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J Appl Physiol 84: 2010-2019, 1998;
8750-7587/98 $5.00
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Vol. 84, Issue 6, 2010-2019, June 1998

Redistribution of pulmonary blood flow during unilateral hypoxia in prone and supine dogs

Christopher M. Mann1, Karen B. Domino1, Sten M. Walther1,2, Robb W. Glenny2,3, Nayak L. Polissar4, and Michael P. Hlastala2,3

Departments of 1 Anesthesiology, 2 Medicine, and 3 Physiology and Biophysics, University of Washington School of Medicine, Seattle 98195; and 4 The Mountain-Whisper-Light Statistical Consulting, Seattle, Washington 98112

    ABSTRACT
Top
Abstract
Introduction
Materials & Methods
Results
Discussion
References

We used fluorescent-labeled microspheres in pentobarbital-anesthetized dogs to study the effects of unilateral alveolar hypoxia on the pulmonary blood flow distribution. The left lung was ventilated with inspired O2 fraction of 1.0, 0.09, or 0.03 in random order; the right lung was ventilated with inspired O2 fraction of 1.0. The lungs were removed, cleared of blood, dried at total lung capacity, then cubed to obtain ~1,500 small pieces of lung (~1.7 cm3). The coefficient of variation of flow increased (P < 0.001) in the hypoxic lung but was unchanged in the hyperoxic lung. Most (70-80%) variance in flow in the hyperoxic lung was attributable to structure, in contrast to only 30-40% of the variance in flow in the hypoxic lung (P < 0.001). When adjusted for the change in total flow to each lung, 90-95% of the variance in the hyperoxic lung was attributable to structure compared with 70-80% in the hypoxic lung (P < 0.001). The hilar-to-peripheral gradient, adjusted for change in total flow, decreased in the hypoxic lung (P = 0.005) but did not change in the hyperoxic lung. We conclude that hypoxic vasoconstriction alters the regional distribution of flow in the hypoxic, but not in the hyperoxic, lung.

regional pulmonary blood flow; heterogeneity; gravitational gradient; hypoxic pulmonary vasoconstriction; fluorescence; microspheres

    INTRODUCTION
Top
Abstract
Introduction
Materials & Methods
Results
Discussion
References

THE PULMONARY CIRCULATION constricts in response to alveolar hypoxia, resulting in a dual response: an increase in pulmonary arterial pressure (Ppa) and diversion of blood flow away from hypoxic lung regions (18). The reduction of blood flow away from hypoxic alveoli toward normoxic alveoli preserves the matching of ventilation (VA) and perfusion (Q) in the lung and minimizes hypoxemia (5). In prior work, older techniques that measure average blood flow within large regions of the lung were used to examine the distribution of hypoxic pulmonary vasoconstriction (HPV)-induced flow diversion. Recently, imaging techniques (12-15) and radioactive-labeled (8-10, 21) or fluorescent-labeled microspheres (3, 9, 16, 23) have been used to study the distribution of pulmonary blood flow in small lung regions. These studies have questioned the overwhelming importance of the classic gravitational model (17, 22, 23, 26) and suggest that the resistive properties of the pulmonary vascular tree are primarily responsible for determining the distribution of pulmonary blood flow.

The overall dominance of the structure of the pulmonary arterial system in distributing blood flow (3, 9, 10, 16, 21, 25) leads to the belief that other factors, such as HPV, may also play a lesser role than had been previously appreciated. This study assessed the role of hypoxia administered to large lung regions (left lung) in changes in the distribution of blood flow in small (1.7-cm3) lung regions. The role of hypoxia was evaluated by comparing changes in patterns of blood flow distribution between the hypoxic and hyperoxic lungs. There are two components to the shift in pulmonary blood flow with HPV: 1) the increase in total blood flow to the hyperoxic right lung equal to the decrease in total blood flow to the hypoxic left lung and 2) the presence of alveolar hypoxia in the left lung and hyperoxia in the right lung. The HPV stimulus-response curve is sigmoidal in shape, with a maximal HPV response observed at <25 Torr alveolar PO2 (PAO2) and a 50% response at 55 Torr PAO2 (1, 19). Given the normal VA-Q heterogeneity in the lung, there will be local variations in PAO2 and the stimulus for HPV with resting VA/Q. We therefore tested the hypothesis that hypoxia alters the regional distribution of pulmonary blood flow beyond the effect of flow per se. If hypoxia shifts blood flow from the left lung to the right lung in proportion to flow alone, the relative decrease in flow in each region of the hypoxic lung will result in no change in the regional distribution of pulmonary blood flow and the structural component of flow determination. If the heterogeneity of hypoxic vasoconstriction contributes differently to the change in flow in different regions, then we would expect to find redistribution of blood flow and a smaller structural component of flow determination. Animals were studied in the supine and prone position, because posture-related differences are important in the dorsal-to-ventral gradient in the distribution of pulmonary blood flow (8, 9).

