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Biomedical subjects

D R Stanski

Publications and source records attributed to D R Stanski.

At least 19 recordsLinked to original sources
PubMed1995

Pharmacodynamic modeling of the electroencephalographic effects of flumazenil in healthy volunteers sedated with midazolam.

The purpose of this study was to model pharmacodynamically the reversal of midazolam sedation with flumazenil. Ten human volunteers underwent four different sessions. In session 1, individual midazolam pharmacokinetics and electroencephalographic pharmacodynamics were determined. In sessions 2 and 3, a computer-controlled infusion of midazolam with individual volunteer pharmacokinetic data was administered, targeting a plasma concentration corresponding to a light or deep level of sedation (20% or 80% of the maximal midazolam electroencephalographic effect) for a period of 210 minutes. After obtaining a stable electroencephalographic effect and constant midazolam plasma concentrations, a zero-order infusion of flumazenil was started until complete reversal of midazolam electroencephalographic effect was obtained. The flumazenil infusion was then stopped and the volunteer was allowed to resedate because of the constant midazolam drug effect. The electroencephalographic response was measured during a 180-minute period and analyzed by aperiodic analysis and fast-Fourier transforms. In session 4, a midazolam plasma concentration corresponding to a deep level of sedation was targeted for 210 minutes to examine for the possible development of acute tolerance. No flumazenil was given in session 4. For a light sedation level, with a mean midazolam plasma concentration of 160 +/- 64 ng/ml, the mean half-life of the equilibration rate constant of flumazenil reversal is 5.0 +/- 2.5 minutes, and the mean effect site concentration causing 50% of Emax is 13.7 +/- 5.8 ng/ml. For a deep level of sedation, with a mean midazolam plasma concentration of 551 +/- 196 ng/ml, the mean half-life of the equilibration rate constant is 3.9 +/- 1.5 minutes, and the mean effect site concentration causing 50% of Emax is 20.6 +/- 6.8 ng/ml. This study provides an estimate of the magnitude of the blood/central nervous system equilibration delay for flumazenil antagonism of midazolam sedation and further defines the usefulness of the electroencephalogram as a measure of midazolam pharmacodynamic effect.

Adult↗
PubMed1995

A PC-based graphical simulator for physiological pharmacokinetic models.

Since many intravenous anesthetic drugs alter blood flows, physiologically-based pharmacokinetic models describing drug disposition may be time-varying. Using the commercially available programming software MATLAB, a platform to simulate time-varying physiological pharmacokinetic models was developed. The platform is based upon a library of pharmacokinetic blocks which mimic physiological structure. The blocks can be linked together flexibly to form models for different drugs. Because of MATLAB's additional numerical capabilities (e.g. non-linear optimization), the platform provides a complete graphical microcomputer-based tool for physiologic pharmacokinetic modeling.

Anesthetics↗
PubMed1995

Pharmacokinetic/dynamic assessment in drug development: application to the investigational opioid mirfentanil.

The safety, pharmacokinetics, and pharmacodynamics of the investigational partial opioid agonist, mirfentanil, were determined in a dose-escalating, Phase 1 study in healthy male volunteers. Hemodynamic, central nervous system, and respiratory monitoring were used for safety assessment. The electroencephalogram (EEG) was evaluated as a surrogate measure of drug effect. Butorphanol was chosen as the control drug. In the mirfentanil group (n = 8) the dose was increased in sequential subjects from 25 micrograms.kg-1.min-1 for 30 min to 450 micrograms.kg-1.min-1 for 15 min, and in the butorphanol group (n = 10) from 2 micrograms.kg-1.min-1 for 30 min to 25 micrograms.kg-1.min-1 for 15 min. In the mirfentanil group, serious side effects were observed at plasma concentrations more than 2000 ng/mL: heart rates exceeded 130 bpm (n = 2), epileptiform EEG potentials (n = 2), and a convulsion (n = 1). The clearance of mirfentanil was high (5.8-7.2 L/min), and the volume of distribution large (247-348 L). The EEG of the subjects receiving mirfentanil showed no changes typical for opioids. Butorphanol however, caused intermittent slowing in the delta and theta ranges. The results of our study define the upper limit of safe plasma concentrations in future mirfentanil studies.

Adult↗
PubMed1994

From piecewise to full physiologic pharmacokinetic modeling: applied to thiopental disposition in the rat.

Physiologically based pharmacokinetic modeling procedures employ anatomical tissue weight, blood flow, and steady tissue/blood partition data, often obtained from different sources, to construct a system of differential equations that predict blood and tissue concentrations. Because the system of equations and the number of variables optimized is considerable, physiologic modeling frequently remains a simulation activity where fits to the data are adjusted by eye rather than with a computer-driven optimization algorithm. We propose a new approach to physiological modeling in which we characterize drug disposition in each tissue separately using constrained numerical deconvolution. This technique takes advantage of the fact that the drug concentration time course, CT(t), in a given tissue can be described as the convolution of an input function with the unit disposition function (UDFT) of the drug in the tissue, (i.e., CT(t) = (Ca(t)QT)*UDFT(t) where Ca(t) is the arterial concentration, Q tau is the tissue blood flow and * is the convolution operator). The obtained tissue until disposition function (UDF) for each tissue describes the theoretical disposition of a unit amount of drug infected into the tissue in the absence of recirculation. From the UDF, a parametric model for the intratissue disposition of each tissue can be postulated. Using as input the product of arterial concentration and blood flow, this submodel is fit separately utilizing standard nonlinear regression programs. In a separate step, the entire body is characterized by reassembly of the individuals submodels. Unlike classical physiologic modeling the fit for a given tissue is not dependent on the estimates obtained for other tissues in the model. Additionally, because this method permits examination of individual UDFs, appropriate submodel selection is driven by relevant information. This paper reports our experience with a piecewise modeling approach for thiopental disposition in the rat.

