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Research ArticleOriginal Research

Effect of PEEP on Dead Space in an Experimental Model of ARDS

Gerardo Tusman, Emiliano Gogniat, Matías Madorno, Pablo Otero, José Dianti, Ignacio Fernandez Ceballos, Martín Ceballos, Natalí Verdier, Stephan H Böhm, Pablo O Rodriguez and Eduardo San Roman
Respiratory Care January 2020, 65 (1) 11-20; DOI: https://doi.org/10.4187/respcare.06843
Gerardo Tusman
Department of Anesthesiology, Hospital Privado de Comunidad, Mar del Plata, Argentina.
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  • For correspondence: [email protected]
Emiliano Gogniat
Department of Intensive Care Medicine, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
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Matías Madorno
Instituto Tecnológico Buenos Aires (ITBA), Buenos Aires, Argentina.
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Pablo Otero
Anesthesia Department, Veterinary School, Universidad de Buenos Aires, Buenos Aires, Argentina.
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José Dianti
Department of Intensive Care Medicine, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
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Ignacio Fernandez Ceballos
Department of Intensive Care Medicine, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
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Martín Ceballos
Anesthesia Department, Veterinary School, Universidad de Buenos Aires, Buenos Aires, Argentina.
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Natalí Verdier
Anesthesia Department, Veterinary School, Universidad de Buenos Aires, Buenos Aires, Argentina.
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Stephan H Böhm
Department of Anesthesiology and Intensive Care Medicine, Rostock University Medical Center, Rostock, Germany.
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Pablo O Rodriguez
Pulmonary and Critical Care Medicine, Instituto universitario CEMIC (Centro de Educación Médica e Investigaciones Clínicas), Buenos Aires, Argentina.
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Eduardo San Roman
Department of Intensive Care Medicine, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
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Abstract

BACKGROUND: The difference between Bohr and Enghoff dead space are not well described in ARDS patients. We aimed to analyze the effect of PEEP on the Bohr and Enghoff dead spaces in a model of ARDS.

METHODS: 10 pigs submitted to randomized PEEP steps of 0, 5, 10, 15, 20, 25 and 30 cm H2O were evaluated with the use of lung ultrasound images, alveolar-arterial oxygen difference (P(A-a)O2), transpulmonary mechanics, and volumetric capnography at each PEEP step.

RESULTS: At PEEP ≥ 15 cm H2O, atelectasis and P(A-a)O2 progressively decreased while end-inspiratory transpulmonary pressure (PL), end-expiratory PL, and driving PL increased (all P < .001). Bohr dead space (VDBohr/VT), airway dead space (VDaw/VT), and alveolar dead space (VDalv/VTalv) reached their highest values at PEEP 30 cm H2O (0.69 ± 0.10, 0.53 ± 0.13 and 0.35 ± 0.06, respectively). At PEEP <15 cm H2O, the increases in atelectasis and P(A-a)O2 were associated with negative end-expiratory PL and highest driving PL. VDBohr/VT and VDaw/VT showed the lowest values at PEEP 0 cm H2O (0.51 ± 0.08 and 0.32 ± 0.08, respectively), whereas VDalv/VTalv increased to 0.27 ± 0.05. Enghoff dead space and its derived VDalv/VTalv showed high values at low PEEPs (0.86 ± 0.02 and 0.79 ± 0.04, respectively) and at high PEEPs (0.84 ± 0.04 and 0.65 ± 0.12), with the lowest values at 15 cm H2O (0.77 ± 0.05 and 0.61 ± 0.11, respectively; all P < .001).

CONCLUSIONS: Bohr dead space was associated with lung stress, whereas Enghoff dead space was partially affected by the shunt effect.

  • dead space
  • PEEP
  • lung stress
  • ARDS
  • VILI
  • carbon dioxide

Introduction

Volumetric capnography is a bedside tool to assess lung function and to adjust ventilatory settings in mechanically ventilated patients.1–3 Using expired CO2 as a tracer, volumetric capnography estimates dead space (Vd) based on the mass balance equation originally described by Bohr.4 In the clinical field, Vd is commonly estimated applying the Enghoff modification of Bohr's original formula, replacing the alveolar PCO2 value with the arterial value (PaCO2)5,6 This approach, however, contaminates the true dead space in which alveoli are ventilated but not perfused by the effect of shunting blood through non-ventilated lung areas. Because this PaCO2-based apparent dead space does not represents any real volume, it is also called fictitious dead space.7 Today, true dead space according to Bohr's formula can be estimated because modern volumetric capnography can measure mean alveolar PCO2 in a noninvasive way.8 Therefore, Bohr dead space ((VDBohr) and its subcomponents of airway dead space ((VDaw) and alveolar dead space ((VDalv) have become available at the bedside on a breath-by-breath basis.8,9

