Subclassifications for mild cognitive impairment: prevalence and predictive validity

A Busse1, J Bischkopf, S G Riedel-Heller

  • 1Leipzig Longitudinal Study of the Aged LEILA 75+, Department of Psychiatry, University of Leipzig, Germany.

Psychological Medicine
|August 30, 2003
PubMed
Abstract

Insights

Subclassifications for mild cognitive impairment (MCI) vary in predicting dementia. MCI-amnestic shows the highest predictive power, while modified criteria increase sensitivity but decrease specificity for dementia risk.

Area of Science:

  • Gerontology
  • Neuroscience
  • Cognitive Science

Background:

  • Mild cognitive impairment (MCI) is a known risk factor for dementia.
  • Current Concepts in MCI Conference proposed subclassifications (amnestic, multiple nonmemory domains, single nonmemory domain) due to MCI heterogeneity.
  • These proposed MCI subclassifications lacked empirical validation.

Purpose of the Study:

  • To empirically validate proposed MCI subclassifications.
  • To determine the prevalence and predictive validity of MCI subclassifications for dementia.
  • To compare original and modified MCI criteria for diagnostic accuracy.

Main Methods:

  • A longitudinal study of 1045 community-dwelling individuals aged 75+.
  • Neuropsychological testing was administered across three waves.
  • Prevalence and predictive validity of MCI subclassifications and modified criteria were assessed.

Main Results:

  • MCI prevalence ranged from 1% to 15% based on criteria used.
  • Individuals diagnosed with MCI progressed to dementia at rates of 10% to 55% over 2.6 years.
  • MCI-amnestic demonstrated the highest positive predictive power (PPP); most other subclassifications showed poor dementia prediction (AUC=0.585 for one modified subset).

Conclusions:

  • Modified MCI criteria enhance diagnostic sensitivity but reduce specificity and PPP.
  • Original MCI criteria (including subjective cognitive complaint) are preferred for high specificity and PPP.
  • The choice of MCI criteria depends on whether high sensitivity or high specificity/PPP is prioritized for dementia prediction.

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