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NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease.NIA-AA 研究框架:迈向阿尔茨海默病的生物学定义。
Alzheimers Dement. 2018 Apr;14(4):535-562. doi: 10.1016/j.jalz.2018.02.018.
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Association Between Elevated Brain Amyloid and Subsequent Cognitive Decline Among Cognitively Normal Persons.认知正常人群中脑淀粉样蛋白升高与随后认知衰退之间的关联。
JAMA. 2017 Jun 13;317(22):2305-2316. doi: 10.1001/jama.2017.6669.
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Outcomes after diagnosis of mild cognitive impairment in a large autopsy series.一项大型尸检系列研究中轻度认知障碍诊断后的转归情况。
Ann Neurol. 2017 Apr;81(4):549-559. doi: 10.1002/ana.24903. Epub 2017 Mar 22.
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Clinical Amyloid Imaging.临床淀粉样蛋白成像
Semin Nucl Med. 2017 Jan;47(1):31-43. doi: 10.1053/j.semnuclmed.2016.09.005. Epub 2016 Nov 24.
5
A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers.A/T/N:阿尔茨海默病生物标志物的无偏描述性分类方案。
Neurology. 2016 Aug 2;87(5):539-47. doi: 10.1212/WNL.0000000000002923. Epub 2016 Jul 1.
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Hypothetical Preclinical Alzheimer Disease Groups and Longitudinal Cognitive Change.假设的临床前阿尔茨海默病组与纵向认知变化。
JAMA Neurol. 2016 Jun 1;73(6):698-705. doi: 10.1001/jamaneurol.2016.0194.
7
Prevalence of cerebral amyloid pathology in persons without dementia: a meta-analysis.无痴呆症人群中脑淀粉样病变的患病率:一项荟萃分析。
JAMA. 2015 May 19;313(19):1924-38. doi: 10.1001/jama.2015.4668.
8
The relevance of beta-amyloid on markers of Alzheimer's disease in clinically normal individuals and factors that influence these associations.β-淀粉样蛋白在临床正常个体中与阿尔茨海默病标志物的相关性以及影响这些关联的因素。
Neuropsychol Rev. 2014 Sep;24(3):300-12. doi: 10.1007/s11065-014-9267-4. Epub 2014 Aug 10.
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Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria.推进阿尔茨海默病研究诊断标准:IWG-2 标准。
Lancet Neurol. 2014 Jun;13(6):614-29. doi: 10.1016/S1474-4422(14)70090-0.
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Preclinical Alzheimer's disease and its outcome: a longitudinal cohort study.临床前阿尔茨海默病及其结局:一项纵向队列研究。
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联合生物标志物预测轻度认知障碍:阿尔茨海默病神经影像学倡议的 11 年随访研究。

Combined Biomarker Prognosis of Mild Cognitive Impairment: An 11-Year Follow-Up Study in the Alzheimer's Disease Neuroimaging Initiative.

机构信息

Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA.

Department of Radiology, University of California, San Diego, La Jolla, CA, USA.

出版信息

J Alzheimers Dis. 2019;68(4):1549-1559. doi: 10.3233/JAD-181243.

DOI:10.3233/JAD-181243
PMID:30958366
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8906222/
Abstract

BACKGROUND

Biomarkers may soon be used to predict decline in older individuals. Extended follow-up studies are needed to determine the stability of such biomarker-based predictions.

OBJECTIVE

To examine the long-term performance of baseline cognitive, neuroimaging, and cerebrospinal fluid (CSF) biomarker-assisted prognosis in patients with mild cognitive impairment.

METHODS

Established, biomarker-defined, cohorts of subjects with mild cognitive impairment were examined for progression to dementia. Subjects with a baseline volumetric MRI, lumbar puncture, and Rey Auditory Verbal Learning Test were included. Dementia-free survival time in each biomarker-defined risk group was determined with Kaplan-Meier survival curves. The influence of each risk factor or combination of factors on dementia-free survival was examined with Cox proportional hazard analyses.

RESULTS

185 subjects were followed longitudinally for a mean (SD) 4.3 (2.8) years. 59% of participants converted within the follow-up period and the median dementia-free survival time was 2.8 years. Each individual risk factor predicted conversion to dementia (HR 1.9-3.7). The joint presence of any two risk factors increased risk for conversion (HR 7.1-11.0), with the presence of medial temporal atrophy and memory impairment showing the greatest risk for decline. Concordant atrophy, memory impairment, and abnormal CSF amyloid and tau was associated with the highest risk for conversion (HR 15.1). The presence of medial temporal atrophy was associated with the shortest dementia-free survival time, both alone and in combination with memory impairment, abnormal CSF amyloid and tau, or both.

CONCLUSION

These results suggest that baseline biomarker-assisted predictions of decline to dementia are stable over the long term, and that combinations of complementary biomarkers can improve the accuracy of these predictions.

摘要

背景

生物标志物可能很快被用于预测老年人的衰退。需要进行扩展的随访研究,以确定此类基于生物标志物的预测的稳定性。

目的

检查轻度认知障碍患者基线认知、神经影像学和脑脊液(CSF)生物标志物辅助预后的长期表现。

方法

对轻度认知障碍患者进行了既定的、基于生物标志物的队列研究,以检查向痴呆的进展。纳入了基线容积 MRI、腰椎穿刺和 Rey 听觉言语学习测试的患者。使用 Kaplan-Meier 生存曲线确定每个生物标志物定义的风险组中无痴呆生存时间。使用 Cox 比例风险分析检查每个危险因素或危险因素组合对无痴呆生存的影响。

结果

185 名患者平均(SD)随访 4.3(2.8)年。59%的参与者在随访期间发生转换,中位数无痴呆生存时间为 2.8 年。每个单独的危险因素都预测向痴呆的转化(HR 1.9-3.7)。任何两个危险因素的共同存在增加了向痴呆转化的风险(HR 7.1-11.0),内侧颞叶萎缩和记忆障碍的存在显示出最大的下降风险。一致的萎缩、记忆障碍以及异常的 CSF 淀粉样蛋白和 tau 与最高的转化风险相关(HR 15.1)。内侧颞叶萎缩的存在与无痴呆生存时间最短相关,无论是单独存在还是与记忆障碍、异常 CSF 淀粉样蛋白和 tau 或两者同时存在。

结论

这些结果表明,基于生物标志物的衰退至痴呆的预测在长期内是稳定的,并且互补生物标志物的组合可以提高这些预测的准确性。