    MATERIALS AND METHODS
Top
Abstract
Introduction
Materials & Methods
Results
Discussion
References

Anesthesia and surgical preparation. The study was approved by the University of Washington Animal Care Committee. Eight dogs (weight 23.6 ± 1.9 kg) of mixed gender were anesthetized with pentobarbital sodium (30 mg/kg iv, supplemented with 30-90 mg every 20-30 min). The trachea was intubated, and the lungs were ventilated with a tidal volume of 15 ml/kg. Femoral and carotid arterial catheters, a pulmonary arterial catheter via the external jugular vein, and a femoral venous catheter were placed via peripheral cutdown. Mean systemic arterial pressure, mean Ppa, pulmonary arterial occlusion pressure, and airway pressure were measured continuously and recorded on a Western Graphtec Mach 12 data-management system (model DMS 1000) with Validyne amplifiers (Irvine, CA). Body temperature was maintained at 38 ± 1°C with use of heat lamps and heating pads. Thermodilution cardiac outputs were obtained in triplicate (SAT-2 cardiac output computer, Edwards, Santa Ana, CA).

A Kottmier (Les Wilkins, Seattle, WA) double-lumen endobronchial tube was inserted through a subcricoid tracheostomy. Complete lung isolation was verified by the absence of air bubbles escaping from one limb of the endobronchial tube when the other was hyperinflated and the absence of cross contamination when the lungs were ventilated separately with helium. Both lungs were ventilated synchronously with a dual-piston ventilator (Harvard, Hollistor, MA) with separate gas circuits. The inspired gas mixture was adjusted using a gas flowmeter (model GF-5, Cameron, Port Aransas, TX). Inspired, mixed-expired, and end-tidal PCO2 and PO2 were measured with a mass spectrometer (model MGA-1100, Perkin-Elmer, Pomona, CA). Arterial and mixed venous blood gases were measured (model 813, Instrumentation Laboratory, Lexington, MA) and corrected for body temperature. Right and left tidal volumes were set at 9 and 6 ml/kg, respectively, and adjusted to yield equal airway pressures of 10-15 cmH2O. The respiratory rate was adjusted to yield alveolar PCO2 of 40 ± 4 Torr. The lungs were hyperinflated every 30 min to prevent microatelectasis.

Study protocol. Before the study was begun, the animals were "primed" with three or four hypoxic challenges. After demonstration of a stable HPV response by consistent increases in Ppa and stable arterial blood gases with left lung hypoxia, the study protocol began. The right lung was ventilated with fraction of inspired O2 (FIO2) of 1.0 throughout the study. This FIO2 was used to ensure the absence of systemic hypoxemia during left lung hypoxia. The left lung was ventilated with FIO2 of 1.0, 0.09, and 0.03 in random order. Inspired CO2 (FIO2 = 0.03) was added to the left lung inspired gas mixture during hypoxia; during hyperoxia, inspired CO2 (inspired fraction of CO2 = 0.01-0.02) was added to both lungs to prevent alveolar hypocapnia. Animals were studied in the supine and prone posture in random order. After 20 stable minutes in each phase, blood gases and hemodynamic measurements were obtained.

Fluorescent-microsphere techniques. Pulmonary blood flow was measured using fluorescent-labeled microspheres (7). One of six colors (blue, orange, scarlet, red, blue-green, and crimson) of 15-µm fluorescent latex microspheres (FluoSpheres 0.2% solids, Molecular Probes, Eugene, OR) was randomly selected, sonicated for 5 min, and vortexed immediately before slow injection (over 60 s) of 2-3 × 106 microspheres through the femoral venous cannula. The catheter was flushed with saline after the injection.

After the final microsphere injection, the animals were deeply anesthetized with pentobarbital sodium. A rapid infusion of saline was started. Papaverine (60 mg) was given intravenously to vasodilate the pulmonary vasculature and facilitate flushing of the lungs. The animals were heparinized (20,000 U) and exsanguinated via the arterial cannula. A median sternotomy was performed, and the pulmonary artery and left atrium were cannulated with wide-bore catheters. A 2% dextran solution was infused into the pulmonary circulation until the effluent from the left atrium was clear of blood. The lungs were excised, and the trachea was connected to a pressure source (~25 cmH2O) to inflate the lungs at total lung capacity while the lungs were suspended to dry. The apical and most ventral rims of the left and right lungs were glued together with a small amount of cyanoacrylate glue (Duro Superglue, Loctite, Cleveland, OH) to preserve the configuration of the lungs.

The lungs were allowed to dry for 6-8 days and then coated with a 1-cm-thick layer of polyurethane foam (Kwik Foam, DAP, Dayton, OH). The foamed lungs were suspended in a plastic-lined square box so that isogravitational planes were parallel to the caudal-cranial axis. The box was filled with a rapidly setting foam (Polyol and isocynate, International Sales, Seattle, WA). The foam block was then sliced into 1.2-cm-thick slices with a band saw with a blade designed to eliminate tearing and loss of tissue, and the slices were cut into squares (1.2 × 1.2 cm) to yield cubes ~1.7 cm3 in volume, in a miter box. Samples with a weight <0.008 g were discarded. The remaining pieces were assigned unique x-, y-, and z-coordinates, where x represents distance in the left-to-right plane, y represents distance in the dorsal-to-ventral plane, and z represents distance in the caudal-to-cranial plane. The percentage of airway present in the sample was estimated.

