Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, London, UK.
Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands.
Alzheimers Dement. 2024 May;20(5):3429-3441. doi: 10.1002/alz.13761. Epub 2024 Apr 4.
To support clinical trial designs focused on early interventions, our study determined reliable early amyloid-β (Aβ) accumulation based on Centiloids (CL) in pre-dementia populations.
A total of 1032 participants from the Amyloid Imaging to Prevent Alzheimer's Disease-Prognostic and Natural History Study (AMYPAD-PNHS) and Insight46 who underwent [F]flutemetamol, [F]florbetaben or [F]florbetapir amyloid-PET were included. A normative strategy was used to define reliable accumulation by estimating the 95 percentile of longitudinal measurements in sub-populations (N = 101/750, N = 35/382) expected to remain stable over time. The baseline CL threshold that optimally predicts future accumulation was investigated using precision-recall analyses. Accumulation rates were examined using linear mixed-effect models.
Reliable accumulation in the PNHS was estimated to occur at >3.0 CL/year. Baseline CL of 16 [12,19] best predicted future Aβ-accumulators. Rates of amyloid accumulation were tracer-independent, lower for APOE ε4 non-carriers, and for subjects with higher levels of education.
Our results support a 12-20 CL window for inclusion into early secondary prevention studies. Reliable accumulation definition warrants further investigations.
为了支持专注于早期干预的临床试验设计,我们的研究基于 Centiloids(CL)在痴呆前人群中确定了可靠的早期淀粉样蛋白-β(Aβ)积累。
共有 1032 名来自淀粉样蛋白成像预防阿尔茨海默病-预后和自然史研究(AMYPAD-PNHS)和 Insight46 的参与者接受了 [F]flutemetamol、[F]florbetaben 或 [F]florbetapir 淀粉样蛋白-PET。使用规范策略通过估计预期随时间保持稳定的亚人群(N = 101/750,N = 35/382)的纵向测量的 95 百分位数来定义可靠的积累。使用精度-召回分析研究了最佳预测未来积累的基线 CL 阈值。使用线性混合效应模型检查了积累率。
PNHS 中的可靠积累估计为 >3.0 CL/年。16 [12,19]的基线 CL 最佳预测了未来的 Aβ 积累者。淀粉样蛋白积累的速度与示踪剂无关,APOE ε4 非携带者和受教育程度较高的受试者的积累速度较低。
我们的结果支持将 12-20 CL 窗口纳入早期二级预防研究。可靠积累的定义需要进一步研究。