From the Department of Neurology, Boston University School of Medicine, Boston, MA (G.W., A.S.B., R.A., P.A.W., S.S.); The Framingham Heart Study, Boston, MA (G.W., A.S.B., R.A., P.A.W., S.S.); Department of Biostatistics, Boston University School of Public Health, Boston, MA (A.S.B.); and the Department of Neurology, University of California at Davis, Sacramento, CA (C.D.).
Stroke. 2013 Oct;44(10):2787-94. doi: 10.1161/STROKEAHA.113.000947. Epub 2013 Aug 6.
Exposure to vascular risk factors has a gradual deleterious effect on brain MRI and cognitive measures. We explored whether a pattern of these measures exists that predicts stroke and Alzheimer disease (AD) risk.
A cognitive battery was administered to 1679 dementia and stroke-free Framingham offspring (age, >55 years; mean, 65.7±7.0) between 1999 and 2004; participants were also free of other neurological conditions that could affect cognition and >90% also had brain MRI examination. We related cognitive and MRI measures to risks of incident stroke and AD ≤10 years of follow-up. As a secondary analysis, we explored these associations in The Framingham Heart Study original cohort (mean age, 67.5±7.3 and 84.8±3.3 years at the cognitive assessment and MRI examination, respectively).
A total of 55 Offspring participants sustained strokes and 31 developed AD. Offspring who scored <1.5 SD below predicted mean scores, for age and education, on an executive function test, had a higher risk of future stroke (hazard ratio [HR], 2.27; 95% confidence interval [CI], 1.06-4.85) and AD (HR, 3.60; 95% CI, 1.52-8.52); additional cognitive tests also predicted AD. Participants with low (<20 percentile) total brain volume and high (>20 percentile) white matter hyperintensity volume had a higher risk of stroke (HR, 1.97; 95% CI, 1.03-3.77 and HR, 2.74; 95% CI, 1.51-5.00, respectively) but not AD. Hippocampal volume at the bottom quintile predicted AD in the offspring and original cohorts (HR, 4.41; 95% CI, 2.00-9.72 and HR, 2.37; 95% CI, 1.12-5.00, respectively). A stepwise increase in stroke risk was apparent with increasing numbers of these cognitive and imaging markers.
Specific patterns of cognitive and brain structural measures observed even in early aging predict stroke risk and may serve as biomarkers for risk prediction.
接触血管危险因素对脑 MRI 和认知测量有逐渐的有害影响。我们探讨了这些测量方法是否存在一种模式,可以预测中风和阿尔茨海默病(AD)的风险。
1999 年至 2004 年间,对 1679 名无痴呆和中风的弗雷明汉后代(年龄>55 岁;平均年龄 65.7±7.0 岁)进行了认知测试;参与者也没有其他可能影响认知的神经系统疾病,并且>90%的人还接受了脑部 MRI 检查。我们将认知和 MRI 测量结果与 10 年随访期间发生的中风和 AD 风险相关联。作为二次分析,我们在弗雷明汉心脏研究原始队列(认知评估和 MRI 检查时的平均年龄分别为 67.5±7.3 和 84.8±3.3 岁)中探讨了这些关联。
共有 55 名后代发生中风,31 名发生 AD。执行功能测试得分低于预测平均值的后代(年龄和教育水平的标准差以下),未来发生中风的风险更高(危险比 [HR],2.27;95%置信区间 [CI],1.06-4.85)和 AD(HR,3.60;95% CI,1.52-8.52);其他认知测试也预测 AD。总脑容量低(<20 百分位数)和白质高信号强度体积高(>20 百分位数)的参与者发生中风的风险更高(HR,1.97;95% CI,1.03-3.77 和 HR,2.74;95% CI,1.51-5.00),但 AD 风险无差异。后代和原始队列中,海马体积处于最低五分位数的参与者预测 AD(HR,4.41;95% CI,2.00-9.72 和 HR,2.37;95% CI,1.12-5.00)。随着这些认知和影像学标志物数量的增加,中风风险呈逐步增加趋势。
即使在早期衰老中观察到的特定认知和脑结构测量模式也可以预测中风风险,并可能作为风险预测的生物标志物。