Fluorescent dye was extracted from the lung tissue samples by soaking in 1.5 ml of 2-ethoxyethyl acetate (Cellosolve, Aldrich Chemical, Milwaukee, WI) for 48 h. The supernatant was pipetted into cuvettes and read in a fluorescent spectrophotometer (model LS 50B, Perkin-Elmer, Norwalk, CT) at the dye-specific excitation and emission wavelengths.

A sample of kidney from each animal was harvested and digested for 24-48 h in 4 N KOH and filtered through a 10-µm-pore polycarbonate filter (Poretics, Livermore, CA). The filter containing the microspheres was soaked in Cellosolve for 4 h, and the fluorescence from the supernatant was measured.

Statistical methods. Tissue samples with an airway content of >= 25% were not included in the final analysis (8, 9). Fluorescence was corrected for weight of each piece by dividing the fluorescence of each color by weight. Weight-normalized relative pulmonary blood flow to each piece of lung was calculated by dividing the color-specific fluorescence of each piece by the mean color-specific fluorescence of all lung pieces in both lungs together, yielding a normalized mean relative flow of 1.0. The data from the left and right lungs were then separated and analyzed individually for pulmonary blood flow distribution. The percentage of relative blood flow to the left (QL) and right (QR) lungs was calculated. The coefficient of variation (CV, SD/mean) was used to characterize the heterogeneity of blood flow within each lung. These were compared by a two-factor (posture and FIO2) repeated-measures ANOVA. Significant differences in FIO2 were further analyzed by a paired t-test with Bonferroni's correction. The change in blood flow [normoxia (N) - hypoxia (H), QN - QH] with hypoxia (L/R FIO2 = 0.03/1.0, where L is left lung and R is right lung) in each lung was characterized as a function of baseline blood flow (QN) during hypoxia (L/R FIO2 = 1.0/1.0). The mean slopes for all animals for the left lung were compared with the mean slope of the right lung by a two-tailed paired t-test.

The variation in relative flow across the FIO2 states in each posture separately was partitioned into 1) a constant component due to spatial position of the piece within the lung (i.e., piece location) and 2) a component representing change due to the experimental manipulation (FIO2), variation over time, and methodological noise. The component of variation due to piece location can be thought of as variation due to structure and anatomic factors (e.g., pulmonary vascular and lung structure) that is common to all FIO2 states studied. The second component is variation, which predominantly represents the portion of flow that varies with change in FIO2, resulting from the change in the amount of blood flow to each lung and a redistribution of blood flow within each lung. This nonstructural component also contains variation due to methodological noise and variation over time. Methodological noise has previously been reported to be extremely small for experiments with a large number of microspheres (7). Bias from trends in flow redistribution over time was controlled through randomization. The method used to partition the variation of flow into its components has been previously described in detail (3) and is presented briefly below.

The variance component due to changes in measured flow, primarily due to different FIO2 levels, (<A><AC>&sfgr;</AC><AC>ˆ</AC></A><SUP>2</SUP><SUB>F<SC>i</SC><SUB>O<SUB>2</SUB></SUB></SUB>) was estimated as
<A><AC>&sfgr;</AC><AC>ˆ</AC></A><SUP>2</SUP><SUB>F<SC>i</SC><SUB>O<SUB>2</SUB></SUB></SUB> = <FR><NU><LIM><OP>∑</OP><LL><IT>i</IT>=1</LL><UL><IT>m</IT></UL></LIM> <LIM><OP>∑</OP><LL><IT>j</IT>=1</LL><UL><IT>n</IT></UL></LIM> (<IT>Y</IT><SUB><IT>ij</IT></SUB> − <OVL><IT>Y</IT></OVL><SUB><IT>i</IT></SUB>)<SUP>2</SUP></NU><DE>(<IT>n</IT> − 1)<IT>m</IT></DE></FR>
where Yij is the observed relative flow for piece i in FIO2 state j, <OVL><IT>Y</IT></OVL>i is the mean relative flow for piece i across the states considered, n is the number of FIO2 states (e.g., 3), and m is the number of pieces.

The variance component due to lung piece location (<A><AC>&sfgr;</AC><AC>ˆ</AC></A><SUP>2</SUP><SUB>structure</SUB>) was estimated as
<A><AC>&sfgr;</AC><AC>ˆ</AC></A><SUP>2</SUP><SUB>structure</SUB> = <FR><NU><LIM><OP>∑</OP><LL><IT>i</IT>=1</LL><UL><IT>m</IT></UL></LIM> (<OVL><IT>Y</IT></OVL><SUB><IT>i</IT></SUB> − <OVL><OVL><IT>Y</IT></OVL></OVL>)<SUP>2</SUP></NU><DE><IT>m</IT></DE></FR>
where <OVL><OVL><IT>Y</IT></OVL></OVL> is the grand mean flow across all pieces and states; <OVL><OVL><IT>Y</IT></OVL></OVL> = 1.0 in these experiments. The relative contributions of variation across pieces and variation across FIO2 levels (and other changes) to total variation can be calculated as percent, because variation across pieces and variation across FIO2 levels, time, and methodological noise are the only sources of variation in measured flow. The percent variation (PV) across pieces is PVstructure = 100 × sigma 2pieces/(<A><AC>&sfgr;</AC><AC>ˆ</AC></A><SUP>2</SUP><SUB>structure</SUB> <A><AC>&sfgr;</AC><AC>ˆ</AC></A><SUP>2</SUP><SUB>F<SC>i</SC><SUB>O<SUB>2</SUB></SUB></SUB>). The PV across FIO2 levels (and other sources of change) is PVFIO2 = 100 - PVstructure. The combination of methodological noise and temporal variability is expected to be small and contributes primarily to <A><AC>&sfgr;</AC><AC>ˆ</AC></A><SUP>2</SUP><SUB>F<SC>i</SC><SUB>O<SUB>2</SUB></SUB></SUB> and slightly to <A><AC>&sfgr;</AC><AC>ˆ</AC></A><SUP>2</SUP><SUB>structure</SUB>. The PV attributable to structure and that attributable to the experimental manipulation in each lung were compared by a two-factor repeated-measures ANOVA (position and lung).

