评估与机械功率相关的呼吸机设置:潮汐量与呼吸速率动力学

IF 7.5 1区 医学 Q1 ANESTHESIOLOGY
Anaesthesia Pub Date : 2025-04-20 DOI:10.1111/anae.16616
Mohamad F. El-Khatib, Robert L. Chatburn
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引用次数: 0

摘要

我们饶有兴趣地阅读了Buiteman-Kruizinga等人的文章,该文章研究了机械通气的各个组成部分对机械功率的影响,并提供了证据表明,当针对较低的机械功率时,呼吸速率可能是最具吸引力的呼吸机设置。作者利用了来自三个随机临床试验的数据,这些试验涉及因急性呼吸窘迫综合征(ARDS)以外的原因接受容积或压力控制通气形式的有创机械通气的患者。此外,作者按上四分位数切点17j对患者进行分组。机械动力为Min-1,但没有根据使用机械通气的方式对患者进行隔离。这一探索与我们的研究非常吻合,我们使用数学模拟器[2]模拟了个体呼吸机设置(如潮气量、呼吸速率和呼气末正压)对各种通气模式和ARDS严重程度的机械功率的影响。我们的一些发现与Buiteman-Kruizinga等人的发现非常吻合。然而,我们的数据表明,潮汐体积减少可能是将机械功率降低到≤17 J的最有效和一致的策略。Min-1,特别是在定流量的量控通风条件下,与压力控制通风和下降坡道量控通风相比,产生的机械功率最低。值得注意的是,Buiteman-Kruizinga等人强调呼吸频率是降低非ARDS患者机械功率的主要目标,而我们的建模数据表明,在模拟ARDS情景中,潮汐容积减少更有效。造成这种差异的一个明显原因是Buiteman-Kruizinga等人研究的患者没有ARDS,而我们的研究包括轻度、中度和重度ARDS的模拟患者。然而,我们认为另一个重要的原因可能是Buiteman-Kruizinga等人并没有根据机械通气方式对患者进行隔离,而是混合了在容积控制和压力控制通气下获得的机械功率值,尽管在这两种广泛使用的机械通气模式下,机械功率的表达方式不同[3]。在容积控制通气和压力控制通气的表达式中,呼吸速率都与机械功率成正比,而潮气量不仅与机械功率成正比,还可以通过其对机械功率表达式中包含的驱动压力和气道峰值压力的间接影响来反映。对于相同的模拟肺力学,我们的数据表明,在相同的潮气量和呼吸频率下,与压力控制相比,容积控制通气产生的机械功率更低。此外,我们的模拟表明,每当机械功率超过某个安全阈值(例如>; 17 j.m min-1)时,在容积控制或压力控制通气期间,降低潮气量比降低呼吸频率更有效地将机械功率恢复到安全目标。另一个可以解释某些结果差异的原因可能是模拟环境的受控性质[2]与现实世界的异质性[1]。尽管如此,这两项研究都集中在一个观点上,即过度的机械动力——不管它来自什么环境——都与不良后果有关,应该主动减轻。我们研究结果的互补性强化了根据个体患者特征和病理生理调整通气策略的必要性。未来的前瞻性临床研究直接比较潮气量和率操作在ARDS表型和呼吸机模式将是非常宝贵的指导床边决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating ventilator settings as related to mechanical power: tidal volume vs. respiratory rate dynamics

We read with great interest the article by Buiteman-Kruizinga et al. [1] which investigated the effect of individual components of mechanical ventilation on mechanical power and provided evidence that the respiratory rate may be the most attractive ventilator setting to adjust when targeting a lower mechanical power. The authors utilised data from three randomised clinical trials that involved patients receiving invasive mechanical ventilation in the form of either volume- or pressure-controlled ventilation for reasons other than acute respiratory distress syndrome (ARDS). In addition, the authors grouped the patients by an upper quartile cut-point of 17 J.min-1 for mechanical power but did not segregate patients based on the mode of mechanical ventilation utilised.

This exploration aligns well with our study in which we modelled the effects of individual ventilator settings such as tidal volume, respiration rate and positive end-expiratory pressure on mechanical power across various ventilation modes and ARDS severity using a mathematical simulator [2]. Some of our findings align well with those of Buiteman-Kruizinga et al. However, our data showed that tidal volume reduction may be the most effective and consistent strategy for reducing mechanical power to ≤ 17 J.min-1, especially under volume-controlled ventilation with constant flow, which yielded the lowest mechanical power compared with pressure-controlled ventilation and descending ramp volume-controlled ventilation.

Notably, Buiteman-Kruizinga et al. emphasised respiratory rate as a prime target to lower mechanical power in patients without ARDS, whereas our modelling data suggest tidal volume reduction is more efficient in simulated ARDS scenarios. An obvious reason for this divergence is the fact that the patients in the study by Buiteman-Kruizinga et al. did not have ARDS while our study included simulated patients with mild, moderate and severe ARDS. However, we believe another important reason may be the fact that Buiteman-Kruizinga et al. did not segregate patients based on the mode of mechanical ventilation but mixed mechanical power values obtained under volume- and pressure-controlled ventilation despite mechanical power being expressed differently under these two widely used modes of mechanical ventilation [3]. While respiration rate is reflected as directly proportional to mechanical power in both expressions under volume- and pressure-controlled ventilation, tidal volume is not only reflected as directly proportional to mechanical power but also may be reflected through its indirect effect on driving pressure and peak airway pressure that are included in mechanical power expressions. For the same simulated lung mechanics, our data showed that volume-controlled ventilation results in lower generated mechanical power compared with pressure control given the same tidal volume and breathing frequency. Also, our simulations showed that whenever mechanical power exceeded some safe threshold (e.g. > 17 J.min-1), decreases in tidal volume were more efficient than decreases in respiratory rate in bringing mechanical power back to the safe target during either volume- or pressure-controlled ventilation. Another reason that can explain the divergence in some of the results may be the controlled nature of simulated environments [2] vs. real-world heterogeneity [1].

Nonetheless, both studies converge on the notion that excessive mechanical power – irrespective of the setting it originates from – is associated with adverse outcomes and should be mitigated proactively. The complementary nature of our findings reinforces the need to tailor ventilation strategies to individual patient profiles and pathophysiology. Future prospective clinical studies directly comparing tidal volume vs. rate manipulation across ARDS phenotypes and ventilator modes would be invaluable to guide bedside decision-making.

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来源期刊
Anaesthesia
Anaesthesia 医学-麻醉学
CiteScore
21.20
自引率
9.30%
发文量
300
审稿时长
6 months
期刊介绍: The official journal of the Association of Anaesthetists is Anaesthesia. It is a comprehensive international publication that covers a wide range of topics. The journal focuses on general and regional anaesthesia, as well as intensive care and pain therapy. It includes original articles that have undergone peer review, covering all aspects of these fields, including research on equipment.
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