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Am J Physiol Heart Circ Physiol 279: H1796-H1803, 2000;
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Vol. 279, Issue 4, H1796-H1803, October 2000

Methods for assessing hepatic distending pressure and changes in hepatic capacitance in pigs

Harald Kjekshus1, Cecilie Risoe2, Tim Scholz1, and Otto A. Smiseth1

1 Institute for Surgical Research, The National Hospital, University of Oslo, N-0027, and 2 Department of Cardiology, Ullevaal Hospital, 0407 Oslo, Norway


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

The equilibrium pressure obtained during simultaneous occlusion of hepatic vascular inflow and outflow was taken as the reference estimate of hepatic vascular distending pressure (Phd). Phd at baseline was 1.1 ± 0.2 (mean ± SE) mmHg higher than hepatic vein pressure (Phv) and 0.7 ± 0.3 mmHg lower than portal vein pressure (Ppv). Norepinephrine (NE) infusion increased Phd by 1.5 ± 0.5 mmHg and Ppv by 3.7 ± 0.6 mmHg but did not significantly increase Phv. Hepatic lobar vein pressure (Phlv) measured by a micromanometer tipped 2-Fr catheter closely resembled Phd both at baseline and during NE-infusion. Dynamic pressure-volume (PV) curves were constructed from continuous measurements of Phv and hepatic blood volume increases (estimated by sonomicrometry) during brief occlusions of hepatic vascular outflow and compared with static PV curves constructed from Phd determinations at five different hepatic volumes. Estimates of hepatic vascular compliance and changes in unstressed blood volume from the two methods were in close agreement with hepatic compliance averaging 32 ± 2 ml · mmHg-1 · kg liver-1. NE infusion reduced unstressed blood volume by 110 ± 38 ml/kg liver but did not alter compliance. In conclusion, Phlv reflects hepatic distending pressure, and the construction of dynamic PV curves is a fast and valid method for assessing hepatic compliance and changes in unstressed blood volume.

regional circulation; compliance; unstressed blood volume; resistance; norepinephrine


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

THE SPLANCHNIC REGION represents the largest blood volume reservoir in the body (7, 23, 29) and converges in a common vascular outflow path through the liver. The liver is highly compliant and contributes to circulatory homeostasis and regulation of cardiac filling by both active and passive mobilization and storage of substantial amounts of blood in response to physiological and pharmacological stimuli (7, 24, 25). Construction of hepatic pressure-volume (PV) curves facilitates the distinction between blood volume responses due to active changes in the hepatic capacitance vessel tone and passive alterations due to changes in systemic pressures and flows that affect the liver (10). An essential key in assessing hepatic vascular compliance and unstressed volume is a representative estimate of the distending pressure in the main blood volume compartment. Reports indicate that 50-80% of the hepatic blood volume is localized in the sinusoids (4, 17, 21, 22). Thus several catheterization techniques have been applied to estimate sinusoidal pressure. However, the initial values reported of sinusoidal pressure relative to the portal (Ppv) and hepatic vein (Phv) pressures were divergent with a prevailing notion that sinusoidal pressure was close to Ppv and that hepatic resistance was primarily postsinusoidal (5, 12, 14, 18, 20). In recent years direct measurements of microvascular pressures with servo-null micropipettes (3, 16, 27) have clearly refuted this notion, showing sinusoidal pressure to lie somewhat in the middle between Ppv and Phv under baseline conditions. However, the use of the micropipette technique is limited by its highly invasive nature, requiring extensive stabilization of the liver to maintain the position of the pipettes. An alternative way of estimating sinusoidal pressure is to measure the pressure equilibrium during complete circulatory isolation of the liver, a mean hepatic distending pressure (Phd). The technique of zero-flow pressure equilibrium was first defined for the entire circulation as the mean circulatory filling pressure (9, 26) but has also been used to estimate splanchnic distending pressure in the dog (19). Although anatomic localization is lost with this technique, Shibamoto et al. (28) showed that Phd (termed "triple occlusion pressure" in their paper) closely resembled sinusoidal or capillary pressure in isolated perfused livers. However, this approach requires the determination of several static zero-flow points at different blood volumes in order to construct PV curves. This is time consuming and adds extra scatter to the data due to the prolonged recording period. We have previously shown that reproducible capacitance data can be calculated from dynamic PV curves constructed by plotting the simultaneous pressure and volume increases observed during brief occlusions of hepatic vascular outflow (10). Occlusion of hepatic vascular outflow is a rapid method of assessing hepatic PV relations and can be performed repeatedly during the course of an experiment without apparent long-term effects on hepatic PV relations or the hemodynamic status of the animal. In situations where transhepatic resistance is low or normal, outflow occlusion will rapidly (within a fraction of a second) induce a near equilibrium between Ppv portal and Phv, ensuring that both pressures are fair estimates of the operating distending pressure. However, we have shown that during norepinephrine (NE) infusion, a large pressure gradient exists between the portal and the hepatic vein during occlusion of hepatic vascular outflow (10), and there is uncertainty as to which pressure best reflects the operating distending pressure.

