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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

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Published on: January 11, 2020

Early cognitive change in the general population: how do different definitions work?

Blossom C M Stephan1, Fiona E Matthews, Ian G McKeith

  • 1Department of Public Health and Primary Care, Institute of Public Health, Cambridge, United Kingdom. bcms2@cam.ac.uk

Journal of the American Geriatrics Society
|October 3, 2007
PubMed
Summary

Classifying mild cognitive impairment (MCI) is inconsistent across different definitions, leading to varied prevalence estimates and poor agreement between classifications. A standardized MCI definition is crucial for early dementia detection and clinical trials.

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Area of Science:

  • Geriatric Medicine
  • Cognitive Neurology
  • Epidemiology

Background:

  • Mild cognitive impairment (MCI) is a transitional state between normal aging and dementia.
  • Existing classification systems for MCI lack standardization, leading to inconsistencies in diagnosis and research.

Purpose of the Study:

  • To evaluate the applicability of current MCI classification systems within a large population.
  • To highlight the heterogeneity in defining and classifying cognitive impairment.

Main Methods:

  • A prospective cohort study with a cross-sectional baseline analysis was conducted.
  • A large-scale, multicenter study in the UK included 13,041 individuals aged 65+, with a subsample of 2,640 undergoing detailed cognitive assessment.
  • Data collected included sociodemographics, general health, cognitive function (Mini-Mental State Examination), and functional ability, using the Geriatric Mental State Automated Geriatric Examination and Cambridge Cognitive Examination.

Main Results:

  • Population prevalence estimates for MCI varied significantly (0.1-42%) due to differing classification criteria.
  • There was limited overlap between classifications, with many individuals concurrently categorized as both normal and impaired.
  • This demonstrates substantial heterogeneity in how cognitive impairment is captured by various definitions.

Conclusions:

  • The classification of cognitive status is highly dependent on the specific criteria and operationalization used.
  • Current classification systems show poor concordance, identifying distinct individual groups.
  • An agreed-upon standard definition for MCI is urgently needed for accurate early dementia detection, screening, and recruitment into clinical trials.