Use of the Montreal Cognitive Assessment and Alzheimer's Disease-8 as cognitive screening measures in Parkinson's disease

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13 Citations (Scopus)

Abstract

Objective To examine the sensitivity and specificity of the Montreal Cognitive Assessment (MoCA), a brief cognitive screening measure previously validated for use in Parkinson's disease (PD), and Alzheimer's Disease-8 (AD8), an eight-item informant report used to screen for dementia, but not yet validated for use in PD, to identify cognitive impairment in a sample of 111 patients with PD. Methods Cognitive impairment was determined based on a battery of neuropsychological measures, excluding the MoCA and AD8. Classification rates of both the MoCA and AD8 in identifying cognitive impairment were examined using logistic regression and receiver operator characteristic (ROC) analysis. Optimal cutoff scores were determined to maximize sensitivity and specificity. Results The MoCA correctly classified 78.4% of participants (p <0.001), and ROC analysis yielded an area under the curve (AUC) of 0.82. A MoCA cutoff score of

Original languageEnglish (US)
Pages (from-to)264-272
Number of pages9
JournalInternational Journal of Geriatric Psychiatry
Volume31
Issue number3
DOIs
StatePublished - Mar 1 2016

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Parkinson Disease
Sensitivity and Specificity
Area Under Curve
Dementia
Logistic Models
Alzheimer Disease 8
Cognitive Dysfunction

Keywords

  • Alzheimer's Disease-8
  • brief screening measures
  • cognitive impairment
  • Montreal Cognitive Assessment
  • neuropsychological assessment
  • Parkinson's disease

ASJC Scopus subject areas

  • Geriatrics and Gerontology
  • Psychiatry and Mental health

Cite this

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abstract = "Objective To examine the sensitivity and specificity of the Montreal Cognitive Assessment (MoCA), a brief cognitive screening measure previously validated for use in Parkinson's disease (PD), and Alzheimer's Disease-8 (AD8), an eight-item informant report used to screen for dementia, but not yet validated for use in PD, to identify cognitive impairment in a sample of 111 patients with PD. Methods Cognitive impairment was determined based on a battery of neuropsychological measures, excluding the MoCA and AD8. Classification rates of both the MoCA and AD8 in identifying cognitive impairment were examined using logistic regression and receiver operator characteristic (ROC) analysis. Optimal cutoff scores were determined to maximize sensitivity and specificity. Results The MoCA correctly classified 78.4{\%} of participants (p <0.001), and ROC analysis yielded an area under the curve (AUC) of 0.82. A MoCA cutoff score of",
keywords = "Alzheimer's Disease-8, brief screening measures, cognitive impairment, Montreal Cognitive Assessment, neuropsychological assessment, Parkinson's disease",
author = "Brown, {Daniel S.} and Bernstein, {Ira H.} and McClintock, {Shawn M.} and {Munro Cullum}, C. and Dewey, {Richard B.} and Mustafa Husain and Lacritz, {Laura H.}",
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AU - Brown, Daniel S.

AU - Bernstein, Ira H.

AU - McClintock, Shawn M.

AU - Munro Cullum, C.

AU - Dewey, Richard B.

AU - Husain, Mustafa

AU - Lacritz, Laura H.

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AB - Objective To examine the sensitivity and specificity of the Montreal Cognitive Assessment (MoCA), a brief cognitive screening measure previously validated for use in Parkinson's disease (PD), and Alzheimer's Disease-8 (AD8), an eight-item informant report used to screen for dementia, but not yet validated for use in PD, to identify cognitive impairment in a sample of 111 patients with PD. Methods Cognitive impairment was determined based on a battery of neuropsychological measures, excluding the MoCA and AD8. Classification rates of both the MoCA and AD8 in identifying cognitive impairment were examined using logistic regression and receiver operator characteristic (ROC) analysis. Optimal cutoff scores were determined to maximize sensitivity and specificity. Results The MoCA correctly classified 78.4% of participants (p <0.001), and ROC analysis yielded an area under the curve (AUC) of 0.82. A MoCA cutoff score of

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