index scores: a comparison with the cognitive domain scores of the Seoul Neuropsychological Screening Battery (SNSB). Minorities and women are at greater risk for Alzheimer's disease. Cognitive performance on the Mini-Mental State Examination and the Montreal Cognitive Assessment across the healthy adult lifespan. Gluhm A, Goldstein J, Loc K, Colt A, Van Liew C, Corey-Bloom M.
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