Time Course of Evolving Ventilator-Induced Lung Injury: The "Shrinking Baby Lung"

John J Marini, Luciano Gattinoni, John J Marini, Luciano Gattinoni

Abstract

Objectives: To examine the potentially modifiable drivers that injure and heal the "baby lung" of acute respiratory distress syndrome and describe a rational clinical approach to favor benefit.

Data sources: Published experimental studies and clinical papers that address varied aspects of ventilator-induced lung injury pathogenesis and its consequences.

Study selection: Published information relevant to the novel hypothesis of progressive lung vulnerability and to the biophysical responses of lung injury and repair.

Data extraction: None.

Data synthesis: In acute respiratory distress syndrome, the reduced size and capacity for gas exchange of the functioning "baby lung" imply loss of ventilatory capability that dwindles in proportion to severity of lung injury. Concentrating the entire ventilation workload and increasing perfusion to these already overtaxed units accentuates their potential for progressive injury. Unlike static airspace pressures, which, in theory, apply universally to aerated structures of all dimensions, the components of tidal inflation that relate to power (which include frequency and flow) progressively intensify their tissue-stressing effects on parenchyma and microvasculature as the ventilated compartment shrinks further, especially during the first phase of the evolving injury. This "ventilator-induced lung injury vortex" of the shrinking baby lung is opposed by reactive, adaptive, and reparative processes. In this context, relatively little attention has been paid to the evolving interactions between lung injury and response and to the timing of interventions that worsen, limit or reverse a potentially accelerating ventilator-induced lung injury process. Although universal and modifiable drivers hold the potential to progressively injure the functional lung units of acute respiratory distress syndrome in a positive feedback cycle, measures can be taken to interrupt that process and encourage growth and healing of the "baby lung" of severe acute respiratory distress syndrome.

Conflict of interest statement

The authors have disclosed that they do not have any potential conflicts of interest.

Figures

Figure 1.
Figure 1.
Progressive drop-out of stress-bearing matrix elements. A, Ultra-structure of the stress-bearing network. B, Principle of progressive loading and predisposition to sequential failure of parallel stress-bearing elements. Dropout of weak strands increases the strain on those remaining.
Figure 2.
Figure 2.
At a constant tidal volume, size, and strain of the individual units of the “baby lung” increase with advancing injury. Deformation of remaining airspaces may accentuate the alveolar tensions that correspond to a given pressure, as suggested by a simplistic analogy to the law of La Place: Tension (T) is proportional to the product of distending pressure (P) and unit radius (R).
Figure 3.
Figure 3.
Positive feedback and the “ventilator-induced lung injury vortex” of the shrinking baby lung.
Figure 4.
Figure 4.
Some baby lung units may be protected (not made more vulnerable) as injury advances by reduced intrinsic compliance or their being embedded among already damaged units that surround them.

