4/21/2024 0 Comments Moca testing scores vs mmse scores![]() ![]() 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. 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). ![]()
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