Cut-offs were identified based on (a) Youden’s index and (b) the 10th percentile of the control group. ResultsĪ cut-off of 23/24 on the MoCA had better correct classification rates than the MMSE and the original MoCA cut-off. Compared to the original MoCA cut-off, the cut-off of 23/24 points had higher specificity (92% vs 63%), but lower sensitivity (65% vs 86%). ![]() Introducing two separate cut-offs increased diagnostic accuracies with 92% specificity (23/24 points) and 91% sensitivity (26/27 points). Scores between these two cut-offs require further examinations. Using two separate cut-offs for the MoCA combined with scores in an indecisive area enhances the accuracy of cognitive screening.Ī steep increase in the prevalence of dementia is expected, associated with social, economic, and societal challenges. Early detection of dementia is crucial for an implementation of therapeutic strategies in the earliest disease stages, and reliable cognitive screening tools play an important role in this process of identifying individuals with cognitive impairment. In the context of clinical research, accurate cognitive assessment tools are needed for an adequate selection of participants, since erroneous inclusion or exclusion of individuals may bias study findings. The Montreal Cognitive Assessment (MoCA) has gained popularity for cognitive screening. ![]() It correlates well with extensive neuropsychological test batteries and covers most of the cognitive domains outlined in the Diagnostic and Statistical Manual, 5th Edition (DSM-5).
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