It is accepted that positive-pressure ventilation increases (VDaw and (VDalv by dilating the conducting airways and by decreasing pulmonary capillary perfusion at the alveolar–capillary membrane, respectively.10,11 These effects depend mainly on the ventilatory settings and on how the pressures and volumes delivered by the ventilator are distributed within the lungs.12,13 We hypothesized that the Bohr dead space is a surrogate for lung stress, which is one of the major determinants of ventilator-induced lung injury, because it is derived exclusively from gas sampled from all parts of the lungs.14 The Enghoff index, however, does not reflect lung stress very well in the presence of a high shunt.

The objective of this study was to test the effect of PEEP on the parameters of Bohr and Enghoff in an animal model of ARDS under constant ventilation and stable hemodynamic conditions.

QUICK LOOK

Current knowledge

It is accepted that positive-pressure ventilation with PEEP increases Bohr dead space by dilating the conducting airways and decreasing pulmonary capillary perfusion at the alveolar level. Thus, dead space is considered a surrogate of lung stress despite lack of clear evidence.

What this paper contributes to our knowledge

In an animal model of ARDS with ventilation at constant settings, high levels of PEEP (ie, > 15 cm H2O) increased airway and alveolar dead space, whereas PEEP <15 cm H2O increased only the alveolar component of dead space. These findings were related to high inspiratory lung stress, plateau pressure, driving pressure, and lung elastance.

Methods

This study was performed at the laboratory of the Department of Anesthesiology, Veterinary School, Universidad de Buenos Aires, Buenos Aires, Argentina, with the corresponding approval of the Institutional Animal Ethical Committee (CICUAL Register number 08/14).

Baseline Ventilation and ARDS Model

Ten Landrace pigs age 3–4 months weighing 29 ± 10 kg were included in the study. All of the animals were placed in the supine position and anesthetized using standard techniques. Lungs were ventilated through a cuffed 7.5 endotracheal tube with a Puritan Bennett 980 (Puritan Bennett, Carlsbad, California) in VC-CMV mode using a tidal volume (VT) of 10 mL/kg, a breathing frequency of 24 breaths/min at an inspiratory-expiratory ratio of 1:2, PEEP 10 cm H2O, and FIO2 1.0.

We used a 2-hit experimental ARDS model. Repeated lung lavages with normal saline (30 mL/kg at 37°C) were performed until PaO2/FIO2 ≤ 200 mm Hg at PEEP 10 cm H2O. The animals were then submitted to 120 min of injurious mechanical ventilation at PEEP 0 cm H2O, VT 15 mL/kg, frequency 12 breaths/min, an inspiratory-expiratory ratio of 1:2, and FIO2 1.0. Thereafter, baseline ventilatory settings were restored; the success of the model was confirmed with a PaO2/FIO2 ≤ 200 mm Hg, and lung ultrasound imaging showing bilateral atelectasis in the dependent lungs.15

Gas Exchange, Lung Ultrasound, and Hemodynamics

Arterial blood samples were analyzed with the Enterprise Point-of-Care System (Epocal, Ottawa, Ontario, Canada), and the oxygen alveolar-to-arterial partial pressure difference was calculated as follows: Embedded Image

where P(A-a)O2 is the alveolar-arterial oxygen difference and PiO2 is the inspired oxygen pressure.

Lung ultrasound assessed atelectasis with the use of the Micromaxx echograph (Sonosite, Bothell, Washington). A linear probe (8–12 MHz) was used to examine the chest after dividing it into 4 quadrants, 2 ventral and 2 dorsal, with the mid-axillary line and the diaphragm as limits. Normally aerated lung was defined as the presence of lung sliding and A lines, whereas atelectasis was defined as the presence of condensation on air bronchograms.15 The presence of atelectasis was determined in each quadrant for each animal during all protocol steps.

