Diagnostic transitions in mild cognitive impairment by use of simple Markov models

David Facal1, Joan Guàrdia-Olmos2, Onésimo Juncos-Rabadán1

  • 1Departament of Developmental Psychology, University de Santiago de Compostela, A Coruña, Spain.

Abstract

Insights

Transitions between normal cognition and mild cognitive impairment (MCI) subtypes were studied using Markov models. Multi-domain amnestic MCI showed the highest dementia conversion rate, highlighting the need for monitoring cognitive changes.

Area of Science:

  • Neurology
  • Gerontology
  • Biostatistics

Background:

  • Mild cognitive impairment (MCI) is a heterogeneous condition with variable outcomes, including persistence, progression to dementia, or improvement.
  • Understanding transitions between normal cognitive aging and MCI subtypes is crucial for patient management and prognosis.

Purpose of the Study:

  • To investigate the dynamic transitions between normal cognitive aging and three subtypes of mild cognitive impairment (MCI) using Markov transition models.
  • To analyze these transitions across different time intervals between baseline and follow-up assessments.

Main Methods:

  • A cohort of 294 participants aged over 50 were assessed and categorized into normal cognition, multi-domain amnestic MCI, single-domain amnestic MCI, or non-amnestic MCI.
  • Markov transition models were employed to analyze diagnostic changes over six overlapping time intervals.
  • The best model fit was observed for intervals between 18-21 months, while the poorest fit was for 9-15 months.

Main Results:

  • The control group exhibited the lowest rate of cognitive change.
  • Participants with single-domain amnestic MCI and non-amnestic MCI typically maintained their diagnosis or reverted to normal cognition.
  • The multi-domain amnestic MCI group demonstrated the lowest rate of transition to normal functioning and the highest rate of conversion to dementia.

Conclusions:

  • Markov models effectively illustrate transitions between MCI subtypes and normal cognitive functioning.
  • Strategic use of time intervals aids in monitoring diagnostic shifts in cognitive status.
  • Further research with broader time intervals is recommended for comprehensive monitoring.