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Department of Anesthesiology and Mary Beth Donnelley Clinical Pharmacology Core Facility, Northwestern University Feinberg School of Medicine, Chicago, Illinois (M.J.A., T.C.K.); Department of Anesthesiology, University of Colorado Health Sciences Center, Denver, Colorado (T.K.H.); Alexza Pharmaceuticals, Inc., Palo Alto, California (D.A.S., P.M.L., J.V.C.); and Department of Chemistry and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey (J.D.R.)
(Received April 17, 2006; accepted October 31, 2006)
| Abstract |
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A thermal aerosol generation process analogous to smoking can deliver pure drug substance reliably to the alveoli without thermal degradation products (Rabinowitz et al., 2004
). Rapid vaporization of a thin film of drug at a relatively low temperature produces a pure drug vapor that cools and condenses into 1- to 3-µm-diameter aerosol particles. Because these particles are inhaled in one breath and absorbed systemically, this process can produce peak plasma drug concentrations in less than 60 s.
Others have attempted to model systemic drug disposition after aerosolized drug input. Mather et al. (1998
) reported the limitations of assuming first-order absorption in fitting aerosol data. They observed that pulmonary drug absorption might be better described with a multiphasic input, but had not collected blood samples early enough or often enough to allow them to do this. We have developed a recirculatory pharmacokinetic model that is capable of describing drug distribution from the moment of rapid intravenous administration (Krejcie et al., 1996a
, 1997
; Avram et al., 1997
) and can be readily adapted to describe the rapid uptake of an aerosol. Nondiscrete delay elements are important components of recirculatory models, enabling description of pulmonary blood flow (cardiac output) and alveolar drug distribution volume, and should be able to describe pulmonary drug uptake as a multiphasic input (Figs. 1 and 2). Drug disposition in the early moments after rapid intravenous or aerosol administration (front-end kinetics) described by the recirculatory model is a major determinant of the rate of onset of effect for a drug with a rapid onset of action (Krejcie and Avram, 1999
).
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The purpose of this study was to develop a recirculatory model to describe the pharmacokinetics of prochlorperazine from the moment of administration either as a rapid intravenous infusion or as a thermally generated aerosol to dogs. The recirculatory model was used to quantitate the bioavailability of prochlorperazine, which was also measured in the usual manner. The results of the recirculatory pharmacokinetic model were then compared with those of a standard three-compartment pharmacokinetic model of the venous data.
| Materials and Methods |
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On the day of the study, after an overnight fast during which the dog was allowed water ad libitum, the animal was brought to the laboratory where it was premedicated with atropine sulfate (0.02 mg/kg i.m.) and acepromazine (0.2 mg/kg i.m.). Ten minutes later, anesthesia was induced with propofol (48 mg/kg i.v.), the trachea was intubated, and anesthesia was maintained with isoflurane delivered through a volume-regulated ventilator. Hydration was maintained with lactated Ringer's solution administered intravenously at a rate of 5 ml/kg/h.
Catheters for pharmacokinetic blood sampling were placed into the left ventricle via carotid arteriotomy and into a jugular vein before administering each dose. The left ventricular catheter was removed after collecting the 10-min left ventricular blood sample. The jugular venous catheter was removed between 30 and 60 min, and subsequent venous samples were drawn from the cephalic vein at a forelimb.
Left ventricular and jugular venous blood samples were collected before each treatment. Left ventricular samples were then collected every 5 s after beginning each treatment to 30 s, then every 10 s to 60 s, at 75, 90, 120, 150, and 180 s, and at 5 and 10 min. Venous blood samples were collected at 15, 30, 60, 120, and 180 s, at 5, 10, 20, 30, 60, 120, and 240 min, and at 8, 12, 16, and 24 h after commencing drug administration.
