Background

Numerous studies suggest setting positive end-expiratory pressure during conventional ventilation according to the static pressure-volume (P-V) curve, whereas data on how to adjust mean airway pressure (P(aw)) during high-frequency oscillatory ventilation (HFOV) are still scarce. The aims of the current study were to (1) examine the respiratory and hemodynamic effects of setting P(aw) during HFOV according to the static P-V curve, (2) assess the effect of increasing and decreasing P(aw) on slice volumes and aeration patterns at the lung apex and base using computed tomography, and (3) study the suitability of the P-V curve to set P(aw) by comparing computed tomography findings during HFOV with those obtained during recording of the static P-V curve at comparable pressures.

Methods

Saline lung lavage was performed in seven adult pigs. P-V curves were obtained with computed tomography scanning at each volume step at the lung apex and base. The lower inflection point (Pflex) was determined, and HFOV was started with P(aw) set at Pflex. The pigs were provided five 1-h cycles of HFOV. P(aw), first set at Pflex, was increased to 1.5 times Pflex (termed 1.5 Pflex(inc)) and 2 Pflex and decreased thereafter to 1.5 times Pflex and Pflex (termed 1.5 Pflex(dec) and Pflex(dec)). Hourly measurements of respiratory and hemodynamic variables as well as computed tomography scans at the apex and base were made.

Results

High-frequency oscillatory ventilation at a P(aw) of 1.5 Pflex(inc) reestablished preinjury arterial oxygen tension values. Further increase in P(aw) did not change oxygenation, but it decreased oxygen delivery as a result of decreased cardiac output. No differences in respiratory or hemodynamic variables were observed when comparing HFOV at corresponding P(aw) during increasing and decreasing P(aw). Variation in total slice lung volume (TLVs) was far less than expected from the static P-V curve. Overdistended lung volume was constant and less than 3% of TLVs. TLVs values during HFOV at Pflex, 1.5 Pflex(inc), and 2 Pflex were significantly greater than TLVs values at corresponding tracheal pressures on the inflation limb of the static P-V curve and located near the deflation limb. In contrast, TLVs values during HFOV at decreasing P(aw) (i.e., 1.5 Pflex(dec) and Pflex(dec)) were not significantly greater than corresponding TLV on the deflation limb of the static P-V curves. The marked hysteresis observed during static P-V curve recordings was absent during HFOV.

Conclusions

High-frequency oscillatory ventilation using P(aw) set according to a static P-V curve results in effective lung recruitment, and slice lung volumes during HFOV are equal to those from the deflation limb of the static P-V curve at equivalent pressures.

MECHANICAL ventilation may augment lung injury and contribute to the systemic inflammatory response in patients with acute respiratory distress syndrome (ARDS). 1,2To avoid ventilator-associated lung injury, current recommendations focus on the avoidance of both alveolar overdistention and alveolar collapse and reexpansion as well as achieving and maintaining alveolar recruitment. 3–5 

High-frequency oscillatory ventilation (HFOV) represents a ventilatory strategy that theoretically achieves all the goals of lung-protective ventilation. 6,7As discussed by Froese, 6the ventilating pressure during HFOV should be kept above the lower inflection point, and the peak alveolar pressure should be kept below the upper inflection point on the inflation limb of the pressure–volume (P-V) curve of the respiratory system. Consequently, ventilator-associated lung injury might be attenuated using these boundaries. HFOV oscillates the lung around a constant mean airway pressure (Paw) that is higher than that usually applied during conventional ventilation. Although the oscillations may cause significant proximal and tracheal pressure swings, these pressure fluctuations are significantly attenuated at the alveolar level. 8,9 

Oxygenation during HFOV is primarily affected by Paw, 10,11with the initial setting usually determined by the Pawduring conventional ventilation. During the recent Multicenter Oscillatory Ventilation for Acute Respiratory Distress Trial, for example, initial Pawduring HFOV was set 5 cm H2O above Pawduring conventional ventilation immediately before conversion to HFOV. 12 

Hypothesizing that a safe range of ventilatory pressures can be predicted from a static P-V relation, aims of the current study were to (1) examine the respiratory and hemodynamic effects of setting Pawduring HFOV according to the static P-V curve, (2) assess the effect of increasing and decreasing Pawon slice volumes and aeration patterns at the lung apex and base using computed tomography (CT), and (3) study the suitability of the P-V curve to set Pawby comparing CT findings during HFOV with those obtained during recording of the static P-V curve at comparable pressures.

Animals and Instrumentation

The study was approved by the Institutional Review Board for the care of animal subjects (University of Heidelberg, Mannheim, Germany). The care and handling was in accord with National Institutes of Health guidelines for ethical animal research. Seven anesthetized domestic pigs (mean weight, 45.9 ± 4.8 kg) were used for the study.

