Digital Twins to Evaluate the Risk of Ventilator-Induced Lung Injury During Airway Pressure Release Ventilation Compared With Pressure-Controlled Ventilation.

IF 6 1区 医学 Q1 CRITICAL CARE MEDICINE
William Joy, Beatrice Albanese, Diallo Oakley, Sonal Mistry, Kateryna Nikulina, Andreas Schuppert, Gernot Marx, Bindi S Brook, Jonathan G Hardman, John G Laffey, Louise Rose, Luigi Camporota, Timothy E Scott, Declan G Bates, Sina Saffaran
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Abstract

Objective: To use digital twins constructed based on data from patients with acute respiratory distress syndrome (ARDS) to calculate all key indices of ventilator-induced lung injury (VILI) during airway pressure release ventilation (APRV), and to compare them with corresponding values obtained during pressure-controlled ventilation (PCV).

Design: Digital twins were created by matching a high-fidelity cardiopulmonary simulation model to each patient's data.

Setting: Interdisciplinary Collaboration in Systems Medicine Research Network.

Subjects: A dataset consisting of pairs of ventilator settings and arterial blood gases for 98 patients with ARDS receiving PCV.

Interventions: VILI indices were calculated for each recorded PCV datapoint, and for typical APRV settings in fixed and time-controlled adaptive modes, in the same digital twins. Global optimization algorithms evaluated greater than 4.8 million changes to these settings to identify the lowest values of VILI indices that could be achieved in both modes while preserving adequate gas-exchange.

Measurements and mains results: In digital twins, APRV settings of inspiratory pressure equals to 25 cm H2O, low-pressure setting equals to 0 cm H2O, inspiration time equals to 5 s, and expiration time set to achieve 75% of peak expiratory flow rate (mean 0.5 s), reduced mean mechanical power (MP) by 32% and mean tidal alveolar recruitment/de-recruitment by 34% compared with documented PCV settings, at the cost of moderate hypercapnia (mean PaCO2 58.5 mm Hg, pHa 7.32 vs. PaCO2 45.6 mm Hg, pHa 7.37). Mean driving pressure, tidal volume, and lung stress/strain were similar in both modes. Computational optimization showed that these settings were close to optimal in terms of minimizing both mean MP and mean levels of tidal recruitment/de-recruitment during APRV.

Conclusions: Using digital twins we found possible lung-protective conditions and beneficial effects of APRV which need further evaluation in randomized clinical trials.

数字双胞胎评估气道压力释放通气与压力控制通气时呼吸机所致肺损伤的风险。
目的:利用基于急性呼吸窘迫综合征(ARDS)患者数据构建的数字双胞胎,计算气道压力释放通气(APRV)过程中呼吸机致肺损伤(VILI)的各关键指标,并与压力控制通气(PCV)过程中相应数值进行比较。设计:通过将高保真心肺模拟模型与每个患者的数据相匹配,创建数字双胞胎。设置:系统医学研究网络的跨学科合作。研究对象:98例接受PCV治疗的ARDS患者的呼吸机设置和动脉血气数据集。干预措施:计算每个记录的PCV数据点的VILI指数,以及相同数字双胞胎中固定和时间控制自适应模式下典型APRV设置的VILI指数。全局优化算法评估了这些设置的480多万次变化,以确定在两种模式下可以实现的VILI指数的最低值,同时保持足够的气体交换。测量结果及主要结果:在数字双胞胎,APRV设置吸气压力等于25厘米的水,低压水设置等于0厘米,灵感时间等于5 s,和过期时间设置为实现75%的呼气流速峰值(平均0.5 s),减少意味着机械功率(MP) 32%,意味着潮汐肺泡招聘/ de-recruitment 34%记录PCV设置,在温和的血碳酸过多症的成本(意味着PaCO2 58.5毫米汞柱,pHa 7.32 vs PaCO2 45.6毫米汞柱,pHa 7.37)。两种模式下的平均驱动压、潮气量和肺应力/应变相似。计算优化表明,这些设置在最小化APRV期间的平均MP和平均潮汐补充/减少水平方面接近最佳。结论:通过数字双胞胎,我们发现了APRV可能的肺保护作用和有益效果,需要在随机临床试验中进一步评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Critical Care Medicine
Critical Care Medicine 医学-危重病医学
CiteScore
16.30
自引率
5.70%
发文量
728
审稿时长
2 months
期刊介绍: Critical Care Medicine is the premier peer-reviewed, scientific publication in critical care medicine. Directed to those specialists who treat patients in the ICU and CCU, including chest physicians, surgeons, pediatricians, pharmacists/pharmacologists, anesthesiologists, critical care nurses, and other healthcare professionals, Critical Care Medicine covers all aspects of acute and emergency care for the critically ill or injured patient. Each issue presents critical care practitioners with clinical breakthroughs that lead to better patient care, the latest news on promising research, and advances in equipment and techniques.
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