Thus the goals of the present study were the following: 1) to determine which of the hepatic inflow and outflow pressures best represents the distending pressure of the hepatic capacitance vessels; and 2) to investigate if changes in hepatic vascular compliance and unstressed volume calculated from dynamic PV curves differed from those derived from static PV points.


    METHODS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Animal preparation and instrumentation. Six Norwegian farm pigs of either sex weighing 20-24 kg were premedicated with ketamine 400 mg im (Ketalar, Warner Lambert, Morris Plains, NJ) and azaperone 60 mg im (Stresnil, Janssen-Cilag Pharma, Vienna, Austria) 20 min before induction of anesthesia with a bolus dose of pentobarbital sodium (250 mg iv) and petidinclorid (100 mg iv, Petidin, Nycomed Pharma, Oslo, Norway), followed by laryngeal intubation and ventilation (Siemens 900B, Solna, Sweden). Anesthesia was maintained by a continuous intravenous infusion of pentobarbital in Ringer acetate (1 mg/ml at a rate of ~8 ml kg body wt-1 · h-1, Pharmacia & Upjohn, Stockholm, Sweden) combined with an intravenous infusion of petidinclorid in Ringer acetate (0.1 mg/ml at a rate of 12 ml · kg body wt-1 · h-1). After surgery was completed, the pentobarbital infusion was reduced to 4-6 ml · kg body wt-1 · h-1.

A midline laparatomy was performed. For measurements of Ppv, an 8-Fr feeding tube (Pharma-Plast; Lynge, Denmark) was advanced through a small pancreatic tributary into the portal vein with the catheter tip palpable 1 cm from the liver. For measurements of wedged portal vein pressure (Ppvw), a 5-Fr balloon catheter (model 93-132-5F, Edwards Swan-Ganz catheter, Baxter Healthcare, Irvine, CA) was inserted through a mesenteric vein and advanced with the balloon deflated until it wedged in a small branch within the liver. The balloon was then inflated with 0.2 ml of saline and a wedged position was confirmed by contrast injection (Omnipaque; Nycomed) in the upstream Ppv catheter with no visual leakage of contrast past the tip of the Ppvw catheter. For measurements of Phv and hepatic lobar vein pressure (Phlv), an introducer catheter (8-Fr, RS*C80N10NR; Terumo, Tokyo, Japan) was inserted in the right external jugular vein and secured in place. A 6.5-Fr catheter (model P6.5, outer diameter 2.3 mm; William Cook Europe, Bjaeverskov, Denmark) was inserted through the introducer to a hepatic vein under fluoroscopic guidance. The catheter was inserted gently until resistance was felt, and a wedged position was verified by its pressure equaling that of the portal vein (5). Before insertion of the 6.5-Fr catheter, a 2-Fr micromanometer-tipped catheter (model SPR-407, outer diameter 0.7 mm; Millar Instruments, Houston, TX) had been prepositioned within the 6.5-Fr catheter with its tip residing at the distal opening. Guided by markings on the 2-Fr catheter and the 6.5-F catheter, the 6.5-Fr catheter was slowly withdrawn from the wedged position while the 2-Fr catheter was simultaneously fed into the 6.5-Fr catheter at the same rate, leaving the 2-Fr catheter steadfast in a lobar hepatic vein. Typically, the 6.5-Fr catheter was withdrawn 5-6 cm under fluoroscopic guidance and recording of pressures. Final positions of the catheters were verified by fluoroscopy and contrast injection in the 6.5-Fr catheter ensuring that its tip resided freely floating in a large hepatic vein 1-2 cm from its opening into the caval vein. Cardiac oscillations could be identified in the Phlv and Phv pressure tracings (Fig. 1) indicating nonwedged positions. The final positions of the hepatic catheters are illustrated schematically in Fig. 2. A separate catheter was inserted into a mesenteric vein and advanced toward the beginning of the portal vein for drug infusions. For measurements of systemic pressures and cardiac output, catheters were placed in the pulmonary artery (Edwards 7-Fr Swan-Ganz thermodilution catheter; Baxter) and abdominal aorta (6-Fr angiographic catheter; Cordis, Miami, FL). All catheters were connected to AE840 pressure transducers (SensoNor, Horten, Norway), and reference zero level was set at the level of the right atrium.