The animals were premedicated with 6 mg/kg azaperone intramuscularly. Anesthesia was induced with 4 mg/kg ketamine intravenously using an ear vein. With the pig breathing spontaneously, a mid-line neck incision was performed. The trachea was isolated and cannulated using a 9-mm-ID cuffed endotracheal jet tube (Hi-Lo Jet®; Mallinckrodt Medical, St. Louis, MO), which provides an additional lumen embedded in the inner wall of the tube. That lumen opens at the carinal end of the tube and was used for tracheal pressure monitoring. After the airway was secured, an additional 3-mg/kg bolus of ketamine along with 6 mg pancuronium was given. Anesthesia and muscle relaxation were maintained by continuous infusion of ketamine (10 mg · kg−1· h−1), midazolam (1 mg · kg−1· h−1), and pancuronium (0.12 mg · kg−1· h−1) throughout the experiment. The animals were placed in a supine position and ventilated with a Siemens Servo Ventilator 300 (Siemens-Elema AB, Solna, Sweden) in the volume-controlled mode with a positive end-expiratory pressure (PEEP) of 5 cm H2O, an inspiratory:expiratory ratio of 1:2, and a fraction of inspired oxygen (Fio2) of 1.0. A tidal volume of 12 ml/kg and a respiratory rate of 12–14 breaths/min were applied to maintain an arterial carbon dioxide tension (Paco2) value within the range of 40–50 mmHg. Distal tracheal pressure was measured by connecting an air-filled pressure transducer (Novotrans II; Medex, Hilliard, OH) to the lumen ending at the tip of the tube.

Initially, a continuous infusion of lactated Ringer's solution at a rate of 2 ml · kg−1· h−1was given and increased up to 4 ml/h as indicated by cardiac filling pressures. Gastric emptying was achieved using a large bore orogastric tube, which was removed thereafter.

Central venous and pulmonary artery pressures were measured using a 7.5-French flow-directed thermodilution fiberoptic pulmonary artery catheter (Opticath®; Abbott Laboratories, North Chicago, IL) advanced into the pulmonary artery under transduced pressure guidance via  the right internal jugular vein. The right carotid artery was cannulated with a 20-gauge catheter (Vygon, Ecouen, France) for blood sampling and arterial pressure monitoring. Continuous electrocardiographic monitoring was performed. For hemodynamic monitoring, a Sirecust 1281 monitor (Siemens Medical Electronics, Danvers, MA) and Novotrans II pressure transducers referenced to atmospheric pressure at the mid-thorax level were used. All hemodynamic and ventilatory variables were recorded in 1-min intervals via  the digital serial RS-232 interface using the custom-made software package MIDAS (Mannheim Intensive Care Data Acquisition System, developed by our group) based on the graphic programming language G (LabVIEW 6.1®; National Instruments, Austin, TX). Cardiac output was measured in triplicate using the pulmonary artery catheter by injecting 10-ml aliquots of ice-cold saline into the right atrium. Arterial and mixed venous blood gases were analyzed on an ABL300 (Radiometer A/S, Copenhagen, Denmark).

Recording of Static P-V Curves

Before each P-V curve, a recruitment maneuver was performed by inflating the lungs with a pressure of 40 cm H2O for 15 s to standardize lung volume history and conditions among the animals.

After disconnection from the ventilator for 10 s, allowing complete exhalation to the resting volume of the respiratory system, a calibrated 1.5-l syringe was connected to the endotracheal tube. Static P-V curves were obtained by inflating the lungs in 100-ml increments up to 1,400 ml or until a maximum static pressure of 50 cm H2O was reached. The lungs were deflated in an identical way immediately thereafter, and the procedure was stopped when a pressure of 0 cm H2O was reached.

After each volume increment or decrement, a 5-s pause was held to obtain static pressure estimates and to obtain a CT scan at a fixed level at the lung apex or base (see below). During recording of the static P-V curves, all analog pressure signals were filtered, sampled, conditioned, and passed back to a single plug-in board for acquisition directly to the PC memory using a front-end signal conditioning system (SCXI-1000; National Instruments). The analog signals were amplified with a four-channel isolation amplifier with excitation (SCXI-1121), digitized with a multifunction analog–digital converter board (AT-MIO board; sample rate, 300 Hz; resolution, 12 bit), digital filtered with a low-pass Bessel filter (corner frequency, 75 Hz), and stored on hard disk. The pressure and volume signals were recorded and analyzed using the custom-made software package MIDAS (created by Peter Herrmann, Ph.D., Biomedical Engineer, Department of Anesthesiology and Intensive Care Medicine, University Hospital of Mannheim, University of Heidelberg, Mannheim, Germany). The user manually accepted each data point when the pressure signal had reached a quasi–static state level. No corrections for changes in temperature and humidity or oxygen consumption were made for inflation or deflation volume data because of the absence of reliable data for pigs. The lower inflection point (Pflex) was recorded as the pressure at the intersection of the linear extrapolations of the initial and the most compliant portions of the curve within the tidal volume range. 13,14 

Lung Imaging and Image Analysis

The Imatron C-150XP EBCT scanner (Imatron, San Francisco, CA) was used for the study. Volumetric data sets are acquired with the EBCT scanner by firing electrons at one of four stationary target rings at a rate of 100 ms/sweep together with continuous table motion with up to 30 mm/s. Image reconstruction allows averaging of up to 20 sweeps, resulting in an effective exposure time up to 200 ms (1,240 mA). For CT scanning of the whole lung, the ventilator was switched to the pressure-control mode. The pressure level was set at 40 cm H2O, and the PEEP level was set at zero. Before each scan, a recruitment maneuver was performed as described above. After an initial scout image, scans of the whole lungs were performed within 14–17 s during end-expiratory hold at zero PEEP and during end-inspiratory hold at 40 cm H2O (collimation, 3 mm; table feed, 4–5 mm; reconstruction interval, 2–2.5 mm; scan length, 28–35 cm; 130 kV; 128 mA; exposure time, 200 ms/image). For P-V curves and imaging during HFOV, single-slice scanning was performed at two discrete anatomic locations: the lung apex and the lung base. The table locations at these positions were selected from the preceding whole-lung image series during end-expiratory hold, with care taken not to move the animal after the initial scanning. For single-slice scanning after each 100-ml volume step during recording of the P-V curves, the following parameters were used: collimation, 3 mm; 130 kV; exposure time, 100 ms/image. For single-slice scanning during HFOV, the exposure time was extended to 600 ms/image. Because we performed HFOV at a frequency of 4 Hz throughout the study, an “average image” spanning at least two HFOV cycles was obtained. In addition, some scans during HFOV were obtained in the so-called movie mode (a series of 20 images obtained over 2.2 s) to estimate the cycle-induced changes in slice volume compared to the average image. A representative movie-mode sequence and average image are shown in figure 1.

