ArticleBMC physiology2011
Study of multiparameter respiratory pattern complexity in surgical critically ill patients during weaning trials.
Article in BMC physiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 32 citations in OpenAlex.
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- Roadmap for the evolution of monitoring: developing and evaluating waveform-based variability-derived artificial intelligence-powered predictive clinical decision support software tools.Critical care (London, England) · 2024Review
- Breathing rate variability in obstructive sleep apnea during wakefulness.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022Article
- Pulse respiration quotient as a measure sensitive to changes in dynamic behavior of cardiorespiratory coupling such as body posture and breathing regime.Frontiers in physiology · 2022Article
- Biosignal-Based Digital Biomarkers for Prediction of Ventilator Weaning Success.International journal of environmental research and public health · 2021Article
- Automated Classification of Whole Body Plethysmography Waveforms to Quantify Breathing Patterns.Frontiers in physiology · 2021Article
- Development and validation of a sample entropy-based method to identify complex patient-ventilator interactions during mechanical ventilation.Scientific reports · 2020Article
- Slow 0.1 Hz Breathing and Body Posture Induced Perturbations of RRI and Respiratory Signal Complexity and Cardiorespiratory Coupling.Frontiers in physiology · 2020Article
- Ventilatory pattern variability as a biometric for severity of acute lung injury in rats.Respiratory physiology & neurobiology · 2019Article
- Sample Entropy in Electrocardiogram During Atrial Fibrillation.Yonago acta medica · 2018Article
- Kölliker-Fuse nuclei regulate respiratory rhythm variability via a gain-control mechanism.American journal of physiology. Regulatory, integrative and comparative physiology · 2017Article
- Automated analysis of respiratory behavior in extremely preterm infants and extubation readiness.Pediatric pulmonology · 2015Article
- Fluctuation analysis of respiratory impedance waveform in asthmatic patients: effect of airway obstruction.Medical & biological engineering & computing · 2012Article
- Variability analysis and the diagnosis, management, and treatment of sepsis.Current infectious disease reports · 2012Article
- Vagal-dependent nonlinear variability in the respiratory pattern of anesthetized, spontaneously breathing rats.Journal of applied physiology (Bethesda, Md. : 1985) · 2011Article
- Recurrence Plots: a New Tool for Quantification of Cardiac Autonomic Nervous System Recovery after Transplant.Brazilian journal of cardiovascular surgeryArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSeparation from mechanical ventilation is a difficult task, whereas conventional predictive indices have not been proven accurate enough, so far. A few studies have explored changes of breathing pattern variability for weaning outcome prediction, with conflicting results. In this study, we tried to assess respiratory complexity during weaning trials, using different non-linear methods derived from theory of complex systems, in a cohort of surgical critically ill patients.
resultsThirty two patients were enrolled in the study. There were 22 who passed and 10 who failed a weaning trial. Tidal volume and mean inspiratory flow were analyzed for 10 minutes during two phases: 1. pressure support (PS) ventilation (15-20 cm H2O) and 2. weaning trials with PS: 5 cm H2O. Sample entropy (SampEn), detrended fluctuation analysis (DFA) exponent, fractal dimension (FD) and largest lyapunov exponents (LLE) of the two respiratory parameters were computed in all patients and during the two phases of PS. Weaning failure patients exhibited significantly decreased respiratory pattern complexity, reflected in reduced sample entropy and lyapunov exponents and increased DFA exponents of respiratory flow time series, compared to weaning success subjects (p < 0.001). In addition, their changes were opposite between the two phases of the weaning trials. A new model including rapid shallow breathing index (RSBI), its product with airway occlusion pressure at 0.1 sec (P0.1), SampEn and LLE predicted better weaning outcome compared with RSBI, P0.1 and RSBI* P0.1 (conventional model, R(2) = 0.874 vs 0.643, p < 0.001). Areas under the curve were 0.916 vs 0.831, respectively (p < 0.05).
conclusionsWe suggest that complexity analysis of respiratory signals can assess inherent breathing pattern dynamics and has increased prognostic impact upon weaning outcome in surgical patients.
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