Laubscher T P, Heinrichs W, Weiler N, Hartmann G, Brunner J X
Hamilton Bonaduz AG, Switzerland.
IEEE Trans Biomed Eng. 1994 Jan;41(1):51-9. doi: 10.1109/10.277271.
Closed loop control of ventilation is traditionally based on end-tidal or mean expired CO2. The controlled variables are the respiratory rate RR and the tidal volume VT. Neither patient size or lung mechanics were considered in previous approaches. Also the modes were not suitable for spontaneously breathing subjects. This report presents a new approach to closed loop controlled ventilation, called Adaptive Lung Ventilation (ALV). ALV is based on a pressure controlled ventilation mode suitable for paralyzed, as well as spontaneously breathing, subjects. The clinician enters a desired gross alveolar ventilation (V'gA in l/min), and the ALV controller tries to achieve this goal by automatic adjustment of mechanical rate and inspiratory pressure level. The adjustments are based on measurements of the patient's lung mechanics and series dead space. The ALV controller was tested on a physical lung model with adjustable mechanical properties. Three different lung pathologies were simulated on the lung model to test the controller for rise time (T90), overshoot (Ym), and steady state performance (delta max). The pathologies corresponded to restrictive lung disease (similar to ARDS), a "normal" lung, and obstructive lung disease (such as asthma). Furthermore, feasibility tests were done in 6 patients undergoing surgical procedures in total intravenous anesthesia. In the model studies, the controller responded to step changes between 48 seconds and 81 seconds. It did exhibit an overshoot between 5.5% and 7.9% of the setpoint after the step change.(ABSTRACT TRUNCATED AT 250 WORDS)
传统上,通气的闭环控制基于呼气末或平均呼出二氧化碳。受控变量是呼吸频率RR和潮气量VT。以往的方法均未考虑患者体型或肺力学情况。而且这些模式也不适用于自主呼吸的受试者。本报告提出了一种新的闭环控制通气方法,称为自适应肺通气(ALV)。ALV基于一种压力控制通气模式,适用于瘫痪以及自主呼吸的受试者。临床医生输入期望的总肺泡通气量(V'gA,单位为升/分钟),ALV控制器试图通过自动调整机械通气频率和吸气压力水平来实现这一目标。调整基于对患者肺力学和串联死腔的测量。在具有可调节机械特性的物理肺模型上对ALV控制器进行了测试。在肺模型上模拟了三种不同的肺部病变,以测试控制器的上升时间(T90)、超调量(Ym)和稳态性能(δmax)。这些病变分别对应限制性肺病(类似于急性呼吸窘迫综合征)、“正常”肺和阻塞性肺病(如哮喘)。此外,对6例接受全静脉麻醉手术的患者进行了可行性测试。在模型研究中,控制器对阶跃变化的响应时间在48秒至81秒之间。阶跃变化后,它确实表现出超调量,超调量在设定值的5.5%至7.9%之间。(摘要截取自250字)