Analytical Methods. Plasma prochlorperazine concentrations were measured by CTBR Bio-Research Inc. (Senneville, QC, Canada), using liquid chromatography-tandem mass spectrometry after sample preparation by solid-phase extraction. In brief, 100 µl of 1.6 µg/ml 2H3-prochlorperazine (internal standard) solution was mixed with 400 µl of all plasma samples, which were then alkalinized with 1 M sodium bicarbonate, and applied to conditioned Oasis HLB solid-phase extraction columns (Waters Chromatography, Milford, MA) from which they were eluted with 400 µl of acetonitrile after a water wash. Extracts were analyzed by an API 3000 LC-MS/MS system (MDS Sciex, Concord, ON, Canada) equipped with an Agilent 1100 series HPLC system (Agilent Technologies, Santa Clara, CA). Samples were subjected to gradient elution from a Synergi 4 µm Hydro-RP 80A column (50 x 3.0 mm; Phenomenex, Torrance, CA) with a mobile phase consisting of 10 mM ammonium acetate in water, pH 3 (solvent A) and 0.05% formic acid in acetonitrile (solvent B) (gradient 30% solvent B to 0.5 min, 3090% solvent B from 0.5 to 3.0 min, and 90% solvent B to 5 min) at a flow rate of 0.5 ml/min. The turboionspray source of the tandem mass spectrometer was operated in the positive ionization mode. The mass-to-charge ratio of the precursor-to-product ion reaction monitored for prochlorperazine was 374.2
140.8. Drug concentrations were calculated by comparing prochlorperazine/internal standard ratios to a standard curve (2.0400 ng/ml prochlorperazine) prepared in dog plasma. The prochlorperazine retention time was 3.39 min. The limit of quantitation of the plasma prochlorperazine assay was 2.0 ng/ml with intra-assay coefficients of variation ranging from 4.6 to 12.6% and interassay coefficients of variation ranging from 8.6 to 12.0%.
Pharmacokinetic Models. Plasma prochlorperazine concentration versus time relationships were modeled in two ways, both using the SAAM II software system (SAAM Institute, University of Washington, Seattle, WA) implemented on a Windows-based (Microsoft, Redmond, WA) personal computer. Left ventricular and venous plasma drug concentrations were modeled with a modification of the recirculatory compartmental pharmacokinetic model used previously to model plasma arterial and venous lidocaine concentrations (Fig. 1) (Krejcie et al., 1997
), as described below. Plasma drug concentrations were also modeled with a traditional three-compartment mammillary pharmacokinetic model (Fig. 2). In both models, aerosol drug absorption was described using a tanks-in-series delay element (represented by a rectangle with two cells) to characterize the noninstantaneous first appearance of the drug in the body. In these models, the rate constants kin and kout determine only the fraction of the drug absorbed (bioavailability), as described below; the rate of absorption is characterized by the delay element and the associated mean transit time, which is also described below. The SAAM II objective function used was the extended least-squares maximum likelihood function using data weighted with the inverse of the model-based variance of the data at the observation times (Barrett et al., 1998
). Systematic deviations of observed data from the calculated values were sought using the one-tailed one-sample runs test (results not shown), with p < 0.05, corrected for multiple applications of the runs test, as the criterion for rejection of the null hypothesis. Model misspecification was sought by visual inspection of the measured and predicted drug concentrations versus time relationships.
Model fits to the data were assessed on the basis of the coefficients of variation associated with the adjustable parameters for each model (Metzler, 1986
). The fits of the models were also assessed by calculating the adjusted r2 (r2Adj) for each model for each animal. The "adjustment" makes r2 more comparable over model fits with different numbers of observations by using the degrees of freedom in its computation. It is a ratio of mean squares instead of sums of squares and is calculated as 1(Mean Square Error)/(Mean Square Corrected Total).
Data collected after both the 5-s intravenous drug administration and the crossover aerosol drug administration were modeled simultaneously for each dog. Because bioavailability of the intravenously administered dose was assumed to be 100%, simultaneous estimation of pharmacokinetic parameters for both routes of administration permitted calculation of the bioavailability of the emitted prochlorperazine aerosol dose (FAero):
![]() | (1) |

values of the plasma drug concentration histories were consistent with the administered doses (FAeroDoseAero/AUCAero 0
= Dosei.v./AUCi.v. 0
).