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Fig. 1.   Recording of hepatic pressures during the withdrawal of the 6.5-Fr fluid-filled hepatic vein (Phv) catheter from the wedged position. Note that all the pressures overlap in the wedged position before withdrawal. When the Phv catheter was withdrawn 2 cm, the pressure recorded by the upstream 2-Fr micromanometer tip catheter (hepatic lobar vein pressure, Phlv) was similar to the downstream Phv, providing no evidence for the existence of a sphincter in the proximal hepatic veins. Also, the physiological oscillations of the Phlv trace indicates a nonwedged position of the Phlv catheter. The Phv catheter was gradually withdrawn a further 4 cm to a free-floating position ~1 cm from the hepatic vein outlet. Note the gradual decrease in Phv with withdrawal while the Phlv remains stable. The respirator was then temporarily disconnected and hepatic vascular in- and outflow occluded (open arrow) to achieve complete circulatory isolation of the liver. When a stable pressure-equilibrium (solid arrow) between the fluid-filled portal vein (Ppv) and Phv catheters was obtained, any zero drift of the Phlv catheter was checked for and if necessary corrected.



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Fig. 2.   Schematic illustration of the individual positions of the hepatic catheters. Ppv, portal vein catheter; Ppvw, portal vein wedge catheter; Phlv, hepatic lobar vein catheter; Phv, hepatic vein catheter.

Liver blood flow was measured with ultrasound transit time flow probes on the hepatic artery and portal vein (4SB and 12SB, respectively, connected to a T207 flowmeter, Transonics Systems, Ithaca, NY). Hepatic inflow could be interrupted by inflation of vascular occluders mounted on the hepatic artery and portal vein, and hepatic outflow could be occluded by inflation of a balloon catheter positioned in the intrahepatic portion of the inferior vena cava as previously described (10). Liver thickness was measured by gluing ultrasonic transducers (ED3-2 connected to Sonomicrometer 120; Triton Technology, San Diego, CA) to the ventral and dorsal surfaces of the left lateral and the medial liver lobe as previously described (10). All animal handling, experiments, and proceedings were approved by the local laboratory animal science specialist under the surveillance and registration of the Norwegian Experimental Animal Board, conforming to the National Institutes of Health Guide for the Care and Use of Laboratory Animals (National Research Council, Washington, DC, 1996).

Calculations. Total hepatic resistance was calculated as the difference between Ppv and Phv divided by the sum of portal vein and hepatic arterial blood flow. Portal venous resistance (Rpv) was calculated as the difference between Ppv and Phd divided by portal venous blood flow. Hepatic arterial resistance (Rha) was calculated as the difference between mean arterial pressure and Phd divided by hepatic arterial blood flow. Hepatic lobar venous resistance (Rhlv) was calculated as the difference between Phd and Phlv divided by the sum of portal vein and hepatic arterial blood flow. Hepatic venous resistance (Rhv) was calculated as the difference between Phlv and Phv divided by the sum of portal vein and hepatic arterial blood flow.