Subsequent analyses were performed adjusting for the overall change in blood flow to each lung with left lung hypoxia. Adjusted (e.g., for change in amount of blood flow) left and right lung blood flow distributions were obtained by dividing the fluorescence of each piece in a given experimental condition by the mean fluorescence of all pieces within the left or right lung separately in that experimental condition. Thus the change in flow distribution under hypoxia was assessed, while the total flow was adjusted to that comparable in the hyperoxic state. The pulmonary hila were defined with spatial coordinates as the points of entry of the left and right pulmonary artery into the lungs (25). The radial distance to the ipsilateral hilum (h) for a piece with coordinates (x,y,z) was calculated as the Euclidean distance
<IT>h</IT> = 1.2 × [(<IT>x</IT> − <IT>x</IT><SUB>h</SUB>)<SUP>2</SUP> + ( <IT>y</IT> − <IT>y</IT><SUB>h</SUB>)<SUP>2</SUP> + (<IT>z</IT> − <IT>z</IT><SUB>h</SUB>)<SUP>2</SUP>]<SUP>0.5</SUP>
where the subscript h indicates the coordinates for the pulmonary artery in the hilum and the factor 1.2 was used to convert the dimensionless coordinate distance to centimeters.

Normalized flow for each lung was described as a linear function of x-, y-, or z-coordinates or hilar-to-peripheral distance with use of least-squares regression analysis. Flows normalized within each lung were used for this analysis. A slope of -4.0%/cm, for example, means that flow decreased 0.04 normalized flow units per centimeter. The slope was expressed in terms of percent per centimeter, because the mean normalized flow for each lung for each animal was 100%. The mean slopes (e.g., flow vs. x) of all animals were compared with zero with a single-sample two-tailed t-test. The linear association (Pearson's correlation coefficient, R) between relative pulmonary blood flow and each spatial dimension (x, y, z, or h) was determined. The PV in flow accounted for by each of the dimensions was calculated as R2. Slopes of the linear gradients for all animals were analyzed by a two-factor (posture and FIO2) repeated-measures ANOVA, with significant differences in FIO2 evaluated by a paired t-test with Bonferroni's correction.

The change in the hilar-to-peripheral slope with hypoxia (SH) compared with hyperoxia (SN) was calculated for each lung in the prone position. Flows normalized within each lung were used for this analysis. The difference (SN - SH) is the change in slope uniquely due to redistribution of flow under hypoxia. Slopes for the two hypoxic states (left lung FIO2 = 0.09 and 0.03) were very similar and were averaged for this analysis. To determine whether the redistribution of flow varied with the fraction of flow allocated to left and right lungs, we compared the redistribution difference, SN - SH, with QH/QN, the ratio of flow to the specific lung during hypoxia to flow to that lung during hyperoxia. We calculated the Pearson correlation of SN - SH with QH/QN across animals. Using linear regression analysis, we tested whether SN - SH varied in a different way with flow fraction on the hypoxic (left) vs. hyperoxic (right) side of the lung. The dependent variable was the difference (SN - SH)left - (SN - SH)right, and the independent variable was (QH/QN)left - (QH/QN)right.

The calculation of variance in flow attributable to structure vs. nonstructure was repeated using the blood flow data normalized separately for each lung. This analysis adjusted for the overall change in blood flow to each lung with hypoxia while preserving the nonstructural component in variance due to redistribution.

The data on hemodynamic and blood gas distribution were analyzed by a two-factor (posture and FIO2) repeated-measures ANOVA. Significant differences in FIO2 were compared using a paired t-test with Bonferroni's correction. P < 0.05 was deemed statistically significant. For post hoc tests of FIO2 (3 levels), P < 0.05 after Bonferroni's correction was considered significant. Only this threshold value is used in Tables 1-5 and Figs. 1-4 for indication of significance to improve the clarity of presentation; specific P values are presented in the text.

    RESULTS
Top
Abstract
Introduction
Materials & Methods
Results
Discussion
References

Hemodynamic and blood gas data are presented in Table 1. The baseline conditions, including body temperature, right and left airway pressure, arterial PCO2, pH, and hematocrit, were fairly constant throughout the study. In both positions, left lung hypoxia increased Ppa (P < 0.001 by ANOVA) and decreased arterial PO2 and mixed venous PO2 (P<A><AC>v</AC><AC>¯</AC></A><SUB>O<SUB>2</SUB></SUB>; P < 0.001 by ANOVA). Total flow shifted markedly from the left to the right lung in both positions under hypoxia (P < 0.001 by ANOVA). Cardiac output (P < 0.05 by ANOVA), systemic arterial pressure (P < 0.001 by ANOVA), and heart rate (P < 0.05 by ANOVA) were increased in the prone compared with the supine position.

