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O3‐09‐02: Cognitive Consequences of Cerebral Amyloid Pathology in Persons without Dementia
Author(s) -
Jansen Willemijn J.,
Ossenkoppele Rik,
Verhey Frans RJ.,
Visser Pieter Jelle
Publication year - 2016
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2016.06.556
Subject(s) - dementia , amyloid (mycology) , cognition , apolipoprotein e , biomarker , medicine , psychology , memory clinic , pittsburgh compound b , alzheimer's disease , effects of sleep deprivation on cognitive performance , pathology , disease , psychiatry , biology , biochemistry
ducted for six neuropsychological variables, and the fixed and random effect estimates were combined to obtain slope estimates for each participant. Hierarchical cluster analysis was conducted on slope estimates, and resulting clusters were compared on slopes, intercepts, demographics, AD risk, and clinical outcomes. A subset underwent MRI scans (n1⁄4235) and cerebrospinal fluid assays (n1⁄488). ANCOVA models (covarying age and gender) compared clustered groups on brain structure and AD biomarkers. Results: Cluster analysis resulted in three groups: 1) Multi-domain group declining on learning, memory, and executive function measures (n1⁄4188), 2) dysexecutive group with mild decline in verbal learning and executive functioning (n1⁄4152), and 3) group with normal age-related decline in processing speed only (n1⁄4337) (Table 1, Figure 1). The multi-domain cluster was older (F1⁄419.32, p<.001), comprised of more men (X1⁄4 9.20; p1⁄4.01), and endorsed more depressive symptoms (F1⁄43.51, p<.05) at baseline. The multi-domain group included a greater percentage of APOE ε4 carriers (X 1⁄4 5.27, p1⁄4.07), individuals with mild clinical symptoms (CDR1⁄40.5, X 1⁄4 20.39, p<.001) and clinical diagnoses (X 1⁄4 52.69, p<.001) at follow-up, and individuals classified as AD biomarker positive (18% total-tau/Ab-42 positive; X 1⁄4 7.26; p<.05). The dysexecutive cluster had less education (F1⁄45.06, p<.01) and lower literacy estimates (F1⁄414.06, p<.001). The normally aging cluster exhibited higher intercepts on neuropsychological measures (p’s< .02) and less global atrophy (F1⁄46.80, p1⁄4.001) (Figure 2). Conclusions:Cluster analysis of slopes reflecting annual rates of cognitive change provides a data-driven method to identify mild cognitive decline in late middle-age that may indicate increased risk for dementia due to AD.