A recirculatory multicompartmental model of drug disposition based on frequent early left ventricular blood sampling (Fig. 1) is able to describe drug disposition from the moment of administration (Krejcie et al., 1996a
; Krejcie and Avram, 1999
). Fitting the recirculatory pharmacokinetic model to the data began with fitting the first-pass data using the distributed delay elements of the SAAM II kinetic analysis software (Krejcie et al., 1996b
). These delay elements are composed of n compartments connected by identical rate constants k such that n/k is equal to the mean transit time (MTT) for the delay. Since the number of compartments, n, in a model is not adjustable during parameter optimization, we fit closed form equations for distributed delays in sequence to the first-pass data using TableCurve2D software (ver 5.0; Systat Software, Inc., Point Richmond, CA). First, left ventricular prochlorperazine concentration versus time data before evidence of recirculation (i.e., first-pass data) for the 5-s intravenous administration dose and the aerosol dose were weighted uniformly and each fit by a gamma distribution function, which allows n to be any positive value (i.e., permits fractional compartments):
![]() | (2) |
From these first-pass left ventricular fits, we determined cardiac output, FAero, the model-predicted maximum left ventricular plasma prochlorperazine concentration (Cmax) and its associated time (tmax), the mean transit times from sites of drug administration to the left ventricle, and the central compartment volume (VC) of each model for the two routes of administration.
Cardiac output (C.O.) was estimated from the prochlorperazine dose (Dosei.v.) and the area under the first-pass left ventricular plasma prochlorperazine concentration versus time relationship (AUCi.v. First-pass) after the 5-s intravenous administration (Meier and Zierler, 1954
):
![]() | (3) |
Bioavailability of the aerosol dose (FAero) was calculated from the cardiac output and the area under the first-pass left ventricular plasma prochlorperazine concentration versus time relationship after aerosol administration (AUCAero First-pass) of the nominal aerosol dose (DoseAero). Since the estimated absorbed dose (Dose EstAero) is equal to the product of cardiac output and AUCAero First-pass,
![]() | (4) |
To estimate the central compartment volumes for the 5-s intravenous dose administration data and the aerosol dose administration data (VC-i.v. and VC-Aero, respectively), it was first necessary to calculate the mean transit times for the two routes of administration. MTTs were calculated from the number of cells in the central delay element (n from the Erlang distribution function) and the rate constant exiting each cell (k from the Erlang distribution function):
![]() | (5) |
![]() | (6) |
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| Results |
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Table 2 shows the recirculatory model parameters. Although there were slight systematic errors in the fit of the recirculatory model to the very early left ventricular and venous plasma drug concentrations, simultaneous recirculatory modeling of both left ventricular and venous plasma prochlorperazine concentration versus time data collected after aerosol administration and intravenous injection resulted in a good fit of the model to the data for each dog (Fig. 3). The r2Adj values for the fit of the recirculatory model to the data were all 0.89 or higher (Table 2). Eighty-two percent of the coefficients of variation associated with the seven adjustable parameter estimates for the recirculatory model of each dog (i.e., 23 of the 28 parameters for the four dogs) were less than 0.20, and all but one were less than 0.41. The maximum left ventricular plasma drug concentrations (Cmax) predicted by the recirculatory model were approximately 3300 and 3200 ng/ml, whereas the respective predicted times to maximum concentrations (tmax) averaged 34 and 22.5 s for prochlorperazine delivered as a 5-s intravenous infusion and as a thermally generated aerosol in a single breath to dogs (Table 1).
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Simultaneous modeling of data collected after both the 5-s intravenous and the single breath aerosol drug administration with a traditional three-compartment mammillary pharmacokinetic model (Fig. 2) also resulted in a good fit of the model to the data for each dog (Fig. 4). Ninety-four percent of the coefficients of variation associated with the nine adjustable parameter estimates for the three-compartment model of each dog (i.e., 30 of the 36 parameters for the four dogs) were less than 0.60 and all were less than 0.75. The three-compartment pharmacokinetic model parameters are summarized in Table 2. In addition to its inability to describe the very early drug concentrations observed after rapid intravenous and aerosol drug administration (Fig. 4) (which is reflected in the smaller adjusted r2Adj for the three-compartment models in Table 2), the three-compartment description of drug distribution differs from that of the recirculatory model in several ways. The most important differences are its 2-fold higher estimate of VT-F and its 4-fold higher estimate of CLT-F, as a result of which the sum of intercompartmental clearances,
CL, is 33% higher than cardiac output.
