各种ARDS肺模型中AVM-2与传统通气模式的机械通气能力。台架研究

J. Yeo, Parthav Shah, M. Gozun, C. Franck, Ehab Daoud
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We compared three different ventilator modes: AVM-2, Pressure Regulated Volume Control (PRVC), and Volume Controlled Ventilation (VCV) in six different scenarios: 3 levels of minute ventilation 7, 10.5, and 14 Lit/min (Experiment 1, 2, and 3 respectively), each with 3 different PEEP levels 10, 15, and 20 cmH2O (Experiment A, B, and C respectively) termed 1A, 1B, 1C, 2A, 2B, 2C, 3A, 3B, 3C respectively for a total of 81 experiments. The AVM-2 mode automatically selects the optimal tidal volume and respiratory rate per the dialed percent minute ventilation with an I:E ratio of 1:1. In the PRVC and VCV (constant flow) we selected target tidal volume 6ml/kg/IBW (420 ml) and respiratory rate adjusted to match the minute ventilation for the AVM-2 mode. I:E ratio was kept 1:2. The mechanical power delivered by the ventilator for each mode was computed and compared between the three modes in each experiment. 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Multiple regression analysis indicated that in AVM-2 mode, the driving pressure (P = 0.004), tidal volume (P < 0.001), respiratory rate (P = 0.011) and PEEP (P < 0.001) were significant predictors in the model. In the VCV mode, the respiratory rate (P 0< 0.001) and PEEP (P < 0.001) were significant predictors, but the driving pressure was a non-significant predictor (P = 0.08). In PRVC mode, the respiratory rate (P < 0.001), PEEP (P < 0.001) and driving pressure (P < 0.001) were significant predictors. Conclusion AVM2 mode delivered less mechanical power compared to two conventional modes using low tidal volume in an ARDS lung model with different severities. This might translate to the reduction of the incidence of ventilator induced lung injury. 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引用次数: 2

摘要

引言机械功率与急性呼吸窘迫综合征(ARDS)中呼吸机诱导的肺损伤和死亡率有关。自适应呼吸机模式-2是一种闭环压力控制模式,具有基于吸气功率方程的最佳目标方案,该方案调整呼吸频率和潮气量以实现目标分钟通气。从概念上讲,这种模式应该减少输送给患者的机械功率,从而降低呼吸机引起的肺损伤的发生率。方法采用肺模拟机进行实验研究。我们构建了三种被动单室ARDS模型(轻度、中度、重度),顺应性分别为40、30、20 ml/cmH2O,阻力为10 cmH2O/L/s,IBW 70 kg,和14升/分钟(分别为实验1、2和3),每个具有3个不同的PEEP水平10、15和20厘米H2O(分别为试验A、B和C),分别称为1A、1B、1C、2A、2B、2C、3A、3B和3C,总共81个实验。AVM-2模式自动选择最佳潮气量和呼吸频率,每分钟通气百分比为1:1。在PRVC和VCV(恒定流量)中,我们选择了6ml/kg/IBW(420ml)的目标潮气量,并调整呼吸频率以匹配AVM-2模式的分钟通气量。I: E比例保持为1:2。计算呼吸机为每种模式提供的机械功率,并在每个实验中的三种模式之间进行比较。使用Kruskal-Wallis检验进行统计分析,以分析三种模式之间的差异,使用HOC后Tukey检验分析每种模式间的差异,其中P<0.05被认为具有统计学意义。在每个实验中计算并比较功率顺应性指数。在每种模式下进行多元回归分析,以测试机械功率变量与总计算功率的相关性。结果三种模式在呼吸机输送机械功率方面均有统计学意义(P<0.001)。AVM-2模式提供的机械功率明显小于VCV,而VCV又小于PRVC。与其他常规模式相比,AVM-2模式的功率顺应性指数也显著降低(P<0.01)。多元回归分析表明,在AVM-2模式下,驱动压力(P=0.004)、潮气量(P<0.001)、呼吸频率(P=0.011)和PEEP(P<0.001。在VCV模式中,呼吸频率(P<0.001)和PEEP(P<0.01)是显著的预测因素,但驾驶压力是不显著的预测指标(P=0.08)。结论在不同严重程度的ARDS肺模型中,与两种使用低潮气量的传统模式相比,AVM2模式提供的机械功率较小。这可能会降低呼吸机引起的肺损伤的发生率。结果需要在临床研究中得到验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mechanical power in AVM-2 versus conventional ventilation modes in various ARDS lung models. Bench study
Introduction Mechanical power has been linked to ventilator induced lung injury and mortality in acute respiratory distress syndrome (ARDS). Adaptive Ventilator Mode-2 is a closed-loop pressure-controlled mode with an optimal targeting scheme based on the inspiratory power equation that adjusts the respiratory rate and tidal volume to achieve a target minute ventilation. Conceptually, this mode should reduce the mechanical power delivered to the patients and thus reduce the incidence of ventilator induced lung injury. Methods A bench study using a lung simulator was conducted. We constructed three passive single compartment ARDS models (Mild, Moderate, Severe) with compliance of 40, 30, 20 ml/cmH2O respectively, and resistance of 10 cmH2O/L/s, with IBW 70 kg. We compared three different ventilator modes: AVM-2, Pressure Regulated Volume Control (PRVC), and Volume Controlled Ventilation (VCV) in six different scenarios: 3 levels of minute ventilation 7, 10.5, and 14 Lit/min (Experiment 1, 2, and 3 respectively), each with 3 different PEEP levels 10, 15, and 20 cmH2O (Experiment A, B, and C respectively) termed 1A, 1B, 1C, 2A, 2B, 2C, 3A, 3B, 3C respectively for a total of 81 experiments. The AVM-2 mode automatically selects the optimal tidal volume and respiratory rate per the dialed percent minute ventilation with an I:E ratio of 1:1. In the PRVC and VCV (constant flow) we selected target tidal volume 6ml/kg/IBW (420 ml) and respiratory rate adjusted to match the minute ventilation for the AVM-2 mode. I:E ratio was kept 1:2. The mechanical power delivered by the ventilator for each mode was computed and compared between the three modes in each experiment. Statistical analysis was done using Kruskal-Wallis test to analyze the difference between the three modes, post HOC Tukey test was used to analyze the difference between each mode where P < 0.05 was considered statistically significant. The Power Compliance Index was calculated and compared in each experiment. Multiple regression analysis was performed in each mode to test the correlation of the variables of mechanical power to the total calculated power. Results There were statistically significant differences (P < 0.001) between all the three modes regarding the ventilator delivered mechanical power. AVM-2 mode delivered significantly less mechanical power than VCV which in turn was less than PRVC. The Power Compliance index was also significantly lower (P < 0.01) in the AVM-2 mode compared to the other conventional modes. Multiple regression analysis indicated that in AVM-2 mode, the driving pressure (P = 0.004), tidal volume (P < 0.001), respiratory rate (P = 0.011) and PEEP (P < 0.001) were significant predictors in the model. In the VCV mode, the respiratory rate (P 0< 0.001) and PEEP (P < 0.001) were significant predictors, but the driving pressure was a non-significant predictor (P = 0.08). In PRVC mode, the respiratory rate (P < 0.001), PEEP (P < 0.001) and driving pressure (P < 0.001) were significant predictors. Conclusion AVM2 mode delivered less mechanical power compared to two conventional modes using low tidal volume in an ARDS lung model with different severities. This might translate to the reduction of the incidence of ventilator induced lung injury. Results need to be validated in clinical studies.
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