Excess brain age in the sleep electroencephalogram predicts reduced life expectancy

被引：29

作者：

Paixao, Luis ^{[1
]}

Sikka, Pooja ^{[1
,2
]}

Sun, Haoqi ^{[1
]}

Jain, Aayushee ^{[1
]}

Hogan, Jacob ^{[1
]}

Thomas, Robert ^{[3
]}

Westover, M. Brandon ^{[1
]}

机构：

[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

来源：

NEUROBIOLOGY OF AGING | 2020年 / 88卷

基金：

美国国家卫生研究院;

关键词：

Brain age; Mortality; EEG; Sleep; Life expectancy; Biomarker; MORTALITY;

D O I：

10.1016/j.neurobiolaging.2019.12.015

中图分类号：

R592 [老年病学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 100203 ;

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.

引用

页码：150 / 155

页数：6

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