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Bioavailability estimates are based on the 6.71-mg emitted dose of prochlorperazine aerosol (see footnote 1) (Table 3). The recirculation model provides estimates of bioavailability based on first-pass data (eq. 3) as well as the model (eq. 1). The bioavailability (mean ± S.D.) estimated from first-pass data, 84 ± 29% (range 44105%), was similar to that estimated by the model, 85 ± 19% (range 5799%) but was more variable. The mean transit time of the absorption delay element of the recirculatory model was 0.55 ± 0.05 min (range 0.500.59 min). Bioavailability estimated for the three-compartment model was 81 ± 9% (range 7493%), whereas the mean transit time of the absorption delay element was 0.74 ± 0.13 min (range 0.570.88 min). Bioavailability estimated by noncompartmental analysis was 84 ± 16% (range 74108%).
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| Discussion |
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The present study is, to our knowledge, the first to describe the uptake, distribution, and bioavailability of a drug administered as a thermally generated aerosol in a single breath with a recirculatory pharmacokinetic model. The good simultaneous fit of the recirculatory model to both venous and left ventricular plasma prochlorperazine concentration versus time data after aerosol and rapid intravenous drug administration (Fig. 3) suggests that the distribution pharmacokinetics of the drug is unaffected by the route of administration. This is confirmed by the simultaneous fit of the three-compartment pharmacokinetic model to venous plasma prochlorperazine concentration versus time data after both aerosol and rapid intravenous administration without systematic deviations of the observed data from the calculated values or model misspecification (Fig. 4).
The average bioavailability of prochlorperazine administered as a thermally generated aerosol to dogs estimated by all four methods was 81 to 85% of the emitted dose. The similarity of the estimates of bioavailability determined by the first-pass AUC and the AUC of the entire disposition model indicates that virtually all systemic absorption of prochlorperazine was via immediate pulmonary alveolar uptake. The possibility of absorption via slower sites (e.g., the airway mucosa) could not be examined in the present study because the drug was administered through an endotracheal tube.
Others have studied the systemic delivery of a drug as an aerosol. Mather et al. (1998
) studied fentanyl, a basic amine like prochlorperazine, administered as an aerosol by a metered dose oral inhaler. They reported that pulmonary and intravenous fentanyl administration produced similar plasma drug concentrations. Although they reported total bioavailability of the various doses of aerosolized fentanyl to be 81 ± 32%, only approximately 55% of the dose was absorbed in the first 5 min. Unlike the present study, the study by Mather et al. (1998
) was not able to model pulmonary drug delivery because they started sampling too late and too infrequently after drug administration.
The frequent left ventricular and venous sampling in the current study was critical to enabling accurate modeling of pulmonary drug absorption. Nondiscrete (i.e., tanks-in-series) delay elements in the mammillary and recirculatory models enabled description of pulmonary uptake of the drug aerosol. In addition, the delay elements of the recirculatory model characterized pulmonary blood flow (cardiac output), central volume, and nondistributive blood flow. The delays in these models provide drug molecule transit-time frequency histograms that portray the fraction of drug molecules that arrive at the sampling point over time and is described statistically by a gamma distribution function. For a tanks-in-series delay element, such as those used in the present pharmacokinetic models (Figs. 1 and 2), an Erlang frequency distribution is used because the number of cells in the delay has to be an integer value. Because this is a statistical description, the AUC for a gamma or Erlang distribution is one (i.e., the fraction of molecules arriving after an infinite amount of time is one). Therefore, to describe the concentration-time profile, the frequency distribution function is scaled (i.e., it is multiplied by the actual AUC of the drug). There is only one fastest transit time (discrete lag), but some transits can be quite delayed. This results in a distribution that is skewed to the right. For a right-skewed distribution, the mean value (mean transit time) is longer than (to the right of) the peak concentration (Cmax or the mode of the frequency distribution). As a result, the times to peak or maximum concentrations, tmax (Table 1), are shorter than the corresponding mean transit times (Table 3).
The delay times estimated independently here for prochlorperazine by both the recirculatory and three-compartment models were less than 1 min (Table 3). The slightly longer estimated delay time of the three-compartment model may reflect the less frequently sampled venous plasma drug concentrations compared with the more frequently sampled left ventricular plasma drug concentrations from which the shorter estimates of the recirculatory model were derived.
