The author declares that they have no competing interests.
Because patient-ventilator asynchrony (PVA) is recognized as a major clinical problem for patients undergoing ventilatory assistance, automatic methods of PVA detection have been proposed in recent years. A novel approach is airflow spectral analysis, which, when related to visual inspection of airway pressure and flow waveforms, has been shown to reach a sensitivity and specificity of greater than 80% in detecting an asynchrony index of greater than 10%. The availability of automatic non-invasive methods of PVA detection at the bedside would likely be of benefit in intensive care unit practice, but they may be limited by shortcomings, so clear proof of their effectiveness is needed.
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Chen CW, Lin WC, Hsu CH, Cheng KS, Lo CS: Detecting ineffective triggering in the expiratory phase in mechanically ventilated patients based on airway flow and pressure deflection: feasibility of using a computer algorithm. Crit Care Med. 2008, 36: 455-461. 10.1097/01.CCM.0000299734.34469.D9. PubMedCrossRef
Colombo D, Cammarota G, Alemani M, Carenzo L, Barra F, Vaschetto R, Slutsky AS, Della Corte F, Navalesi P: Efficacy of ventilator waveforms observation in detecting patient-ventilator asynchrony. Crit Care Med. 2011
- On the imperfect synchrony between patient and ventilator
- BioMed Central
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