Brink-Kjaer Andreas, Leary Eileen B, Sun Haoqi, Westover M Brandon, Stone Katie L, Peppard Paul E, Lane Nancy E, Cawthon Peggy M, Redline Susan, Jennum Poul, Sorensen Helge B D, Mignot Emmanuel
Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.
Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Rigshospitalet, Denmark.
NPJ Digit Med. 2022 Jul 22;5(1):103. doi: 10.1038/s41746-022-00630-9.
Sleep disturbances increase with age and are predictors of mortality. Here, we present deep neural networks that estimate age and mortality risk through polysomnograms (PSGs). Aging was modeled using 2500 PSGs and tested in 10,699 PSGs from men and women in seven different cohorts aged between 20 and 90. Ages were estimated with a mean absolute error of 5.8 ± 1.6 years, while basic sleep scoring measures had an error of 14.9 ± 6.29 years. After controlling for demographics, sleep, and health covariates, each 10-year increment in age estimate error (AEE) was associated with increased all-cause mortality rate of 29% (95% confidence interval: 20-39%). An increase from -10 to +10 years in AEE translates to an estimated decreased life expectancy of 8.7 years (95% confidence interval: 6.1-11.4 years). Greater AEE was mostly reflected in increased sleep fragmentation, suggesting this is an important biomarker of future health independent of sleep apnea.
睡眠障碍随年龄增长而增加，且是死亡率的预测指标。在此，我们展示了通过多导睡眠图（PSG）来估计年龄和死亡风险的深度神经网络。使用2500份PSG对衰老进行建模，并在来自7个不同队列、年龄在20至90岁之间的10699名男性和女性的PSG中进行测试。年龄估计的平均绝对误差为5.8±1.6岁，而基本睡眠评分指标的误差为14.9±6.29岁。在控制了人口统计学、睡眠和健康协变量后，年龄估计误差（AEE）每增加10岁，全因死亡率就会增加29%（95%置信区间：20%-39%）。AEE从-10岁增加到+10岁意味着预期寿命估计减少8.7岁（95%置信区间：6.1-11.4岁）。更大的AEE主要反映在睡眠碎片化增加上，这表明这是一个独立于睡眠呼吸暂停的未来健康的重要生物标志物。