Alterations in hepatic vascular volume were assessed through measurements of liver thickness by sonomicrometry. Changes in liver thickness by sonomicrometry were converted to volume changes by plotting each liver thickness as a function of the integral of the hepatic inflow during complete outflow occlusion. The integral of hepatic inflow will equal the change in volume when hepatic outflow is occluded. The slope of the volume-thickness curves thus obtained can be taken as the calibration factor to convert changes in liver thickness to changes in volume. The calibration procedure and reproducibility of sonomicrometric volume estimates has been presented in detail previously (10). The procedure does not allow for direct measurement of total blood volume, only measurements of volume changes relative to baseline. Instead of reporting volume changes as a percentage of baseline, we made the assumption that total hepatic blood volume equaled 35 ml/100 g liver wt (7) at baseline, and we reported the measured volume changes as different absolute volumes based on this assumption. The sonometrically based estimates of total hepatic blood volumes were then used to construct PV curves. The slope and intercept of the PV curves were calculated by linear regression analysis using the least-squares method and used as estimates for hepatic vascular compliance and hepatic unstressed blood volume, respectively.

Experimental protocol. After surgery was completed, the pigs were allowed 30 min for stabilization. The baseline recordings consisted of initial cardiac output (CO) measurement by thermodilution (mean of 3 injections of 10 ml of ice-cold 5% glucose). The respirator was then disconnected, and a 10-s recording of stable pressures and volume was performed during free flow, followed by occlusion of hepatic vascular outflow and a 15-s recording of the resulting continuous pressure and blood volume increases (see Fig. 3). This 15-s recording was used to construct the dynamic PV curves as previously described (10). The respirator was reconnected, and a 5-min stabilization period was allowed.


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Fig. 3.   Assessment of mean hepatic distending pressure (Phd) and static pressure-volume (PV) points in 1 pig. Assembly of consecutive recordings performed with 5-min intervals at baseline (A) and during norepinephrine (NE) infusion (B). Each recording consists of an initial period of free flow followed by occlusion of hepatic vascular outflow (gray vertical arrow) and subsequent occlusion of hepatic vascular inflow (solid vertical arrow) after 0- (simultaneous in- and outflow occlusion), 2-, 5-, 10-, and 15-s duration of outflow occlusion, respectively. The 15-s duration of outflow occlusion recording was also used for construction of the dynamic PV curve. Note the rapid equilibration between Phlv and Phv after occlusion of outflow, while a significant gradient persists toward Ppv, most marked during NE infusion. With subsequent occlusion of inflow, Ppv rapidly approximates the other pressures and this initial equilibration point (open arrows) was taken as the reference estimate of Phd used to assess pressure gradients. Thereafter the pressures gradually decline in unison and the point where they leveled off (solid arrows) was used for construction of static PV curves. The dimensional traces (D-L1 and D-L2, referring to the thickness measurements) remained stable during this latter phase indicating an unaltered hepatic blood volume, which suggests a delayed compliance of the hepatic vasculature.

To assess Phd, circulatory isolation of the liver was then performed by simultaneously occluding hepatic inflow and outflow during recording of hepatic pressures and volume (Fig. 3). The Phd estimate thus obtained was corrected for any alterations in hepatic volume caused by the occlusion procedure and used as reference when evaluating the continuous pressure measurements during free flow. To construct static PV curves, additional PV data at increasing liver volumes were obtained by occluding hepatic inflow after 2-, 5-, 10-, and 15-s duration of hepatic outflow occlusion. The individual PV data were obtained at 5-min intervals to allow hemodynamic restitution between measurements. A representative collage of hepatic pressures and thickness recordings from one pig is shown in Fig. 3. The collage clearly demonstrates that circulatory isolation of the liver obtained by occlusion of hepatic inflow during ongoing outflow occlusion induces a rapid equilibration of hepatic pressures. The pressures then gradually declined in unison before leveling off. The hepatic pressure and volume estimate used in the construction of static PV curves were taken at the point where the hepatic pressures leveled off (Fig. 3, solid arrows). To assess which pressure best reflected Phd during the outflow occlusion procedure used for construction of dynamic PV curves, the hepatic pressures recorded immediately before inflow occlusion were compared with the initial equilibration point where Ppv equaled Phv (Fig. 3, open arrows).

