Excess brain age in the sleep electroencephalogram predicts reduced life expectancy

NEUROBIOLOGY OF AGING

卷:88

Article

Paixao, Luis¹  Sikka, Pooja^1,2  Sun, Haoqi¹  Jain, Aayushee¹  Hogan, Jacob¹  Thomas, Robert³  Westover, M. Brandon¹ 

[1] Massachusetts Gen Hosp, Dept Neurol, 55 Fruit St, Boston, MA 02114 USA

[2] Tufts Univ, Sch Med, Boston, MA 02111 USA

[3] Beth Israel Deaconess Med Ctr, Dept Med, Div Pulm Crit Care & Sleep Med, Boston, MA 02215 USA

关键词: Brain age;    Mortality;    EEG;    Sleep;    Life expectancy;    Biomarker;   

DOI  :  10.1016/j.neurobiolaging.2019.12.015

来源: Elsevier

【 摘 要 】

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 BAL 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. (C) 2019 Elsevier Inc. All rights reserved.

【 授权许可】

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