                              
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Table 1.   Hemodynamic and blood gas data

For each animal, 1,586 ± 158 lung pieces were obtained; 13 ± 2% of the samples were deleted from analysis because of the presence of >= 25% airways, resulting in 589 ± 67 pieces in the left lung and 789 ± 97 pieces in the right lung in the final data analysis. The lungs were divided into an average of 24 ± 1 caudal-to-cranial planes, 16 ± 1 dorsal-to-ventral planes, and 16 ± 2 left-to-right planes. Kidney samples had no fluorescence, indicating that all the microspheres were trapped in the lungs.

Pulmonary blood flow distribution during hyperoxia. The distribution of pulmonary blood flow during hyperoxia was characterized by marked heterogeneity in the distribution of pulmonary blood flow. The CV of pulmonary blood flow was greater in the supine than in the prone position for left (P < 0.05) and right (P < 0.01) lungs (Fig. 1). In the prone position the dorsal-to-ventral gradient in both lungs was close to zero, whereas in the supine position a significant negative dorsal-to-ventral gradient was present (Tables 2 and 3; P < 0.001 compared with zero). In this position, pulmonary blood flow was greater in the dorsal areas of the lung and decreased by ~4%/cm toward ventral areas of each lung. The dorsal-to-ventral gradient was not altered by exclusion of lung pieces representing 3 cm of lung most dependent in either position. A small, but significant, caudal-to-cranial gradient (P < 0.05 compared with zero) was present in the left lung (Table 2) and the right lung (Table 3) in the supine position. Blood flow decreased 2-3%/cm from the caudal to the cranial direction. Pulmonary blood flow decreased by 3-5%/cm (P < 0.001 compared with zero) in both lungs linearly with increasing distance from the ipsilateral hilum in both positions (Tables 2 and 3, Fig. 2). The hilar-to-peripheral gradient persisted with elimination of 3 cm of lung most distant from the hilum. The hilar predominance of pulmonary blood flow was also reflected in the left-to-right gradients, especially in the left lung, where there was a significant negative gradient (Tables 2 and 3).


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Fig. 1.   Heterogeneity of pulmonary blood flow distribution. A: coefficient of variation (CV) of left lung pulmonary blood flow. B: CV of right lung pulmonary blood flow. L, left lung; R, right lung; FIO2, inspired O2 fraction. Values are means ± SD. * P < 0.05 vs. L/R FIO2 1.0/1.0, same position; § P < 0.05 vs. prone position, same FIO2. Pulmonary blood flow heterogeneity was increased in supine position. Left lung hypoxia increased pulmonary blood flow heterogeneity of left lung, but it was unchanged in right lung.

                              
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Table 2.   Left lung blood flow as a linear function of hilar-to-peripheral, left-to-right, dorsal-to-ventral, and caudal-to-cranial vectors

                              
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Table 3.   Right lung blood flow as a linear function of hilar-to-peripheral, left-to-right, dorsal-to-ventral, and caudal-to-cranial vectors


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Fig. 2.   Hilar-to-peripheral gradients in left lung in representative animal in prone position during hyperoxia (A) and hypoxia (FIO2 = 0.03, B). Hilar-to-peripheral gradient in left lung decreased during hyperoxia.

However, most of the flow variation is not explained by linear trends with distance. The percentage of the total variance in blood flow (R2) attributable to the dorsal-to-ventral gradient ranged from 6% in the prone position to 31% in the supine position. The percentage of total variance attributable to the caudal-to-cranial gradient ranged from 5 to 20%, whereas 10-15% of variance in blood flow was attributable to the hilar-to-peripheral gradient.

Redistribution of pulmonary blood flow during hypoxia. Hypoxic ventilation of the left lung increased QR and reduced QL in both positions (P < 0.001 by ANOVA; Table 1). In the prone position, flow diversion away from the left lung was 46 ± 8% with FIO2 of 0.09 and 60 ± 8% with FIO2 of 0.03. Similar values were observed in the supine position. The CV of the left lung blood flow increased with hypoxia (P < 0.001 by ANOVA; Fig. 1). However, the increase occurred in the prone (P < 0.01), but not in the supine, position (Fig. 1). In each position the CV of the right lung blood flow was not affected by flow diversion occurring with left lung hypoxia.

The change in blood flow to each lung piece with left lung hyperoxia (QN - QH) as a function of blood flow during hyperoxia (QN) is illustrated in a representative animal in the prone position in Fig. 3. The decrease in blood flow in the hypoxic left lung was greatest in high-flow lung pieces and lowest in low-flow lung pieces. For all animals the mean slope of (QN - QH) vs. QN in the hypoxic lung (FIO2 = 0.03) was 0.68 ± 0.18 (P < 0.001 compared with zero). Blood flow increased in the right lung more to pieces with high baseline flow than to pieces with low flow (Fig. 3). However, in the right lung there was more dispersion around the trend line, and the high-flow pieces gained less than the high-flow pieces in the left lung lost. The mean right lung slope of (QN - QH) vs. QN was -0.42 ± 0.26 (P = 0.02 compared with zero). The mean absolute value of this slope was significantly different between lungs (P = 0.016 by paired t-test). Similar results were obtained in the supine position.


