Mild cognitive impairment in the older population: Who is missed and does it matter?

Blossom C M Stephan1, Carol Brayne, Ian G McKeith

  • 1Department of Public Health and Primary Care, Institute of Public Health, Cambridge UK. bcms2@cam.ac.uk <bcms2@cam.ac.uk>

Abstract

Insights

Different definitions for mild cognitive impairment (MCI) significantly impact dementia risk identification in the general population. Narrow criteria miss many at-risk individuals, while broad criteria may over-identify cases, highlighting the need for optimized population screening tools.

Area of Science:

  • Gerontology
  • Neurology
  • Public Health

Background:

  • Mild cognitive impairment (MCI) classification criteria vary, impacting their utility in different settings.
  • Understanding the implications of these varying criteria is crucial for effective population screening of dementia and pre-dementia states.
  • The extent of missed diagnoses of at-risk individuals using different MCI criteria in population studies remains unclear.

Purpose of the Study:

  • To evaluate the prevalence and two-year progression to dementia in individuals not meeting published MCI criteria.
  • To assess the impact of different MCI classification systems on identifying at-risk populations for dementia.

Main Methods:

  • Utilized data from the Medical Research Council Cognitive Function and Ageing Study, a large UK population-based cohort.
  • Analyzed prevalence and progression to dementia in individuals whose cognitive impairment did not meet established MCI definitions.

Main Results:

  • Prevalence estimates for individuals not classified under current MCI definitions showed extreme variability (2.5-41.0%).
  • Rates of progression to dementia in these non-classified groups were also highly variable (3.7-30.0%), indicating heterogeneity in MCI classification requirements.

Conclusions:

  • Narrow MCI definitions used in clinical settings exclude a substantial proportion of individuals who later develop dementia when applied to the general population.
  • Broader criteria may improve the selection of at-risk individuals in population settings but risk higher false positive rates.
  • Further research is needed to determine the optimal MCI classification system for population-based dementia risk assessment.

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