Literature DB >> 32332125

Cognitive decline profiles differ in Parkinson disease dementia and dementia with Lewy bodies.

Denis S Smirnov1, Douglas Galasko1, Steven D Edland1, J Vincent Filoteo1, Lawrence A Hansen1, David P Salmon2.   

Abstract

OBJECTIVE: To examine whether domain-specific patterns of cognitive impairment and trajectories of decline differed in patients with clinically diagnosed Parkinson disease dementia (PDD) (N = 29) and autopsy-confirmed dementia with Lewy bodies (DLB) (N = 58) or Alzheimer disease (AD) (N = 174) and to determine the impact of pooling patients with PDD and DLB in clinical trials targeting cognition.
METHODS: Patients were matched on demographics and level of global cognitive impairment. Patterns of cross-sectional performance and longitudinal decline were examined in 4 cognitive domains: Visuospatial, Memory, Executive, and Language. Power analyses were performed to determine the numbers of participants needed to adequately power a hypothetical clinical trial to slow cognitive decline in pure PDD, pure DLB, or a mixed PDD/DLB group.
RESULTS: Both DLB and PDD were more impaired and declined more rapidly than AD in the Visuospatial domain. Patients with PDD exhibited the most impairment and fastest decline in Executive, although patients with DLB also declined faster than AD. Memory was more impaired in AD than DLB and in both compared with PDD; however, all 3 groups declined at comparable rates. In contrast, PDD declined at a slower rate on Language measures than DLB or AD. Power analyses suggest that Visuospatial and Executive outcome measures would be most sensitive in PDD, but Memory and Language in DLB.
CONCLUSION: DLB and PDD differ from each other, and from AD, in a cognitive domain-specific manner. As such, different outcome measures may be most sensitive to detecting changes in DLB vs PDD, suggesting that the 2 should be analyzed separately in clinical trials.
© 2020 American Academy of Neurology.

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Year:  2020        PMID: 32332125      PMCID: PMC7526670          DOI: 10.1212/WNL.0000000000009434

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   11.800


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