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Published on: October 1, 2019
Cheyne-Stokes respiration detected via CPAP devices as a digital biomarker for heart failure in obstructive sleep
Nashe Marshall Mutombe1, Kanchana Ekanayake1, Chin Moi Chow1
1Faculty of Health and Medicine, University of Sydney, Camperdown, NSW 2006, Australia.
Study Objectives:
To synthesize evidence on the diagnostic, prognostic, surveillance, and monitoring potential of Cheyne-Stokes respiration (CSR) ventilatory patterns, as detected by continuous positive airway pressure (CPAP) devices, in patients with heart failure (HF) or at risk of HF-often with comorbid obstructive sleep apnoea.
Materials And Methods:
This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) statement. Five electronic databases were searched (1946-2025) for studies examining CSR derived from CPAP airflow signals (CPAP-CSR), and heart-failure outcomes. Data synthesis followed Synthesis Without Meta-analysis guidelines across five domains: presence, burden, morphology, temporal dynamics, and aetiology.
Results:
Five studies were included. CPAP-CSR presence was strongly associated with serious cardiac events (adjusted OR 5.74; p < .001) at 12 months. CPAP-CSR burden correlated with [B-type natriuretic peptide (BNP), left ventricular ejection fraction (LVEF), and estimated glomerular filtration rate (eGFR)], HF hospitalisations, and serious cardiac events. Morphological features, specifically longer cycle lengths (˃68.9 s), accurately discriminated HF-related CSR (AUC 0.954). Short-term temporal dynamics were highly prognostic; day-to-day instability (SD-CSB%) predicted acute HF decompensation (AUC 0.919), reflecting an inability to maintain normal function. Aetiological stratification revealed that progressive CPAP-CSR burden and serious cardiac events occurred exclusively in the cardiovascular-related CSR subgroups.
Conclusions:
CPAP-CSR is consistently associated with heart-failure status and its temporal changes, highlighting its potential as a non-invasive biomarker for disease presence and progression.
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