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Fig. 3.   Change in QN - QH weight-normalized relative blood flow between hyperoxia (QN) and left lung hypoxia (FIO2 = 0.03, QH) as a function of QN. Data for hypoxic left lung (A) and hyperoxic right lung (B) are shown for a representative individual animal in prone position. QN - QH = 0 indicates no change in blood flow with hypoxia, positive values indicate decrease in relative blood flow during hypoxia, and negative values indicate increase in relative blood flow during hypoxia. High-flow lung pieces show a greater decrease (A) or increase (B) during hypoxia than low-flow pieces. However, high-flow pieces lose a greater amount than high-flow pieces gain.

The partitioning of variance in blood flow into two compartments representing piece structure and nonstructural components is presented in Table 4. Seventy to 80% of the total variance in pulmonary blood flow in the right lung was attributable to piece structure. In contrast, only 30-40% of the total variance in blood flow to the left lung was attributable to piece structure (P < 0.001 compared with right lung by ANOVA). Sixty to 70% of the variation in the blood flow distribution in the left lung was due to nonstructural factors, including the decrease in amount of blood flow and redistribution of flow with left lung hypoxia, as well as experimental noise and time.

                              
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Table 4.   Components of variation in flow due to piece structure vs. nonstructure

When the flow distribution was adjusted for the change in total blood flow to each lung with left lung hypoxia, 90-95% of the total variance in flow in the right lung was attributable to piece structure and 5-10% was attributable to nonstructural components (Table 5). In contrast, 70-80% of the variance in flow in the left lung was attributable to piece structure and 20-30% to nonstructural components. Variance values for the left lung were significantly different from those for the right lung (P < 0.01 by ANOVA). In addition, the amount of variance in flow attributable to structure was slightly greater in the supine than in the prone position (P = 0.02 by ANOVA).

                              
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Table 5.   Components of variation in flow due to piece structure vs. nonstructure with adjustment for change in total blood flow to each lung

Comparison of variance components for unadjusted (Table 4) and adjusted flow (Table 5) indicates that most of the flow variance in the right, hyperoxic lung is due to the change in total flow, with little redistribution. In contrast, although much of the flow variance in the left, hypoxic lung is due to a change in total flow, a very substantial change component is present even after adjustment for total flow, indicating substantial redistribution of the flow received.

Analysis of the slopes of linear vectors of pulmonary blood flow (adjusted for changes in flow) demonstrated a significant decrease (P = 0.005 by ANOVA) in the hilar-to-peripheral gradient in the hypoxic lung in both positions (Table 2, Fig. 2). The caudal-to-cranial gradient became steeper during hypoxia in the supine, but not the prone, position (P = 0.03 by ANOVA). The other linear gradients in the left lung were not affected by left lung hypoxia. None of the linear gradients in flow in the right lung significantly changed with left lung hypoxia, when blood flow was adjusted to hyperoxic levels (Table 3).

Comparison of differences in the adjusted hilar-to-peripheral slopes during hyperoxia and hypoxia for the left and right lungs in the prone position is shown in Fig. 4. There was a significant linear relationship between SN - SH and the ratio of hypoxic to hyperoxic blood flow (QH/QN) in the hypoxic left lung for the eight animals (y = -0.062 ± 0.08x, R = 0.68, P = 0.04). In contrast, the right lung relationship was considerably weaker and was not significantly different from zero (P = 0.5). The left and right lung linear trends in Fig. 4 were significantly different (P = 0.006).


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Fig. 4.   Relationship between change in hilar-to-peripheral gradient between hyperoxia and left lung hypoxia (SN - SH) and relative proportion of blood flow to each lung during left lung hypoxia compared with hyperoxia (QH/QN). Data from 8 animals in prone position are shown. Points with QH/QN < 1 represent hypoxic left lung; points with QH/QN > 1 represent hyperoxic right lung. There is a significant linear relationship between strength of hypoxic pulmonary vasoconstriction response and change in hilar-to-peripheral slope in left lung (P = 0.04). However, there is a negligible and nonsignificant relationship in right lung. Linear trends for right and left lung are significantly different (P = 0.006).

    DISCUSSION
Top
Abstract
Introduction
Materials & Methods
Results
Discussion
References

We studied the effects of unilateral alveolar hypoxia on the distribution of pulmonary blood flow in the hyperoxic and hypoxic lungs in supine and prone anesthetized dogs. Redistribution of blood flow in the hypoxic left lung was different from that in the hyperoxic right lung. The heterogeneity of flow increased, the component of variation in flow due to structure was smaller, and the hilar-to-peripheral gradient, adjusted for the decrease in blood flow, was reduced in the hypoxic lung. In contrast, no changes were observed in the hyperoxic lung. We conclude that HPV-flow diversion alters the distribution of pulmonary blood flow in the hypoxic, but not the hyperoxic, lung.