References

    1. Gattinoni L, Pesenti A. The concept of “baby lung.” Intensive Care Med 2005; 31:776–784
    1. Gattinoni L, Marini JJ, Pesenti A, et al. The “baby lung” became an adult. Intensive Care Med 2016; 42:663–673
    1. Dantzker DR, Brook CJ, Dehart P, et al. Ventilation-perfusion distributions in the adult respiratory distress syndrome. Am Rev Respir Dis 1979; 120:1039–1052
    1. Marini JJ, Gattinoni L. Energetics and the root mechanical cause for ventilator-induced lung injury. Anesthesiology 2018; 128:1062–1064
    1. Marini JJ, Rocco PRM, Gattinoni L. Static and dynamic contributors to VILI in clinical practice: Pressure, energy, and power. Am J Respir Crit Care Med 2020; 201:767–774
    1. Spieth PM, Silva PL, Garcia CS, et al. Modulation of stress versus time product during mechanical ventilation influences inflammation as well as alveolar epithelial and endothelial response in rats. Anesthesiology 2015; 122:106–116
    1. Hotchkiss JR, Jr, Blanch L, Naveira A, et al. Relative roles of vascular and airspace pressures in ventilator-induced lung injury. Crit Care Med 2001; 29:1593–1598
    1. Villar J, Zhang H, Slutsky AS. Lung repair and regeneration in ARDS: Role of PECAM1 and wnt signaling. Chest 2019; 155:587–594
    1. Nuckton TJ, Alonso JA, Kallet RH, et al. Pulmonary dead-space fraction as a risk factor for death in the acute respiratory distress syndrome. N Engl J Med 2002; 346:1281–1286
    1. Morales-Quinteros L, Schultz MJ, Bringué J, et al. ; MARS Consortium: Estimated dead space fraction and the ventilatory ratio are associated with mortality in early ARDS. Ann Intensive Care 2019; 9:128.
    1. Robertson HT. Dead space: The physiology of wasted ventilation. Eur Respir J 2015; 45:1704–1716
    1. Albert RK. The role of ventilation-induced surfactant dysfunction and atelectasis in causing acute respiratory distress syndrome. Am J Respir Crit Care Med 2012; 185:702–708
    1. Haddad IY, Holm BA, Hlavati L, et al. Dependence of surfactant function on extracellular pH: Mechanisms and modifications. J Appl Physiol (1985) 1994; 76:657–662
    1. Bersten AD, Krupa M, Griggs K, et al. Reduced surfactant contributes to increased lung stiffness induced by rapid inspiratory flow. Lung 2020; 198:43–52
    1. Petrini MF, Robertson HT, Hlastala MP. Interaction of series and parallel dead space in the lung. Respir Physiol 1983; 54:121–136
    1. Protti A, Cressoni M, Santini A, et al. Lung stress and strain during mechanical ventilation: Any safe threshold? Am J Respir Crit Care Med 2011; 183:1354–1362
    1. Tomashefski JF., Jr Pulmonary pathology of the adult respiratory distress syndrome. Clin Chest Med 1990; 11:593–619
    1. Garcia CS, Abreu SC, Soares RM, et al. Pulmonary morphofunctional effects of mechanical ventilation with high inspiratory air flow. Crit Care Med 2008; 36:232–239
    1. Maeda Y, Fujino Y, Uchiyama A, et al. Effects of peak inspiratory flow on development of ventilator-induced lung injury in rabbits. Anesthesiology 2004; 101:722–728
    1. Protti A, Maraffi T, Milesi M, et al. Role of strain rate in the pathogenesis of ventilator-induced lung edema. Crit Care Med 2016; 44:e838–e845
    1. Laffey JG, Kavanagh BP. Fifty years of research in ARDS. Insight into acute respiratory distress dyndrome. From models to patients. Am J Respir Crit Care Med 2017; 196:18–28
    1. Slutsky AS, Ranieri VM. Ventilator-induced lung injury. N Engl J Med 2013; 369:2126–2136
    1. Sinclair SE, Altemeier WA, Matute-Bello G, et al. Augmented lung injury due to interaction between hyperoxia and mechanical ventilation. Crit Care Med 2004; 32:2496–2501
    1. Terragni PP, Del Sorbo L, Mascia L, et al. Tidal volume lower than 6 ml/kg enhances lung protection: Role of extracorporeal carbon dioxide removal. Anesthesiology 2009; 111:826–835
    1. Mead J, Takishima T, Leith D. Stress distribution in lungs: A model of pulmonary elasticity. J Appl Physiol 1970; 28:596–608
    1. Cressoni M, Chiurazzi C, Gotti M, et al. Lung inhomogeneities and time course of ventilator-induced mechanical injuries. Anesthesiology 2015; 123:618–627
    1. Faffe DS, Zin WA. Lung parenchymal mechanics in health and disease. Physiol Rev 2009; 89:759–775
    1. Bellani G, Laffey JG, Pham T, et al. ; LUNG SAFE Investigators; ESICM Trials Group: Epidemiology, patterns of care, and mortality for patients with acute respiratory distress syndrome in intensive care units in 50 countries. JAMA 2016; 315:788–800
    1. Cressoni M, Gotti M, Chiurazzi C, et al. Mechanical power and development of ventilator-induced lung injury. Anesthesiology 2016; 124:1100–1108
    1. Marini JJ, Jaber S. Dynamic predictors of VILI risk: Beyond the driving pressure. Intensive Care Med 2016; 42:1597–1600
    1. Rylander C, Högman M, Perchiazzi G, et al. Functional residual capacity and respiratory mechanics as indicators of aeration and collapse in experimental lung injury. Anesth Analg 2004; 98:782–789, table of contents
    1. Sibbald WJ, Anderson RR, Holliday RL. Pathogenesis of pulmonary edema associated with the adult respiratory distress syndrome. Can Med Assoc J 1979; 120:445–450
    1. Lamm WJ, Luchtel D, Albert RK. Sites of leakage in three models of acute lung injury. J Appl Physiol (1985) 1988; 64:1079–1083
    1. Albert RK, Lakshminarayan S, Charan NB, et al. Extra-alveolar vessel contribution to hydrostatic pulmonary edema in in situ dog lungs. J Appl Physiol Respir Environ Exerc Physiol 1983; 54:1010–1017
    1. Marini JJ, Gattinoni L. Propagation prevention: A complementary mechanism for “lung protective” ventilation in acute respiratory distress syndrome. Crit Care Med 2008; 36:3252–3258
    1. Paré PD, Warriner B, Baile EM, et al. Redistribution of pulmonary extravascular water with positive end-expiratory pressure in canine pulmonary edema. Am Rev Respir Dis 1983; 127:590–593
    1. Guérin C, Reignier J, Richard JC, et al. ; PROSEVA Study Group: Prone positioning in severe acute respiratory distress syndrome. N Engl J Med 2013; 368:2159–2168
    1. Gattinoni L, Taccone P, Carlesso E, et al. Prone position in acute respiratory distress syndrome. Rationale, indications, and limits. Am J Respir Crit Care Med 2013; 188:1286–1293
    1. Rohani P, Jude CM, Chan K, et al. Chest radiological findings of patients with severe H1N1 pneumonia requiring intensive care. J Intensive Care Med 2016; 31:51–60
    1. Walkey AJ, Goligher EC, Del Sorbo L, et al. Low tidal volume versus non-volume-limited strategies for patients with acute respiratory distress syndrome. A systematic review and meta-analysis. Ann Am Thorac Soc 2017; 14:S271–S279
    1. Bein T, Weber-Carstens S, Goldmann A, et al. Lower tidal volume strategy (≈3 ml/kg) combined with extracorporeal CO2 removal versus ‘conventional’ protective ventilation (6 ml/kg) in severe ARDS: The prospective randomized Xtravent-study. Intensive Care Med 2013; 39:847–856
    1. Pesenti A, Musch G, Lichtenstein D, et al. Imaging in acute respiratory distress syndrome. Intensive Care Med 2016; 42:686–698
    1. Graf J, Santos A, Dries D, et al. Agreement between functional residual capacity estimated via automated gas dilution versus via computed tomography in a pleural effusion model. Respir Care 2010; 55:1464–1468
    1. Ferluga M, Lucangelo U, Blanch L. Dead space in acute respiratory distress syndrome. Ann Transl Med 2018; 6:388.
    1. Beydon L, Uttman L, Rawal R, et al. Effects of positive end-expiratory pressure on dead space and its partitions in acute lung injury. Intensive Care Med 2002; 28:1239–1245

Source: PubMed

3
Prenumerera