Identifying an Optimal Cutoff of the Montreal Cognitive Assessment to Predict Amyloid-PET Positivity in a Referral

Anil K Nair1, Srinath Ramaswamy, Krystal Kan

  • 1Alzheimer Disease Center, Quincy, MA.

Abstract

Insights

Brain amyloid-PET scans are linked to lower Montreal Cognitive Assessment (MoCA) scores. A MoCA cutoff of 20 offers better accuracy for predicting amyloid-PET positivity in dementia patients.

Area of Science:

  • Neurology
  • Radiology
  • Cognitive Science

Background:

  • Brain amyloid-PET imaging is a sensitive diagnostic tool for Alzheimer's disease.
  • The relationship between amyloid-PET status and the Montreal Cognitive Assessment (MoCA) requires further investigation.
  • Optimizing the clinical application of amyloid-PET imaging is crucial.

Purpose of the Study:

  • To investigate the association between amyloid-PET scan results and MoCA scores.
  • To determine an optimal MoCA score cutoff for predicting amyloid-PET positivity.

Main Methods:

  • Retrospective chart review of patients with amyloid-PET scans and MoCA scores (2010-2017).
  • Analysis of the relationship between amyloid-PET status and MoCA scores, considering age, sex, education, and race.
  • Estimation of a MoCA score cutoff for predicting amyloid-PET positivity.

Main Results:

  • Amyloid-PET positivity correlated significantly with lower MoCA scores (median=19, P=0.01).
  • A MoCA cutoff of 25 (for MCI) showed suboptimal prediction of amyloid-PET positivity (sensitivity 94.6%, specificity 13.9%).
  • A MoCA cutoff of 20 demonstrated improved prediction (sensitivity 64.2%, specificity 67.4%).

Conclusions:

  • Lower MoCA scores are associated with amyloid-PET positivity.
  • The standard MoCA cutoff for minimal cognitive impairment may limit the clinical utility of amyloid-PET scans.

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