In each dog, for the single breath aerosol compared with 5-s intravenous administration, the first-pass left ventricular mean transit time was shorter (0.55 ± 0.04 min versus 0.70 ± 0.21 min, respectively) and the Vc smaller (1.64 ± 0.57 liters versus 1.98 ± 0.43 liters, respectively; Table 2). These differences are consistent with the circulatory anatomy. The intravenous dose transited a portion of the systemic venous drainage, the right heart, the pulmonary artery, and pulmonary arterioles in addition to transiting alveolar capillaries, pulmonary veins, and the left heart and distributing to alveolar tissue like the single breath aerosol dose. The difference between the mean transit times for the respective dosing routes can, therefore, be viewed as the time required for the intravenous dose to transit these additional pathway components, whereas the difference between the VC values represents venous, right heart, and pulmonary artery volumes.
The simultaneous fit of the left ventricular and venous plasma prochlorperazine concentration data with the recirculatory model uses the same modeling approach that we applied to intravenously administered lidocaine and antipyrine (Krejcie et al., 1997
). Nonetheless, there were some aspects of this recirculatory modeling that merit comment.
Arterial drug concentrations versus time data collected before recirculation were fit to the sum of two Erlang distributions in our earlier studies in dogs (e.g., Krejcie et al., 1996a
,b
, 1997
; Avram et al., 1997
, 2000
) and humans (Avram et al., 2004
). The choice of the dual central circulation pathway model over a single pathway model in those studies was based on both subjective and statistical assessments (Krejcie et al., 1996b
). The frequency of arterial blood sample collection in those studies, typically every 2 s for the first 30 s and every 4 s for the next 32 s, made the dual pathway model the parsimonious choice. In the present study, left ventricular blood samples drawn every 5 s for the first 30 s and then every 10 to 60 s did not support choosing a dual central circulation pathway model rather than a single pathway model on either subjective or statistical grounds. This single delay may contribute to the systematic errors in the fit of the recirculatory model to the very early left ventricular and venous plasma drug concentrations (Fig. 3).
The description of prochlorperazine pharmacokinetics by the recirculatory compartmental model (Fig. 1) is similar to those estimated by the traditional three-compartment pharmacokinetic model (Fig. 2) as seen in Table 2. The principal difference in parameter estimates between the two models is in the volume of the rapidly (fast) equilibrating tissue compartment (VT-F) and the intercompartmental clearance to that compartment, CLT-F. We have demonstrated that nonrecirculatory compartmental models based on drug concentration histories obtained after rapid intravenous administration overestimate not only initial distribution volume, VC, but also VT-F and CLT-F (Avram and Krejcie, 2003
). We have also demonstrated that an accurate description of drug distribution with a traditional compartmental model is best based on drug concentration histories obtained after drug administration by a brief (e.g., a 2-min) infusion (Avram and Krejcie, 2003
).
The present results show that inhalation of thermally generated aerosols can produce left ventricular and venous drug concentration profiles that are similar to those after rapid intravenous administration. They furthermore suggest that pulmonary administration of a thermally generated drug aerosol in a single breath may offer a viable alternative to rapid intravenous administration for drugs requiring rapid and predictable production of effective plasma drug concentrations.
| Footnotes |
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Article, publication date, and citation information can be found at http://dmd.aspetjournals.org.
ABBREVIATIONS: AUC, area under the concentration-time curve; MTT, mean transit time; C.O., cardiac output.
1 The mean ± S.D. emitted aerosol dose of 6.71 ± 0.56 mg and mass median aerodynamic particle diameter (MMAD) of 2.2 ± 0.1 µm are based on an average of three samples taken before and three taken after administration to the dogs. In brief, the emitted aerosol was collected on a filter and the quantity of prochlorperazine collected was measured by high performance liquid chromatography as described in Rabinowitz et al. (2004
). ![]()
Address correspondence to: Dr. Michael J. Avram, Department of Anesthesiology, Northwestern University, Feinberg School of Medicine, 303 E. Chicago Avenue, Ward Building 13-199, Chicago, IL 60611-3008. E-mail: mja190{at}northwestern.edu
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