Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Tufts University School of Medicine, Boston, MA, USA.
Neurobiol Aging. 2020 Apr;88:150-155. doi: 10.1016/j.neurobiolaging.2019.12.015. Epub 2019 Dec 23.
The brain age index (BAI) measures the difference between an individual's apparent "brain age" (BA; estimated by comparing EEG features during sleep from an individual with age norms), and their chronological age (CA); that is BAI = BA-CA. Here, we evaluate whether BAI predicts life expectancy. Brain age was quantified using a previously published machine learning algorithm for a cohort of participants ≥40 years old who underwent an overnight sleep electroencephalogram (EEG) as part of the Sleep Heart Health Study (n = 4877). Excess brain age (BAI >0) was associated with reduced life expectancy (adjusted hazard ratio: 1.12, [1.03, 1.21], p = 0.002). Life expectancy decreased by -0.81 [-1.44, -0.24] years per standard-deviation increase in BAI. Our findings show that BAI, a sleep EEG-based biomarker of the deviation of sleep microstructure from patterns normal for age, is an independent predictor of life expectancy.
脑龄指数 (BAI) 衡量个体的表观“脑龄”(BA; 通过将个体的睡眠期间的脑电图特征与年龄标准进行比较来估计)与其实际年龄 (CA) 之间的差异; 即 BAI = BA - CA。在这里，我们评估 BAI 是否可以预测预期寿命。脑龄使用先前发表的机器学习算法进行量化，该算法针对参与睡眠心脏健康研究的≥40 岁的参与者队列进行，这些参与者接受了一整晚的睡眠脑电图 (EEG) (n = 4877)。脑龄超标 (BAI >0) 与预期寿命缩短相关 (调整后的危险比: 1.12，[1.03, 1.21]，p = 0.002)。BAI 每增加一个标准差，预期寿命就会减少 0.81 年[-1.44, -0.24]。我们的研究结果表明，BAI 是一种基于睡眠脑电图的生物标志物，可衡量睡眠微观结构与年龄正常模式的偏差，是预期寿命的独立预测因子。
