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

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

Published on: January 11, 2020

Mild cognitive impairment: risk of Alzheimer disease and rate of cognitive decline

P A Boyle1, R S Wilson, N T Aggarwal

  • 1Rush Alzheimer's Disease Center, Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL 60612, USA. Patricia_Boyle@Rush.edu

Neurology
|August 9, 2006
PubMed
Abstract

Insights

Individuals with mild cognitive impairment (MCI) face a significantly higher risk of developing Alzheimer disease (AD). MCI also accelerates cognitive decline compared to those without cognitive impairment.

Area of Science:

  • Neurology
  • Gerontology
  • Cognitive Science

Background:

  • Mild cognitive impairment (MCI) is a transitional stage between normal aging and dementia.
  • Understanding the progression of MCI is crucial for early intervention in Alzheimer disease (AD).

Purpose of the Study:

  • To determine if individuals with MCI have a higher risk of developing Alzheimer disease (AD).
  • To assess the rate of cognitive decline in individuals with MCI compared to those without cognitive impairment.

Main Methods:

  • Longitudinal study of 786 community-based individuals (221 with MCI, 565 without).
  • Annual clinical and neuropsychological evaluations were conducted.
  • Statistical models controlled for age, sex, and education.

Main Results:

  • Over 2.5 years, 25.8% of individuals with MCI developed AD, a 6.7-fold increase compared to controls.
  • Individuals with MCI exhibited a significantly faster annual decline in global cognitive function.

Conclusions:

  • Mild cognitive impairment (MCI) is strongly associated with an increased risk of developing Alzheimer disease (AD).
  • MCI is linked to a more rapid progression of cognitive decline.

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