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Updated: Oct 11, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Predictors of Incident Mild Cognitive Impairment and Its Course in a Diverse Community-Based Population
Milou J Angevaare1, Jet M J Vonk1, Laiss Bertola1
1From the Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.J.A., J.M.J.V., L.B., L.Z., C.W.-M.W., A.B., N.S., R.M., J.J.M.), College of Physicians and Surgeons, Columbia University, New York, NY; Julius Center for Health Sciences and Primary Care (M.J.A., J.M.J.V., M.I.G.), University Medical Center Utrecht; Amsterdam UMC (M.J.A.), Vrije Universiteit Amsterdam, Department of Medicine for Older People, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, the Netherlands; and National Institute of Science and Technology in Molecular Medicine (L.B.), Federal University of Minas Gerais, Belo Horizonte, Brazil.
Background And Objectives:
To investigate sociodemographic and medical predictors of incident mild cognitive impairment (MCI) and subsequent course of MCI at follow-up, including sustained MCI diagnosis, classification as cognitively normal, and progression to dementia.
Methods:
Within a community-based cohort, diagnoses of MCI were made with a published algorithm. Diagnosis of dementia was based on clinical consensus. Cox regressions estimated hazard ratios of incident MCI associated with several predictors. Modified Poisson regressions estimated relative risks associated with predictors of diagnostic status at follow-up after incidence.
Results:
Among 2,903 cognitively normal participants at baseline, 752 developed MCI over an average of 6.3 (SD 4.5) years (incidence rate 56 per 1,000 person-years). Presence of APOE ε4 and higher medical burden increased risk of incident MCI, while more years of education, more leisure activities, and higher income decreased this risk. Of the incident MCI cases, after an average of 2.4 years of follow-up, 12.9% progressed to dementia, 9.6% declined in functioning and did not meet the algorithmic criteria for MCI but did not meet the clinical criteria for dementia, 29.6% continued to meet MCI criteria, and 47.9% no longer met MCI criteria. Multidomain MCI, presence of APOE ε4, depressive symptoms, and antidepressant use increased the risk of progression to dementia.
Discussion:
This community-based study showed that almost half of the individuals with incident MCI diagnoses were classified as cognitively normal at follow-up. Predictors of incident MCI demonstrably differed from those of subsequent MCI course; these findings can refine expectations for cognitive and functional course of those presenting with MCI.
Insights
Nearly half of individuals diagnosed with mild cognitive impairment (MCI) reverted to cognitively normal. Predictors for MCI incidence differ from those influencing its subsequent course, impacting dementia progression.
Area of Science:
- Neuroscience
- Gerontology
- Epidemiology
Background:
- Mild cognitive impairment (MCI) is a transitional stage between normal cognition and dementia.
- Understanding predictors of MCI incidence and its course is crucial for early intervention and prognosis.
Purpose of the Study:
- To identify sociodemographic and medical factors predicting incident MCI.
- To examine predictors of MCI outcomes, including sustained MCI, cognitive recovery, and dementia progression.
Main Methods:
- A community-based cohort study with 2,903 initially cognitively normal participants.
- MCI diagnosed using a published algorithm; dementia diagnosed by clinical consensus.
- Cox and modified Poisson regressions analyzed predictors of MCI incidence and follow-up status.
Main Results:
- 752 participants developed MCI (incidence rate 56/1,000 person-years).
- APOE ε4 and higher medical burden predicted MCI incidence; education, leisure, and income were protective.
- Of MCI cases, 12.9% progressed to dementia; multidomain MCI, APOE ε4, depression, and antidepressant use increased dementia risk.
Conclusions:
- Nearly half of incident MCI cases reverted to normal cognition, highlighting the dynamic nature of MCI.
- Distinct predictors influence MCI onset versus its subsequent course, informing prognostic expectations and management strategies.
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