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Classification criteria for mild cognitive impairment: a population-based validation study
K Ritchie1, S Artero, J Touchon
1Institut National de la Santé et de la Recherche Médicale, INSERM E99 30 Epidemiology of Nervous System Pathologies, Montpellier, France.
Objective:
To evaluate the predictive validity and temporal stability of diagnostic criteria for mild cognitive impairment (MCI).
Background:
MCI has been proposed as a nosologic entity referring to elderly persons with subclinical cognitive deficits due to incipient dementia. Classification criteria, which have been derived from small, selected clinical groups, are currently disputed, and have not yet been assessed within the general population.
Methods:
Subjects meeting current criteria for MCI and also age-associated cognitive decline (AACD-a similar concept that is assumed to be related to normal cognitive aging processes rather than incipient dementia) were identified within each of three waves of a longitudinal population study, which included a standardized neurologic examination.
Results:
In the general population, the prevalence of MCI was estimated to be 3.2% and AACD 19.3%. MCI was a poor predictor of dementia within a 3-year period, with an 11.1% conversion rate. Subjects with MCI also constituted an unstable group, with almost all subjects changing category each year. Discriminant function analysis failed to isolate a homogeneous clinical group. Subjects classified as AACD, contrary to the theoretical assumptions underlying the disorder, represented a more stable group, with a 28.6% conversion rate to dementia over 3 years (relative risk = 21.2).
Conclusion:
MCI criteria perform poorly when applied to a representative population sample. The authors propose modifications to current diagnostic criteria to increase their capacity to detect incipient dementia.
Insights
Diagnostic criteria for mild cognitive impairment (MCI) show poor predictive validity and temporal stability in the general population. Current criteria may need modification to better detect early dementia.
Area of Science:
- Gerontology
- Neurology
- Epidemiology
Background:
- Mild cognitive impairment (MCI) is proposed as a precursor to dementia in the elderly.
- Existing MCI diagnostic criteria, developed from small clinical groups, lack validation in the general population.
- The temporal stability and predictive accuracy of MCI criteria are under scrutiny.
Purpose of the Study:
- To assess the predictive validity of current diagnostic criteria for mild cognitive impairment (MCI).
- To evaluate the temporal stability of MCI diagnostic criteria in a longitudinal population study.
- To compare MCI with age-associated cognitive decline (AACD) in predicting dementia.
Main Methods:
- A longitudinal population study identified subjects meeting MCI and AACD criteria across three waves.
- Standardized neurologic examinations were administered to all participants.
- Discriminant function analysis was used to assess group homogeneity.
Main Results:
- MCI prevalence was 3.2% and AACD 19.3% in the general population.
- MCI was a poor predictor of dementia (11.1% conversion rate) and highly unstable over time.
- AACD, contrary to expectations, showed higher stability and a significant dementia conversion rate (28.6%, RR=21.2).
Conclusions:
- Current MCI diagnostic criteria demonstrate poor performance in a representative population.
- The instability and low predictive value of MCI criteria necessitate revisions.
- Modified criteria are proposed to enhance the detection of incipient dementia.
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