Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA.
Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
J Alzheimers Dis. 2024;100(s1):S75-S92. doi: 10.3233/JAD-240543.
Tau accumulation in Alzheimer's disease is associated with short term clinical progression and faster rates of cognitive decline in individuals with high amyloid-β deposition. Defining an optimal threshold of tau accumulation predictive of cognitive decline remains a challenge.
We tested the ability of regional tau PET sensitivity and specificity thresholds to predict longitudinal cognitive decline. We also tested the predictive performance of thresholds in the proposed new NIA-AA biological staging for Alzheimer's disease where multiple levels of tau positivity are used to stage participants.
18F-flortaucipir scans from 301 non-demented participants were processed and sampled. Four cognitive measures were assessed longitudinally. Regional standardized uptake value ratios were split into infra- and suprathreshold groups at baseline using previously derived thresholds. Survival analysis, log rank testing, and Generalized Estimation Equations assessed the relationship between the application of regional sensitivity/specificity thresholds and change in cognitive measures as well as tau threshold performance in predicting cognitive decline within the new NIA-AA biological staging.
The meta temporal region was best for predicting risk of short-term cognitive decline in suprathreshold, as compared to infrathreshold participants. When applying multiple levels of tau positivity, each subsequent level of tau identified cognitive decline at earlier timepoints.
When using 18F-flortaucipir, meta temporal suprathreshold classification was associated with increased risk of cognitive decline, suggesting that abnormal tau deposition in the cortex predicts decline. Likewise, the application of multiple levels of tau clearly predicts the distinctive cognitive trajectories in the new NIA-AA biological staging framework.
阿尔茨海默病患者脑中 tau 蛋白的积累与短期临床进展以及淀粉样蛋白-β 沉积较高个体的认知能力下降速度更快有关。定义 tau 蛋白积累预测认知能力下降的最佳阈值仍然是一个挑战。
我们测试了区域 tau PET 敏感性和特异性阈值预测纵向认知能力下降的能力。我们还测试了在新的 NIA-AA 阿尔茨海默病生物学分期中使用多个 tau 阳性水平对参与者进行分期的情况下,tau 积累阈值的预测性能。
对 301 名非痴呆参与者的 18F-flortaucipir 扫描进行了处理和采样。四项认知指标进行了纵向评估。在基线时,使用以前得出的阈值,将区域标准化摄取值比分为亚阈值和超阈值组。生存分析、对数秩检验和广义估计方程评估了在新的 NIA-AA 生物学分期中,应用区域敏感性/特异性阈值与认知测量变化之间的关系,以及 tau 阈值在预测认知下降方面的表现。
与亚阈值组相比,meta 时间区域在超阈值组中预测短期认知下降风险的表现最佳。当应用多个 tau 阳性水平时,每个后续的 tau 水平都在更早的时间点识别出认知下降。
在使用 18F-flortaucipir 时,meta 时间超阈值分类与认知下降风险增加相关,这表明皮质中的异常 tau 沉积预测下降。同样,多个 tau 水平的应用清楚地预测了新的 NIA-AA 生物学分期框架中的独特认知轨迹。