Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Department of Neurology, First Affiliated Hospital of University of Science and Technology of China, Hefei, China.
Aging (Albany NY). 2020 Nov 18;12(23):23727-23738. doi: 10.18632/aging.103927.
Predicting recurrent intracerebral hemorrhage (ICH) related to cerebral amyloid angiopathy (CAA) currently relies on brain images. We aimed to investigate whether blood neurodegenerative biomarkers predict disease severity and ICH recurrence in CAA. We recruited 68 first probable CAA-ICH cases from a Chinese prospective cohort, and 95 controls. We used the single-molecule array to measure acute phase blood amyloid-40, amyloid-42, total tau and neurofilament light chain (NfL). We used multivariable Cox regression models to assess the association between blood biomarkers and CAA-ICH recurrence, and used the concordance (c-) index to assess prediction models. Blood amyloid-42/40, total tau, and NfL levels changed in CAA-ICH cases than controls. During a median follow-up of 2.4 years, NfL was associated with CAA-ICH recurrence (adjusted hazard ratio 2.14, 95% CI 1.57-2.93) independent of MRI burden of small vessel disease (SVD). The performance of a model to predict CAA-ICH recurrence using MRI burden of SVD alone (c-index 0.77) increased with the addition of NfL (c-index 0.88, 95% CI 0.73-1.00, p=0.019). Further, NfL was associated with baseline ICH volume, NIHSS and 6-month mRS score. Blood NfL is associated with severity and prognosis of CAA-ICH and is a promising addition to MRI burden of SVD to predict CAA-ICH recurrence.
目前,预测与脑淀粉样血管病(CAA)相关的复发性颅内出血(ICH)依赖于脑部影像。我们旨在研究血液神经退行性生物标志物是否可预测 CAA 患者的疾病严重程度和 ICH 复发。我们从中国的一项前瞻性队列中招募了 68 例首次确诊的可能 CAA-ICH 病例和 95 例对照。我们使用单分子阵列来测量急性期血液中的淀粉样蛋白-40、淀粉样蛋白-42、总tau 和神经丝轻链(NfL)。我们使用多变量 Cox 回归模型来评估血液生物标志物与 CAA-ICH 复发之间的关联,并使用一致性(c-)指数来评估预测模型。CAA-ICH 患者的血液淀粉样蛋白-42/40、总 tau 和 NfL 水平与对照组相比发生了变化。在中位数为 2.4 年的随访期间,NfL 与 CAA-ICH 复发相关(调整后的危险比 2.14,95%CI 1.57-2.93),独立于小血管疾病(SVD)的 MRI 负担。单独使用 SVD 的 MRI 负担来预测 CAA-ICH 复发的模型(c-指数 0.77)的性能随着 NfL 的加入而提高(c-指数 0.88,95%CI 0.73-1.00,p=0.019)。此外,NfL 与基线 ICH 体积、NIHSS 和 6 个月 mRS 评分相关。血液 NfL 与 CAA-ICH 的严重程度和预后相关,是 SVD 的 MRI 负担预测 CAA-ICH 复发的有希望的补充。