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

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Mild cognitive impairment: risk of dementia according to subtypes

Cecilia M Serrano1, Carol Dillon, Adriana Leis

  • 1Laboratorio De Investigación De La Memoria Hospital Abel Zubizarreta, Buenos Aires Servicio de Investigación y Rehabitación Neurocognitiva-SIREN-CEMIC.

Actas Espanolas De Psiquiatria
|November 9, 2013
PubMed
Abstract

Insights

Mild cognitive impairment (MCI) subtypes have varying dementia conversion rates. Amnestic MCI showed the highest conversion to Alzheimer's disease, with age and retirement as key risk factors.

Area of Science:

  • Neurology
  • Neuroscience
  • Geriatrics

Background:

  • Mild cognitive impairment (MCI) presents in three subtypes: amnestic (aMCI), multiple domains (mdMCI), and non-amnestic single domain (na-SD-MCI).
  • The long-term evolution and conversion rates to dementia for these MCI subtypes require further investigation.

Purpose of the Study:

  • To determine the conversion rate to dementia across different MCI subtypes.
  • To identify risk factors associated with the progression from MCI to dementia.

Main Methods:

  • A cohort of 127 patients diagnosed with MCI and 17 healthy controls were assessed using comprehensive neuropsychological and neuropsychiatric evaluations.
  • MCI patients were categorized into amnestic MCI (n=20), multiple-domain MCI (n=98), and non-amnestic MCI (n=9) groups.

Main Results:

  • Overall, 27.1% of MCI patients converted to Alzheimer's-type dementia (AD) within an average of 11.12 months.
  • The amnestic MCI subtype exhibited the highest conversion rate to AD (35%), followed by multiple-domain MCI (31.6%) and non-amnestic MCI (11.1%).
  • Advanced age and retirement status were identified as significant risk factors increasing the likelihood of conversion to dementia.

Conclusions:

  • The amnestic MCI subtype demonstrates the highest propensity for conversion to Alzheimer's disease.
  • Age and retirement are critical factors influencing the progression from mild cognitive impairment to dementia.
  • Understanding subtype-specific conversion rates and risk factors is crucial for predicting dementia development and informing clinical management.

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