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Updated: Jun 24, 2026
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Awareness in patients with mild cognitive impairment (MCI)]
M Dekkers1, E W A Joosten-Weyn Banningh, P A T M Eling
1Verpleeghuis Zevenaar, Postbus 9000, 6900 GA Zevenaar. myrthedekkers@live.nl
Tijdschrift Voor Gerontologie En Geriatrie
|March 31, 2009
Summary
Mild Cognitive Impairment (MCI) patients show diminished awareness of their memory deficits, a potential early dementia predictor. This lack of insight was measured using the IQCODE-N, highlighting a key difference from healthy individuals.
Area of Science:
- Neurology
- Psychology
- Gerontology
Context:
- Mild Cognitive Impairment (MCI) is a significant risk factor for dementia.
- Awareness of deficits is a key symptom and potential early predictor of dementia.
- Assessing patient-partner discrepancy in perceived memory problems can reveal awareness levels.
Purpose:
- To investigate awareness of cognitive deficits in MCI patients.
- To determine if awareness of deficits predicts dementia development.
- To utilize the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE-N) to assess awareness.
Summary:
- MCI patients (n=61) exhibited a significantly higher discrepancy score between self and partner assessment of cognitive decline using IQCODE-N compared to healthy controls (n=40).
- This suggests diminished awareness of deficits in a majority (60%) of MCI patients.
- Patients with disturbed awareness scored significantly lower on the Mini-Mental State Examination (MMSE).
Impact:
- Diminished awareness in MCI patients is a quantifiable phenomenon.
- Awareness deficits may serve as an early indicator for dementia progression.
- Findings support the use of awareness assessment in early dementia detection strategies.
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