Mean arterial pressure, stroke volume variation, and cardiac index were measured with the Vigileo hemodynamics monitor (Edwards Lifesciences, Irvine, California). Saline solution was infused in line with the protocol at a baseline rate of 4 mL/kg/h. Between PEEP steps, a combination of 5 mL/kg boluses of saline and intravenous infusion of norepinephrine (initial dose 0.01 μkg/min) were administered if mean arterial pressure < 60 mm Hg, stroke volume variation > 12%, and/or cardiac index ≤ 2.5 L/min/m2.

Respiratory Mechanics

Respiratory mechanics were measured with the Fluxmed monitor (MBMed, Buenos Aires, Argentina) after calibration of the flow and pressure sensors. Data were recorded on a laptop using the corresponding software FluxReview (MBMed). At each PEEP level, intrinsic PEEP and plateau pressure (Pplat) were measured with end-expiratory and end-inspiratory holds, respectively, each lasting > 3 s. Respiratory driving pressure was determined as Pplat − total PEEP. Compliance of the respiratory system (CRS = VT/driving pressure) and airway resistance (Raw = peak-Pplat pressure/inspiratory flow) were calculated.

An esophageal latex balloon 7 cm long was placed at mid-esophageal position and inflated with 1 mL air. Its position was checked with the occlusion method described for mechanically ventilated patients.16 Transpulmonary pressure (PL) was calculated as the difference between airway and esophageal (Pes) pressures. End-inspiratory PL and end-expiratory PL were the transpulmonary pressures measured at the end of the inspiratory and expiratory pauses, respectively. Driving PL was computed as end-inspiratory PL − end-expiratory PL. Total elastance of the respiratory system (ie, driving pressure/VT) was divided into lung elastance (ie, driving PL/VT) and chest wall elastance (ie, inspiratory-expiratory Pes/VT).

Volumetric Capnography

Dead space was measured with the NICO monitor (Philips, Wallingford, Connecticut) using a mainstream Capnostat sensor placed at the airway opening between the Y piece and the endotracheal tube. Data were recorded with a laptop, and volumetric capnograms were analyzed off-line as previously described (see supplemental materials at http://www.rcjournal.com).8,9,17–19 Figure 1 depicts volumetric capnography and the related Bohr and Enghoff formulas.

Fig. 1.
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Fig. 1.

Volumetric capnography-derived parameters and dead space measurements. (A) Conceptual depiction of volumetric capnography: Fowler technique separates the tidal volume (VT) in an airway dead space ((VDaw) from the alveolar tidal volume ((VTalv) at the curve's inflection point a. (B) Bohr dead space ((VDBohr) is represented by the black area; the gray area represents the virtual, fictitious, or apparent dead space created by the shunt effect when using the Enghoff modification of the Bohr formula. (C) Formulas representing the respective approaches by Bohr and Enghoff. VTCO2 = the amount of CO2 eliminated in one tidal breath; PaCO2 = alveolar PCO2; PĒCO2 = mixed expired partial pressure of CO2.

Protocol

The protocol started recording baseline ventilation as describe above. PEEP values of 0, 5, 10, 15, 20, 25 and 30 cm H2O at constant ventilation were randomly assigned by sealed envelopes and applied for 10 min each.20 After each PEEP step, the ventilator circuit was disconnected for 15 s, followed by baseline ventilation for 10 min. Lung ultrasound confirmed the presence of atelectasis before any PEEP step to maintain similar baseline conditions and additional lung lavages were performed if lung aeration improved.

Volumetric capnography and respiratory mechanics were recorded continuously, and the last 2 min of each PEEP step was analyzed. Arterial blood gas samples and lung ultrasound images were performed toward the end of each PEEP step.

Statistical Analysis

Statistical analysis was performed with R 3.3.3 (R Foundation for Statistical Computing, Vienna, Austria). First, mean values of each variable at each PEEP step for all animals were calculated. Then, to overrule pseudo-replication due to repeated measurement of the same animal, relationships between gas exchange and mechanics were assessed using mixed-effect regression models. The animal was included as a random intercept. A similar approach was used when fitting repeated measurement analysis of variance models (using the respective PEEP step as an independent variable). Model marginal (related to fixed factors) and conditional coefficients of determination for mixed-effect linear regression models were calculated using MuMIn package.21 To explore potential non-linear relationships between variables, second-degree polynomial (quadratic) regression models were used. Continuous variables are expressed as mean ± SD, and P value ≤ .05 was considered statistically significant.

Results

All animals were successfully studied without major hemodynamic events or barotrauma.

