埃尔兰根评分预测阿尔茨海默病轻度认知障碍阶段的认知和神经影像学进展。
Erlangen Score Predicts Cognitive and Neuroimaging Progression in Mild Cognitive Impairment Stage of Alzheimer's Disease.
机构信息
Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
出版信息
J Alzheimers Dis. 2019;69(2):551-559. doi: 10.3233/JAD-190067.
BACKGROUND
To alleviate the interpretation of the core Alzheimer's disease (AD) cerebrospinal fluid (CSF) biomarkers, amyloid β1-42 (Aβ42), total tau (T-tau), and phosphorylated tau (P-tau), the Erlangen Score (ES) interpretation algorithm has been proposed.
OBJECTIVE
In this study, we aim to assess the predictive properties of the ES algorithm on cognitive and neuroimaging outcomes in mild cognitive impairment (MCI).
METHODS
All MCI subjects with an available baseline CSF sample from ADNI-1 were included (n = 193), and assigned an ES between 0 and 4 based on their baseline CSF biomarker profile. Structural magnetic resonance imaging brain scans and MMSE and ADAS-Cog scores were collected at up to 7 times in follow-up examinations.
RESULTS
We observed strong and significant correlations between the ES at baseline and neuroimaging and cognitive results with patients with neurochemically probable AD (ES = 4) progressing significantly (p≤0.01) faster than those with a neurochemically improbable AD (ES = 0 or 1), and the subjects with neurochemically possible AD (ES = 2 or 3) in-between these two groups.
CONCLUSION
This study further demonstrates the utility of the ES algorithm as a as a tool in predicting cognitive and imaging progression in MCI patients.
背景
为了减轻对核心阿尔茨海默病（AD）脑脊液（CSF）生物标志物，即β淀粉样蛋白 1-42（Aβ42）、总tau（T-tau）和磷酸化 tau（P-tau）的解读，已提出了 Erlangen 评分（ES）解读算法。
目的
本研究旨在评估 ES 算法对轻度认知障碍（MCI）患者认知和神经影像学结局的预测特性。
方法
从 ADNI-1 中纳入所有具有基线 CSF 样本的 MCI 受试者（n = 193），并根据其基线 CSF 生物标志物谱将 ES 分配在 0 到 4 之间。在随访检查中最多采集 7 次结构磁共振成像脑扫描和 MMSE 和 ADAS-Cog 评分。
结果
我们观察到基线时 ES 与神经影像学和认知结果之间存在很强且显著的相关性，神经化学上可能的 AD（ES=4）患者进展明显（p≤0.01）快于神经化学上不可能的 AD（ES=0 或 1）患者，而神经化学上可能的 AD（ES=2 或 3）患者则介于这两组之间。
结论
本研究进一步证明了 ES 算法作为一种工具在预测 MCI 患者认知和影像学进展方面的效用。
Zotero 插件