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人口统计学、临床、遗传和影像学变量对 tau PET 状态的影响。

The impact of demographic, clinical, genetic, and imaging variables on tau PET status.

机构信息

Clinical Memory Research Unit, Lund University, Lund, Sweden.

Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, VU University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

出版信息

Eur J Nucl Med Mol Imaging. 2021 Jul;48(7):2245-2258. doi: 10.1007/s00259-020-05099-w. Epub 2020 Nov 19.

Abstract

PURPOSE

A substantial proportion of amyloid-β (Aβ)+ patients with clinically diagnosed Alzheimer's disease (AD) dementia and mild cognitive impairment (MCI) are tau PET-negative, while some clinically diagnosed non-AD neurodegenerative disorder (non-AD) patients or cognitively unimpaired (CU) subjects are tau PET-positive. We investigated which demographic, clinical, genetic, and imaging variables contributed to tau PET status.

METHODS

We included 2338 participants (430 Aβ+ AD dementia, 381 Aβ+ MCI, 370 non-AD, and 1157 CU) who underwent [F]flortaucipir (n = 1944) or [F]RO948 (n = 719) PET. Tau PET positivity was determined in the entorhinal cortex, temporal meta-ROI, and Braak V-VI regions using previously established cutoffs. We performed bivariate binary logistic regression models with tau PET status (positive/negative) as dependent variable and age, sex, APOEε4, Aβ status (only in CU and non-AD analyses), MMSE, global white matter hyperintensities (WMH), and AD-signature cortical thickness as predictors. Additionally, we performed multivariable binary logistic regression models to account for all other predictors in the same model.

RESULTS

Tau PET positivity in the temporal meta-ROI was 88.6% for AD dementia, 46.5% for MCI, 9.5% for non-AD, and 6.1% for CU. Among Aβ+ participants with AD dementia and MCI, lower age, MMSE score, and AD-signature cortical thickness showed the strongest associations with tau PET positivity. In non-AD and CU participants, presence of Aβ was the strongest predictor of a positive tau PET scan.

CONCLUSION

We identified several demographic, clinical, and neurobiological factors that are important to explain the variance in tau PET retention observed across the AD pathological continuum, non-AD neurodegenerative disorders, and cognitively unimpaired persons.

摘要

目的

大量临床上诊断为阿尔茨海默病(AD)痴呆和轻度认知障碍(MCI)的淀粉样蛋白-β(Aβ)+患者 tau PET 结果为阴性,而一些临床上诊断为非 AD 神经退行性疾病(non-AD)患者或认知正常(CU)个体 tau PET 结果为阳性。我们研究了哪些人口统计学、临床、遗传和影像学变量与 tau PET 状态有关。

方法

我们纳入了 2338 名参与者(430 名 Aβ+AD 痴呆,381 名 Aβ+MCI,370 名 non-AD 和 1157 名 CU),他们接受了 [F]flortaucipir(n=1944)或 [F]RO948(n=719)PET 检查。tau PET 阳性通过以前建立的临界值在内嗅皮质、颞部 meta-ROI 和 Braak V-VI 区域确定。我们使用二元二项逻辑回归模型,以 tau PET 状态(阳性/阴性)为因变量,年龄、性别、APOEε4、Aβ 状态(仅在 CU 和 non-AD 分析中)、MMSE、全脑白质高信号(WMH)和 AD 特征性皮质厚度为预测因子。此外,我们还进行了多变量二元逻辑回归模型,以在同一模型中考虑所有其他预测因子。

结果

AD 痴呆的颞部 meta-ROI 区域 tau PET 阳性率为 88.6%,MCI 为 46.5%,non-AD 为 9.5%,CU 为 6.1%。在 Aβ+AD 痴呆和 MCI 患者中,年龄较小、MMSE 评分和 AD 特征性皮质厚度与 tau PET 阳性的相关性最强。在 non-AD 和 CU 患者中,Aβ 的存在是 tau PET 扫描阳性的最强预测因子。

结论

我们确定了一些人口统计学、临床和神经生物学因素,这些因素对于解释 AD 病理连续体、非 AD 神经退行性疾病和认知正常个体中观察到的 tau PET 保留的差异很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3907/8175318/6c4bdea640dd/259_2020_5099_Fig1_HTML.jpg

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