Frequency and Longitudinal Clinical Outcomes of Alzheimer's AT(N) Biomarker Profiles: A Longitudinal Study

2019年9月1日·
Jin‐Tai Yu
,
Jie‐Qiong Li
,
John Suckling
,
Lei Feng
,
An Pan
,
Yan‐Jiang Wang
,
Bo Song
朱善良
朱善良
,
De‐Hu Li
,
Hui‐Fu Wang
,
Chen‐Chen Tan
,
Qiang Dong
,
Lan Tan
,
Vincent Mok
,
Paul S. Aisen
,
Michael M. Weiner
· 0 分钟阅读时长
摘要
Introduction: We aimed to estimate the frequency of each AT(N) (beta-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. (C) 2019 the Alzheimer’s Association. Published by Elsevier Inc. All rights reserved.
类型
出版物
Alzheimer’s & Dementia
publications
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朱善良
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正教授
博士,教授,硕士生导师,人工智能技术海洋场景化应用山东省工程研究中心副主任,青岛市人工智能海洋技术创新中心副主任,青岛科技大学数学与交叉研究院副院长。山东赛区数学建模竞赛专家组成员、山东省数学会理事、山东省应用统计学会理事、人工智能海洋学专业委员会委员。近年来,主持或参与国家自然科学基金、省自然基金、省教改项目等各类教学科研项目20多项,在国内外期刊发表学术论文80余篇,其中被SCI、EI检索70余篇,参编教材1部。指导学生参加全国大学生数学建模竞赛、中国研究生数学建模竞赛、美国大学生数学建模竞赛等各类竞赛获国家一等奖9项、国家二等奖29项、国家三等奖13项、山东省一等奖37项、山东省二等奖12项、山东省三等奖7项。指导本科生参加国家大学生创新计划项目4项。
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