Predicting conversion to Alzheimer's disease among individual high-risk patients using the Characterizing AD Risk Events index model.,CNS Neuroscience & Therapeutics

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Predicting conversion to Alzheimer's disease among individual high-risk patients using the Characterizing AD Risk Events index model.
CNS Neuroscience & Therapeutics ( IF 5.5 ) Pub Date : 2020-04-03 , DOI: 10.1111/cns.13371
Xiang Lu ₁ , Jiu Chen _{1,

2} , Hao Shu ₁ , Zan Wang ₁ , Yong-Mei Shi ₁ , Yong-Gui Yuan ₃ , Chun-Ming Xie ₁ , Wen-Xiang Liao ₁ , Fan Su ₁ , Ya-Chen Shi ₁ , Zhi-Jun Zhang _{1,

4}

Affiliation

Both amnestic mild cognitive impairment (aMCI) and remitted late‐onset depression (rLOD) confer a high risk of developing Alzheimer's disease (AD). This study aims to determine whether the Characterizing AD Risk Events (CARE) index model can effectively predict conversion in individuals at high risk for AD development either in an independent aMCI population or in an rLOD population.

中文翻译：

使用表征 AD 风险事件指数模型预测个体高危患者向阿尔茨海默病的转化。

遗忘型轻度认知障碍 (aMCI) 和缓解型迟发性抑郁症 (rLOD) 都具有患阿尔茨海默病 (AD) 的高风险。本研究旨在确定表征 AD 风险事件 (CARE) 指数模型是否可以有效预测独立 aMCI 人群或 rLOD 人群中 AD 发展高风险个体的转化。

更新日期：2020-04-03

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