The MoCA: well-suited screen for cognitive impairment in Parkinson disease
J C Dalrymple-Alford1, M R MacAskill, C T Nakas
1Van der Veer Institute for Parkinson's and Brain Research, 66 Stewart St., Christchurch 8011, New Zealand. john.dalrymple-alford@canterbury.ac.nz
Objective:
To establish the diagnostic accuracy of the Montreal Cognitive Assessment (MoCA) when screening externally validated cognition in Parkinson disease (PD), by comparison with a PD-focused test (Scales for Outcomes in Parkinson disease-Cognition [SCOPA-COG]) and the standardized Mini-Mental State Examination (S-MMSE) as benchmarks.
Methods:
A convenience sample of 114 patients with idiopathic PD and 47 healthy controls was examined in a movement disorders center. The 21 patients with dementia (PD-D) were diagnosed using Movement Disorders Society criteria, externally validated by detailed independent functional and neuropsychological tests. The 21 patients with mild cognitive impairment (PD-MCI) scored 1.5 SD or more below normative data in at least 2 measures in 1 of 4 cognitive domains. Other patients had normal cognition (PD-N).
Results:
Primary outcomes using receiver operating characteristic (ROC) curve analyses showed that all 3 mental status tests produced excellent discrimination of PD-D from patients without dementia (area under the curve [AUC], 87%-91%) and PD-MCI from PD-N patients (AUC, 78%-90%), but the MoCA was generally better suited across both assessments. The optimal MoCA screening cutoffs were <21/30 for PD-D (sensitivity 81%; specificity 95%; negative predictive value [NPV] 92%) and <26/30 for PD-MCI (sensitivity 90%; specificity 75%; NPV 95%). Further support that the MoCA is at least equivalent to the SCOPA-COG, and superior to the S-MMSE, came from the simultaneous classification of the 3 PD patient groups (volumes under a 3-dimensional ROC surface, chance = 17%: MoCA 79%, confidence interval [CI] 70%-89%; SCOPA-COG 74%, CI 62%-86%; MMSE-Sevens item 56%, CI 44%-68%; MMSE-World item 62%, CI 50%-73%).
Conclusions:
The MoCA is a suitably accurate, brief test when screening all levels of cognition in PD.
Insights
The Montreal Cognitive Assessment (MoCA) accurately screens cognitive impairment in Parkinson disease (PD), outperforming other tests. It is a reliable tool for assessing various cognitive levels in PD patients.
Area of Science:
- Neurology
- Neuropsychology
- Gerontology
Background:
- Cognitive impairment is common in Parkinson disease (PD).
- Accurate screening tools are essential for early detection and management.
- Existing tools may not fully capture the spectrum of cognitive deficits in PD.
Purpose of the Study:
- To evaluate the diagnostic accuracy of the Montreal Cognitive Assessment (MoCA) for screening cognitive function in Parkinson disease (PD).
- To compare MoCA's performance against the Scales for Outcomes in Parkinson disease-Cognition (SCOPA-COG) and the Mini-Mental State Examination (S-MMSE).
Main Methods:
- A study involving 114 idiopathic PD patients and 47 healthy controls.
- Patients were categorized into dementia (PD-D), mild cognitive impairment (PD-MCI), and normal cognition (PD-N) groups based on established criteria.
- Diagnostic accuracy was assessed using receiver operating characteristic (ROC) curve analyses.
Main Results:
- MoCA demonstrated excellent discrimination between PD-D and non-dementia patients (AUC 87%-91%) and between PD-MCI and PD-N patients (AUC 78%-90%).
- Optimal MoCA cutoffs were identified as <21/30 for PD-D and <26/30 for PD-MCI, with high sensitivity and specificity.
- MoCA's overall performance in classifying PD patient groups was superior to S-MMSE and comparable to SCOPA-COG.
Conclusions:
- The Montreal Cognitive Assessment (MoCA) is a highly accurate and brief tool for screening all cognitive levels in Parkinson disease (PD).
- MoCA serves as a valuable instrument for identifying cognitive deficits in PD patients.
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