一种新型低成本呼吸机的设计与效果:人工肺的可行性研究

A. Mehrabani, G. Meyerowitz, I. Emeruwa, N. Jackson, K. Schwab
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引用次数: 0

摘要

在COVID-19大流行期间,对呼吸机的迫切需求催生了创新呼吸机设计的生产,希望在灾害情况下优化供应、制造、易用性和成本。我们发明了一种新型的低成本呼吸机,名为QuantumAir,它使用“窒息流”来进行体积辅助控制通风。为了评估QuantumAir的有效性和安全性,我们在肺模拟器上对8个测试案例进行了测试,每个测试案例的试验持续至少24个呼吸周期。测量输送潮气量、峰值吸气压力和平台压力,并使用线性回归模型评估与美国食品和药物管理局(FDA)批准的呼吸机相比,QuantumAir呼吸机的非劣劣性。对于每个测试用例,QuantumAir在测量的24次呼吸中提供的潮汐容量的标准偏差范围为0.11至0.80 mL。在所有测试用例中,QuantumAir的潮汐容量和平台压力都不逊于fda批准的呼吸机,在8个测试用例中,有6个测试用例的峰值吸气压力也不逊于fda批准的呼吸机。尽管未来仍需要进行体内研究,但我们的数据显示,在资源有限的情况下,我们有望提供一种更实惠的机械通气解决方案,就像在COVID-19大流行高峰期所经历的那样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Efficacy of a Novel Low-Cost Ventilator: A Feasibility Study on Artificial Lungs
The emergent need for ventilators amidst the COVID-19 pandemic has catalyzed the production of innovative ventilator designs in hopes to optimize supply, manufacturing, ease of use, and cost in disaster situations. We created a novel and low-cost ventilator called QuantumAir, which uses “choked flow” to perform volume assist-control ventilation. To evaluate the efficacy and safety of QuantumAir, we tested the ventilator across eight test cases on a lung simulator, with each test case trial lasting for at least 24 breath cycles. Delivered tidal volumes, peak inspiratory pressures, and plateau pressures were measured, and linear regression models were used to assess for non-inferiority of the QuantumAir ventilator as compared to that of a Food and Drug Administration (FDA)-cleared ventilator. For each of the test cases, the standard deviation for the tidal volumes delivered during the 24 measured breaths on the QuantumAir ranged from 0.11 to 0.80 mL. The QuantumAir was found to be non-inferior to the FDA-cleared ventilator for both delivered tidal volumes and plateau pressures across all test cases and non-inferior for peak inspiratory pressures in six of the eight test cases. Although future in vivo studies are still needed, our data shows promise to offer a more affordable solution to mechanical ventilation in resource-limited situations, as was experienced during the peak of the COVID-19 pandemic.
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