Gas Exchange, Lung Ultrasound, and Hemodynamics

Data recorded at baseline ventilatory settings and stable hemodynamics confirmed the impairment of gas exchange caused by the model (Table 1). Arterial hypoxemia was present in most animals at PEEP ≤ 5 cm H2O, and PaO2 increased progressively with PEEP from 51 ± 22 mm Hg at PEEP 0 to 571 ± 56 mm Hg at PEEP 30 cm H2O (Table 1, P < .001). P(A-a)O2 was directly related to the number of atelectatic quadrants per animal (marginal R2 = 0.789, P < .001). Figure 2 depicts a high P(A-a)O2 in the presence of atelectasis at low PEEP and how this index decreased by the alveolar recruitment observed at high levels of PEEP.

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Table 1.

Gas Exchange and Hemodynamics Variables During the Protocol

Fig. 2.
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Fig. 2.

Gas exchange and performance of the Bohr and Enghoff parameters as a function of PEEP, which was used as a surrogate of shunt. Atelectasis was diagnosed with lung ultrasound. Cumulative presence of atelectasis of all quadrants (ventral and dorsal, right and left) of all animals is presented as circles for each level of PEEP. A circle at zero means that the animal did not develop atelectasis. Analysis of variance was used for all variables (P < .001). (VDBohr and (VDEng = physiological dead space using the Bohr and Enghoff formulas, respectively; (VDaw/VT = airway dead space; (VDalv/(VTalv = ratio of alveolar dead space to alveolar tidal volume; PaCO2 = alveolar PCO2. P(A-a)O2 = alveolar-arterial O2 difference.

As shown in Table 1, the highest PaCO2 and P(A-a)CO2 values were noted at constant ventilation using low PEEP values (both P < .001). We found that highest P(a-ACO2) was associated with the presence of atelectasis and highest P(A-aO2) (marginal R2 = 0.37, P < .001; and marginal R2 = 0.45, P < .001, respectively). At PEEP ≤ 15 cm H2O, hypercapnia was related more to the presence of atelectasis and shunt effect than to the increase in dead space at PEEP ≥ 15 cm H2O (Fig. 2). Hemodynamic parameters showed no significant difference between the PEEP steps, and only stroke volume variation increased significantly at PEEP > 20 cm H2O (Table 1).

Lung Mechanics

Changes in PEEP affected lung mechanics without any effect on chest wall elastance (P = .23). Total elastance of the respiratory system changed by the difference in lung elastance every time PEEP changed (Table 2, P < .001). At constant tidal volume, CRS and Raw changed at the different PEEP steps (Table 2, P < .001). The highest CRS value of 15.8 ± 5.0 mL/cm H2O was found at a mean PEEP of 15 cm H2O, and the lowest Raw value of 19.9 ± 7.3 cm H2O/L/s was observed at PEEP 30 cm H2O.

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Table 2.

Respiratory Mechanics

Figure 2 shows that Pplat remained quite similar at PEEP values ≤ 15 cm H2O but then increased progressively with PEEP, reaching the highest value at PEEP 30 cm H2O (57.6 ± 8.3 cm H2O). The lowest end-inspiratory PL of 17.9 ± 3.9 cm H2O was found at PEEP 10, but this increased at higher PEEP values (P < .001). End-expiratory PL presented increases proportional to the PEEP applied, showing negative values at PEEP ≤ 10 cm H2O and positive values in all pigs as soon as PEEP values were ≥ 20 cm H2O (P < .001).

Both driving pressure and driving PL showed a nonlinear behavior with PEEP, reaching their lowest values at PEEP 15 (19.6 ± 4.8 cm H2O) and PEEP 20 (15.5 ± 4.8 cm H2O), respectively. These parameters, however, increased at both ends of the PEEP scale, reaching highest values at PEEP 0, with a driving pressure of 31.1 ± 6.6 cm H2O and a driving PL of 27.4 ± 6.7 cm H2O (Fig. 3).

Fig. 3.
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Fig. 3.

Airway (A) and transpulmonary (B) pressures during the study. Driving, end-inspiratory, and end-expiratory pressures were obtained from the pressure signals obtained at the airway opening and from esophageal pressure measurements with the esophageal balloon. Analysis of variance was used for all variables (P < .001).

