Excess brain age in the sleep electroencephalogram predicts reduced life expectancy.
Biomarker
Brain age
EEG
Life expectancy
Mortality
Sleep
Journal
Neurobiology of aging
ISSN: 1558-1497
Titre abrégé: Neurobiol Aging
Pays: United States
ID NLM: 8100437
Informations de publication
Date de publication:
04 2020
04 2020
Historique:
received:
12
09
2019
revised:
09
12
2019
accepted:
14
12
2019
pubmed:
15
1
2020
medline:
24
9
2020
entrez:
15
1
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 31932049
pii: S0197-4580(19)30443-9
doi: 10.1016/j.neurobiolaging.2019.12.015
pmc: PMC7085452
mid: NIHMS1572012
pii:
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
150-155Subventions
Organisme : NINDS NIH HHS
ID : R01 NS102190
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS107291
Pays : United States
Informations de copyright
Copyright © 2019 Elsevier Inc. All rights reserved.
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