TY - JOUR
T1 - A novel electroencephalogram-derived measure of disrupted delta wave activity during sleep predicts all-cause mortality risk
AU - Lechat, Bastien
AU - Hansen, Kristy L.
AU - Melaku, Yohannes Adama
AU - Vakulin, Andrew
AU - Micic, Gorica
AU - Adams, Robert J.
AU - Appleton, Sarah
AU - Eckert, Danny J.
AU - Catcheside, Peter
AU - Zajamsek, Branko
N1 - Funding Information:
Supported in part by the National Health and Medical Research Council (project 1113571) and the Australian Research Council (project DE120102185).
Funding Information:
Acknowledgment: The authors thank the National Sleep Research Resources, funded by the National Heart, Lung, and Blood Institute (R24 HL114473), for the prior work and open-data resources made available. The Sleep Heart Health Study was supported by multiple grants from the National Institutes of Health (U01HL53916, U01HL53931, U01HL53934, U01HL53937, U01HL53938, U01HL53940, U01HL53941, and U01HL64360).
PY - 2022/4
Y1 - 2022/4
N2 - Rationale: Conventional markers of sleep disturbance, based on manual electroencephalography scoring, may not adequately capture important features of more fundamental electroencephalography-related sleep disturbance. Objectives: This study aimed to determine if more comprehensive power-spectral measures of delta wave activity during sleep are stronger independent predictors of mortality than conventional sleep quality and disturbance metrics. Methods: Power spectral analysis of the delta frequency band and spectral entropy-based markers to quantify disruption of electroencephalography delta power during sleep were performed to examine potential associations with mortality risk in the Sleep Heart Health Study cohort (N = 5,804). Adjusted Cox proportional hazard models were used to determine the association between disrupted delta wave activity at baseline and all-cause mortality over an approximately 11-year follow-up period. Results: Disrupted delta electroencephalography power during sleep was associated with a 32% increased risk of all-cause mortality compared with no fragmentation (hazard ratio, 1.32 [95% confidence interval, 1.14-1.50]), after adjusting for total sleep time and other clinical and lifestyle-related covariates, including sleep apnea. The association was of similar magnitude to a reduction in total sleep time from 6.5 hours to 4.25 hours. Conventional measures of sleep quality, including wake after sleep onset and arousal index, were not predictive of all-cause mortality. Conclusions: Delta wave activity disruption during sleep is strongly associated with all-cause mortality risk, independent of traditional potential confounders. Future investigation into the potential role of delta sleep disruption on other specific adverse health consequences such as cardiometabolic, mental health, and safety outcomes has considerable potential to provide unique neurophysiological insight.
AB - Rationale: Conventional markers of sleep disturbance, based on manual electroencephalography scoring, may not adequately capture important features of more fundamental electroencephalography-related sleep disturbance. Objectives: This study aimed to determine if more comprehensive power-spectral measures of delta wave activity during sleep are stronger independent predictors of mortality than conventional sleep quality and disturbance metrics. Methods: Power spectral analysis of the delta frequency band and spectral entropy-based markers to quantify disruption of electroencephalography delta power during sleep were performed to examine potential associations with mortality risk in the Sleep Heart Health Study cohort (N = 5,804). Adjusted Cox proportional hazard models were used to determine the association between disrupted delta wave activity at baseline and all-cause mortality over an approximately 11-year follow-up period. Results: Disrupted delta electroencephalography power during sleep was associated with a 32% increased risk of all-cause mortality compared with no fragmentation (hazard ratio, 1.32 [95% confidence interval, 1.14-1.50]), after adjusting for total sleep time and other clinical and lifestyle-related covariates, including sleep apnea. The association was of similar magnitude to a reduction in total sleep time from 6.5 hours to 4.25 hours. Conventional measures of sleep quality, including wake after sleep onset and arousal index, were not predictive of all-cause mortality. Conclusions: Delta wave activity disruption during sleep is strongly associated with all-cause mortality risk, independent of traditional potential confounders. Future investigation into the potential role of delta sleep disruption on other specific adverse health consequences such as cardiometabolic, mental health, and safety outcomes has considerable potential to provide unique neurophysiological insight.
KW - Sleep Heart Health Study
KW - digital signal processing
KW - sleep deprivation
KW - sleep-disordered breathing
KW - slow wave sleep
UR - http://www.scopus.com/inward/record.url?scp=85125645701&partnerID=8YFLogxK
U2 - 10.1513/AnnalsATS.202103-315OC
DO - 10.1513/AnnalsATS.202103-315OC
M3 - Article
C2 - 34672877
AN - SCOPUS:85125645701
VL - 19
SP - 649
EP - 658
JO - Annals of the American Thoracic Society
JF - Annals of the American Thoracic Society
SN - 2325-6621
IS - 4
ER -