Volumetric Capnography

Dead space estimated with the Bohr equation showed significant changes with PEEP (Table 3, all P < .001). Whereas (VDBohr/VT and (VDaw/VT increased progressively with PEEP, the alveolar component showed the lowest value of 0.25 ± 0.02 at PEEP 10 cm H2O but increased again at low and high PEEP values (Fig. 2).

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Table 3.

Dead Space

VDEng/VT and its derived (VDalv/(VTalv, on the other hand, presented high values at low and high PEEP values, showing their lowest value at PEEP 15 cm H2O (0.77 ± 0.05 and 0.61 ± 0.11, respectively). Figure 2 indicates that the highest VDEng/VT and (VDalv/(VTalv values were more associated with the atelectasis-related shunt than with the overdistention caused by high PEEP values.

Figure 4 shows a quadratic model of dead space as a function of end-exppiratory and end-inspiratory PL. The Bohr dead space value and its airway subcomponent showed a nonlinear increase with end-expiratory PL (marginal R2 = 0.53 and R2 = 0.54, respectively, P < .001), whereas end-inspiratory PL induced a linear increase because the squared terms were not statistically significant in either case (marginal R2 = 0.29 and R2 = 0.24, respectively, P < .001). The relationship between (VDalv/(VTalv and end-expiratory PL fitted a U-shaped function when the Bohr method was used (marginal R2 = 0.26, P < .001). The quadratic function established by the model revealed minimum (VDalv/(VTalv at end-expiratory PL of −1.43 cm H2O. However, according to the quadratic model, (VDalv/(VTalv showed a linear relationship with end-inspiratory PL (marginal R2 = 0.24, P < .001; quadratic term Wald test, P = .42).

Fig. 4.
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Fig. 4.

The Bohr and Enghoff formulas as a function of end-expiratory, end-inspiratory, and transpulmonary pressures. Lines represent predicted values from quadratic regression models to assess non-linear relationships. Marginal R2 values related to the fixed effect of the mixed models are also displayed. (PL,ee and (PL,ei/VT = end-expiratory and end-inspiratory transpulmonary pressures, respectively; (VDaw/VT = airway dead space, (VDalv/(VTalv = alveolar dead space to alveolar tidal volume ratio.

(VDEng/VT responded differently to PEEP than (VDBohr/VT (Fig. 4). (VDEng/VT decreased as with end-expiratory PL (marginal R2 = 0.12, P = .038) and was unrelated to end-inspiratory PL (marginal R2 = 0.05, P = .25). The derived (VDalv/(VTalv showed a straight line as a function of end-expiratory PL (marginal R2 = 0.36, P < .001), and it was also unrelated to end-inspiratory PL (marginal R2 = 0.04, P = .29).

Discussion

The main findings of this study can be summarized as follows. First, the Bohr dead space and transpulmonary lung mechanics changed with PEEP. Second, (VDaw/VT increased almost linearly with PEEP ≥ 15 cm H2O. Third, the Enghoff modification of the original Bohr formula leads to significant effects from shunt on the estimated results, but it is unable to discern between the effects of shunt and high inspiratory lung stress on its derived alveolar dead space value. Fourth, in this model, hypercapnia was more related to atelectasis-induced shunt effects at low PEEP values than to the dead space created by high PEEP values. Fifth, at PEEP values ≥ 15 cm H2O, high Pplat and end-inspiratory PL values clearly suggest lung overdistention and were related to decreases in expired CO2 per breath and increases in both the Bohr and the Enghoff dead spaces. Finally, at PEEP values < 15 cm H2O, Pplat and end-inspiratory PL remained constant but above the recommended safe values, while driving pressure, driving PL, and lung elastance increased. The increase in driving pressures at low PEEP values was associated with decreases in the amount of CO2 eliminated per breath (VTCO2) and increases in (VDalv/(VTalv.

