Department of Anesthesiology, University of Utah School of Medicine, Salt Lake City, UT, 84132, USA.
Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, 84112, USA.
J Clin Monit Comput. 2022 Jun;36(3):725-733. doi: 10.1007/s10877-021-00700-5. Epub 2021 Apr 29.
Flow sensors are often sensitive to the presence of volatile anesthetics. However, this sensitivity provides a unique opportunity to combine flow sensors of differing technological principles as an alternative to measuring volatile anesthetic gas concentration, particularly for austere settings. To determine the feasibility of flow sensor fusion for volatile anesthetic concentrations monitoring, eight flow sensors were tested with isoflurane, sevoflurane, and desflurane, ranging in concentrations from 0-4.5%, 0-3.5%, and 0-18%, respectively. Pairs of flow sensors were fit to the volatile anesthetic gas concentration with a leave-one-out cross-validation method to reduce the likelihood of overfitting. Bland-Altman was used for the final evaluation of sensor pair performance. Several sensor pairs yielded limits of agreement comparable to the rated accuracy of a commercial infrared spectrometer. The ultrasonic and orifice-plate flowmeters yielded the most combinations of viable sensor pairs for all three volatile anesthetic gases. Conclusion: Measuring volatile anesthetic gases using flow sensor fusion is a feasible low-cost, low-maintenance alternative to infrared spectroscopy. In this study, testing was done under steady-state conditions in 100% oxygen. Further testing is necessary to ensure sensor fusion performance under conditions that are more reflective of the clinical use case.
流量传感器通常对挥发性麻醉剂的存在敏感。然而,这种敏感性为结合使用不同技术原理的流量传感器提供了独特的机会,作为替代测量挥发性麻醉气体浓度的方法,特别是在简陋环境下。为了确定流量传感器融合用于监测挥发性麻醉剂浓度的可行性,用浓度范围分别为 0-4.5%、0-3.5%和 0-18%的异氟烷、七氟烷和地氟烷对 8 个流量传感器进行了测试。采用留一法交叉验证方法拟合流量传感器对挥发性麻醉气体浓度,以减少过度拟合的可能性。Bland-Altman 用于最终评估传感器对性能。一些传感器对在与商业红外光谱仪的额定精度相当的允许误差范围内产生了结果。超声和孔板式流量计对所有三种挥发性麻醉气体产生了最多的可行传感器对组合。结论:使用流量传感器融合测量挥发性麻醉气体是一种可行的低成本、低维护的替代红外光谱法的方法。在这项研究中,在 100%氧气的稳态条件下进行了测试。需要进一步测试以确保在更能反映临床使用情况的条件下传感器融合性能。