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将呼吸机设置滴定至目标驱动压力和机械功率。

Titration of Ventilator Settings to Target Driving Pressure and Mechanical Power.

作者信息

Baedorf Kassis Elias N, Hu Stephanie, Lu MingYu, Johnson Alistair E W, Bose Somnath, Schaefer Maximilian S, Talmor Daniel S, Lehman Li-Wei H, Shahn Zach S

机构信息

Division of Pulmonary and Critical Care, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.

Laboratory for Computational Physiology, Massachusetts Institute of Technology, Boston, Massachusetts.

出版信息

Respir Care. 2023 Jan 30;68(2):199-207. doi: 10.4187/respcare.10258.

Abstract

BACKGROUND

Driving pressure (ΔP) and mechanical power (MP) may be important mediators of lung injury in ARDS; however, there is little evidence for strategies directed at reducing these parameters. We applied predictive modeling to estimate the effects of modifying ventilator parameters on ΔP and MP.

METHODS

Two thousand six hundred twenty-two subjects with ARDS (Berlin criteria) from the Medical Information Mart for Intensive Care IV version 1.0 database admitted to the ICU at Beth Israel Deaconess Medical Center between 2008-2019 were included. Flexible confounding-adjusted regression models for time-varying data were fit to estimate the effects of adjusting PEEP and tidal volume (V) on ΔP and adjusting V and breathing frequency on MP.

RESULTS

Reduction in V reduced ΔP and MP, with more pronounced effect on MP with lower compliance. Strategies reducing frequency consistently increased MP (when V was adjusted to maintain consistent minute ventilation). Adjustment of PEEP yielded a U-shaped effect on ΔP.

CONCLUSIONS

This novel conditional modeling confirmed expected response patterns for ΔP, with the response to adjustments depending on subjects' lung mechanics. Furthermore, a V-driven approach should be favored over a breathing frequency-driven approach when aiming to reduce MP.

摘要

背景

驱动压(ΔP)和机械功率(MP)可能是急性呼吸窘迫综合征(ARDS)肺损伤的重要介导因素;然而,针对降低这些参数的策略几乎没有证据。我们应用预测模型来估计调整呼吸机参数对ΔP和MP的影响。

方法

纳入2008年至2019年间在贝斯以色列女执事医疗中心重症监护病房收治的2622例符合柏林标准的ARDS患者,数据来自重症监护医学信息集市IV版1.0数据库。采用灵活的时变数据混杂因素调整回归模型,以估计调整呼气末正压(PEEP)和潮气量(V)对ΔP的影响,以及调整V和呼吸频率对MP的影响。

结果

降低V可降低ΔP和MP,在顺应性较低时对MP的影响更显著。降低频率的策略持续增加MP(当调整V以维持恒定分钟通气量时)。调整PEEP对ΔP产生U形效应。

结论

这种新型条件模型证实了ΔP的预期反应模式,其对调整的反应取决于受试者的肺力学。此外,在旨在降低MP时,应优先采用V驱动的方法而非呼吸频率驱动的方法。

相似文献

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Driving Pressure: Defining the Range.驱动压:定义范围。
Respir Care. 2019 Aug;64(8):883-889. doi: 10.4187/respcare.06599. Epub 2019 May 14.

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