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Updated: Mar 1, 2026
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Prognostic Accuracy of Mild Cognitive Impairment Subtypes at Different Cut-Off Levels
Mattias Göthlin1, Marie Eckerström, Sindre Rolstad
1Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.
Background/Aims:
The prognostic accuracy of mild cognitive impairment (MCI) in clinical settings is debated, variable across criteria, cut-offs, subtypes, and follow-up time. We aimed to estimate the prognostic accuracy of MCI and the MCI subtypes for dementia using three different cut-off levels.
Methods:
Memory clinic patients were followed for 2 (n = 317, age 63.7 ± 7.8) and 4-6 (n = 168, age 62.6 ± 7.4) years. We used 2.0, 1.5, and 1.0 standard deviations (SD) below the mean of normal controls (n = 120, age 64.1 ± 6.6) to categorize MCI and the MCI subtypes. Prognostic accuracy for dementia syndrome at follow-up was estimated.
Results:
Amnestic multi-domain MCI (aMCI-md) significantly predicted dementia under all conditions, most markedly when speed/attention, language, or executive function was impaired alongside memory. For aMCI-md, sensitivity increased and specificity decreased when the cut-off was lowered from 2.0 to 1.5 and 1.0 SD. Non-subtyped MCI had a high sensitivity and a low specificity.
Conclusion:
Our results suggest that aMCI-md is the only viable subtype for predicting dementia for both follow-up times. Lowering the cut-off decreases the positive predictive value and increases the negative predictive value of aMCI-md. The results are important for understanding the clinical prognostic utility of MCI, and MCI as a non-progressive disorder.
Insights
Amnestic multi-domain mild cognitive impairment (MCI) is the only subtype that accurately predicts dementia. Lowering diagnostic cut-offs for MCI impacts predictive values, highlighting its clinical utility.
Area of Science:
- Neurology
- Gerontology
- Cognitive Science
Background:
- The prognostic accuracy of mild cognitive impairment (MCI) in clinical settings is variable and debated.
- Different criteria, cut-offs, subtypes, and follow-up durations influence MCI's predictive power for dementia.
Purpose of the Study:
- To estimate the prognostic accuracy of MCI and its subtypes for predicting dementia.
- To evaluate the impact of three different cut-off levels on prognostic accuracy.
Main Methods:
- Memory clinic patients (n=317 at 2 years, n=168 at 4-6 years) were followed.
- MCI and subtypes were categorized using 2.0, 1.5, and 1.0 standard deviations (SD) below normal control means.
- Prognostic accuracy for dementia syndrome was estimated at follow-up.
Main Results:
- Amnestic multi-domain MCI (aMCI-md) significantly predicted dementia across all conditions.
- Lowering the cut-off for aMCI-md increased sensitivity and decreased specificity.
- Non-subtyped MCI demonstrated high sensitivity but low specificity for dementia prediction.
Conclusions:
- Amnestic multi-domain MCI (aMCI-md) is the sole viable subtype for dementia prediction in memory clinic patients.
- Adjusting diagnostic cut-offs for aMCI-md influences predictive values, impacting clinical utility.
- Findings clarify the prognostic utility of MCI and its role as a potentially non-progressive disorder.
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