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Updated: Aug 8, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[A case-control study of risk factors in mild cognitive impairment]
Ji-ping Tan1, Lu-ning Wang, Wei Wang
1Department of Neurology, South Building, Chinese PLA General Hospital, Beijing 100853, China.
Objective:
To explore the risk factors of mild cognitive impairment (MCI).
Methods:
A case-control study including 97 MCI patients and 143 cognitive normal controls (NC) in Chinese PLA General Hospital was conducted. The cases and controls were matched for age, gender and occupation. The relationship between MCI and various factors was analysed by univariate and multivariate analysis.
Results:
Results data from univariate analysis showed that the history of coronary heart diseases, stroke, anaemia, and the education level had significant differences between NC and MCI patients. Multivariate analysis confirmed that the history of coronary heart diseases, stroke, anaemia and the education level were significantly related to MCI and their ORs (95% confidence interval) were 2.21 (1.18 - 4.14), 2.18 (1.20 - 3.98), 4.63 (1.79 - 11.97), 0.75 (0.58 - 0.97) respectively.
Conclusion:
The history of coronary heart diseases, stroke and anaemia were independent risk factors of MCI and high education level seemed to be a protective factor of MCI.
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