Estimation of deliverd concentration from usual anesthetic monitoring

采用药代动力学模型，从麻醉气体监测（Flan, Fetan）的启发和过期信息中，研究了可逆估计麻醉气体浓度（Fdelan）的算法。希望建立精确的麻醉回路药代动力学模拟模型，利用监测的Flan和Fetan预测给药浓度。然而，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的反向估计。除麻醉回路的物理容量外，麻醉吸收回路的材料还影响麻醉回路的麻醉冲洗和麻醉冲洗过程。对麻醉药物对橡胶等电路材料的吸附模型进行了基础检验。我们的结论是，麻醉回路具有6.6 L物理回路空间和麻醉吸收室（0.8L快速室和0.5 L慢速室），麻醉回路间的扩散速率分别为0.01 L/min和0.001 L/min。结果表明，CO2吸收剂吸收麻醉的面积最大（3L），物理回路间的扩散速率（>3L/min）也最高。我们发现麻醉通过电路壁室的小消除（0.018 L/min）

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)