The effect of PEEP on airway dead space has been described before.1,9,10,22 (VDaw is calculated according to Fowler and is independent of the Bohr and Enghoff equations.9 Fowler postulated that the midpoint of phase 2 of capnograms represents the mean interface or limit between gas transport by diffusion within alveoli and by convection within the conducting airways.19 Such interface is dynamic, moving closer to the respiratory bronchiole at end-inspiration. It constitutes the limit between airway and alveoli,9,23,24 thereby enabling the distinction between those parts of the tidal volume belonging to the conducting airways from those belonging to the alveolar compartment on a volumetric capnogram.1–3

Positive-pressure ventilation increases (VDaw/VT by 2 potential mechanisms: one is related to the dilation of the airways by increased airway pressures and pre-inspiratory lung volumes based on its intrinsic elastic nature25; the other mechanism is related to the end-inspiratory displacement of the interface between convective and diffusive CO2 transport deeper into the lungs.10

The increase in airway dead space caused by PEEP has been observed in animal models and in subjects with ARDS.26–29 These studies showed (VDaw/VT values much higher than the ones obtained in volunteers and in healthy mechanically ventilated subjects during anesthesia ((VDaw/VT ∼ 0.20).18 Our results correspond with those found in subjects with ARDS showing an increase in (VDaw/VT almost proportional to PEEP (Fig. 2). When (VDaw/VT was presented as a function of end-expiratory PL or end-inspiratory PL using quadratic models, such a relationship fitted a curved shape function that described a nonlinear behavior (Fig. 4).

Reports of the effect of PEEP on (VDalv have been contradictory in previous publications. Beydon et al27 observed constant alveolar dead spaces in subjects with ARDS subjected to different levels of PEEP. Suter et al28 described nonlinear changes in (VDalv when PEEP was modified in mechanically ventilated subjects with respiratory failure. The authors reported that the “best” PEEP value was related to the lowest alveolar dead space and to the highest compliance and oxygen transport. It is, however, essential to note that these studies used the Enghoff formula, thereby including the effect of shunt. Thus, their conclusions are inappropriate with respect to real dead space. We illustrated the problem of including shunt in dead space estimations in an experimental model of ARDS, where (VDalv derived from the Enghoff equation increased proportional to the amount of shunt and nonaerated lung areas measured with computed tomography images at low levels of PEEP.26 In this study, our findings with the Enghoff approach produced results similar to those reported by Beydon et al27 and Suter et al.28 We found a decrease in the Enghoff-derived (VDalv/(VTalv, which was associated to a increase in arterial oxygenation (Fig. 2). However, as opposed to the Bohr values, the Enghoff (VDalv/(VTalv did not increase much with PEEP > 15 cm H2O, where lung recruitment and overdistention have mixed but opposite effects on this dead space value.

The Bohr formula, on the other hand, avoids any contamination by shunt because it derives its input values of PĒCO2 and alveolar PCO2 exclusively from gas samples measured within airways.8,9 In contrast to the Enghoff parameters, the Bohr-derived alveolar dead space showed a curved shape when presented as function of end-expiratory PL and a linear behavior when related to end-inspiratory PL (Fig. 4). Our (VDalv/(VTalv values were 3 times higher than those observed in healthy subjects undergoing positive-pressure ventilation ((VDalv/(VTalv ≤ 0.10) and were slightly higher than those typically measured in patients with ARDS.18,29

At PEEP ≥ 15 cm H2O, the high Pplat and end-inspiratory PL were related to a high (VDalv/(VTalv (Figs. 2 and 3). Because hemodynamics and ventilation remained constant during the entire protocol, those variables are indicative of high lung stress, which increased the Bohr alveolar dead space component, thereby decreasing expired CO2 per breath.

At PEEP < 15 cm H2O, however, Pplat and end-inspiratory PL remained constant, though above the recommended safe values (Table 2, Fig. 3). Lung collapse at low PEEP values made lungs more heterogeneous, showing negative end-expiratory PL and increasing driving pressure, driving PL, and lung elastance. These latter variables might reflect a cyclic strain as postulated by Amato et al30 and illustrated by Terragni et al31 using computed tomography images.

Retamal et al32 and Tsuchida et al33 reported in an experimental model that atelectasis acts as a stress concentrator, inducing local inflammation in ventilated lung areas. In another study, Retamal et al reported that the regional strain was spatially correlated with the inflammatory response within the ventilated areas.34 The presence of inflammation in ventilated lung zones due to tidal stretch of the baby lung has challenged our current understanding of the mechanisms of ventilator-induced lung injury.35,36

The increase in Bohr (VDalv/(VTalv observed at low PEEP values could be a consequence of atelectasis as a stress concentrator, generating alveolar stretching and pulmonary capillary compression in the small functional lung. The decrease in expired CO2 per breath can be explained by this capillary compression (Table 3), as well as by the decrease in the area of gas exchange induced by atelectasis. This explanation is speculative because we measured neither strain nor capillary perfusion, which should be the focus of future studies.

