Bates Jason H T, Smith Bradford J, Allen Gilman B
Department of Medicine, University of Vermont College of Medicine, Burlington, VT 05405.
Department of Medicine, University of Vermont College of Medicine, Burlington, VT 05405; Pulmonary/Critical Care Medicine, Department of Medicine, Fletcher Allen Health Care, Burlington, VT 05405.
Drug Discov Today Dis Models. 2015 Spring;15:17-22. doi: 10.1016/j.ddmod.2014.02.005. Epub 2014 Apr 29.
Managing acute respiratory distress syndrome (ARDS) invariably involves the administration of mechanical ventilation, the challenge being to avoid the iatrogenic sequellum known as ventilator-induced lung injury (VILI). Devising individualized ventilation strategies in ARDS requires that patient-specific lung physiology be taken into account, and this is greatly aided by the use of computational models of lung mechanical function that can be matched to physiological measurements made in a given patient. In this review, we discuss recent models that have the potential to serve as the basis for devising minimally injurious modes of mechanical ventilation in ARDS patients.
管理急性呼吸窘迫综合征(ARDS)通常需要进行机械通气,而面临的挑战是避免被称为呼吸机诱导性肺损伤(VILI)的医源性后遗症。在ARDS中制定个性化的通气策略需要考虑患者特定的肺生理学情况,而使用能够与特定患者的生理测量结果相匹配的肺机械功能计算模型对此有很大帮助。在这篇综述中,我们讨论了近期有可能作为为ARDS患者设计微创机械通气模式基础的模型。