Digital twins suggest a mechanistic basis for differing responses to increased flow rates during high-flow nasal cannula therapy.

IF 2.8 Q2 CRITICAL CARE MEDICINE
Hossein Shamohammadi, Sina Saffaran, Roberto Tonelli, Valentina Chiavieri, Giacomo Grasselli, Enrico Clini, Tommaso Mauri, Declan G Bates
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引用次数: 0

Abstract

Background: Inconsistent responses to increased flow rates have been observed in patients with acute hypoxemic respiratory failure (AHRF) treated with high-flow nasal cannula (HFNC) therapy, with a significant minority in two recent studies exhibiting increased respiratory effort at higher flow rates. Digital twins of patients receiving HFNC could help understand the physiological basis for differing responses.

Methods: Patient data were collated from previous studies in AHRF patients who were continuously monitored with electrical impedance tomography and oesophageal manometry and received HFNC at flow rates of 30, 40 or 45 L/min. Patients, based on their responses to an increase in flow rate to 60 L/min, were categorised into two groups: five responders with reduced oesophageal pressure swings ΔPes (- 3.1 cmH2O on average), and five non-responders with increased ΔPes (+ 2.0 cmH2O on average). Two cohorts of digital twins were created based on these data using a multi-compartmental mechanistic cardiopulmonary simulator. Digital twins' responses to increased HFNC flow rates (60 L/min) were simulated with constant respiratory effort to assess changes in gas exchange and lung mechanics, and with varying respiratory effort to quantify their combined effects on lung mechanics and P-SILI indicators.

Results: The digital twins accurately replicated patient-specific responses at all flow rates. Responder digital twins showed a mean 20 mL/cmH2O increase in lung compliance at higher flow rates, versus a 6 mL/cmH2O decrease in compliance with non-responders. In digital twins of responders versus non-responders, increased flow rates produced a mean change in lung stress of - 1.5 versus + 1.2 cmH2O, in dynamic lung strain of - 8.8 versus + 16.4%, in driving pressure of - 1.3 versus + 1.1 cmH2O, and in mechanical power of - 0.8 versus + 1.2 J/min. Higher flow rate dependent positive end-expiratory pressure in digital twins of non-responders did not cause recruitment, and reduced tidal volumes due to higher functional residual capacities-to compensate for the resulting worsened gas-exchange, non-responders increased their respiratory effort, in turn increasing patient self-inflicted lung injury (P-SILI) indicators. In digital twins of responders, reductions in tidal volumes due to higher FRCs resulting from increased PEEP were outweighed by alveolar recruitment. This increased compliance and improved gas exchange, permitting reduced respiratory effort and decreases in P-SILI indicators.

Conclusions: Failure to reduce spontaneous respiratory efforts in response to increased HFNC flow rates could be due to a deterioration in lung mechanics, with an attendant risk of P-SILI.

数字双胞胎提示在高流量鼻插管治疗中对增加流量的不同反应的机制基础。
背景:在接受高流量鼻插管(HFNC)治疗的急性低氧性呼吸衰竭(AHRF)患者中,观察到对增加流量的不一致反应,在最近的两项研究中,有显著的少数患者显示在高流量下呼吸努力增加。接受HFNC的患者的数字双胞胎可以帮助理解不同反应的生理基础。方法:整理以往研究中AHRF患者的数据,这些患者通过电阻抗断层扫描和食管测压术连续监测,并以30、40或45 L/min的流速接受HFNC治疗。根据患者对流速增加至60 L/min的反应,将患者分为两组:5名缓解者食管压力波动减少ΔPes(平均- 3.1 cmH2O), 5名无缓解者增加ΔPes(平均+ 2.0 cmH2O)。基于这些数据,使用多室机械心肺模拟器创建了两个数字双胞胎队列。数字双胞胎对增加的HFNC流量(60 L/min)的反应通过持续的呼吸努力来模拟,以评估气体交换和肺力学的变化,并通过不同的呼吸努力来量化它们对肺力学和P-SILI指标的综合影响。结果:数字双胞胎在所有流量下准确地复制了患者的特异性反应。应答者数字双胞胎显示,在高流速下,肺顺应性平均增加20 mL/cmH2O,而无应答者的肺顺应性平均减少6 mL/cmH2O。在有反应者和无反应者的数字双胞胎中,流量增加导致肺压力的平均变化为- 1.5和+ 1.2 cmH2O,肺动态应变的平均变化为- 8.8和+ 16.4%,驱动压力的平均变化为- 1.3和+ 1.1 cmH2O,机械功率的平均变化为- 0.8和+ 1.2 J/min。无应答者的数字双胞胎的高流速依赖的呼气末正压没有引起复吸,并且由于更高的功能剩余容量而降低了潮气量——为了补偿由此导致的气体交换恶化,无应答者增加了呼吸努力,反过来增加了患者自我造成的肺损伤(P-SILI)指标。在应答者的数字双胞胎中,由于PEEP增加导致的高FRCs导致的潮气量减少被肺泡恢复所抵消。这增加了依从性,改善了气体交换,减少了呼吸努力,降低了P-SILI指标。结论:在HFNC流速增加的情况下,未能减少自发呼吸努力可能是由于肺力学恶化,伴随P-SILI的风险。
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
Intensive Care Medicine Experimental
Intensive Care Medicine Experimental CRITICAL CARE MEDICINE-
CiteScore
5.10
自引率
2.90%
发文量
48
审稿时长
13 weeks
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