Influence of compliance and resistance of the test lung on the accuracy of the tidal volume delivered by the ventilator.

IF 2.6 3区 医学 Q2 RESPIRATORY SYSTEM
Zheng-Long Chen, Yu-Zhong Yan, Hong-Yi Yu, Qiu-Bo Wang, Wei Wang, Ming Zhong
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引用次数: 0

Abstract

Background: Large variations in respiratory system compliance and resistance may cause the accuracy of tidal volume (VT) delivery beyond the declared range. This study aimed at evaluating the accuracy of VT delivery using a test lung model to simulate pulmonary mechanics under normal or disease conditions.

Methods: In vitro assessment of the VT delivery accuracy was carried out on two commercial ventilators. Measurements of the inspired and expired VT from the ventilator and FlowAnalyser were compared to evaluate the separated and combined influences of compliance and resistance on the delivered VT accuracy. To do this, the errors of five delivered volumes (30 ml, 50 ml, 100 ml, 300 ml, and 500 ml) were checked under 29 test conditions involving a total of 27 combinations of resistance and compliance.

Results: For the tested ventilator S1 with a flow sensor near the expiratory valve, the average of expired VT errors (ΔVTexp) in three measurements (4 test conditions for each measurement) correlated to test lung compliance (r=-0.96, p = 0.044), and the average of inspired VT errors (ΔVTins) correlated to compliance (r = 0.89, p = 0.106); for the tested ventilator S2 with a flow sensor located at the Y piece, no clear relationship between compliance and ΔVTexp or ΔVTins was found. Furthermore, on two ventilators tested, the current measurements revealed a poor correlation between test lung resistance and ΔVTins or ΔVTexp, and the maximum values of ΔVTexp and ΔVTins correspond to the maximum resistance of 200 cmH2O/(L/s), at which the phenomenon of the flap fluttering in the variable orifice flow senor was observed, and the recorded peak inspiratory pressure (Ppeak) was much higher than the Ppeak estimated by the classical equation of motion. In contrast, at the lower resistance values of 5, 20, 50 and 100 cmH2O/(L/s), the recorded Ppeak was very close to the estimated Ppeak. Overall, the delivered VT errors were in the range of ± 14% on two ventilators studied.

Conclusions: Depending on the placement site of the flow sensor in the ventilator circuit, the compliance and resistance of the test lung have different influences on the accuracy of VT delivery, which is further attributed to different fluid dynamics effects of the compliance and resistance. The main influence of compliance is to raise the peak inspiratory pressure Ppeak, thereby increasing the compression volume within the ventilator circuit; whereas a high resistance not only contributes to elevating Ppeak, but more importantly, it governs the gas flow conditions. Ppeak is a critical predictive indicator for the accuracy of the VT delivered by a ventilator.

测试肺的顺应性和阻力对呼吸机输出潮气量准确性的影响。
背景:呼吸系统顺应性和阻力的巨大变化可能会导致潮气量(VT)输送的准确性超出规定范围。本研究旨在使用测试肺模型模拟正常或疾病条件下的肺力学,评估潮气量输送的准确性:方法:在两台商用呼吸机上对 VT 输送的准确性进行了体外评估。通过比较呼吸机和流量分析仪对吸入和呼出 VT 的测量结果,评估顺应性和阻力对 VT 输送准确性的单独和综合影响。为此,在共涉及 27 种阻力和顺应性组合的 29 种测试条件下检查了五种输送量(30 毫升、50 毫升、100 毫升、300 毫升和 500 毫升)的误差:对于在呼气阀附近装有流量传感器的受测呼吸机 S1,三次测量(每次测量 4 种测试条件)中呼气 VT 误差的平均值(ΔVTexp)与测试肺顺应性相关(r=-0.96,p = 0.044),而吸入 VT 误差的平均值(ΔVTins)与顺应性相关(r=0.89,p=0.106);对于在 Y 片上安装了流量传感器的受测呼吸机 S2,没有发现顺应性与 ΔVTexp 或 ΔVTins 之间有明确的关系。此外,在测试的两台呼吸机上,电流测量结果显示测试肺阻力与 ΔVTins 或 ΔVTexp 之间的相关性很差,ΔVTexp 和 ΔVTins 的最大值与 200 cmH2O/(L/s) 的最大阻力相对应,在该阻力下,可变孔板流量传感器出现了瓣膜翻动现象,记录到的吸气峰压(Ppeak)远高于经典运动方程估计的 Ppeak。相反,在阻力值较低的 5、20、50 和 100 cmH2O/(L/s)条件下,记录到的吸气峰值非常接近估计的吸气峰值。总体而言,所研究的两台呼吸机的输出 VT 误差在 ± 14% 之间:结论:根据流量传感器在呼吸机回路中的放置位置,测试肺的顺应性和阻力对 VT 输送的准确性有不同的影响,这进一步归因于顺应性和阻力的不同流体动力学效应。顺应性的主要影响是提高吸气峰值压力 Ppeak,从而增加呼吸机回路内的压缩量;而高阻力不仅有助于提高 Ppeak,更重要的是它会影响气体流动条件。Ppeak 是呼吸机输出 VT 精确度的重要预测指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Pulmonary Medicine
BMC Pulmonary Medicine RESPIRATORY SYSTEM-
CiteScore
4.40
自引率
3.20%
发文量
423
审稿时长
6-12 weeks
期刊介绍: BMC Pulmonary Medicine is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of pulmonary and associated disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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