The animals were then permitted 15 min of rest before the start of an intraportal infusion of 0.5 µg · kg body wt-1 · min-1 of NE. After a 5-min period of stabile infusion, we measured the same sequence of measurements performed as described during baseline. At the end of the experiments, the animals were euthanized with a lethal intravenous dose of pentobarbital. All measurements except CO determinations were done with the respirator temporarily disconnected and recorded on a Gould ES2000 (Gould Instrument Systems, Cleveland, OH), digitized, and subsequently analyzed off-line using CVSOFT (version 2.2, Odessa Computer Systems, Calgary, Canada). Paper recordings were obtained simultaneously for backup and verification of the digitized data.

Statistical analysis. Data are reported as means ± SE unless otherwise specified. A two-tailed paired t-test was used to compare baseline and NE values and to compare individual static and dynamic capacitance data. Bland-Altman (2) analyses were used to further assess the agreement between the two methods and to explore any systematic deviations between the methods. Departure from zero of the pressure-gradients between Phd and the other hepatic pressures was tested using a two-tailed one-sample t-test. Multiple regression analyses with dummy variables to correct for between-animal variations were used to compare the actual PV curves and predict mean PV curves with confidence intervals from the two methods. A P value < 0.05 was considered statistically significant. All statistical analyses were performed using the SPSS statistical software (version 8.0, SPSS, Chicago, IL).


    RESULTS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Assessment of Phd and resistance during free flow. Compared with baseline, NE induced a 46% increase in Ppv (P < 0.01), a 25% increase in Phlv (P = 0.03), a 20% increase in Phd (P = 0.02), and a 15% increase in Ppvw [not significant (NS)], whereas Phv values were unchanged (absolute values in Table 1). The Ppv to Phd gradient increased from 0.7 ± 0.3 mmHg at baseline to 2.9 ± 0.7 mmHg during NE (P < 0.001). In comparison, the Phd-to-Phv gradient increased from 1.1 ± 0.2 to 2.1 ± 0.5 mmHg (NS). As illustrated in Fig. 4 and Table 1, both Ppv and Phv differed significantly from Phd. Ppvw and Phlv, on the other hand, yielded similar mean pressures as Phd both at baseline and during NE infusion with standard errors of the estimates < 0.5 mmHg. Furthermore, Bland-Altman analyses showed good agreement and no systematic deviations in comparing Phd with Phlv (Fig. 5) and comparing Phd with Ppvw (data not shown). Portal venous and hepatic arterial flows did not change significantly with NE. Thus NE infusion induced a 2.7-fold (P < 0.01) increase in total hepatic resistance, a 5.2-fold (P = 0.04) increase in Rpv, and a 2.7-fold increase (P < 0.03) in Rhv. Rha increased 1.4-fold (NS). Rhlv was very low and did not change with NE infusion.

                              
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Table 1.   Hemodynamic variables in 6 pigs before and during infusion of norepinephrine



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Fig. 4.   Difference between the individual pressures and the mean Phd during free flow. *P < 0.05 vs. mean hepatic distending pressure, § P < 0.05 vs. baseline.



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Fig. 5.   Bland-Altman plot showing the agreement between mean Phd measured during circulatory isolation of the liver and Phlv measured during free hepatic flow. , Baseline; , NE infusion. CI, confidence interval.

