1. Temporal Sequence of Incident Mild Cognitive Impairment, Incident Parkinsonism, and Risk of Death in Unimpaired Community-Dwelling Older Adults.
- Author
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Zammit, Andrea R, Yu, Lei, Oveisgharan, Shahram, Schneider, Julie A, Bennett, David A, and Buchman, Aron S
- Subjects
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PARKINSON'S disease , *PROPORTIONAL hazards models , *MILD cognitive impairment , *SEQUENTIAL analysis , *OLDER people - Abstract
Background Mild cognitive impairment (MCI) and parkinsonism affect many older adults. The objective of this study was to determine the sequence of their occurrence and associated risk of death. Methods A total of 1255 community-dwelling unimpaired participants from 2 epidemiological cohorts were examined annually. MCI was based on neuropsychological testing and parkinsonism was based on the motor portion of the modified Unified Parkinson's Disease Rating Scale. A multistate Cox proportional hazards model simultaneously examined incidences of MCI, parkinsonism, and death. Results The average age at baseline was 76.5 years (standard deviation [SD] = 7.2) and 73% were female. Incident MCI occurred almost as commonly as incident parkinsonism, yet compared with no impairment, the risk of death was higher for MCI (hazard ratio [HR] = 1.82, 95% confidence interval [CI] = 1.34, 2.47), but it was not different for parkinsonism (HR = 1.29; 95% CI =0.95, 1.75). The risk of death for participants with incident MCI who progressed to parkinsonism (40%) was not significantly different from those with MCI alone (HR = 1.25, 95% CI = 0.93, 1.69). However, the risk of death for participants with incident parkinsonism who progressed to MCI (51%) was significantly higher than those who did not progress (HR = 1.67, 95% CI = 1.27, 2.18), indicating that the risk of death is highest with the incidence of MCI. Conclusions The varied patterns of sequential occurrence of cognitive and motor impairment and associated risk of death suggest much greater heterogeneity than previously recognized. Further work is needed to determine the biology underlying the temporal evolution of these phenotypes, and if identification of the various subtypes improves risk stratification. [ABSTRACT FROM AUTHOR]
- Published
- 2025
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