Methodological issues. Fluorescent-labeled microspheres were used to determine the distribution of pulmonary blood flow (7). The spheres were completely extracted by the pulmonary microcirculation, as demonstrated by the absence of fluorescence in a sample of kidney. The lungs were inflated and dried at total lung capacity. Although some distortion of the pulmonary parenchyma is possible when the lungs are inflated to 25 cmH2O, the influence on the major findings of the study should be small. Lung volume may be slightly greater than in the intact lung, which will increase the linear dimensions slightly. In addition, the weight of the heart in vivo may result in some compression of the lung below it. Lung shape and size were carefully maintained in anatomic position during drying. We visually ensured that the lungs were oriented properly in the rigid box when foamed, to ensure sectioning of the lungs into isogravitational planes. Lung pieces belonging to the left and right lungs were confirmed by close inspection of visual maps.

Lung pieces with >25% airway tissue were excluded, inasmuch as airway tissue has a higher density than alveolar tissue and results in an erroneously low weight-corrected signal. Thirteen percent of all lung samples were excluded. Inasmuch as a greater number of these pieces were located near the hilum than in the lung periphery, exclusion of these pieces may result in alterations in the estimated hilar-to-peripheral gradient compared with imaging methods, such as single-photon emission computed tomography (SPECT) scanning. We have evaluated the impact of exclusion of pieces with >25% airways in pilot work and found no significant change in results whether the specimens were included or excluded.

Pulmonary blood flow distribution during hyperoxia. The present study confirms the results of previous studies in which marked heterogeneity was observed in the distribution of pulmonary blood flow independent of linear vectors (3, 8, 9, 16, 25). Small, but significant, hilar-to-peripheral flow gradients were present in both postures, and a vertical dorsal-to-ventral gradient and caudal-to-cranial gradient were found in the supine posture during hyperoxia (Tables 2 and 3). However, most of the flow variation was not explained by linear trends with distance. Although the distribution of pulmonary blood flow was evaluated during hyperoxia instead of normoxia, the findings on gradients are identical to those obtained in animals with normal lungs when FIO2 is 0.21 (3, 8, 9, 14, 16, 21, 24). The lack of dependence of the pulmonary blood flow distribution on vertical height in the prone position is consistent with previous studies in which similar methodology was used in dogs (8, 9), sheep (25), and horses (3, 16) and in which imaging techniques were used in humans (14) and dogs (13, 21, 24). The presence of a central-to-peripheral gradient in pulmonary blood flow is also consistent with previous results in sheep (25), in which the same methodology was used, and in dogs and humans, in which different center points and/or methodology were used (8, 9, 11, 12-15, 21). The central-to-peripheral gradient measured in the present study is based on the distance from the ipsilateral pulmonary artery located in the hilum. This center point is more peripherally located than that in the studies of Hakim et al. (12-15), where the correlation was relative to the center of mass of each lung or lobe. Despite the differences in center point and methodology, the results of the present study are remarkably similar to those of previous studies (8, 9, 11, 12-15, 21). The hilar predominance of pulmonary blood flow is most likely a function of vascular anatomy because of branching vessels in a fractal pattern (10).

Pulmonary blood flow distribution during unilateral hypoxia. Left lung hypoxia decreased QL, increased QR, and increased Ppa (Table 1). The amount of flow diversion was consistent with the known properties of the HPV stimulus-response curve (1, 19) and similar in magnitude to that observed in prior studies (5, 18). The effect of left lung hypoxia on the distributions of pulmonary blood flow was essentially similar in the prone and supine positions.

The unique finding of the present study is that hypoxic ventilation of a lung leads to a change in the regional distribution of blood flow within that lung. This conclusion is based on multiple findings, including differences in CV in flow, amount of variation in flow attributable to structure vs. nonstructural factors, and the hilar-to-peripheral gradient between hypoxic and hyperoxic lungs. The heterogeneity of the distribution of pulmonary blood flow increased in the hypoxic left lung but was unchanged in the hyperoxic right lung (Fig. 1). A greater proportion of variation in flow was attributable to structural factors in the hyperoxic than in the hypoxic lung, even after adjustment for change in overall level of blood flow to each lung (Tables 4 and 5).

The hilar-to-peripheral gradient in flow, adjusted for change in blood flow, decreased in the hypoxic lung but was unchanged in the hyperoxic lung (Tables 2 and 3, Fig. 2). In addition, there was a significant positive association between the change in the hilar-to-peripheral gradient with hypoxia (SN - SH) and the strength of the HPV response (QH/QN) for the hypoxic left lung, but not the hyperoxic right lung (Fig. 4). The greater the decrease in QH/QN, the greater is the change in the hilar-to-peripheral gradient (SN - SH) in the hypoxic lung. These results suggest that pulmonary vasoconstriction alters the distribution of blood flow in the hypoxic lung in proportion to the intensity of the HPV response. Because the findings persist after statistical adjustment for the change in overall blood flow to each lung, they also suggest that the redistribution of flow with HPV is distinct from the change in total pulmonary blood flow.

