期刊
ALZHEIMERS & DEMENTIA
卷 15, 期 9, 页码 1195-1207出版社
WILEY
DOI: 10.1016/j.jalz.2019.05.012
关键词
Alzheimer's dementia; Neuropsychology; Neuropathology; Latent variable modeling; Individual differences; Heterogeneity
资金
- National Institute on Aging [R01AG17917, R01AG343749, R01AG42210]
- National Institutes on Aging program [PO1 AG03949]
- National Institute On Aging of the National Institutes of Health [K01AG054700]
- Sylvia and Leonard Foundation
Introduction: We classified individuals based on their baseline performance on cognitive measures and investigated the association between cognitive classifications and neuropathological findings similar to 7 years later, as an external validator. Methods: Brain autopsies of 779 decedents were examined. Baseline latent class analysis on 10 neuropsychological measures was previously assigned: mixed-domains impairment (n = 39, 5%), memory-specific impairment (n = 210, 27%), frontal impairment (n = 113, 14.5%), average cognition (n = 360, 46.2%), and superior cognition (n = 57, 7.3%). Linear regressions and risks ratios were used to examine the relation of latent class assignment at enrollment with neuropathological indices. Results: Amyloid beta, tau, and transactive response DNA-binding protein 43 were associated with mixed-domains impairment and memory-specific impairment classes similar to 7 years before death. Moderate arteriolosclerosis was associated with membership in the frontal impairment class. Discussion: Our findings support the use of latent class models that incorporate more comprehensive neuropsychological measures to classify cognitive impairment. (C) 2019 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据