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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 and dementia: the importance of modifiable risk factors

Thorleif Etgen1, Dirk Sander, Horst Bickel

  • 1Klinik und Poliklinik für Psychiatrie und Psychotherapie, Technische Universität München, Germany. thorleif.etgen@klinikum-traunstein.de

Deutsches Arzteblatt International
|December 14, 2011
PubMed
Abstract

Insights

Identifying and treating modifiable risk factors for mild cognitive impairment (MCI) is crucial. Addressing these factors in individuals with MCI may improve cognitive function and prevent further decline.

Area of Science:

  • Gerontology
  • Neurology
  • Public Health

Background:

  • Mild cognitive impairment (MCI) is a decline in cognitive function in the elderly, potentially preceding dementia.
  • The transition rate from MCI to dementia is 10-20% annually.
  • Further research into somatic diseases and modifiable risk factors for MCI and dementia is needed.

Purpose of the Study:

  • To review the association between somatic diseases, modifiable risk factors, and mild cognitive impairment (MCI).
  • To evaluate the current evidence on interventions for MCI and its risk factors.

Main Methods:

  • A selective literature search was conducted in PubMed and the Cochrane Library.
  • Pertinent original articles and reviews published between 1990 and December 2010 were analyzed.

Main Results:

  • MCI is linked to hypertension, diabetes mellitus, hyperlipidemia, and chronic renal failure.
  • Interventions for vitamin deficiencies, hyperhomocysteinemia, subclinical thyroid dysfunction, and hormone replacement therapy showed insufficient evidence of benefit.
  • A Mediterranean diet, physical activity, and moderate alcohol consumption may protect against MCI, while smoking is a risk factor.

Conclusions:

  • Modifiable risk factors for MCI should be identified and managed, particularly in individuals already diagnosed with MCI.
  • Optimal treatment of these factors may enhance cognitive performance or slow cognitive decline in MCI patients.

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