4.5 Article

Four Common Late-Life Cognitive Trajectories Patterns Associate with Replicable Underlying Neuropathologies

Journal

JOURNAL OF ALZHEIMERS DISEASE
Volume 82, Issue 2, Pages 647-659

Publisher

IOS PRESS
DOI: 10.3233/JAD-210293

Keywords

Cognitive decline; dementia; neurodegenerative disorders; neuropsychological tests; trajectories

Categories

Funding

  1. NIA/NIH [U01 AG016976]
  2. NIA [P30AG019610, P30 AG013846, P50 AG 008702, P50 AG025688, P50 AG047266, P30 AG010133, P50AG005146, P50 AG005134, P50 AG016574, P50 AG005138, P30 AG008051, P30 AG013854, P30 AG008017]
  3. NICHD [R01 HD064993]
  4. The NIA [P30 AG010161, P50 AG047366, P30 AG010129, P50 AG016573, P50 AG005131, P50 AG023501, P30 AG035982, P30 AG053760, P30 AG010124, P50 AG005133, P50 AG005142, P30 AG012300, P30 AG049638, P50 AG005136, P50 AG033514, P50 AG005681, P50 AG047270, P30 AG028383, R01 AG038651]

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This study examined cognitive trajectories in late life using two independent datasets and identified four similar trajectories in the decade before death. Factors associated with declining trajectories included death age, Braak neurofibrillary tangles stage, TDP-43, and alpha-synuclein. Multiple pathologies were most common in trajectories with cognitive decline.
Background: Late-life cognitive function is heterogeneous, ranging from no decline to severe dementia. Prior studies of cognitive trajectories have tended to focus on a single measure of global cognition or individual tests scores, rather than considering longitudinal performance on multiple tests simultaneously. Objective: The current study aimed to examine cognitive trajectories from two independent datasets to assess whether similar patterns might describe longitudinal cognition in the decade preceding death, as well as what participant characteristics were associated with trajectory membership. Methods: Data were drawn from autopsied longitudinally followed participants of two cohorts (total N = 1,346), community-based cohort at the University of Kentucky Alzheimer's Disease Research Center (n = 365) and National Alzheimer's Coordinating Center (n = 981). We used group-based multi-trajectory models (GBMTM) to identify cognitive trajectories over the decade before death using Mini-Mental State Exam, Logical Memory-Immediate, and Animal Naming performance. Multinomial logistic and Random Forest analyses assessed characteristics associated with trajectory groups. Results: GBMTM identified four similar cognitive trajectories in each dataset. In multinomial models, death age, Braak neurofibrillary tangles (NFT) stage, TDP-43, and alpha-synuclein were associated with declining trajectories. Random Forest results suggested the most important trajectory predictors were Braak NFT stage, cerebral atrophy, death age, and brain weight. Multiple pathologies were most common in trajectories with moderate or accelerated decline. Conclusion: Cognitive trajectories associated strongly with neuropathology, particularly Braak NFT stage. High frequency of multiple pathologies in trajectories with cognitive decline suggests dementia treatment and prevention efforts must consider multiple diseases simultaneously.

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