Assessment of Phd during outflow occlusion. With outflow occlusion during baseline, there was a rapid equilibration between Phv and Phlv, and both equaled Phd. Furthermore, only a modest gradient existed between Ppv and the other pressures (Fig. 6A). With outflow occlusion during NE infusion (Fig. 6B), there was also a rapid equilibration between Phlv and Phv, and both compared well with Phd with standard errors of the estimates < 0.3 and 0.5 mmHg, respectively. However, Ppv differed significantly from the other pressures at all time points. Ppvw measurements during outflow occlusion were unreliable because outflow occlusion often caused the catheter to dislodge from its wedged position.


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Fig. 6.   Hepatic pressures during vascular outflow occlusion and isolation of the liver at baseline (A) and during NE infusion (B). The curves depict the mean pressures from the Ppv, Phlv, and the Phv during free flow (two first points) and later during increasing duration of outflow occlusion. Circulatory isolation of the liver was subsequently achieved at each point by occlusion of hepatic vascular inflow. The resulting equilibration pressure, i.e., the mean Phd is shown as individual points with 95% CI. Note the rapid equilibration between Phlv and Phv during outflow occlusion both at baseline and during NE infusion and their close resemblance with Phd. In contrast, Ppv differ significantly from Phd at all time points.

The pressure equilibration showed a consistent pattern during occlusion of hepatic vascular outflow and inflow (Fig. 3). With outflow occlusion, the Phv and Phlv equilibrated almost instantaneously both at baseline and during NE infusion, whereas a significant gradient persisted toward the Ppv. With subsequent occlusion of hepatic inflow, Ppv fell rapidly toward the level of Phlv and Phv (initial equilibration point, used for evaluating the pressure gradients; open arrows in Fig. 3). Thereafter the pressures gradually declined in unison 0-2 mmHg (median 0.7 mmHg) and started to level off at the point taken as the Phd when calculating the capacitance data (solid arrows in Fig. 3).

Assessment of hepatic compliance and unstressed volume. NE infusion caused a parallel shift of the PV curve versus baseline, indicated by an unaltered hepatic compliance of 31.5 ± 1.8 versus 31.2 ± 1.3 ml · mmHg-1 · kg liver-1 (NS), a reduced unstressed blood volume of -3 ± 45 versus 107 ± 10 ml/kg liver (P < 0.05), and a reduced capacity at 7 mmHg of 232 ± 26 versus 358 ± 10 ml/kg liver (P < 0.01).

There were no significant differences among hepatic compliance, unstressed blood volume, and capacity calculated from dynamic and static PV curves (Table 2). Bland-Altman analyses showed good agreement and no systematic deviations between the two methods in predicting hepatic vascular compliance (Fig. 7A) and unstressed blood volume (Fig. 7B) with mean differences of -0.09 ml · mmHg-1 · kg body wt-1 and 0.08 ml/kg body wt, respectively. We further compared the PV curves from the two methods using multiple regression analysis with dummy variables to correct for between-animal variation. Again, there was a good agreement between dynamic and static PV measurements with both methods clearly demonstrating the NE-induced parallel shifting of the PV curve toward the pressure axis (Fig. 8, A and B, respectively).

                              
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Table 2.   Dynamic vs. static capacitance data in 6 pigs before and during infusion of norepinephrine



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Fig. 7.   Bland-Altman plots showing the agreement between dynamic and static PV-measurements. A: hepatic vascular compliance, B: hepatic unstressed blood volume.  Baseline, , NE infusion.



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Fig. 8.   PV curves from dynamic (A) and static (B) PV-measurements. Mean PV curves with 95% CI at baseline (solid line) and NE infusion (gray line) based on multiple regression analysis with dummy variables to correct for between-animal variations. Equations with r2 values from the respective multiple regression analyses are presented on the corresponding figures.


