Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA.
Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA.
Alzheimers Dement. 2019 Apr;15(4):506-514. doi: 10.1016/j.jalz.2018.12.008. Epub 2019 Feb 15.
Staging preclinical Alzheimer disease (AD) by the expected years to symptom onset (EYO) in autosomal dominant AD (ADAD) through biomarker correlations is important.
We estimated the correlation matrix between EYO/cognition and imaging/CSF biomarkers, and searched for the EYO cutoff where a change in the correlations occurred before and after the cutoff among the asymptomatic mutation carriers of ADAD. We then estimated the longitudinal rate of change for biomarkers/cognition within each preclinical stage defined by the EYO.
Based on the change in the correlations, the preclinical ADAD was divided by EYOs -7 and -13 years. Mutation carriers demonstrated a temporal ordering of biomarker/cognition changes across the three preclinical stages.
Duration of each preclinical stage can be estimated in ADAD, facilitating better planning of prevention trials with the EYO cutoffs under the recently released FDA guidance. The generalization of these results to sporadic AD warrants further investigation.
通过生物标志物相关性,对常染色体显性遗传阿尔茨海默病(ADAD)患者进行预期发病年龄(EYO)分期有助于对临床前 AD 进行分期。
我们估计了 EYO/认知与影像学/CSF 生物标志物之间的相关矩阵,并在 ADAD 无症状突变携带者中寻找 EYO 截止值,该截止值在截止值前后发生相关性变化。然后,我们根据 EYO 定义的每个临床前阶段估算了生物标志物/认知的纵向变化率。
基于相关性的变化,将 EYO-7 年和 EYO-13 年前的 ADAD 划分为临床前阶段。突变携带者在三个临床前阶段中表现出生物标志物/认知变化的时间顺序。
在 ADAD 中可以估计每个临床前阶段的持续时间,这有助于根据最近发布的 FDA 指南,通过 EYO 截止值更好地规划预防试验。这些结果在散发性 AD 中的推广需要进一步研究。