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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Conversion pattern and predictive factor of mild cognitive impairment in elderly Koreans.
Sung-Mi Shim1, Jihyun Song2, Jong-Hoon Kim3
1Division of Brain Diseases, Center for Biomedical Sciences, Korea National Institute of Health, 187 Osongsaengmyung-2-ro, Osong-eup, Cheongju-si, Chungcheongbuk-do, Republic of Korea; Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, 5-1 Anam-Dong, Seongbuk-Gu, Seoul, Republic of Korea.
Non-amnestic mild cognitive impairment (MCI) often progresses to amnestic MCI in elderly Koreans. Weight loss is a significant risk factor for developing MCI and cognitive decline.
Area of Science:
- Gerontology
- Neurology
- Cognitive Science
Background:
- Mild cognitive impairment (MCI) is a transitional stage between normal cognition and dementia.
- Understanding MCI conversion patterns is crucial for early intervention and prevention strategies in aging populations.
Purpose of the Study:
- To investigate the conversion characteristics of mild cognitive impairment (MCI) in elderly Korean individuals.
- To identify predictive risk factors associated with MCI progression.
Main Methods:
- Analysis of clinical data from 760 elderly participants over a two-year follow-up period.
- Utilized neuropsychological assessments and clinical examinations.
- Employed logistic regression models to determine MCI conversion risk factors.
Main Results:
- Among initially cognitively normal individuals, 23.4% progressed to MCI.
- Non-amnestic MCI showed higher instability, with 45.5% converting to amnestic MCI and 27.3% reverting to normal cognition.
- Weight loss was significantly associated with an increased risk of MCI conversion (OR=1.10) and cognitive decline.
Conclusions:
- Non-amnestic MCI appears to be a less stable form of cognitive impairment that may converge towards amnestic MCI.
- Weight loss is identified as a modifiable risk factor for cognitive decline in the elderly.
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