Shamohammadi Hossein, Saffaran Sina, Tonelli Roberto, Chiavieri Valentina, Grasselli Giacomo, Clini Enrico, Mauri Tommaso, Bates Declan G
School of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
Respiratory Diseases Unit, Department of Medical and Surgical Sciences, University Hospital of Modena, University of Modena and Reggio Emilia, Modena, Italy.
Intensive Care Med Exp. 2025 Jun 26;13(1):66. doi: 10.1186/s40635-025-00773-5.
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.
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 ΔP (- 3.1 cmHO on average), and five non-responders with increased ΔP (+ 2.0 cmHO 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.
The digital twins accurately replicated patient-specific responses at all flow rates. Responder digital twins showed a mean 20 mL/cmHO increase in lung compliance at higher flow rates, versus a 6 mL/cmHO 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 cmHO, in dynamic lung strain of - 8.8 versus + 16.4%, in driving pressure of - 1.3 versus + 1.1 cmHO, 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.
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.
在接受高流量鼻导管(HFNC)治疗的急性低氧性呼吸衰竭(AHRF)患者中,观察到对流量增加的反应不一致,在最近的两项研究中,相当一部分患者在较高流量时呼吸努力增加。接受HFNC治疗患者的数字孪生模型有助于理解不同反应的生理基础。
收集先前对AHRF患者的研究数据,这些患者接受电阻抗断层扫描和食管测压连续监测,并以30、40或45L/min的流量接受HFNC治疗。根据患者对流量增加至60L/min的反应,将其分为两组:五名反应者食管压力波动ΔP降低(平均-3.1cmH₂O),五名无反应者ΔP增加(平均+2.0cmH₂O)。基于这些数据,使用多室机械心肺模拟器创建了两组数字孪生模型。在呼吸努力恒定的情况下模拟数字孪生模型对HFNC流量增加(60L/min)的反应,以评估气体交换和肺力学的变化,并在呼吸努力变化的情况下量化其对肺力学和患者自身造成的肺损伤(P-SILI)指标的综合影响。
数字孪生模型在所有流量下都准确复制了患者的特定反应。反应者数字孪生模型在较高流量时肺顺应性平均增加20mL/cmH₂O,而无反应者的顺应性降低6mL/cmH₂O。在反应者与无反应者的数字孪生模型中,流量增加导致肺应力的平均变化分别为-1.5和+1.2cmH₂O,动态肺应变分别为-8.8%和+16.4%,驱动压力分别为-1.3和+1.1cmH₂O,机械功率分别为-0.8和+1.2J/min。无反应者数字孪生模型中较高的流量依赖性呼气末正压并未导致肺复张,由于功能残气量增加导致潮气量减少,为了补偿由此导致的气体交换恶化,无反应者增加了呼吸努力,进而增加了P-SILI指标。在反应者的数字孪生模型中,由于PEEP增加导致FRC增加而引起的潮气量减少被肺泡复张所抵消。这增加了顺应性并改善了气体交换,从而允许减少呼吸努力并降低P-SILI指标。
对HFNC流量增加未能降低自主呼吸努力可能是由于肺力学恶化,伴有P-SILI风险。