Department of Clinical and Experimental Medicine, Università del Piemonte Orientale Amedeo Avogadro, Via Solaroli 17, 28100 Novara, Italy.
Crit Care. 2011 Aug 18;15(4):181. doi: 10.1186/cc10300.
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.
由于患者-呼吸机不同步（PVA）被认为是接受通气辅助的患者的一个主要临床问题，因此近年来已经提出了自动检测 PVA 的方法。一种新方法是气流谱分析，当将其与气道压力和流量波形的视觉检查相关联时，已经显示出在检测大于 10%的不同步指数方面具有大于 80%的灵敏度和特异性。在重症监护病房实践中，床边自动无创的 PVA 检测方法的可用性可能会带来益处，但它们可能受到缺点的限制，因此需要明确证明其有效性。
