Early cognitive change in the general population: how do different definitions work?
OBJECTIVE
To explore the application of existing classifications of mild cognitive impairment (MCI) and associated states in a large population sample.


METHODS
Prospective cohort study, baseline phase (cross-sectional analysis).


METHODS
Large-scale multicenter study in the United Kingdom.


METHODS
Thirteen thousand four individuals aged 65 and older from the Medical Research Council Cognitive Function and Aging Study. From this, a subsample of 2,640 individuals was selected and completed a more-detailed cognitive assessment.


METHODS
Information on sociodemographic status, general health, cognitive impairment (measured using the Mini-Mental State Examination), and functional ability was collected in a structured interview at baseline. The Geriatric Mental State Automated Geriatric Examination for Computer-Assisted Taxonomy and the Cambridge Cognitive Examination were used in assessment to determine cognitive status. Using a systematic literature review to collect all symptom classifications for nonnormal dementia states, these were then operationalized retrospectively. Each participant was classified according to each.


RESULTS
Population prevalence estimates were variable (range 0.1-42%), reflecting differences in the focus and content of each state. Limited overlap existed between states such that many individuals were concurrently classified as normal and impaired. This highlights the heterogeneity in classification as captured using different definitions.


CONCLUSIONS
Classification of cognitively impaired and cognitively normal individuals is dependent on the way criteria are defined and operationalized. Each classification captures a unique group of individuals, with little concordance. Given the importance of early detection of dementia and the calls for screening, and recruitment into pharmacological trials of cognitively impaired individuals, there is an urgent need for an agreed-upon standard MCI case definition to use as a criterion standard.
Stephan
Blossom C M
BC
Department of Public Health and Primary Care, Institute of Public Health, Cambridge, United Kingdom. bcms2@cam.ac.uk
Matthews
Fiona E
FE
McKeith
Ian G
IG
Bond
John
J
Brayne
Carol
C
D000203:Activities of Daily Living; D000368:Aged; D003072:Cognition Disorders / Q000145:classification* / Q000175:diagnosis / Q000453:epidemiology; D015897:Comorbidity; D015577:Geriatric Assessment / Q000379:methods*; D006801:Humans; D008568:Memory; D015995:Prevalence; D006113:United Kingdom / Q000453:epidemiology