Clinical Implications

The clinical implications of our findings point toward novel monitoring capabilities of volumetric capnography in relation to PEEP titration and adjustment of mechanical ventilation. At constant ventilation and stable hemodynamics, the level of PEEP had a significant influence on the efficiency of ventilation. The effect of PEEP on lung collapse and lung stress was well reflected by changes in the Bohr dead space, the Enghoff index, expired CO2 per breath, and lung mechanics.

Our results also highlighted the differences between the Bohr approach and the Enghoff approach. While the Bohr dead space represented the inefficiency of ventilation and provided information on the impact of positive pressure on the airways and alveoli, the Enghoff index was primarily affected by the shunt effect. Thus, the physiological implications of these approaches are different yet complementary and must be taken into account when interpreting such results in ventilated patients.

The Bohr dead spaces may help clinicians understand the functional impact of PEEP, not only on the elimination of CO2 and hypercapnia, but also on the stretch it exerts on the airways and alveoli. Because ARDS is a heterogeneous and complex lung condition, the response to PEEP or any other modification of the ventilator setting may be highly variable among patients.6,29 Thus, the Bohr dead space can help personalize lung-protective ventilation using volumetric capnography as a noninvasive, real-time, bedside monitoring method.

Limitations

The extreme range of PEEP values and Pplat investigated in our protocol was designed to test the ability of volumetric capnography to detect lung stress using the concept of dead space. Some of these PEEP and Pplat levels are clinically unacceptable, although they were necessary to answer our scientific questions. A factorial design with different tidal volumes would have added further important insights, but, in addition to being impractical to perform, such a design would also have changed dead space ratios. This added complexity might have rendered the interpretation of the results difficult, if not impossible.

The alveolar PCO2 differences observed in our study were higher than those observed in our previous publication in lung-lavaged pigs.37 These higher alveolar PCO2 values could be due to a more aggressive alveolar injury caused by the 2-hit model, changes in the distribution of pulmonary blood flow with exaggerated levels of PEEP, or even a potential systematic error in the NICO monitor measurements.

Pig's lungs and the 2-hit model are far removed from clinical findings in patients with ARDS, especially because the pig's airways are more distensible than those of humans and lavaged lungs are highly recruitable. Although our results show consistent and plausible patterns, the extrapolation of our findings to patients should be done with caution.

Conclusions

In an animal model of ARDS, the Bohr dead space at high PEEP values were associated with an increase in both airway and alveolar dead-space components, as well as high airway and inspiratory transpulmonary pressures as indicators of excessive lung stress. At low PEEP values and in the presence of lung collapse, the Bohr alveolar dead space increased along with the driving pressures and lung elastance. This stretching of the alveolar compartment and the decrease in the elimination of CO2 at low levels of PEEP suggest an increase in inspiratory lung stress at small functional volumes (ie, baby lung). Contrary to the Bohr variables, the Enghoff indexes were highly influenced by atelectasis-induced shunt and, therefore, lost their ability to accurately detect alveolar lung stress.

Footnotes

  • Correspondence: Gerardo Tusman MD, Department of Anesthesiology, Hospital Privado de Comunidad, Mar del Plata, Argentina. E-mail: gtusman{at}hotmail.com.
  • Dr Tusman has disclosed a relationship with Maquet. Dr Madorno is partner and manager of MBMed. The other authors have disclosed no conflicts of interest.

  • See the Related Editorial on Page 129

  • Copyright © 2020 by Daedalus Enterprises

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Effect of PEEP on Dead Space in an Experimental Model of ARDS
Gerardo Tusman, Emiliano Gogniat, Matías Madorno, Pablo Otero, José Dianti, Ignacio Fernandez Ceballos, Martín Ceballos, Natalí Verdier, Stephan H Böhm, Pablo O Rodriguez, Eduardo San Roman
Respiratory Care Jan 2020, 65 (1) 11-20; DOI: 10.4187/respcare.06843

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Effect of PEEP on Dead Space in an Experimental Model of ARDS
Gerardo Tusman, Emiliano Gogniat, Matías Madorno, Pablo Otero, José Dianti, Ignacio Fernandez Ceballos, Martín Ceballos, Natalí Verdier, Stephan H Böhm, Pablo O Rodriguez, Eduardo San Roman
Respiratory Care Jan 2020, 65 (1) 11-20; DOI: 10.4187/respcare.06843
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