Fig. 1. Slice lung volumes at lung base during high-frequency oscillatory ventilation (mean airway pressure = 1.5 Pflexinc) obtained by “movie-mode” scanning (20 images within 2.2 s, 0.1-s scan time). The single data points  on the right denote the corresponding slice lung volumes obtained during “average” imaging (scan time 0.6 s) used in the study. Vgas = slice gas volume; Vtiss = slice tissue volume; Vtot = total slice lung volume.

Fig. 1. Slice lung volumes at lung base during high-frequency oscillatory ventilation (mean airway pressure = 1.5 Pflexinc) obtained by “movie-mode” scanning (20 images within 2.2 s, 0.1-s scan time). The single data points  on the right denote the corresponding slice lung volumes obtained during “average” imaging (scan time 0.6 s) used in the study. Vgas = slice gas volume; Vtiss = slice tissue volume; Vtot = total slice lung volume.

Close modal

Image Analysis

The original 16-bit cross-sectional DICOM images were processed and analyzed using the custom-made software package MALUNA (Mannheim Lung Analyzing Tool, developed by our group) based on the graphic programming language G (LabVIEW 6.1®, ImaqVision). With manual tracing by eye, the external boundary along the inside of the ribs and the internal boundary along the mediastinal organs and the stomach were drawn for each CT image. All structures not belonging to the lung structure (i.e. , mediastinum at the apex and stomach at the lung base) were excluded from further analysis to achieve automated workup. The images were divided into square pixels (size, 0.46 mm2), and the Hounsfield attenuation of each pixel was computed. After multiplying the square pixels with the slice thickness, the total lung volume of each slice was divided into voxels (volume, 1.84 mm3). Voxels were distributed into 100 compartments ranging from −1,000 to + 300 Hounsfield units (HU), with a 13-HU range for each compartment. Absolute lung volumes for each compartment were computed by adding the corresponding voxels. The total lung volume for each slice was obtained by adding the lung volume of each compartment. Because the mean CT number of a given lung volume correlates with the respective proportion of gas and tissue within this lung volume, gas and tissue volumes can be calculated. In the first step, the volume of gas and tissue for each compartment of 13 HU was computed as gas volume = volume × CT/−1,000, and tissue volume = volume × (1 − CT/−1,000), where CT is the mean CT number of the compartment analyzed. In the second step, the volume of gas and volume of tissue for the whole lung were calculated by adding the values of the volumes of gas and the volumes of tissue obtained for each compartment of 13 HU. 15 

To differentiate lung zones with different degrees of aeration, the entire lung was divided into four areas according to Hounsfield unit attenuation: pulmonary parenchyma with densities ranging from −1,000 to −900 HU was classified as overinflated, −900 to −500 HU was classified as normally aerated, −500 to −100 HU was classified as poorly aerated, and −100 to +300 HU was classified as nonaerated (atelectatic). 15 

Experimental Protocol

The pigs were intubated and placed in a supine position in the CT scanner. After instrumentation had been completed and an initial recruitment maneuver had been performed, baseline values were obtained, including arterial and mixed venous blood gases, arterial and pulmonary arterial pressures, central venous pressure, pulmonary artery wedge pressure, and cardiac output. A static P-V curve was recorded as described above. Lung injury was then produced by bilateral lung lavage. The endotracheal tube was disconnected from the ventilator, and warmed saline was instilled from a height of 50 cm until a meniscus was seen in the tube. The fluid was retrieved via  gravity drainage after 45 s of apnea followed by endotracheal suctioning. Between the lavages, the pigs were manually ventilated with an Fio2of 1 using an AMBU® self-inflating bag (Ambu Inc., Linthicum, MD). The lavage process was repeated until adequate impairment of gas exchange (defined as arterial oxygen tension [Pao2] < 200 mmHg, 15 min after the last lavage) was achieved. After lung lavage, lung injury was established by ventilating the pigs with a low end-expiratory pressure of 5 cm H2O for 60 min.

Thereafter, another set of measurements (injury) was obtained. A recruitment maneuver was performed, and CT scans of the entire lungs were obtained at end expiration (zero end-expiratory pressure) and end inspiration (40 cm H2O) as described above. Appropriate levels for apex and base scans were identified from the end-expiratory scan and used for single-slice scanning during the P-V curve recordings and during HFOV.

