生物标志物
危险系数
纵向研究
比例危险模型
痴呆
临床试验
神经退行性变
多元统计
医学
多元分析
内科学
心理学
肿瘤科
生物
疾病
病理
置信区间
统计
生物化学
数学
作者
Jin‐Tai Yu,Jie‐Qiong Li,John Suckling,Lei Feng,An Pan,Yan‐Jiang Wang,Bo Song,Shan‐Liang Zhu,De‐Hu Li,Hui‐Fu Wang,Chen‐Chen Tan,Qiang Dong,Lan Tan,Vincent Mok,Paul Aisen,Michael M. Weiner
标识
DOI:10.1016/j.jalz.2019.05.006
摘要
Abstract Introduction We aimed to estimate the frequency of each AT(N) (β‐amyloid deposition [A], pathologic tau [T], and neurodegeneration [N]) profile in different clinical diagnosis groups and to describe the longitudinal change in clinical outcomes of individuals in each group. Methods Longitudinal change in clinical outcomes and conversion risk of AT(N) profiles are assessed using linear mixed‐effects models and multivariate Cox proportional‐hazard models, respectively. Results Participants with A+T+N+ showed faster clinical progression than those with A−T−N− and A+T±N−. Compared with A−T−N−, participants with A+T+N± had an increased risk of conversion from cognitively normal (CN) to incident prodromal stage of Alzheimer's disease (AD), and from MCI to AD dementia. A+T+N+ showed an increased conversion risk when compared with A+T±N−. Discussion The 2018 research framework may provide prognostic information of clinical change and progression. It may also be useful for targeted recruitment of participants with AD into clinical trials.
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