Dynamic instability of breathing during sleep predicts cognition, disease, and mortality

Clicks: 12
ID: 323077
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #21 of 186 articles by views in Sleep & breathing = Schlaf & Atmung

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 186 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
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.
Reference Key
openalex_W7172022765 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wolfgang Ganglberger, Haoqi Sun, Thomas Quinn, M. Brandon Westover, Robert J. Thomas
Journal Sleep & breathing = Schlaf & Atmung
Year 2026
DOI
10.1093/sleep/zsag212
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.