After another recruitment maneuver, a P-V curve along with single-slice scanning at the lung base for each volume step was recorded as described above. Pflex was determined from the tracheal pressure curve. The recruitment maneuver was repeated, and a corresponding P-V curve along with CT scans at the apex of the lung was recorded. Again, Pflex was determined, and the mean value of Pflex was calculated. The pigs were then ventilated with HFOV. Settings of the oscillator (3100B; SensorMedics, Yorba Linda, CA) were as follows: Fio2, 1.0; bias flow, 30 l/min; frequency, 4 Hz; pressure amplitude, 60 cm H2O; inspiratory:expiratory ratio, 1:1. These settings remained unchanged throughout the study unless higher bias flows were necessary to achieve the appropriate Paw. Initially, Pawwas set at Pflex. Tracheal pressure readings were used throughout the study to adjust Paw. The pigs were provided with five 1-h cycles of HFOV. Paw, first set at Pflex, was increased to 1.5 times Pflex (termed 1.5 Pflexinc ) and 2 Pflex, and decreased thereafter to 1.5 Pflex and Pflex (termed 1.5 Pflexdec  and Pflexdec ).

Hourly measurements of arterial and mixed venous blood gases and hemodynamics, as well as CT scans at the apex and base, were made at each Pawstudied. After completion of the study, all animals were killed by a bolus dose of thiopental and potassium chloride.

Statistical Analysis

All values are reported as mean ± SD unless otherwise specified. One-way analysis of variance for repeated measurements followed by multiple comparisons (Tukey test) was used to test for differences among baseline conditions, injury, and different levels of Pawduring HFOV. Paired t  tests were used to test for differences between lung volumes before and after injury as well as for differences between slice lung volumes and densities during HFOV and corresponding volume steps during acquisition of the static P-V curve. All statistical tests were used in a descriptive manner. Statistical software package SAS 6.12 (SAS Institute Inc., Cary, NC) was used for analysis, and a P  value of 0.05 was considered statistically significant.

Lung Injury

The average number of lung lavages needed to establish lung injury was 4 ± 1. Saline lung lavage decreased arterial oxygen partial pressure (P < 0.01), increased transpulmonary shunt (P < 0.01), and increased Paw(P < 0.01). Consequently, the oxygenation index (OI = Paw× Fio2× 100/Pao2) increased from 1.5 ± 0.2 to 8.6 ± 5.6 (P < 0.01;table 1). Total lung volumes during end-expiratory and end-inspiratory hold are shown in table 2. Saline lung lavage decreased total lung volume and gas volume, whereas lung tissue volume and mean density increased (P < 0.05). The changes induced by saline lung lavage are illustrated in figure 2, showing a selection of six CT sections from apex to base at end-expiratory and end-inspiratory hold. Mean P-V curves at baseline and after injury are shown in figure 3. The P-V curve after lung injury revealed a Pflex of 20 ± 2.9 cm H2O and showed marked hysteresis.

Table 1. Hemodynamic and Respiratory Data at Baseline, after Injury, and during HFOV at Different Paws

*P < 0.01 vs.  baseline.

P < 0.01 vs.  injury.

P < 0.01 vs.  Pflexinc.

§P < 0.01 vs.  Pflexdec.

P < 0.01 vs.  1.5 Pflex (inc and dec).

CO = cardiac output; dec = decrease; Ḋo2= oxygen delivery; Fio2= fraction of inspired oxygen; HFOV = high-frequency oscillatory ventilation; HR = heart rate; inc = increase; MAP = mean arterial pressure; MPAP = mean pulmonary artery pressure; OI = oxygenation index, calculated as Paw× Fio2× 100/Pao2; Paco2= arterial partial pressure of carbon dioxide; Pao2= arterial partial pressure of oxygen; Paw= mean airway pressure; Pflex = inflection point; Qs/Qt= transpulmonary shunt.

Table 1. Hemodynamic and Respiratory Data at Baseline, after Injury, and during HFOV at Different Paws
Table 1. Hemodynamic and Respiratory Data at Baseline, after Injury, and during HFOV at Different Paws

Table 2. Whole Lung Volumes before and after Injury

*P < 0.05 vs.  before injury.

CT = computed tomography; End-expiration = end-expiratory hold at zero end-expiratory pressure; end-inspiration = end-inspiratory hold at Paw40 cm H2O; HU = Hounsfield unit; non = nonaerated lung volume; norm = normally aerated lung volume; over = overaerated lung volume; poor = poorly aerated lung volume; TLV = total lung volume.

Table 2. Whole Lung Volumes before and after Injury
Table 2. Whole Lung Volumes before and after Injury

Fig. 2. Selection of computed tomography sections obtained after lung lavage at end-expiratory hold (zero end-expiratory pressure, left ) and end-inspiratory hold (mean airway pressure = 40 cm H2O, right ) in one representative animal showing the diffuse loss of aeration involving all regions including the apex.

Fig. 2. Selection of computed tomography sections obtained after lung lavage at end-expiratory hold (zero end-expiratory pressure, left ) and end-inspiratory hold (mean airway pressure = 40 cm H2O, right ) in one representative animal showing the diffuse loss of aeration involving all regions including the apex.

Close modal

Fig. 3. Static pressure–volume curves before and after injury (mean ± SD).

Fig. 3. Static pressure–volume curves before and after injury (mean ± SD).

Close modal

Pulmonary Gas Exchange and Hemodynamics

Baseline and postinjury values during conventional ventilation (PEEP, 5 cm H2O; Fio2, 1.0) are shown in table 1. Paco2increased after injury (P < 0.05), resulting in moderate acidosis (P < 0.05).