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Hepatic distending pressure. We have used the equlibration pressure during complete circulatory isolation of the liver as a reference method for estimating the mean Phd. The sinusoids appear to represent the main hepatic blood volume compartment (4, 21), and one can therefore expect the operating distending pressure within the sinusoids to be a major determinant of the Phd. This is supported by the Shibamoto et al. study (28), which concluded that Phd (called the "triple occlusion pressure") closely resembled sinusoidal pressure. However, the determination of Phd require extensive instrumentation of the animal to enable complete circulatory isolation of the liver. Furthermore, only intermittent determinations can be performed. In the present study we have therefore compared this reference estimate with continuous pressure measurements during free flow through the liver. Phlv was overall the best estimate of Phd [95% confidence interval (CI) for the difference: -0.6 to 0.3]. Ppvw also showed a good agreement with Phd during free flow, but its measurement during outflow occlusion was unreliable. Ppv and Phv differed significantly from Phd during free flow. Our findings that Phlv was a good estimate of Phd both at baseline and during NE infusion is in agreement with the micropipette study of Maass-Moreno and Rothe (16) observing only minor differences between sinusoidal and hepatic venular pressures. However, it contrasts somewhat with the observations of Lautt and colleagues (12, 14), who found only minor differences between Ppv and Phlv in cats and dogs. This may relate to the size of the catheter relative to the vessel diameter as described by Maass-Moreno and Rothe (15). By the aid of a hydraulic and a mathematical model, they found that the use of catheters with an outer diameter exceeding 60% of the inner diameter of the vessel result in significant overestimation of Phlv. We measured Phlv with a micromanometer-tip catheter, which has its pressure sensor located on the side of the catheter tip with a diameter of only 30% of the 6.5-Fr catheter used to introduce it, thus minimizing the chance of a wedged position in the hepatic lobar vein. The resulting Phlv measurements relative to Ppv and Phv in the present study compare well to the values of hepatic venular pressures reported from micropipette studies in other animals both at baseline and during NE infusion (3, 27). Positioning of the Phlv catheter is easily performed under fluoroscopic guidance and does not require a laparotomy. This technique therefore represents a feasible way of estimating sinusoidal pressure in animals and human subjects.

Hepatic resistance. We found an overall increase in hepatic resistance with NE infusion. Again, taking Phd as an estimate of sinusoidal pressure, we calculated the resistances of the various hepatic vascular segments. We found a relative increase in Rpv that was nearly twice the increase in Rhv during NE infusion. This is consistent with the study by Shibamoto et al. (28), and with the findings from micropipette studies (3, 27), lending credence to the presented methodology. The Rhlv was low at baseline and did not increase with NE infusion. Not having an exact anatomical localization of Phd makes an interpretation of Rhlv difficult. Most likely it reflects the resistance in only a distal part of the sinusoidal circulation. However, our findings are not compatible with a major resistance site at the sinusoidal outlet into the hepatic lobar veins. Furthermore, contrary to studies in other species (11-14), we could not detect any step-wise pressure drops suggestive of localized sphincters in the hepatic veins during withdrawal of the Phv catheter from its wedged position, neither at baseline (Fig. 1) nor during NE infusion (data not shown). Finally, the observed mechanism of action of NE with a generalized vasoconstriction appearing most prominent in the portal vein and upstream sinusoids is perfectly suited for an agent intended to mobilize blood from the liver.

Hepatic compliance and unstressed volume. As illustrated in Fig. 3, the estimation of a static PV point requires an initial occlusion of hepatic outflow of varying duration before occlusion of inflow. With inflow occlusion there is an initial rapid equilibration of the hepatic pressures after which the pressures decline in unison over a period of 4-8 s before stabilizing. During this time the hepatic dimensions remain stable suggesting a delayed compliance, i.e., the relaxation of a vessel requires a finite time for completion in response to rapid increases in pressure. Thus dynamic PV curves would tend to overestimate distending pressure with the slope of the PV curves being less steep, i.e., have a lower compliance than the static PV curves. On the other hand, the longer occlusion time needed for pressure equilibration and stabilization after circulatory isolation could activate cardiovascular reflexes to a larger degree than occlusion of outflow alone. Increased reflex activity would be expected to contract hepatic capacitance vessels and thus increase Phd. The compliance estimates from the two methods were essentially similar with a mean overall difference of 0.1 ml · mmHg-1 · kg body wt-1 (NS). This suggests that the effects of delayed compliance on dynamic PV curves and the effect of augmented reflex activation on static PV curves, if present to any degree, counteract each other. Furthermore, there were no significant differences between the two methods in estimating hepatic unstressed volume and hepatic capacity, nor were there any systematic differences between the two methods related to NE infusion.

