Enhanced diagnostic accuracy for neurocognitive disorders: a revised cut-off approach for the Montreal Cognitive Assessment

Alzheimers Res Ther. 2020 Apr 7;12(1):39. doi: 10.1186/s13195-020-00603-8.

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.

Keywords: Area under curve; Cognitive dysfunction; Mental status and dementia tests; Mini Mental State Examination; Montreal Cognitive Assessment; Neurocognitive disorders; Neuropsychology; ROC curve; Sensitivity and specificity.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cognitive Dysfunction* / diagnosis
  • Dementia* / diagnosis
  • Female
  • Humans
  • Mental Status and Dementia Tests*
  • Neuropsychological Tests
  • ROC Curve
  • Reproducibility of Results
  • Sensitivity and Specificity