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Updated: Jun 28, 2026
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Development of a rapid screening instrument for mild cognitive impairment and undiagnosed dementia
N Kyle Steenland1, Courtney M Auman, Purvi M Patel
1Department of Environmental and Occupational Health, School of Public Health, Emory University, Atlanta, GA 30322, USA. nsteenl@sph.emory.edu
Abstract:
Mild cognitive impairment (MCI) often presages development of Alzheimer's disease (AD). We recently completed a cross-sectional study to test the hypothesis that a combination of a brief cognitive screening instrument (Mini-Cog) with a functional scale (Functional Activities Questionnaire; FAQ) would accurately identify individuals with MCI and undiagnosed dementia. The Mini-Cog consists of a clock drawing task and 3-item recall, and takes less than 5 minutes to administer. The FAQ is a 30-item questionnaire completed by an informant. In addition to the Mini-Cog and FAQ, a traditional cognitive test battery was administered, and two neurologists and a neuropsychologist determined a consensus diagnosis of Normal, MCI, or Dementia. A classification tree algorithm was used to pick optimal cutpoints, and, using these cutpoints, the combined Mini-Cog and FAQ (MC-FAQ) predicted the consensus diagnosis with an accuracy of 83% and a weighted kappa of 0.81. When the population was divided into Normal and Abnormal, the sensitivity, specificity and positive predictive value were 89%, 90%, and 95%, respectively. The MC-FAQ discriminates individuals with MCI from cognitively normal individuals and those with dementia, and its ease of administration makes it an attractive screening instrument to aid detection of cognitive impairment in the elderly.
Insights
A quick screening tool combining the Mini-Cog and Functional Activities Questionnaire (MC-FAQ) accurately identifies mild cognitive impairment (MCI) and dementia. This method aids in early detection of cognitive decline in older adults.
Area of Science:
- Gerontology
- Neurology
- Cognitive Science
Background:
- Mild cognitive impairment (MCI) is a precursor to Alzheimer's disease (AD).
- Early detection of cognitive impairment is crucial for timely intervention.
- Existing screening methods may require significant time or resources.
Purpose of the Study:
- To evaluate the efficacy of a combined Mini-Cog and Functional Activities Questionnaire (MC-FAQ) screening tool.
- To determine if MC-FAQ can accurately identify individuals with MCI and undiagnosed dementia.
- To assess the utility of MC-FAQ as a rapid screening instrument for cognitive impairment in the elderly.
Main Methods:
- A cross-sectional study was conducted.
- Participants underwent the Mini-Cog (clock drawing, 3-item recall) and the informant-based Functional Activities Questionnaire (FAQ).
- A consensus diagnosis (Normal, MCI, Dementia) was established by expert clinicians, with a classification tree algorithm used for analysis.
Main Results:
- The MC-FAQ predicted the consensus diagnosis with 83% accuracy and a weighted kappa of 0.81.
- When dichotomized into Normal vs. Abnormal, MC-FAQ achieved 89% sensitivity, 90% specificity, and 95% positive predictive value.
- The tool effectively discriminates between cognitively normal individuals, those with MCI, and those with dementia.
Conclusions:
- The combined MC-FAQ is an accurate and efficient screening tool for identifying cognitive impairment, including MCI and dementia.
- Its ease of administration makes it suitable for widespread use in elderly populations.
- MC-FAQ can aid clinicians in the early detection of cognitive decline, potentially facilitating earlier management of conditions like Alzheimer's disease.
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