From the Departments of Neurology (J.G.-R., A.A.R., R.D.B., M.M.M., D.S.K., R.C.P.), Health Sciences Research (T.L., J.G., J.A., S.A.P., M.M.M., W.K.), and Radiology (A.J.S., J.H., V.J.L., C.R.J., P.V., K.K.), Mayo Clinic, Rochester, MN.
Neurology. 2020 Jan 14;94(2):e190-e199. doi: 10.1212/WNL.0000000000008735. Epub 2019 Dec 4.
To determine the incidence of cerebral microbleeds (CMBs) and the association of amyloid PET burden with incident CMBs.
A total of 651 participants, age ≥50 years (55% male), underwent 3T MRI scans with ≥2 separate T2*-weighted gradient recalled echo sequences from October 2011 to August 2017. Eighty-seven percent underwent C Pittsburgh compound B (PiB) PET scans. Age-specific CMB incidence rates were calculated by using the piecewise exponential model. Using structural equation models (SEMs), we assessed the effect of amyloid load and baseline CMBs on future CMBs after considering the direct and indirect age, sex, vascular risk factors, and effects.
Participants' mean age (SD) was 69.8 (10.0) years at baseline MRI, and 111 participants (17%) had ≥1 baseline CMB. The mean (SD) of the time interval between scans was 2.7 (1.0) years. The overall population incidence rate for CMBs was 3.6/100 person-years and increased with age: from 1.5/100 new CMBs at age 50 to 11.6/100 person-years at age 90. Using the piecewise exponential model regression, the incidence rates increased with age and the presence of baseline CMBs. The SEMs showed that (1) increasing age at MRI or carrying an 4 allele was associated with more amyloid at baseline, and higher amyloid, particularly occipital amyloid load, in turn increased the risk of a new lobar CMB; and (2) the presence of CMBs at baseline increased the risk of a lobar CMB and had a larger effect size than amyloid load.
Age and 4 carrier status act through amyloid load to increase the risk of subsequent lobar CMBs, but the presence of baseline CMBs is the most important risk factor for future CMBs.
确定脑微出血(CMBs)的发生率以及淀粉样蛋白 PET 负荷与新发 CMBs 的关系。
共有 651 名年龄≥50 岁(55%为男性)的参与者接受了 3T MRI 扫描,其中≥2 次使用 2 个独立的 T2*-加权梯度回波序列,扫描时间从 2011 年 10 月至 2017 年 8 月。87%的参与者接受了 C-Pittsburgh 复合 B(PiB)PET 扫描。使用分段指数模型计算特定年龄的 CMB 发生率。使用结构方程模型(SEMs),我们评估了淀粉样蛋白负荷和基线 CMBs 对未来 CMBs 的影响,同时考虑了直接和间接的年龄、性别、血管危险因素和效应。
参与者在基线 MRI 时的平均年龄(SD)为 69.8(10.0)岁,111 名参与者(17%)有≥1 个基线 CMB。扫描间隔的平均(SD)时间为 2.7(1.0)年。总体人群的 CMB 发生率为 3.6/100 人年,且随年龄增加而增加:从 50 岁时的 1.5/100 个新 CMB 增加到 90 岁时的 11.6/100 人年。使用分段指数模型回归,发病率随年龄和基线 CMBs 的存在而增加。SEMs 显示:(1)MRI 时年龄增加或携带 4 等位基因与基线时更多的淀粉样蛋白相关,更高的淀粉样蛋白,特别是枕叶淀粉样蛋白负荷,反过来增加了新的脑叶 CMB 的风险;(2)基线 CMBs 的存在增加了脑叶 CMB 的风险,且其效应大小大于淀粉样蛋白负荷。
年龄和 4 载脂蛋白状态通过淀粉样蛋白负荷增加了随后发生脑叶 CMB 的风险,但基线 CMBs 的存在是未来发生 CMBs 的最重要的危险因素。