Respiration and cardiac activity are strictly interconnected with reciprocal influences. They act as weakly coupled oscillators showing varying degrees of phase synchronization and their interactions are affected by mechanical ventilation. The study aims at differentiating the impact of three ventilatory modes on the cardiorespiratory phase coupling in critically ill patients. The coupling between respiration and heartbeat was studied through cardiorespiratory phase synchronization analysis carried out via synchrogram during pressure control ventilation (PCV), pressure support ventilation (PSV), and neurally adjusted ventilatory assist (NAVA) in critically ill patients. Twenty patients were studied under all the three ventilatory modes. Cardiorespiratory phase synchronization changed significantly across ventilatory modes. The highest synchronization degree was found during PCV session, while the lowest one with NAVA. The percentage of all epochs featuring synchronization regardless of the phase locking ratio was higher with PCV (median: 33.9%, first–third quartile: 21.3–39.3) than PSV (median: 15.7%; first–third quartile: 10.9–27.8) and NAVA (median: 3.7%; first–third quartile: 3.3–19.2). PCV induces a significant amount of cardiorespiratory phase synchronization in critically ill mechanically ventilated patients. Synchronization induced by patient-driven ventilatory modes was weaker, reaching the minimum with NAVA. Findings can be explained as a result of the more regular and powerful solicitation of the cardiorespiratory system induced by PCV. Graphical Abstract: The degree of phase synchronization between cardiac and respiratory activities in mechanically ventilated humans depends on the ventilatory mode

Cardiorespiratory coupling in mechanically ventilated patients studied via synchrogram analysis / D. Ottolina, B. Cairo, T. Fossali, C. Mazzucco, A. Castelli, R. Rech, E. Catena, A. Porta, R. Colombo. - In: MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING. - ISSN 0140-0118. - 61:6(2023 Jun), pp. 1329-1341. [10.1007/s11517-023-02784-4]

Cardiorespiratory coupling in mechanically ventilated patients studied via synchrogram analysis

B. Cairo;A. Porta
Penultimo
;
2023

Abstract

Respiration and cardiac activity are strictly interconnected with reciprocal influences. They act as weakly coupled oscillators showing varying degrees of phase synchronization and their interactions are affected by mechanical ventilation. The study aims at differentiating the impact of three ventilatory modes on the cardiorespiratory phase coupling in critically ill patients. The coupling between respiration and heartbeat was studied through cardiorespiratory phase synchronization analysis carried out via synchrogram during pressure control ventilation (PCV), pressure support ventilation (PSV), and neurally adjusted ventilatory assist (NAVA) in critically ill patients. Twenty patients were studied under all the three ventilatory modes. Cardiorespiratory phase synchronization changed significantly across ventilatory modes. The highest synchronization degree was found during PCV session, while the lowest one with NAVA. The percentage of all epochs featuring synchronization regardless of the phase locking ratio was higher with PCV (median: 33.9%, first–third quartile: 21.3–39.3) than PSV (median: 15.7%; first–third quartile: 10.9–27.8) and NAVA (median: 3.7%; first–third quartile: 3.3–19.2). PCV induces a significant amount of cardiorespiratory phase synchronization in critically ill mechanically ventilated patients. Synchronization induced by patient-driven ventilatory modes was weaker, reaching the minimum with NAVA. Findings can be explained as a result of the more regular and powerful solicitation of the cardiorespiratory system induced by PCV. Graphical Abstract: The degree of phase synchronization between cardiac and respiratory activities in mechanically ventilated humans depends on the ventilatory mode
Cardiorespiratory coupling; Critical care unit; Heart rate variability; Mechanical ventilation; Respiratory sinus arrhythmia, Autonomic nervous system;
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
giu-2023
26-gen-2023
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/970492
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