Related Experiment Video
Updated: Nov 30, 2025

12:18
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
7.8K
Montreal Cognitive Assessment - Single Cutoff Achieves Screening Purpose
Pui Yu Yeung1, L L Louise Wong2, Chun Chung Chan2
1Department of Medicine, Tung Wah Eastern Hospital, Causeway Bay, Hong Kong Special Administrative Region, People's Republic of China.
Neuropsychiatric Disease and Treatment
|November 16, 2020
Summary
The Montreal Cognitive Assessment, Hong Kong version (HK-MoCA) effectively screens for cognitive impairment in Chinese older adults. Single cutoff scores provide a practical method for identifying mild cognitive impairment and dementia.
Area of Science:
- Gerontology
- Neuropsychology
- Cognitive Assessment
Background:
- Cognitive impairment is a growing concern in aging populations.
- Accurate screening tools are crucial for early detection and intervention.
- The Montreal Cognitive Assessment, Hong Kong version (HK-MoCA) is a widely used cognitive screening tool.
Purpose of the Study:
- To compare the performance of norm-derived age and education adjusted cutoff scores versus single cutoff scores for the HK-MoCA.
- To evaluate the effectiveness of different HK-MoCA scoring methods in classifying cognitive impairment in Chinese older adults.
Main Methods:
- A total of 315 subjects (128 with dementia, 122 with mild cognitive impairment (MCI), and 65 normal) were assessed.
- HK-MoCA total scores were analyzed using norm-derived cutoffs (16th, 7th, 2nd percentiles) and single cutoff scores.
- Performance was compared based on sensitivity, specificity, and accuracy in classifying cognitive status.
Main Results:
- Single cutoff scores demonstrated good sensitivity and specificity in differentiating normal cognition, MCI, and dementia.
- Norm-derived adjusted cutoff scores offered high specificity but at the cost of sensitivity.
- Classification accuracy was 85.3% with single cutoff scores, while consistency with expert diagnoses varied for norm-derived cutoffs.
Conclusions:
- The HK-MoCA is a valuable and time-efficient screening tool for cognitive impairment.
- Single cutoff scores, with simple education adjustment, effectively serve the screening purpose for MCI and dementia in Chinese older adults.
- The study highlights the practical utility of the HK-MoCA in clinical settings for cognitive assessment.
More Related Videos
Related Concept Videos
Multiple Comparison Tests
4.3K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
4.3K
Receiver Operating Characteristic Plot
406
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
406

