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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 in general practice: age-specific prevalence and correlate results from the German study on

Tobias Luck1, Steffi G Riedel-Heller, Hanna Kaduszkiewicz

  • 1Department of Psychiatry, University of Leipzig, Leipzig, Germany. tobias.luck@medizin.uni-leipzig.de

Dementia and Geriatric Cognitive Disorders
|September 13, 2007
PubMed
Abstract

Insights

Mild cognitive impairment (MCI) is common in elderly patients seen by general practitioners (GPs). Early detection by GPs is crucial for preventing dementia progression.

Area of Science:

  • Gerontology
  • Neurology
  • General Practice

Background:

  • Mild cognitive impairment (MCI) is a significant risk factor for dementia.
  • Prevalence of MCI in general practitioner (GP) populations is not well-established.

Purpose of the Study:

  • Estimate the prevalence of original and modified MCI concepts in GP patients.
  • Investigate associations between MCI and sociodemographic, medical, and genetic factors (apoE ε4).

Main Methods:

  • A cohort of 3,327 individuals aged 75+ from GP practices was studied.
  • Structured clinical interviews were used for assessment.

Main Results:

  • Prevalence rates for MCI were 15.4% (original) and 25.2% (modified).
  • MCI prevalence increased with age.
  • Associations found with apoE ε4 allele, vascular diseases, and depressive symptoms.

Conclusions:

  • MCI is highly prevalent in elderly patients within primary care settings.
  • GPs play a vital role in the secondary prevention and management of cognitive decline.
  • Timely intervention by GPs can aid in delaying or preventing dementia.

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