在机械通风过程中进行能量转移的非侵入性量化
1Professor Emeritus Medicine, Anesthesiology and Engineering The George Washington University Washington, DC.
新的方程准确量化了机械通风过程中呼吸机对患者的能量转移 (ETv),即使患者付出了努力. 这种非侵入性方法使用气道信号进行实时评估,有助于预防肺损伤.
科学领域:
- 机械通风机械通风机械通风
- 呼吸机械学 呼吸机械
- 生物医学工程 生物医学工程
背景情况:
- 呼吸器对患者的能量转移 (ETv) 有助于呼吸器引起的肺损伤.
- 现有的ETv配方忽视了患者的呼吸肌力努力 (Pmus).
研究的目的:
- 开发和验证数学表达式,用于每次呼吸的ETv.
- 将患者的呼吸力 (Pmus) 纳入ETv计算中.
- 仅使用气道压力 (Paw) 和流量 (Faw) 信号进行非侵入性量化.
主要方法:
- 从单个隔间呼吸系统模型中导出方程.
- 与VCV和PCV模式中的ETv相关的Pmus压力时间产物 (PmusPTP).
- 经过验证的模型使用来自通风患者的高准确度Paw和Faw记录.
主要成果:
- 在VCV (R2 = 0.99) 和PCV (R2 = 0.98) 两种模式中计算和测量ETv之间非常一致.
- 在两个通风模式中观察到低偏差 (VCV:0.3 ± 0.9 J·min-1;PCV: -0.10 ± 1.94 J·min-1).
- 证明了精确,非侵入性,每次呼吸的ETv量化,仅使用气道信号.
结论:
- 开发的模型在受控机械通风过程中准确量化ETv.
- 允许实时评估灌气能量动态.
- 为减少呼吸机引起的肺损伤提供了生理基础.
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