ArticleSleep & breathing = Schlaf & Atmung2022
Breathing irregularities before sleep onset on polysomnography in patients with heart diseases.
Article in Sleep & breathing = Schlaf & Atmung, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Respiratory Variability in Disorders of Consciousness: Relationship and Clinical Applications.CNS neuroscience & therapeutics · 2026Article
- Temporal variations in the pattern of breathing: techniques, sources, and applications to translational sciences.The journal of physiological sciences : JPS · 2022Review
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeSevere cardiac dysfunction can manifest with diurnal breathing irregularity. However, it remains to be clarified whether or not diurnal breathing irregularity is observed in patients with heart diseases, including relatively mild chronic heart failure (CHF), compared to those without heart diseases.
methodsIn this cross-sectional study, consecutive inpatients who were admitted for evaluation of sleep-disordered breathing were enrolled. We extracted 3.5 min of stable respiratory signals before sleep onset using polysomnography, analyzed the airflow data using fast Fourier transform, and quantified breathing irregularities using Shannon entropy S.
resultsA total of 162 subjects were evaluated. Among these, 39 subjects had heart diseases, including ischemic heart disease (IHD), atrial fibrillation (Af), CHF, and a history of aortic dissection. The values of Shannon entropy S of airflow signals in subjects with heart diseases were significantly higher than in those without heart diseases (p < 0.001). After excluding CHF, the Shannon entropy S was also significantly higher in subjects with heart diseases than in those without heart diseases (p < 0.001). The values of Shannon entropy S were significantly correlated with plasma brain natriuretic peptide levels (r = 0.443, p < 0.001). Although the values were also significantly correlated with body mass index, the presence of heart diseases was independently associated with breathing irregularity in the multiple logistic analysis. Matching analysis revealed consistent differences between subjects with heart diseases and without heart diseases.
conclusionBreathing irregularity was observed before sleep onset in subjects with heart diseases who underwent polysomnography to diagnose sleep-disordered breathing.
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