Predicting time to dementia using a quantitative template of disease progression
Predicting time to dementia using a quantitative template of disease progression
复制标题
DOI：
10.1016/j.dadm.2019.01.005
复制
发表时间：
2019-12-01
影响因子：
5.3
通讯作者：
Jedynak, Bruno M.
中科院分区：
文献类型：
--
作者：
Bilgel, Murat;Jedynak, Bruno M.
与散发性阿尔茨海默病（AD）有关的生物标志物的纵向轨迹表征方法我们使用多变量贝叶斯模型对1369名阿尔茨海默病神经影像学倡议参与者进行时间比对，基于他们纵向生物标志物测量的相似性，并估计了阿尔茨海默病神经影像学倡议参与者的时间演变的定量模板。脑脊液A β 1-42、p-tau 181 p和t-tau以及海马体积、脑葡萄糖代谢和认知测量。我们计算的生物标志物的轨迹作为一个功能的时间AD痴呆和预测AD痴呆症发病年龄在一个不相交的samples.ResultsQuantitative模板显示早期的变化，文字记忆，脑脊液A β 1-42和p-tau 181 p，海马体积。预测AD痴呆发病年龄的平均误差为
Introduction Characterization of longitudinal trajectories of biomarkers implicated in sporadic Alzheimer's disease (AD) in decades before clinical diagnosis is important for disease prevention and monitoring.Methods We used a multivariate Bayesian model to temporally align 1369 Alzheimer's disease Neuroimaging Initiative participants based on the similarity of their longitudinal biomarker measures and estimated a quantitative template of the temporal evolution of cerebrospinal fluid A beta 1-42, p-tau181p, and t-tau and hippocampal volume, brain glucose metabolism, and cognitive measurements. We computed biomarker trajectories as a function of time to AD dementia and predicted AD dementia onset age in a disjoint sample.ResultsQuantitative template showed early changes in verbal memory, cerebrospinal fluid A beta 1-42 and p-tau181p, and hippocampal volume. Mean error in predicted AD dementia onset age was