Girardi Michele, Capelli Carlo, Ferguson Carrie, Ward Susan A, Rossiter Harry B
Institute of Respiratory Medicine and Exercise Physiology, Division of Respiratory and Critical Care Physiology and Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA.
Department of Pathophysiology and Transplants, University of Milano, Milano, Italy.
Exp Physiol. 2025 Jun;110(6):790-797. doi: 10.1113/EP092221. Epub 2025 Feb 21.
Tidal breathing in awake humans is variable. This variability causes changes in lung gas stores that affect gas exchange measurements. To overcome this, several algorithms provide solutions for breath-by-breath alveolar gas exchange measurement; however, there is no consensus on a physiologically robust method suitable for widespread application. A recent approach, the 'independent-breath' (IND) algorithm, avoids the complexity of measuring breath-by-breath changes in lung volume by redefining what is meant by a 'breath'. Specifically, it defines a single breathing cycle as the time between equal values of the / (or / ) ratio, that is, the ratio of fractional concentrations of lung-expired O (or CO) and nitrogen (N). These developments imply that the end of one breath is not, by necessity, aligned with the start of the next. Here we demonstrate how the use of the IND algorithm fails to conserve breath-by-breath mass balance of O and CO exchanged between the atmosphere and tissues (and vice versa). We propose a new term, within the IND algorithm, designed to overcome this limitation. We also present the far-reaching implications of using algorithms based on alternative definitions of the breathing cycle, including challenges in measuring and interpreting the respiratory exchange ratio, pulmonary gas exchange efficiency, dead space fraction of the breath, control of breathing, and a broad spectrum of clinically relevant cardiopulmonary exercise testing variables. Therefore, we do not support the widespread adoption of currently available alternative definitions of the breathing cycle as a legitimate solution for breath-by-breath alveolar gas exchange measurement in research or clinical settings.
清醒人类的潮气呼吸是可变的。这种变异性会导致肺气体储存量发生变化,进而影响气体交换测量。为克服这一问题,有几种算法为逐次呼吸的肺泡气体交换测量提供了解决方案;然而,对于一种适用于广泛应用的生理上可靠的方法,尚未达成共识。最近的一种方法,即“独立呼吸”(IND)算法,通过重新定义“呼吸”的含义,避免了测量肺容积逐次呼吸变化的复杂性。具体而言,它将单个呼吸周期定义为 / (或 / )比值相等时的时间间隔,即肺呼出的 O(或 CO)与氮气(N)的分数浓度之比。这些进展意味着一次呼吸的结束不一定与下一次呼吸的开始对齐。在此,我们展示了IND算法的使用如何无法保持大气与组织之间交换的 O 和 CO 的逐次呼吸质量平衡(反之亦然)。我们在IND算法中提出了一个新术语,旨在克服这一限制。我们还阐述了使用基于呼吸周期替代定义的算法所产生了深远影响,包括在测量和解释呼吸交换率、肺气体交换效率、呼吸的死腔分数、呼吸控制以及一系列临床相关的心肺运动测试变量方面所面临的挑战。因此,我们不支持在研究或临床环境中广泛采用目前可用的呼吸周期替代定义,将其作为逐次呼吸肺泡气体交换测量的合理解决方案。