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Model Iterative Airway Pressure Reconstruction During Mechanical Ventilation Asynchrony: Shapes and Sizes of Reconstruction

机译:机械通风过程中的模型迭代气道压力重建:重建的形状与尺寸

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摘要

Model-based methods estimating patient-specific respiratory mechanics may help intensive care clinicians in setting optimal ventilation parameters. However, these methods rely heavily on the quality of measured airway pressure and flow profiles for reliable respiratory mechanics estimation. Thus, asynchronous and/or spontaneous breathing cycles that do not follow a typical passive airway profile affect the performance and reliability of model-based methods. In this study, a model iterative airway pressure reconstruction method is presented. It aims to reconstruct a measured airway pressure affected by asynchronous breathing iteratively, trying to match the profile of passive breaths with no asynchrony or spontaneous breathing effort. Thus, reducing the variability of identified respiratory mechanics over short time periods where changes would be due only to asynchrony or spontaneous artefacts. A total of 2000 breathing cycles from mechanically ventilated patients with known asynchronous breathing were analyzed. It was found that this method is capable of reconstructing an airway pressure free from asynchronous or spontaneous breathing effort. This work focuses on several cases, detailing how iterative pressure reconstruction method performs under different cases, as well as its limitation.
机译:基于模型的方法估算患者特异性呼吸力学可能在设定最佳通风参数时可以帮助重症监护临床医生。然而,这些方法严重依赖于测量的气道压力和流动轮廓的质量,以实现可靠的呼吸力学估计。因此,不遵循典型无源气道轮廓的异步和/或自发呼吸循环影响模型的方法的性能和可靠性。在本研究中,提出了一种模型迭代气道压力重建方法。它旨在重建受异步呼吸影响的测量的气道压力,试图与无源呼吸的轮廓与没有异步或自发的呼吸努力相匹配。因此,在短时间内降低了所识别的呼吸力学的可变性,其中发生变化将被视为异步或自发的人工制品。分析了从机械通风患者的2000次呼吸循环,分析了具有已知异步呼吸的患者。发现该方法能够重建不含异步或自发呼吸努力的气道压力。这项工作侧重于几个案例,详细说明迭代压力重建方法如何在不同的情况下执行,以及其限制。

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