UMRS1158 Neurophysiologie respiratoire expérimentale et clinique, Sorbonne Universités, UPMC Univ Paris 06, INSERM, Paris, France
Groupe Hospitalier Pitié-Salpêtrière, Service de Pneumologie et Réanimation Médicale, Assistance Publique - Hopitaux de Paris, Paris, France.
Thorax. 2019 Jul;74(7):715-717. doi: 10.1136/thoraxjnl-2018-213022. Epub 2019 Apr 26.
Episodes of patient-ventilator asynchrony (PVA) occur during acute and chronic non-invasive positive pressure ventilation (NIV). In long-term NIV, description and quantification of PVA is not standardised, thus limiting assessment of its clinical impact. The present report provides a framework for a systematic analysis of polygraphic recordings of patients under NIV for the detection and classification of PVA validated by bench testing. The algorithm described uses two different time windows: rate asynchrony and intracycle asynchrony. This approach should facilitate further studies on prevalence and clinical impact of PVA in long-term NIV.
在急性和慢性无创正压通气 (NIV) 期间会出现患者-通气机不同步 (PVA) 事件。在长期 NIV 中，PVA 的描述和量化没有标准化，因此限制了对其临床影响的评估。本报告提供了一个系统分析 NIV 下患者多导睡眠图记录以检测和分类 PVA 的框架，该方法通过台架测试进行了验证。所描述的算法使用了两个不同的时间窗口：频率不同步和周期内不同步。这种方法应该有助于进一步研究长期 NIV 中 PVA 的患病率和临床影响。
