Enhanced diagnostic accuracy for neurocognitive disorders: a revised cut-off approach for the Montreal Cognitive Assessment
Posted on 2020-04-08 - 09:08
Abstract Background The Montreal Cognitive Assessment (MoCA) has good sensitivity for mild cognitive impairment, but specificity is low when the original cut-off (25/26) is used. We aim to revise the cut-off on the German MoCA for its use in clinical routine. Methods Data were analyzed from 496 Memory Clinic outpatients (447 individuals with a neurocognitive disorder; 49 with cognitive normal findings) and from 283 normal controls. Cut-offs were identified based on (a) Youden’s index and (b) the 10th percentile of the control group. Results A 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. Conclusions Using two separate cut-offs for the MoCA combined with scores in an indecisive area enhances the accuracy of cognitive screening.
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Thomann, Alessandra E.; Berres, Manfred; Goettel, Nicolai; Steiner, Luzius A.; Monsch, Andreas U. (2020). Enhanced diagnostic accuracy for neurocognitive disorders: a revised cut-off approach for the Montreal Cognitive Assessment. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.4929876.v1
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AUTHORS (5)
AT
Alessandra E. Thomann
MB
Manfred Berres
NG
Nicolai Goettel
LS
Luzius A. Steiner
AM
Andreas U. Monsch