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Updated: Mar 8, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Predictive Factors of Rapid Cognitive Decline in Patients with Alzheimer Disease
Coralie Barbe1, Isabella Morrone2, J L Novella3
1Faculty of Medicine, EA 3797, University of Reims Champagne-Ardenne, Reims, France; Department of Research and Public Health, Reims University Hospital, Reims, France.
Aim:
To determine predictive factors associated with rapid cognitive decline (RCD) in elderly patients suffering from Alzheimer disease (AD).
Methods:
Patients suffering from mild to moderate AD were included. RCD was defined as the loss of at least 3 points on the Mini-Mental State Examination (MMSE) over 12 months. Factors associated with RCD were identified by logistic regression.
Results:
Among 123 patients included, 61 were followed up until 12 months. RCD occurred in 46% of patients (n = 28). Polymedication (p < 0.0001), the fact that the caregiver was the child or spouse of the patient (p < 0.0001) and autonomy for washing (p < 0.0001) were protective factors against RCD, while the presence of caregiver burden (p < 0.0001) was shown to be a risk factor for RCD.
Conclusion:
Early detection of the RCD risk in AD patients could make it possible to anticipate the patient's medical needs and adjust the care plan for caregiver burden.
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