With application of HFOV starting at Pawset at Pflex, normocapnia was reestablished and maintained with pressure amplitudes of 60 cm H2O (table 1). Increasing Pawto 1.5 Pflexincand 2 Pflex significantly increased the arterial partial oxygen pressure (498 ± 104 mmHg at 1.5 Pflexinc, P < 0.01 vs.  after injury, and 563 ± 48 mmHg at 2 Pflex, P < 0.01 vs.  after injury and Pflexinc) and decreased venous admixture (QS/QT) as a result of the decrease in cardiac output (3.4 ± 1.0 l/min at 1.5 Pflexincand 3.1 ± 0.8 l/min at 2 Pflex vs.  6.6 ± 2.1 l/min after injury, P < 0.01); however, oxygen delivery also decreased. Doubling Pawsignificantly increased Pao2(P < 0.01) but did not improve oxygen delivery. Decreasing Pawfrom 2 Pflex to 1.5 Pflexdecdid not alter gas exchange or hemodynamics. Further decrease in Pflexdeconly resulted in a slight decrease in Pao2(P < 0.01 vs.  2 Pflex). No differences in respiratory or hemodynamic variables were observed when comparing HFOV at corresponding airway pressures (i.e. , Pflexincvs.  Pflexdecand 1.5 Pflexincvs.  1.5 Pflexdec).

Lung Volumes at Apex and Base during HFOV

Total lung, air, and tissue volumes at the lung apex and the lung base are shown in table 3. At the lung apex, the total slice lung volume (TLVs) increased from 8.3 ± 3.1 ml at Pflexincto 9.4 ± 3.6 ml at 1.5 Pflexinc(P < 0.01). Increasing Pawto 2 Pflex further increased TLVsto 10.3 ± 3.6 ml (P < 0.01 vs  1.5 Pflexinc). Decreasing Pawto 1.5 Pflexdecdid not alter TLVs, whereas further decrease in Pflexdecdecreased TLVs. Of note, TLVsat Pflexdecwas significantly greater than TLVsat Pflexinfl(P < 0.01). Because tissue volumes did not change with varying Paw, all changes observed in TLVswere attributable to parallel changes in gas volume. Radiologic density, expressed as mean Hounsfield units, decreased with increasing Paw(P < 0.01) and increased with decreasing Paw(P < 0.01 vs.  2 Pflex). Mean Hounsfield units were comparable for corresponding levels of Pawduring inflation and deflation. Overdistended lung volume was very small and did not change with varying Paw.

Table 3. Lung Volumes and Mean CT Numbers at Lung Apex and Base during HFOV at Different Paws

*P < 0.01 vs.  inc.

P < 0.01 vs.  1.5inc.

P < 0.01 vs.  Pflexdec.

§P < 0.01 vs.  1.5 dec.

CT = computed tomography; dec = decrease; HFOV = high-frequency oscillatory ventilation; HU = Hounsfield unit; inc = increase; over = overdistended lung volume; Pflex = inflection point; poor/non = poorly and nonaerated lung volume; TLV = total slice lung volume.

Table 3. Lung Volumes and Mean CT Numbers at Lung Apex and Base during HFOV at Different Paws
Table 3. Lung Volumes and Mean CT Numbers at Lung Apex and Base during HFOV at Different Paws

At lung base, TLVsincreased from 43.5 ± 7.6 ml at Pflex to 46 ± 8.3 ml at 1.5 Pflexinc(P < 0.01). Increasing Pawto 2 Pflex further increased TLVsto 48.6 ± 8.2 ml (P < 0.01 vs.  1.5 Pflexinc). Decreasing Pawto 1.5 Pflexdecdid not alter TLVs, whereas further decrease to Pflexdecdecreased TLVs(P < 0.01). TLVsat 1.5 Pflexdecwas significantly greater than TLVsat 1.5 Pflexinc(P < 0.01), whereas no differences were found for TLVsat Pflex and Pflexdec. Other than at the lung apex, the lung tissue volume decreased with increasing Paw(19.6 ± 2.3 ml at Pflex to 16.4 ± 2.5 ml at 1.5 Pflexincand 15.5 ± 2 ml at 2 Pflex, P < 0.01) and again increased with decreasing Paw. Mean tissue volumes were comparable for corresponding levels of Pawduring inflation and deflation. Poorly and nonaerated lung volume significantly decreased (15.4 ± 7.1 ml at Pflex vs.  6.2 ± 1.2 ml at 1.5 Pflexinc, P < 0.01). Further increase to 2 Pflex did not change poorly and nonaerated lung volume. Again, poorly and nonaerated lung volumes, as well as mean Hounsfield units, were comparable for corresponding levels of Pawduring inflation and deflation.

Lung Volumes and Mean Radiologic Densities during Static P-V Curves and HFOV

Pressure–slice volume curves for the lung apex and the lung base are shown in figure 4. Corresponding slice volumes obtained during HFOV are shown in table 3. Total lung volumes during HFOV at Pflex, 1.5 Pflexinc, and 2 Pflex were significantly greater than total lung volumes at corresponding tracheal pressures on the inflation limb of the static P-V curve (P < 0.05, paired t  tests) and in close proximity to the deflation limb. In contrast, TLVsvalues during HFOV at decreasing Paw(i.e. , 1.5 Pflexdecand Pflexdec) were not significantly greater than corresponding TLVsvalues on the deflation limb of the static P-V curves. The marked hysteresis observed during static P-V curve recordings was absent during HFOV.

