STUDY OBJECTIVES
To test whether an interpretable effort-derived Breathing Stability Index (BSI) captures physiology and clinical risk beyond conventional sleep-disordered breathing metrics.
METHODS
We analyzed 43,611 overnight polysomnography records from two clinical cohorts and one community cohort. BSI was derived from abdominal and thoracic effort envelopes as a continuous measure of respiratory effort instability. We compared BSI with AHI, hypoxic burden, arousal index, periodic breathing/self-similarity, desaturation frequency, sleep stage, and event phenotype; evaluated cognition and nine matched cross-sectional EHR disease labels; and tested mortality in Cox models.
RESULTS
BSI increased across AHI severity and tracked comparator metrics while remaining partly nonredundant. In mutually adjusted models, BSI remained associated with periodic breathing, AHI, arousal index, and desaturation index. Within AHI strata, instability was lowest in deeper NREM sleep and higher in lighter sleep and REM sleep. Cognitive associations were cohort dependent and strongest in MrOS, where less stable breathing was associated with worse fluid and total cognition after age/sex adjustment. In matched EHR disease analyses, BSI features provided modest discrimination (AUROC 0.509-0.642) and age/sex-adjusted associations for 8 of 9 labels. BSI was associated with all-cause mortality after adjustment for age, sex, and comparator sleep metrics in Massachusetts General Hospital (HR 1.38 per SD, 95% CI 1.23-1.54) and Beth Israel Deaconess Medical Center (HR 1.10, 95% CI 1.02-1.19), but not MrOS.
CONCLUSIONS
Nocturnal breathing stability captures dynamic sleep-disordered breathing physiology that complements event counts and desaturation metrics and relates to cognition, cross-sectional disease labels, and cohort-dependent survival risk.
W. Ganglberger, Haoqi Sun, Thomas M. Quinn et al.· Sleep· 0 citations
Sleep electroencephalography (EEG) is linked with cognitive function and dementia risk. Integrated EEG-derived scores, such as the Brain Health Score (BHS), trained to jointly reflect cognitive function and disease risk, and the Brain Age Index (BAI), which estimates brain aging, also correlate with neuropsychological (NP) performance. Yet, it remains unclear whether these sleep scores are associated with the rate of future cognitive decline.
This study included 639 Framingham Heart Study Generation 2 and Omni 1 participants with sleep EEG in mid-to-late life and ≥2 NP tests over an average of 14.3 years. Linear mixed effects models estimated associations between BHS and annual changes in memory, executive function, or language. We also evaluated associations between BAI and cognitive decline among 509 Generation 2 participants with BAI values.
Participants were on average 58.4 years at sleep assessment, 54% female, and 86% non-Hispanic White. Each 1-SD higher BHS was associated with 0.015 SD/year slower memory decline (95% CI: 0.009-0.021), 0.009 SD/year slower executive function decline (95% CI: 0.005-0.014), and 0.011 SD/year slower language decline (95% CI: 0.005-0.017). In contrast, BAI was not associated with changes in any cognitive domain.
Higher sleep EEG–derived brain health in mid-to-late life was associated with slower decline in multiple cognitive domains over more than a decade of follow-up, whereas an EEG-based measure of brain aging was not. These findings suggest that sleep EEG-derived, data-driven brain health metrics may have value as novel biomarkers for risk of cognitive decline.
Francesca R Marino, W. Ganglberger, Haoqi Sun et al.· SLEEP Advances· 0 citations
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