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Updated: Mar 1, 2026

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

Published on: January 11, 2020

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Framingham Risk Score and the Risk of Progression from Mild Cognitive Impairment to Dementia

Giovanna Viticchi1, Lorenzo Falsetti2, Laura Buratti1

  • 1Neurological Clinic, Marche Polytechnic University, Ancona, Italy.

Journal of Alzheimer'S Disease : JAD
|June 7, 2017
PubMed
Abstract

Insights

The Framingham cardiovascular risk profile (FCRP) can help predict Alzheimer's disease (AD) progression in mild cognitive impairment (MCI) patients. Combining FCRP with apolipoprotein E (ApoE) ɛ4 carrier status further improves AD risk prediction.

Area of Science:

  • Neurology
  • Genetics
  • Cardiovascular Medicine

Background:

  • Mild cognitive impairment (MCI) often precedes Alzheimer's disease (AD).
  • Objective risk assessment for AD conversion in MCI patients is currently limited.
  • Understanding risk factors is crucial for early intervention.

Purpose of the Study:

  • To evaluate the Framingham cardiovascular risk profile (FCRP) for predicting AD conversion in MCI patients.
  • To assess if FCRP improves risk prediction in combination with genetic factors.

Main Methods:

  • Included 385 patients with amnestic MCI (aMCI).
  • Assessed vascular risk profiles and calculated FCRP.
  • Determined apolipoprotein E (ApoE) genotype.
  • Monitored conversion to AD within 24 months.

Main Results:

  • Age, FCRP, and vascular age showed predictive value for AD conversion.
  • FCRP performance improved in predicting conversion among ApoE ɛ4 carriers.
  • Conversion rates were 12.5% in low-risk and 43.2% in high-risk FCRP groups (p < 0.0001).
  • ApoE ɛ4 carriers had a 3.7-fold increased probability of conversion (p < 0.0001).

Conclusions:

  • FCRP is a reliable tool for predicting AD conversion in aMCI subjects.
  • ApoE ɛ4 status significantly increases the risk of conversion.
  • Vascular and genetic factors interact to influence cognitive decline progression.
Keywords:
Alzheimer’s diseaseapolipoproteinscognitive dysfunctiondementiarisk factors

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