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Public Health.

Pieter J van der Veere1,2,3, Hana M Broulíková2,4,5, Jeroen Hoogland3

  • 1Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands.

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Summary

A new simulation model accurately predicts Alzheimer's disease progression in biomarker-confirmed patients. Interventions slowing cognitive decline significantly delay institutionalization, offering hope for Alzheimer's disease (AD) treatment.

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Area of Science:

  • Biomedical modeling
  • Neurodegenerative disease progression
  • Pharmacological intervention simulation

Background:

  • Current Alzheimer's disease (AD) simulation models lack biomarker confirmation, limiting their applicability to treatment eligibility.
  • There is a need for models simulating natural disease trajectories in biomarker-confirmed AD patients to evaluate therapeutic effects.
  • This study addresses the gap by developing a model for amyloid-positive individuals in memory clinics.

Purpose of the Study:

  • To develop and validate a microsimulation model for the natural disease progression of biomarker-confirmed Alzheimer's disease (AD) patients.
  • To evaluate the time gained in different disease stages (MCI, mild, moderate, severe dementia, institutionalization) under hypothetical treatment scenarios.
  • To quantify the impact of interventions targeting cognitive decline and transition hazards.

Main Methods:

  • Developed an AD microsimulation model incorporating stages: mild cognitive impairment (MCI), mild, moderate, severe dementia, institutionalization, and death.
  • Estimated model parameters using data from 388 amyloid-positive MCI and 762 amyloid-positive dementia patients from the Amsterdam Dementia Cohort.
  • Utilized joint models for Mini-Mental State Examination (MMSE) decline and transitions between disease states; validated model performance against observed cumulative incidences.

Main Results:

  • The model demonstrated good performance, with predicted cumulative incidences closely matching observed data.
  • Mean natural disease progression times were estimated: MCI (3.4 yrs), mild dementia (2.6 yrs), moderate dementia (1.6 yrs), severe dementia (1.0 yr), and institutionalization (1.7 yrs), totaling 10.2 years from MCI to death.
  • Simulated interventions showed significant benefits: a 30% MMSE decline slowdown extended MCI duration by 4 months and delayed institutionalization by 12 months; combined interventions further improved outcomes.

Conclusions:

  • A validated microsimulation model for biomarker-confirmed AD patients (MCI and mild dementia) has been successfully developed.
  • The model accurately quantifies the longitudinal consequences of different treatment mechanisms and hypothetical therapeutic scenarios.
  • This tool can aid in evaluating the potential effectiveness of amyloid-targeting therapies in clinical practice and drug development.