Kitware, Inc., Carrboro, North Carolina, United States of America.
Electrical and Computer Engineering, Bucknell University, Lewisburg, Pennsylvania, United States of America.
PLoS One. 2020 Nov 25;15(11):e0242532. doi: 10.1371/journal.pone.0242532. eCollection 2020.
The COVID-19 pandemic is stretching medical resources internationally, sometimes creating ventilator shortages that complicate clinical and ethical situations. The possibility of needing to ventilate multiple patients with a single ventilator raises patient health and safety concerns in addition to clinical conditions needing treatment. Wherever ventilators are employed, additional tubing and splitting adaptors may be available. Adjustable flow-compensating resistance for differences in lung compliance on individual limbs may not be readily implementable. By exploring a number and range of possible contributing factors using computational simulation without risk of patient harm, this paper attempts to define useful bounds for ventilation parameters when compensatory resistance in limbs of a shared breathing circuit is not possible. This desperate approach to shared ventilation support would be a last resort when alternatives have been exhausted.
A whole-body computational physiology model (using lumped parameters) was used to simulate each patient being ventilated. The primary model of a single patient with a dedicated ventilator was augmented to model two patients sharing a single ventilator. In addition to lung mechanics or estimation of CO2 and pH expected for set ventilation parameters (considerations of lung physiology alone), full physiological simulation provides estimates of additional values for oxyhemoglobin saturation, arterial oxygen tension, and other patient parameters. A range of ventilator settings and patient characteristics were simulated for paired patients.
To be useful for clinicians, attention has been directed to clinically available parameters. These simulations show patient outcome during multi-patient ventilation is most closely correlated to lung compliance, oxygenation index, oxygen saturation index, and end-tidal carbon dioxide of individual patients. The simulated patient outcome metrics were satisfactory when the lung compliance difference between two patients was less than 12 mL/cmH2O, and the oxygen saturation index difference was less than 2 mmHg.
In resource-limited regions of the world, the COVID-19 pandemic will result in equipment shortages. While single-patient ventilation is preferable, if that option is unavailable and ventilator sharing using limbs without flow resistance compensation is the only available alternative, these simulations provide a conceptual framework and guidelines for clinical patient selection.
COVID-19 大流行正在使国际医疗资源紧张,有时会导致呼吸机短缺,从而使临床和伦理情况变得复杂。需要通过单个呼吸机对多个患者进行通气的可能性不仅会引起临床状况需要治疗,还会引起患者健康和安全方面的担忧。无论在何处使用呼吸机,都可能会有额外的管道和分接管接头。对于单个肢体的肺顺应性差异,可能无法轻易实施可调流量补偿阻力。通过使用计算模拟在不损害患者的情况下探索许多可能的相关因素及其范围,本文试图在无法补偿共享呼吸回路肢体中的补偿阻力的情况下,为通气参数定义有用的界限。当替代方案已用尽时,这种对共享通气支持的绝望方法将是最后的手段。
使用全身计算生理学模型(使用集中参数)模拟每个被通气的患者。对单个患者专用呼吸机的主要模型进行了扩充,以模拟两个患者共享单个呼吸机。除了通气参数的肺力学或二氧化碳和 pH 值的估计(仅考虑肺生理学)外,完整的生理模拟还提供了其他一些值的估计,例如氧合血红蛋白饱和度、动脉血氧分压和其他患者参数。对配对患者模拟了一系列呼吸机设置和患者特征。
为了对临床医生有用,我们已经将注意力集中在临床可用参数上。这些模拟表明,多患者通气期间的患者预后与患者的肺顺应性、氧合指数、氧饱和度指数和患者个体的呼气末二氧化碳最为密切相关。当两个患者的肺顺应性差异小于 12 mL/cmH2O 且氧饱和度指数差异小于 2 mmHg 时,模拟的患者预后指标令人满意。
在世界资源有限的地区,COVID-19 大流行将导致设备短缺。虽然单患者通气是首选,如果该选项不可用,并且使用没有流量阻力补偿的肢体进行呼吸机共享是唯一可用的替代方案,那么这些模拟提供了临床患者选择的概念框架和指南。