Cognitive function in the early phase of Parkinson's disease, a five-year follow-up

M E Domellöf1, U Ekman1,2,3, L Forsgren1

  • 1Department of Pharmacology and Clinical Neuroscience, Umeå University, Umeå, Sweden.

Abstract

Insights

Mild cognitive impairment (MCI) predicts Parkinson's disease dementia (PDD). Older patients with MCI and cognitive decline require monitoring for PDD and fall risk.

Area of Science:

  • Neurology
  • Neuroscience
  • Geriatrics

Background:

  • Mild cognitive impairment (MCI) is a known predictor for Parkinson's disease dementia (PDD).
  • Recent Movement Disorder Society (MDS) guidelines address PD-MCI, but long-term predictive data for PDD remain limited.
  • Understanding PD-MCI progression is crucial for early PDD detection and management.

Purpose of the Study:

  • To evaluate the predictive value of the MDS PD-MCI guidelines for the development of PDD.
  • To identify baseline characteristics differentiating MCI converters to PDD from non-converters.
  • To examine the evolution of motor function in relation to PDD development.

Main Methods:

  • A community-based cohort of 147 Parkinson's disease (PD) patients was assessed using MDS PD-MCI and PDD criteria.
  • Predictive ability of PD-MCI for PDD was investigated.
  • Baseline cognitive and motor functions were compared between MCI converters and non-converters.

Main Results:

  • One-fourth of the cohort developed PDD.
  • MCI and older age at baseline predicted PDD development.
  • Episodic memory, visuospatial function, semantic fluency, and mental flexibility deficits distinguished MCI converters.
  • Postural instability/gait difficulty (PIGD) phenotype and education did not predict PDD, but gait disturbances worsened in those developing dementia.

Conclusions:

  • The MDS PD-MCI guidelines effectively identify patients at risk for PDD.
  • While PIGD was not an early predictor, gait disturbances show a temporal link with PDD.
  • Older PD patients with MCI and specific cognitive declines warrant close monitoring for cognitive changes and fall risk.

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