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Utility of Driving Pressure and Mechanical Power to Guide Protective Ventilator Settings in Two Cohorts of Adult and Pediatric Patients With Acute Respiratory Distress Syndrome: A Computational Investigation

机译:推动压力和机械动力的效用,以引导两种成人和儿科患者急性呼吸窘迫综合征的群组队列的保护呼吸机环境:计算调查

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Objectives: Mechanical power and driving pressure have been proposed as indicators, and possibly drivers, of ventilator-induced lung injury. We tested the utility of these different measures as targets to derive maximally protective ventilator settings. Design: A high-fidelity computational simulator was matched to individual patient data and used to identify strategies that minimize driving pressure, mechanical power, and a modified mechanical power that removes the direct linear, positive dependence between mechanical power and positive end-expiratory pressure. Setting: Interdisciplinary Collaboration in Systems Medicine Research Network. Subjects: Data were collected from a prospective observational cohort of pediatric acute respiratory distress syndrome from the Children's Hospital of Philadelphia (n= 77) and from the low tidal volume arm of the Acute Respiratory Distress Syndrome Network tidal volume trial (n= 100). Interventions: Global optimization algorithms evaluated more than 26.7 million changes to ventilator settings (approximately 150,000 per patient) to identify strategies that minimize driving pressure, mechanical power, or modified mechanical power. Measurements and Main Results: Large average reductions in driving pressure (pediatric: 23%, adult: 23%), mechanical power (pediatric: 44%, adult: 66%), and modified mechanical power (pediatric: 61%, adult: 67%) were achievable in both cohorts when oxygenation and ventilation were allowed to vary within prespecified ranges. Reductions in driving pressure (pediatric: 12%, adult: 2%), mechanical power (pediatric: 24%, adult: 46%), and modified mechanical power (pediatric: 44%, adult: 46%) were achievable even when no deterioration in gas exchange was allowed. Minimization of mechanical power and modified mechanical power was achieved by increasing tidal volume and decreasing respiratory rate. In the pediatric cohort, minimum driving pressure was achieved by reducing tidal volume and increasing respiratory rate and positive end-expiratory pressure. The Acute Respiratory Distress Syndrome Network dataset had limited scope for further reducing tidal volume, but driving pressure was still significantly reduced by increasing positive end-expiratory pressure. Conclusions: Our analysis identified different strategies that minimized driving pressure or mechanical power consistently across pediatric and adult datasets. Minimizing standard and alternative formulations of mechanical power led to significant increases in tidal volume. Targeting driving pressure for minimization resulted in ventilator settings that also reduced mechanical power and modified mechanical power, but not vice versa.
机译:目的:已经提出了机械动力和驱动压力作为呼吸机引起的肺损伤的指标和可能的司机。我们测试了这些不同措施的效用作为导出最大保护通风机设置的目标。设计:高保真计算模拟器与个体患者数据相匹配,用于识别最小化驱动压力,机械功率和改进的机械电源的策略,可在机械功率和正端呼气压力之间消除直接线性,积极依赖性。设置:系统医学研究网络中的跨学科合作。主题:从费城儿童医院(N = 77)和急性呼吸窘迫综合征网络潮气卷试验(n = 100)的低潮气体臂,从前瞻性观察群体的小儿急性呼吸窘迫综合征中收集数据。干预措施:全球优化算法评估了呼吸机设置(每位患者约150,000)的2670万变化,以确定最小化驱动压力,机械功率或改进的机械电源的策略。测量和主要结果:驾驶压力的平均平均减少(儿科:23%,成人:23%),机械电源(儿科:44%,成人:66%),改进机械电源(儿科:61%,成人:67在允许氧合和通气时允许在预定的范围内变化时,%)可实现。降低驾驶压力(儿科:12%,成人:2%),机械动力(儿科:24%,成人:46%),改进的机械功率(儿科:44%,成人:46%)即使没有允许煤气交换的劣化。通过增加潮气量和呼吸速率降低来实现机械功率和改性机械功率的最小化。在儿科队列中,通过降低潮气量并增加呼吸速率和正末期呼气压力来实现最小的驱动压力。急性呼吸窘迫综合征网络数据集的范围有限,用于进一步减少潮气量,但通过增加正终端呼气压力仍然显着降低了驱动压力。结论:我们的分析确定了不同策略,可持续跨小儿和成人数据集最小化驱动压力或机械功率。最小化机械电源的标准和替代配方导出了潮气量的显着增加。针对最小化的驱动压力导致呼吸机设置,也降低了机械功率和改进的机械功率,但不反之亦然。

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