摘要
背景:阿尔茨海默病(AD)的早期诊断对治疗和支持规划具有重要意义。同样的,能够预测谁将从轻度认知障碍中转化。NT(MCI)对AD有临床意义。 目的:本研究的目的是从阿尔茨海默病神经成像倡议(ADNI)数据库中找出与从MCI到AD转换相关的特征,并对TH进行表征。e这一转换的时间演变。 方法:我们筛选出可获得的ADI纵向数据库,用于已经开发AD的MCI受试者(病例:n=305),以及MCI仍然稳定的受试者(对照组:n=250)。一分析包括实验室检查(n=12)、定量MRI扫描(n=1 423)、PET研究(n=136)、病史(n=72)和神经心理测试(n=184)。统计长度纵向模型发现病例与对照组纵向行为有显著差异。经过多次比较调整的对数秩检验确定了预测早期转换的显著预测特征。 结果:AD诊断时411例(22.5%)患者与对照组有统计学差异,385例在诊断前至少6个月有统计学差异。清醒症,28例,早期与晚期转换相鉴别,其中20例是通过神经心理学测试获得的。此外,69个特征(3.7%)在广告诊断。 结论:我们的结果描述了从MCI到AD疾病进展的相关特征,此外,log秩检验还确定了与早期c型发病风险相关的特征。conversion变换,转变
关键词: 阿尔茨海默病,轻度认知损害,时间特征,纵向分析,早期转换,ADNI。
Current Alzheimer Research
Title:Identification and Temporal Characterization of Features Associated with the Conversion from Mild Cognitive Impairment to Alzheimer’s Disease
Volume: 15 Issue: 8
关键词: 阿尔茨海默病,轻度认知损害,时间特征,纵向分析,早期转换,ADNI。
摘要: Background: Diagnosing Alzheimer’s disease (AD) in its earliest stages is important for therapeutic and support planning. Similarly, being able to predict who will convert from mild cognitive impairment (MCI) to AD would have clinical implications.
Objectives: The goals of this study were to identify features from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database associated with the conversion from MCI to AD, and to characterize the temporal evolution of that conversion.
Methods: We screened the publically available ADNI longitudinal database for subjects with MCI who have developed AD (cases: n=305), and subjects with MCI who have remained stable (controls: n=250). Analyses included 1,827 features from laboratory assays (n=12), quantitative MRI scans (n=1,423), PET studies (n=136), medical histories (n=72), and neuropsychological tests (n=184). Statistical longitudinal models identified features with significant differences in longitudinal behavior between cases and matched controls. A multiple-comparison adjusted log-rank test identified the capacity of the significant predictive features to predict early conversion.
Results: 411 features (22.5%) were found to be statistically different between cases and controls at the time of AD diagnosis; 385 features were statistically different at least 6 months prior to diagnosis, and 28 features distinguished early from late conversion, 20 of which were obtained from neuropsychological tests. In addition, 69 features (3.7%) had statistically significant changes prior to AD diagnosis.
Conclusion: Our results characterized features associated with disease progression from MCI to AD, and, in addition, the log-rank test identified features which are associated with the risk of early conversion.
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Cite this article as:
Identification and Temporal Characterization of Features Associated with the Conversion from Mild Cognitive Impairment to Alzheimer’s Disease, Current Alzheimer Research 2018; 15 (8) . https://dx.doi.org/10.2174/1567205015666180202095616
DOI https://dx.doi.org/10.2174/1567205015666180202095616 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
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