Fig. 4. Pressure–slice volume curves obtained at lung apex and base. Mean slice lung volumes during high-frequency oscillatory ventilation are added (table 3). Note that for reasons of readability, slice volumes are displayed as mean ± SEM. *P < 0.05, slice volume during high-frequency oscillatory ventilation versus  slice volume at the corresponding tracheal pressure level during static pressure–volume recording.

Fig. 4. Pressure–slice volume curves obtained at lung apex and base. Mean slice lung volumes during high-frequency oscillatory ventilation are added (table 3). Note that for reasons of readability, slice volumes are displayed as mean ± SEM. *P < 0.05, slice volume during high-frequency oscillatory ventilation versus  slice volume at the corresponding tracheal pressure level during static pressure–volume recording.

Close modal

By plotting the mean Hounsfield units of the slice volumes shown in figure 4,versus  the resulting tracheal pressure, pressure–density curves were obtained and are shown in figure 5. Except from Pflex at the lung base, the mean Hounsfield units during HFOV at increasing Pawwere significantly different from the corresponding values obtained from the inflation limb of the static P-V curves (P < 0.05, paired t  tests). As for the pressure–slice volume curves, mean Hounsfield units during HFOV at decreasing Pawwere not significantly different from the corresponding Hounsfield units on the deflation limb of the static P-V curves. Again, the marked hysteresis observed during static P-V curve recordings was absent during HFOV. As with slice volumes, the mean Hounsfield units during the entire HFOV cycle were in close proximity to the deflation limb of the static P-V curve.

Fig. 5. Pressure–slice density curves obtained at lung apex and base (mean ± SD). Mean slice densities during high-frequency oscillatory ventilation are added (table 3). *P < 0.05, mean Hounsfield units (HU) during high-frequency oscillatory ventilation versus  mean Hounsfield units at the corresponding tracheal pressure level during static pressure–volume recording.

Fig. 5. Pressure–slice density curves obtained at lung apex and base (mean ± SD). Mean slice densities during high-frequency oscillatory ventilation are added (table 3). *P < 0.05, mean Hounsfield units (HU) during high-frequency oscillatory ventilation versus  mean Hounsfield units at the corresponding tracheal pressure level during static pressure–volume recording.

Close modal

The main findings of this study can be summarized as follows: (1) In moderate saline washout–induced lung injury, HFOV using Pawincreased and decreased according to the static P-V curve leads to effective lung recruitment. (2) HFOV results in higher lung volume than that of the equivalent pressure on the inflation static P-V curve, and starting HFOV with Pawalready set at the lower inflection point already in lung volumes equal to those observed on the deflation limb of the static P-V curve. (3) The marked hysteresis observed on static P-V curves is almost absent during HFOV.

Mean Airway Pressure during HFOV

During HFOV, Pawis the primary variable affecting oxygenation and is set independent of other variables on the oscillator. Because distal airway pressure changes during HFOV are minimal, 8,9the Pawduring HFOV can be viewed in a manner similar to the PEEP level in conventional ventilation. 16The optimal Pawcan be considered as a compromise between maximal lung recruitment and minimal overdistention. To determine lung recruitment, CT is the preferred diagnostic tool, but it is not available at bedside. 17Therefore, two different strategies have been suggested recently to determine the optimal Pawduring HFOV, using the static P-V curve 16or the OI. 17 

Goddon et al.  16suggested that the Pawthat results in optimal oxygenation should be predictable from the P-V curve in a manner similar to that observed in conventional ventilation. During measurement of the P-V curve, it has recently been shown that recruitment occurs throughout inflation, 18–20reflecting the high opening pressures of many lung units in acute lung injury. The function of PEEP, especially in the surfactant-deficient lung, is to prevent alveolar and small airway pressures from falling below their closing pressures at end expiration, preventing the collapse of units that were inflated at end inspiration. 21Because significant interrelations have been shown between PEEP and tidal volume in determining recruitment, 19,22the lack of tidal volume recruitment may be the reason for the postulated need for higher Pawduring HFOV to optimize oxygenation. 16,Figure 1displays an example of the minimal slice volume changes during HFOV with a proximal pressure amplitude of 60 cm H2O and emphasizes the fact that during HFOV, tidal recruitment as seen during conventional ventilation may be negligible. Goddon et al. , 16also using a saline washout model of lung injury, therefore applied four 1-h cycles of HFOV at different levels of Pawin random order, ranging from Pflex plus 2 cm H2O to Pflex plus 14 cm H2O. Each cycle was preceded by a recruitment maneuver at a sustained Pawof 50 cm H2O for 60 s. The authors found that HFOV with Pawset at Pflex plus 6 cm H2O resulted in a significant improvement in oxygenation. No further improvement was observed with higher Paw, but cardiac output and oxygen delivery decreased. We used a different strategy to examine the effects of Pawfor two reasons. First, we are somewhat concerned about the safety of the recruitment maneuver used in that study and instead favor the approach of a stepwise increase in Pawto open the lung and a stepwise decrease in Pawto keep the lung open. Second, to make sure that recruitment is complete, we used a wider variation in Pawto span the entire range of the static P-V curve, from the lower to the upper inflection point. Because we were somewhat limited in the number of different Pawlevels to be tested during HFOV, for technical reasons, we cannot derive a conclusion regarding the optimal Pawbecause there was a large difference of 10 cm H2O between the levels of Pawstudied. However, bearing these differences and limitations in mind, one can compare our results at least partially with those obtained by Goddon et al.  16Using oxygenation and oxygen delivery as main variables, we could also show that setting Pawabove Pflex (i.e. , from Pflexincto Pflex + 10 cm H2O or 1.5 Pflexinc) resulted in improved oxygenation. Beyond a critical level of Paw(i.e. , at Pflex + 20 cm H2O or 2 Pflex), no significant improvements in oxygenation were obtained, but cardiac output and oxygen delivery became compromised. However, the design of our study allowed us to take advantage of the marked hysteresis of the P-V curve after injury: We deliberately used the 1-h HFOV at a Pawof 2 Pflex to complete lung recruitment. Because a QS/QTof less than 0.1 has been used as a marker for a completely recruited lung, 17,23we probably were able to study the “antiderecruiting” effect 21of Pawwhen decreasing Pawfrom 2 Pflex to 1.5 Pflexdecand Pflexdec. Expectedly, decreasing Pawto 1.5 Pflexdecdid not alter oxygenation variables, and only a slight decrease in Pao2was observed at Pflexdec. Aiming at maintaining a completely recruited lung, we would therefore speculate that optimal Pawin our model might be in close proximity to 1.5 Pflexdec. Of note, 1.5 Pflexdecis located around the maximal curvature on the deflation limb, confirming the findings by Goddon et al. , 16who also showed that the point of maximal curvature on the deflation limb was equal to the optimal Paw(Pflex + 6 cm H2O).

