Achanta Satyanarayana, Gentile Michael A, Euliano Neil R
Department of Anesthesiology, Duke University School of Medicine, Durham, NC, United States.
Convergent Engineering Inc., Gainesville, FL, United States.
Front Med (Lausanne). 2024 Feb 16;11:1356769. doi: 10.3389/fmed.2024.1356769. eCollection 2024.
During the COVID-19 pandemic surge in the hospitalization of critically ill patients and the global demand for mechanical ventilators, alternative strategies for device sharing were explored. We developed and assessed the performance of a system for shared ventilation that uses clinically available components to individualize tidal volumes under a variety of clinically relevant conditions. The feasibility of remote monitoring of ventilators was also assessed.
By using existing resources and off-the-shelf components, a ventilator-sharing system (VSS) that ventilates 2 patients simultaneously with a single device, and a ventilator monitoring system (VMS) that remotely monitors pulmonary mechanics were developed. The feasibility and effectiveness of VSS and VMS were evaluated in benchtop testing using 2 test lungs on a single ventilator, and then performance was assessed in translational swine models of normal and impaired lung function.
In benchtop testing, VSS and VMS delivered the set individualized parameters with minimal % errors in test lungs under pressure- and volume-regulated ventilation modes, suggesting the highest precision and accuracy. In animal studies, the VSS and VMS successfully delivered the individualized mechanical ventilation parameters within clinically acceptable limits. Further, we found no statistically significant difference between the target and measured values.
The VSS adequately ventilated 2 test lungs or animals with variable lung conditions. The VMS accurately displayed mechanical ventilation settings, parameters, and alarms. Both of these systems could be rapidly assembled for scaling up to ventilate several critically ill patients in a pandemic or mass casualty disaster situations by leveraging off-the-shelf and custom 3D printed components.
在新冠疫情期间,危重症患者住院人数激增,全球对机械通气设备的需求增大,因此探索了设备共享的替代策略。我们开发并评估了一种共享通气系统的性能,该系统使用临床可用组件,在各种临床相关条件下实现潮气量个体化。同时还评估了呼吸机远程监测的可行性。
利用现有资源和现成组件,开发了一种可使用单个设备同时为两名患者通气的呼吸机共享系统(VSS),以及一种可远程监测肺力学的呼吸机监测系统(VMS)。在台式测试中,使用单个呼吸机上的两个测试肺评估VSS和VMS的可行性和有效性,然后在正常和肺功能受损的转化猪模型中评估其性能。
在台式测试中,在压力和容量调节通气模式下,VSS和VMS在测试肺中以最小的百分比误差提供设定的个体化参数,表明其具有最高的精度和准确性。在动物研究中,VSS和VMS成功地在临床可接受的范围内提供个体化机械通气参数。此外,我们发现目标值和测量值之间没有统计学上的显著差异。
VSS能够充分为两个测试肺或肺状况各异的动物通气。VMS能够准确显示机械通气设置、参数和警报。通过利用现成的和定制的3D打印组件,这两种系统都可以快速组装,以便在大流行或大规模伤亡灾难情况下扩大规模,为多名危重症患者通气。