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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
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[Daytime sleepiness and cognitive disorders in elderly patients]
G V Kovrov1, A V Medvedeva1, A V Aronson1
1Sechenov First Moscow State Medical Univesity, Moscow, Russia.
Zhurnal Nevrologii I Psikhiatrii Imeni S.S. Korsakova
|February 28, 2020
Summary
Daytime sleepiness is linked to cognitive impairment and dementia risk in older adults. Further research into sleepiness symptoms may help predict dementia progression.
Area of Science:
- Gerontology
- Neurology
- Sleep Medicine
Background:
- Cognitive impairment and dementia are significant concerns in the elderly population.
- Daytime sleepiness is a prevalent symptom that may impact cognitive function.
- Existing diagnostic tools for daytime sleepiness include diaries and clinical assessments.
Purpose of the Study:
- To present data on the contribution of daytime sleepiness to cognitive impairment in elderly patients.
- To explore the relationship between daytime sleepiness and dementia.
- To suggest future research directions for predicting dementia.
Main Methods:
- Review of current diagnostic methods for daytime sleepiness.
- Analysis of studies correlating daytime sleepiness with cognitive decline and dementia.
- Examination of potential neurochemical mechanisms involved.
Main Results:
- Daytime sleepiness correlates with various types of dementia.
- Evidence suggests common neurochemical pathways may underlie both conditions.
- Multiple studies indicate an increased risk of dementia in elderly individuals with daytime sleepiness.
Conclusions:
- Daytime sleepiness is a significant factor associated with cognitive impairment and dementia risk in the elderly.
- The correlation suggests shared underlying neurobiological mechanisms.
- Future research should focus on clinical and paraclinical aspects of daytime sleepiness for improved dementia prognosis.
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