Van Genderingen et al.  17used the OI (OI = Paw× Fio2× 100/Pao2) to identify the optimal Pawduring HFOV. The OI has been used to assess the severity of illness in pediatric patients during HFOV 24and combines the goals to maximize arterial oxygenation and minimize Pawand inspired oxygen concentration. Using saline washout injury in piglets, HFOV was started at Pawset 3 cm H2O above the mean airway pressure during conventional ventilation and increased in steps of 3 cm H2O until Pao2was more than 450 mmHg. Then, it was lowered accordingly until Pao2was less than 80 mmHg. The OI value reached a minimum of 6.2 ± 1.4 at Pawof 30 ± 4 cm H2O during inflation and a minimum of 2.4 ± 0.3 at Pawof 13 ± 2 cm H2O during deflation. Although the minimum OI value during inflation was comparable to the values observed in our study (minimum OI value, 6.0 ± 1.6 at 1.5 Pflexdec), those authors observed a significantly wider range of OI values (32 ± 10 through 2.4 ± 0.3), a smaller OI value during deflation, and greater differences between inflation and deflation values. However, the reasons for these differences are readily explained. First, the lung injury was apparently more severe than the moderate injury produced in our study. Second, the large tidal volumes (17.1 ± 0.9 ml/kg) used during conventional ventilation in their study may have contributed to the high initial OI value. Third, the smaller OI values during deflation were probably at least partially related to the smaller size of the animals (12 vs.  46 kg), resulting in less superimposed pressure due to smaller sternovertebral dimensions. Fourth, and probably most important, the large hysteresis observed in their study is most likely attributable to the short stabilization time (10 min) allowed. Therefore, the authors concluded that longer stabilization times may have resulted in a smaller hysteresis effect because progressive recruitment may have increased oxygenation on the inflation limb and derecruitment may have decreased oxygenation on the deflation limb. 17The 1-h interval used in our study probably explains the absence of significant differences in oxygenation or OI values at comparable Pawlevels during inflation and deflation.

Lung Volumes at Apex and Base during HFOV

Using CT, we were able to analyze the morphologic relations between findings obtained during static P-V recording and dynamic HFOV at comparable tracheal pressures. Unfortunately, scanning of the entire lung during recording of the P-V curve is not feasible; therefore, we limited all analyses to two slices, the lung apex and the lung base. These positions were selected to account at least partially for the steep craniocaudal gradient observed in saline washout–injured lungs, with the lung apex being more prone to overdistention and the lung base showing more severe atelectasis. Making general assumptions on recruitment based on the analysis of a single juxtadiaphragmatic section may be problematic, as shown by Malbouisson et al. , 25who found no correlation between PEEP-induced recruitment and changes in Pao2, a finding that is most probably a result of the cephalocaudal gradient of recruitment in injured lungs. In addition, imaging at a fixed table position when encountering large ranges of lung volumes can result in imaging a slightly different anatomic lung region during each condition. 26This problem of displacement has been specifically assessed by comparing the CT slice at HFOV at different Pawlevels to the whole-lung studies. Whereas there was virtually no displacement at the lung apex, we found displacement up to 1.2 cm at the lung base over the range of pressures studied. However, the resulting error in volume or density was found to be too small to alter the results obtained (data not shown). As the degree of displacement was almost identical for comparable pressures during HFOV and P-V recording, differences observed during static P-V recordings and HFOV cannot be attributed to the problem of displacement. Bearing in mind these limitations, we still believe that scanning at two discrete anatomic locations allows some conclusions about volume changes, risk of overdistention, and potential recruitment. Scanning during HFOV at 4 Hz poses some additional problems: Despite the fact that alveolar pressures are known to be small during HFOV and large tidal volume changes observed during conventional ventilation are absent, we aimed at acquiring “comparable” images during different conditions. Therefore, we decided to use “average” images obtained over 0.6 s, thereby spanning at least two HFOV cycles. To validate this approach, we performed additional images in the movie mode; by obtaining 20 images within 2.2 s, we could study cycle-induced volume changes. As displayed in figure 1, cycle-induced changes were small, as expected, and we consider the analysis of average images a valid tool to study lung volume and morphology during HFOV.