A large percentage of pulmonary blood flow variation with hypoxia was determined by a fixed spatial pattern. Piece structures determined 70-80% of the variance in blood flow to the right lung (Table 4). Increases in blood flow to the right lung with HPV-flow diversion and other nonstructural factors accounted for only 20-30% of the pulmonary blood flow variation. This result is similar to that obtained with increased flow in exercising horses (3). In contrast, only 30-40% of the variance in flow in the hypoxic left lung was attributable to piece structure (Table 4). The remainder of the variation in flow was attributable to HPV and other nonstructural factors (such as time and methodological noise). This low percentage was predominantly secondary to the decrease in flow rather than redistribution, inasmuch as the proportion of variance due to structural factors increased to 70-80% with statistical adjustment for the decrease in flow (Table 5). However, structural factors still played a greater role in determining the distribution of flow in the hyperoxic right lung (90-95% with adjustment for flow change) than in the left lung. The differences in the proportion of variation in flow due to the fixed spatial pattern between the lungs emphasize that, although the pulmonary vascular structure has an important role in determination of the distribution of pulmonary blood flow, factors such as HPV also play a major role in determining the distribution of flow in the lung in which hypoxia is present.

The fact that hypoxic ventilation of a lung leads to a change in the regional distribution of blood flow within that lung may be explained by local differences in the stimulus for HPV. Given the normal VA-Q heterogeneity present in the lung, it is likely that there will be local variations in PAO2 in different lung regions dependent on the resting VA/Q. Inasmuch as the stimulus for HPV is a reduction of PO2 in the vicinity of the vascular smooth muscle (19), the stimulus in high-VA/Q regions is likely to be different from that in low-VA/Q regions. In low-VA/Q regions the stimulus for HPV would approach P<A><AC>v</AC><AC>¯</AC></A><SUB>O<SUB>2</SUB></SUB> (~60 Torr), as it does in the presence of atelectasis (6). In addition, the hypoxic stimulus would be expected to elicit a more intense vasoconstrictor response in high-VA/Q regions because of the lower PAO2. However, this explanation is speculative and requires further testing, inasmuch as local PAO2 levels were not measured.

The local HPV response may also be conditioned by the basal flow in the local lung region, perhaps dependent on basal level of pulmonary vascular tone. The HPV response is attenuated in the presence of high pulmonary vascular tone (2). HPV may already be present in low-flow, low-VA/Q regions in the basal state, so little change in blood flow would be observed during hypoxia. This is consistent with the finding that the HPV response of each lung piece is directly proportional to its baseline blood flow (Fig. 3). A greater decrease in blood flow occurred during hypoxia in high-flow pieces, with smaller decreases in low-flow pieces. However, our finding that a grossly similar relationship (although quantitatively different, Fig. 3) was observed in the hyperoxic right lung, in which the high-flow pieces increased in the amount of flow more than the low-flow pieces, suggests that anatomic factors may also be important. This finding is partially consistent with those of Hakim et al. (13, 15), who found, using SPECT imaging, that changes in cardiac output changed blood flow in proportion to baseline blood flow. Greater absolute increases or decreases in blood flow were observed in high-flow regions. These findings further emphasize the importance of pulmonary vascular branching patterns in determination of the distribution of pulmonary blood flow.

We previously demonstrated an increase in VA-Q heterogeneity in hypoxic lung (5) and with reductions in lobar blood flow, even without alteration in the predominant zonal conditions (4, 20). The present finding of increased heterogeneity in the perfusion distribution in the hypoxic lung suggests that alterations in the perfusion distributions may contribute to the observed heterogeneities in gas exchange.

The present experiment cannot distinguish between whether pulmonary vasoconstriction or changes in blood flow are responsible for the observed differences between the hypoxic and hyperoxic lungs. Blood flow decreases to the hypoxic lung while increasing to the hyperoxic lung. Statistical adjustment for changes in the amount of blood flow reduces the influence of the amount of blood flow on the results. It is possible that decreases in blood flow may be associated with greater redistribution of blood flow than increases in flow, especially when zonal conditions vary, even in the absence of hypoxia. However, in the present study it is unlikely that zone 1 occurred in the hypoxic lung. Further experiments are required to separate the influences of vasoconstriction from decreases in flow.

In conclusion, redistribution of blood flow with unilateral alveolar hypoxia was different in hypoxic and hyperoxic lungs. Significant changes in the distribution of flow occurred in the hypoxic lung, in contrast to the hyperoxic lung. We conclude that hypoxic vasoconstriction alters the regional distribution of flow in the hypoxic, but not in the hyperoxic, lung.

    ACKNOWLEDGEMENTS

The authors thank Mical Middaugh, Dowon An, Susan Bernard, and Jeff Parker for expert technical help and Dawn Bolgioni for secretarial assistance.

    FOOTNOTES

This study was supported by National Heart, Lung, and Blood Institute Grants HL-12174, HL-24163, and HL-02507; The Swedish Society of Medicine (Carin Tryggers Minnesford); and the Swedish Medical Research Council.

Address for reprint requests: K. B. Domino, Dept. of Anesthesiology, Box 356540, University of Washington, Seattle, WA 98195.

Received 10 October 1996; accepted in final form 28 January 1998.

    REFERENCES
Top
Abstract
Introduction
Materials & Methods
Results
Discussion
References

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