Baseline compliance and unstressed volume estimates in the present study (31 and 106 ml · mmHg-1 · kg liver-1, respectively) compare well with previous reports (1, 7, 8) with compliance estimates ranging from 26 to 31 ml · mmHg-1 · kg liver-1 and unstressed volume estimates ranging from 104 to 150 ml/kg liver. Greenway et al. (8) also reported similar effects of NE infusion with unstressed volume reduced to -15 ml/kg liver (-3 ml · mmHg-1 · kg liver-1 in the present study). We therefore conclude that dynamic and static PV curves yield comparable and valid estimates of changes in hepatic compliance and unstressed volume. However, we find the dynamic approach preferable due to the speed and ease with which a PV curve can be constructed. The recording of a sufficient number of PV points to construct a reliable static PV curve is time consuming because hemodynamic restitution must be allowed between the determination of each point. In the present study, each dynamic PV curve was acquired from a single 15-s period of hepatic outflow occlusion, whereas each 5-point static PV curve took about 25 min to obtain (allowing 5 min of restitution between each individual measurement point).

Limitations of the study. Sonomicrometry is a reproducible method to estimate changes in hepatic vascular volume in the pig model. However, the method is limited by not being able to measure total hepatic vascular volume. To ease data analysis and presentation, we have chosen to assume a standardized value for total hepatic vascular volume at baseline. Thus the absolute values presented for total hepatic volume, unstressed volume, and capacity may deviate somewhat from the true physiological value. However, the relative changes in these parameters are accurate and constitute the basis for our conclusions.

The PV curve intercepts were taken as estimates of hepatic unstressed volume. The values for unstressed volume are thus based on the assumption of a linear PV relationship all the way down to zero pressure. A nonlinear PV relationship may well exist in the low-pressure range and could explain the finding of negative unstressed volumes during NE infusion by us and others (8), which is a physiological impossibility. However, because the PV curve is near linear in the operating pressure range (10), the PV-curve intercept is a valid parameter characterizing the PV relationship in the operating pressure range, even though it may not accurately reflect the true unstressed blood volume, i.e., the volume contained in the vasculature at zero distending pressure.

In summary, Phlv measured by a 2-Fr micromanometer-tipped catheter closely resembled the equilibrium pressure during hepatic circulatory isolation. The observed pressures and the calculated distribution of hepatic resistance in our study are comparable to previously published studies where hepatic microvascular pressures were measured directly. We therefore conclude that the measurement of Phlv is a simple and reliable way of estimating sinusoidal pressure in the porcine liver. Dynamic PV curves constructed from continuous measurements of Phv and hepatic volume during brief occlusions of hepatic vascular outflow were similar to static PV curves. Estimates of hepatic compliance, unstressed blood volume, and capacity from the two methods were in good agreement, with no systematic differences. We therefore conclude that the construction of dynamic PV curves is a fast, convenient, and valid way to quantify hepatic vascular compliance and estimate changes in unstressed volume.


    ACKNOWLEDGEMENTS

The authors thank Roger Ødegård for technical assistance.


    FOOTNOTES

H. Kjekshus was supported by a fellowship from the Norwegian Council for Cardiovascular Diseases, and T. Scholz was supported by a fellowship from the University of Oslo. This study was also funded by the Blix Family Fund for the Promotion of Science, Oslo.

Address for reprint requests and other correspondence: H. Kjekshus, Institute for Surgical Research, The National Hospital, N-0027 Oslo, Norway (E-mail: harald.kjekshus{at}klinmed.uio.no).

The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Received 14 April 1999; accepted in final form 17 April 2000.


    REFERENCES
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
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Am J Physiol Heart Circ Physiol 279(4):H1796-H1803
0363-6135/00 $5.00 Copyright © 2000 the American Physiological Society




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