麻醉通气患者呼吸力学的自动测量。

D Benhamou, A M Lorino, H Lorino, F Zerah, A Harf
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引用次数: 0

摘要

自动多元线性回归分析方法(automated multilinear regression analysis, MLRA)最近被提出用于测量机械通气受试者的呼吸力学[11]。该方法适用于任何吸气流型,不需要对表征流动阻力非线性项的参数值作任何假设。本文将10例机械通气患者与Rossi等人[15]描述的恒流量充气(CFIM)方法进行了比较。气管插管患者的流动阻力非线性项低于相应的孤立气管插管患者。MLRA法的呼吸系统弹性值显著高于CFIM法(p < 0.01),而呼吸系统阻力值显著低于CFIM法(p < 0.01)。这些差异可能是由于在通货膨胀的早期肺单位的补充。当在呼吸回路中插入额外的电阻时,两种方法都证明能够准确地确定其值。因此,它们似乎适用于麻醉通气患者的呼吸阻力监测。
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Automated measurement of respiratory mechanics in anaesthetized ventilated patients.

The automated multilinear regression analysis method (MLRA) was recently proposed to measure respiratory mechanics in mechanically ventilated subjects [11]. The method is applicable whatever the inspiratory flow pattern and without any assumption as to the value of the parameter characterizing the non linear term of flow resistance. It was compared here in ten mechanically ventilated patients to the constant flow inflation (CFIM) method described by Rossi et al. [15]. The non linear term of flow resistance was lower in intubated patients than in corresponding isolated endotracheal tubes. When derived from the MLRA method, the values for the elastance of the respiratory system were significantly higher (p less than 0.01) than with the CFIM method, and those for the system resistance, significantly lower (p less than 0.01). These differences might be due to the recruitment of lung units in the early part of inflation. When additional resistances were inserted into the respiratory circuit, both methods proved able to determine their values accurately. They therefore appear suitable for respiratory resistance monitoring in anaesthetized ventilated patients.

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