Evaluating the performance of the Montreal Cognitive Assessment in early stage Parkinson's disease

Sandra L Kletzel1, Juan Manuel Hernandez2, Elizabeth F Miskiel2

  • 1The Department of Veterans Affairs (VA), Center for Innovation in Complex Chronic Healthcare & Research Service, Edward Hines Jr. VA Hospital, PO 5000 S. 5th Avenue, Bldg. 1, (M/C 151H), Hines, IL 60141, USA.

Abstract

Insights

The Montreal Cognitive Assessment is a valid tool for measuring cognitive function in early Parkinson's disease. However, it may be too easy for some patients, potentially affecting results.

Area of Science:

  • Neurology
  • Psychometrics

Background:

  • Mild cognitive impairment (MCI) is prevalent in early Parkinson's disease (PD) and predicts dementia risk.
  • Reliable tools are crucial for tracking cognitive changes in PD.
  • The Montreal Cognitive Assessment (MoCA) is a global cognitive screening tool, but its psychometric properties in PD are not well-established.

Purpose of the Study:

  • To evaluate the psychometric properties of the MoCA in patients with early Parkinson's disease.
  • To assess the suitability of the MoCA for measuring mild cognitive impairment in the context of Parkinson's disease.

Main Methods:

  • Utilized Rasch analysis to examine psychometric properties.
  • Analyzed data from 395 newly diagnosed Parkinson's disease patients from the Parkinson's Progression Markers Initiative.

Main Results:

  • The MoCA demonstrated unidimensionality, with items forming a logical difficulty hierarchy.
  • A significant ceiling effect was observed, with 37% of participants achieving perfect scores.
  • 22% of participants scored between 21-25, indicating mild cognitive impairment.

Conclusions:

  • The MoCA functions as a unidimensional measure of global cognitive function in early Parkinson's disease.
  • Findings suggest potential for test item improvement to better target this population.
  • The MoCA can be a useful, though potentially limited, tool for assessing cognition in early PD.

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