Practical algorithms for amyloid β probability in subjective or mild cognitive impairment
Practical algorithms for amyloid β probability in subjective or mild cognitive impairment
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DOI：
10.1016/j.dadm.2019.09.001
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发表时间：
2019-12-01
影响因子：
5.3
通讯作者：
Gao, Feng
中科院分区：
文献类型：
--
作者：
Maserejian, Nancy;Bian, Shijia;Gao, Feng
介绍实用的算法预测患者的主观认知能力下降或轻度认知功能障碍的淀粉样蛋白病理的概率可能有助于临床决策的确认生物标志物检测Alzheimer's disease.Methods算法功能选择进行阿尔茨海默氏病神经影像倡议和澳大利亚成像，生物标志物和生活方式的旗舰研究老龄化数据。概率算法是在阿尔茨海默病神经影像学倡议中开发的，使用嵌套交叉验证并伴随分层子抽样，以获得1000个内部验证的决策树。使用澳大利亚成像，生物标志物和生活方式衰老旗舰研究进行了半独立验证。独立的外部验证进行了人口为基础的马约诊所研究Aging.ResultsTwo算法开发使用年龄和标准化立即召回z分数，有或没有载脂蛋白E β 4载体状态。这两种算法具有强大的性能，在数据集和替代不同的回忆记忆tests.Discussion统计框架，导致强大的概率估计。这些算法的应用可以帮助临床决策，用于进一步测试以诊断淀粉样蛋白病理。
Introduction Practical algorithms predicting the probability of amyloid pathology among patients with subjective cognitive decline or mild cognitive impairment may help clinical decisions regarding confirmatory biomarker testing for Alzheimer's disease.Methods Algorithm feature selection was conducted with Alzheimer's Disease Neuroimaging Initiative and Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing data. Probability algorithms were developed in Alzheimer's Disease Neuroimaging Initiative using nested cross-validation accompanied by stratified subsampling to obtain 1000 internally validated decision trees. Semi-independent validation was conducted using Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing. Independent external validation was conducted in the population-based Mayo Clinic Study of Aging.ResultsTwo algorithms were developed using age and normalized immediate recall z-scores, with or without apolipoprotein E epsilon 4 carrier status. Both algorithms had robust performance across data sets and when substituting different recall memory tests.Discussion The statistical framework resulted in robust probability estimation. Application of these algorithms may assist in clinical decision-making for further testing to diagnose amyloid pathology.