Estimation of deliverd concentration from usual anesthetic monitoring

用药动学模型研究了利用吸入和过期麻醉气体监测(FLAN、FETAN)信息反推给药浓度(Fdelan)的算法。希望对麻醉回路使用精确的药代动力学模拟模型，利用监测的Fan和Fetan预测麻醉给药浓度。但我们发现，在实际水平上没有精确的麻醉回路模型可用于Fdelan的反向估算。除麻醉回路的物理容量外，麻醉回路材料影响麻醉回路中的麻醉洗出和洗入过程。实验结果表明，麻醉回路具有6.6L的L物理回路空间和0.8L的快室和0.5L的L慢室，麻醉回路之间的扩散速率分别为0.01L L/分钟和0.001 L/分钟。结果表明，CO2吸收剂吸收麻醉剂的隔室最大(3L)，物理回路之间的扩散速率(~gt；3L/min)也最高。并且我们发现麻醉剂通过电路壁室的微小消除(0.018 L/分钟)

Estimation of delivered concentration from usual anesthetic monitoringThe algorithm by which reversery estimate delivered anesthetic concentration (Fdelan) was investigated from information of inspired and expired anesthetic gas monitoring (Flan, Fetan) by the pharmacokinetic model.It was desired to use precise pharmacokinetic simulation model for anesthetic circuit, for predicting delivered anesthetic concentration using monitored Flan and Fetan.However, we found that there was no precise anesthetic circuit model to be used for the reverse estimation of Fdelan at a practical level.Besides the physical capacity of the anesthetic circuit, anesthetic absorbing circuit material affect anesthetic wash-out and wash-in process in the anesthetic circuit. A basic examination was added and focused on the model about the adsorption of anesthetic to the circuit material such as rubber.In our conclusion, the anesthetic circuit has 6.6 L physical circuit space and anesthetic absorbing compartments (0.8L fast compartment and 0.5 L slow compartment, in which diffusion rate of 0.01 L/min, and 0.001 L/min were observed respectively between anesthesia circuit. We found that CO2 absorbent was most large compartment (3L) absorbing anesthetic and diffusion rate (>3L/min) between physical circuit was also highest. And we found that the small elimination of anesthetic through circuit wall compartment (0.018 L/min)