Ontology highlight
ABSTRACT: Introduction
We examine whether distinct brain atrophy patterns (using brain parenchymal fraction [BPF]) differentially predict functional performance and decline in Alzheimer's disease (AD), and are independently moderated by (1) a key AD genetic risk marker (apolipoprotein E [APOE]), (2) sex, and (3) high-risk group (women APOE ɛ4 carriers).Methods
We used a 2-year longitudinal sample of AD patients (baseline N = 170; mean age = 71.3 [9.1] years) from the Sunnybrook Dementia Study. We applied latent class analysis, latent growth modeling, and path analysis. We aimed to replicate our findings (N = 184) in the Alzheimer's Disease Neuroimaging Initiative.Results
We observed that high brain atrophy class predicted lower functional performance and steeper decline. This association was moderated by APOE, sex, and high-risk group. Baseline findings as moderated by APOE and high-risk group were replicated.Discussion
Women APOE ɛ4 carriers may selectively be at a greater risk of functional impairment with higher brain atrophy.
SUBMITTER: Sapkota S
PROVIDER: S-EPMC8515221 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Sapkota Shraddha S Ramirez Joel J Yhap Vanessa V Masellis Mario M Black Sandra E SE
Alzheimer's & dementia (Amsterdam, Netherlands) 20211014 1
<h4>Introduction</h4>We examine whether distinct brain atrophy patterns (using brain parenchymal fraction [BPF]) differentially predict functional performance and decline in Alzheimer's disease (AD), and are independently moderated by (1) a key AD genetic risk marker (apolipoprotein E [<i>APOE</i>]), (2) sex, and (3) high-risk group (women <i>APOE</i> ɛ4 carriers).<h4>Methods</h4>We used a 2-year longitudinal sample of AD patients (baseline <i>N </i>= 170; mean age = 71.3 [9.1] years) from the S ...[more]