Slice lung volumes at the apex and base expectedly increased with increasing Pawand decreased with decreasing Paw. The findings on lung volumes were compatible with those on oxygenation parameters discussed above. Although the high inflation pressures of 40.9 ± 5.9 cm H2O during Pawof 2 Pflex may raise concerns about potential overinflation, we were not able to show increasing overdistention during increase of Paw. Overall overdistention was less than three percent of TLV at apex and base throughout the study. However, these findings deserve a word of caution: As pointed out by Puybasset et al. , 27the CT attenuation number threshold of −900 HU characterizing lung overdistention was determined in healthy volunteers but may underestimate overdistention in the diseased lung. The spatial resolution of CT is rather low because a voxel contains up to 3,000 alveoli. Therefore, one cannot exclude that a voxel with a CT attenuation greater than −900 HU contains overdistended alveoli in a proportion that could be insufficient to reduce its radiologic density to less than −900 HU. Poorly and nonaerated lung volume significantly decreased beyond Pflex, again emphasizing the concept of ongoing recruitment above the lower inflection point. 18–20Decreasing Pawfrom 1.5 Pflexdecto Pflexdecled to a significant increase in poorly and nonaerated lung volume, supporting the finding that optimal Pawin our model may be around 1.5 Pflexdec.

Relations between Lung Volumes and Radiologic Density Obtained during Static P-V Curves and during HFOV

The static P-V curves were acquired using the supersyringe technique, which has been largely used to describe the modifications of the elastic properties of the respiratory system related to the severity and stage of ARDS. 28This method has drawbacks and limitations that have been well described but still represents one of the accepted methods to study P-V relations, especially in the experimental setting. 13Because no corrections were made to the P-V curve volume data for temperature, humidity, or oxygen consumption, CT slice lung volumes may somewhat underestimate the actual volumes compared to the slice lung volumes during HFOV. Although such corrections may be feasible for the whole-lung P-V curve (fig. 2), it is hardly possible to estimate the corrections necessary for actual slice volumes. The major findings when comparing slice volumes and densities at corresponding pressures during acquisition of static P-V curves and during HFOV are as follows. The marked hysteresis observed during static P-V conditions was almost absent during HFOV, and, during HFOV, volumes and densities were located toward or even beyond the deflation limb of the static P-V curve. The fact that higher lung volumes were obtained during HFOV than during static P-V recording at similar levels of airway pressure may be related to different causes. First, it cannot be ruled out that even measuring airway pressure at the distal end of the endotracheal tube may underestimate the true alveolar pressure because of differences in inspiratory and expiratory resistance and differences in pressure transmission to the distal lung through the complex branching pattern of the tracheobronchial tree. 29Second, HFOV may normalize the P-V curve by reopening the entire lung, as shown in a previous study on saline-lavaged rabbits. 30In addition, and probably most importantly, the time scale for the static P-V curve (around 2 min) and the HFOV P-V curve (5 h) were totally different. Therefore, time-dependent reopening of collapsed lung regions during the HFOV period may have normalized the static P-V curve. Starting HFOV at Pflex and ventilating the lung for 1 h already resulted in slice lung volumes that were not expected from the static P-V relation and might indicate progressive recruitment over time as described above. The minimization of hysteresis observed during further changes in Pawmay be due to the fact that after 60 min, Pflex was already close to open-lung Paw. 31Whether tidal recruitment during HFOV also contributed to results observed remains questionable. Although Sedeek et al.  32reported delivered tidal volumes of up to 4.4 ml/kg using identical HFOV settings in saline-lavaged sheep, we tend to be cautious in using those data to predict tidal volumes in our study for various reasons, such as difference in species and size (29 vs.  46 kg) of the animals and lack of gas exchange data given in that study. Based on the “dynamic” CT data obtained in this study, we would tend not believe that tidal recruitment was responsible for the results observed. The precise mechanisms remaining questionable, it has to be concluded that the “recruiting effect” of HFOV set at Pflex and applied to the lung for a sufficient amount of time is largely underestimated by the static P-V curve.

Limitations

The major limitation of this study is that it was performed on a saline washout injury model of ARDS and not in patients. ARDS in patients is rarely, if ever, solely a result of surfactant deficiency, 15and alveolar flooding rather than lung collapse is the predominating mechanism of the loss of aeration. In this setting, there may be less or no collapse and PEEP may reestablish lung aeration by displacing the gas fluid interface at the alveolar level. 33As a result, the response of the ARDS lung may be very different from that of the saline washout–injured lung, and the relation between volumes and aeration patterns at comparable tracheal pressures during static P-V analysis and HFOV may be different. Limiting CT analysis to two discrete anatomic positions must be considered as another drawback of this study as discussed above. The different time scales for the static P-V curve and the HFOV P-V curve also pose a limitation on this study because time-dependent reopening of collapsed lung regions during the HFOV period may have normalized the static P-V curve. However, that problem is inherent to each strategy using a P-V relation to adjust ventilator settings.

In the light of these limitations, the major findings of this study can be summarized as follows: (1) HFOV using Pawset according to the static P-V curve leads to effective and safe lung recruitment. (2) HFOV results in higher lung volume than that of the equivalent pressure on the inflation static P-V curve, and starting HFOV with Pawalready set at the lower inflection point already in lung volumes equal to those observed on the deflation limb of the static P-V curve. (3) The marked hysteresis observed on static P-V curves is almost absent during HFOV.

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