Division of Paediatric Respiratory Medicine and Allergology, Department of Paediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
ndd Medizintechnik AG, Zurich, Switzerland.
J Appl Physiol (1985). 2024 Mar 1;136(3):460-471. doi: 10.1152/japplphysiol.00096.2022. Epub 2024 Jan 25.
Multiple-breath washout (MBW) is an established technique to assess functional residual capacity (FRC) and ventilation inhomogeneity in the lung. Indirect calculation of nitrogen concentration requires accurate measurement of gas concentrations. To investigate the accuracy of the CO concentration and molar mass (MM) values used for the indirect calculation of nitrogen concentration in a commercial MBW device [EasyOne Pro LAB (EOPL), ndd Medizintechnik AG, Switzerland] and its impact on outcomes. We used high-precision gas mixtures to evaluate CO and MM sensor output in vivo and in vitro. We developed updated algorithms to correct observed errors and assessed the impact on MBW outcomes and FRC measurement accuracy compared with body plethysmography. The respiratory exchange ratio (RER)-based adjustment of the measured CO signal used in the EOPL led to an overestimated CO signal (range -0.1% to 1.0%). In addition, an uncorrected dependence on humidity was identified. These combined effects resulted in an overestimation of expired nitrogen concentrations (range -0.7% to 2.6%), and consequently MBW outcomes. Corrected algorithms reduced the mean (SD) cumulative expired volume by 15.8% (9.7%), FRC by 6.6% (3.0%), and lung clearance index by 9.9% (7.6%). Differences in FRC between the EOPL and body plethysmography further increased. Inadequate signal correction causes RER- and humidity-dependent expired nitrogen concentration errors and overestimation of test outcomes. Updated algorithms reduce average signal error, however, RER values far from the population average still cause measurement errors. Despite improved signal accuracy, the updated algorithm increased the difference in FRC between the EOPL and body plethysmography. We investigated the accuracy of the molar mass (MM) and CO sensors of a commercial multiple-breath washout device (ndd Medizintechnik AG, Switzerland). We identified humidity and respiratory exchange ratio-dependent errors that in most measurements resulted in an overestimation of expired nitrogen concentrations, and consequently, MBW results. Functional residual capacity and lung clearance index decreased by 6.6% and 9.9%, respectively. Despite improved signal accuracy, the difference in FRC between the EOPL and body plethysmography increased.
多次呼吸冲洗(MBW)是一种评估肺功能残气量(FRC)和通气不均一性的成熟技术。氮浓度的间接计算需要准确测量气体浓度。为了研究商业 MBW 设备[EasyOne Pro LAB(EOPL),ndd Medizintechnik AG,瑞士]中用于间接计算氮浓度的 CO 浓度和摩尔质量(MM)值的准确性及其对结果的影响。我们使用高精度气体混合物在体内和体外评估 CO 和 MM 传感器的输出。我们开发了更新的算法来纠正观察到的误差,并评估与体描仪相比对 MBW 结果和 FRC 测量精度的影响。EOPL 中使用的基于呼吸交换率(RER)的测量 CO 信号的调整导致 CO 信号高估(范围为-0.1%至 1.0%)。此外,还确定了对湿度未校正的依赖性。这些综合影响导致呼出氮浓度高估(范围为-0.7%至 2.6%),从而导致 MBW 结果高估。校正算法使累积呼出量平均减少 15.8%(9.7%),FRC 减少 6.6%(3.0%),肺清除指数减少 9.9%(7.6%)。EOPL 和体描仪之间的 FRC 差异进一步增加。信号校正不足会导致 RER 和湿度依赖的呼出氮浓度误差,并高估测试结果。更新的算法减少了平均信号误差,但是,远离人群平均值的 RER 值仍然会导致测量误差。尽管信号准确性得到提高,但更新的算法增加了 EOPL 和体描仪之间 FRC 的差异。我们研究了一种商业多呼吸冲洗设备(ndd Medizintechnik AG,瑞士)的摩尔质量(MM)和 CO 传感器的准确性。我们确定了湿度和呼吸交换率依赖性误差,这些误差在大多数测量中导致呼出氮浓度高估,从而导致 MBW 结果高估。功能残气量和肺清除指数分别下降 6.6%和 9.9%。尽管信号准确性得到提高,但 EOPL 和体描仪之间的 FRC 差异仍在增加。