Algorithms↗
PubMed1994

Comparative physiological pharmacokinetics of fentanyl and alfentanil in rats and humans based on parametric single-tissue models.

The objectives of this investigation were to characterize the disposition of fentanyl and alfentanil in 14 tissues in the rat, and to create physiological pharmacokinetic models for these opioids that would be scalable to man. We first created a parametric submodel for the disposition of either drug in each tissue and then assembled these submodels into whole-body models. The disposition of fentanyl and alfentanil in the heart and brain and of fentanyl in the lungs could be described by perfusion-limited 1-compartment models. The disposition of both opioids in all other examined tissues was characterized by 2- or 3-compartment models. From these models, the extraction ratios of the opioids in the various tissues could be calculated, confirming the generally lower extraction of alfentanil as compared to fentanyl. Assembly of the single-tissue models resulted in a wholebody model for fentanyl that accurately described its disposition in the rat. A similar assembly of the tissue models for alfentanil revealed non-first-order elimination kinetics that were not apparent in the blood concentration data. Michaelis-Menten parameters for the hepatic metabolism of alfentanil were determined by iterative optimization of the entire model. The parametric models were finally scaled to describe the disposition of fentanyl and alfentanil in humans.

Alfentanil↗
PubMed1994

Pharmacokinetic-pharmacodynamic modeling in drug development: application to the investigational opioid trefentanil.

OBJECTIVE: We determined the possible benefits of a new opioid, trefentanil, relative to fentanyl and alfentanil using high-resolution pharmacokinetic-pharmacodynamic modeling and computer simulations of clinical dosing scenarios. METHODS: First, we determined in nine volunteers the electroencephalographic (EEG) effects and the trefentanil infusion rate that gave maximal EEG changes in 3 to 10 minutes. Then, in a crossover fashion in five volunteers, we compared the pharmacokinetics and EEG pharmacodynamics of trefentanil with fentanyl and alfentanil. Finally, we used computer simulations to predict offset of opioid effects of trefentanil, fentanyl, and alfentanil when given in different dosing schemes. RESULTS: The pharmacokinetic-pharmacodynamic profile of trefentanil was similar to alfentanil, except for a higher elimination clearance. Trefentanil versus alfentanil pharmacokinetic parameters were as follows: Elimination clearance, 0.444 +/- 0.073 versus 0.184 +/- 0.031 L/min; steady-state distribution volume, 37 +/- 7 versus 23 +/- 3 L; and elimination half-life, 127 +/- 24 versus 114 +/- 19 minutes. Trefentanil versus alfentanil pharmacodynamics were as follows: the equilibration half-time between EEG effect and arterial drug concentration, 1.2 +/- 0.5 versus 0.6 +/- 0.4 minutes; and the concentration resulting in 50% of maximal EEG effect, 429 +/- 313 versus 577 +/- 273 ng/ml. The pharmacokinetic-pharmacodynamic profile of fentanyl was significantly different from trefentanil and alfentanil. Simulation of effect compartment concentration decay curves after variable-length infusions predicted more rapid recovery from trefentanil than from alfentanil or fentanyl. CONCLUSION: We suggest that high-resolution pharmacokinetic-pharmacodynamic studies and computer simulations of clinical dosing scenarios may have significant usefulness in appreciating differences between new and established drugs in early phase I studies.

Adult↗
PubMed1994

Assay methods for sufentanil in plasma. Radioimmunoassay versus gas chromatography-mass spectrometry.

BACKGROUND: The terminal pharmacokinetic parameters of sufentanil have, until now, been poorly characterized. This is probably because of the poor sensitivity or unreliability of the assay methods used. Radioimmunoassay (RIA) can be a very helpful assay method for sufentanil. However, before application to key pharmacokinetic studies, it requires adequate validation, e.g., by comparison with a method of proven sensitivity and specificity, such as gas chromatography-mass spectrometry (GC-MS). METHODS: Spiked control plasma samples and 135 plasma samples obtained from five patients receiving intravenous doses of 500 or 750 micrograms sufentanil, as a 10-20-min infusion, were analyzed by an improved, sensitive RIA and capillary GC-MS. RESULTS: Both techniques had comparable limits of quantitation (0.02 ng/ml). Between-day coefficients of variation in the 0.05-10-ng/ml concentration range were 8.5-10.5% for the RIA and less than 10% for the GC-MS method. The patient plasma concentrations determined by RIA (y) and GC-MS (x) showed a good agreement (y = 1.016x + 0.002) and a correlation coefficient of 0.97. CONCLUSIONS: The results demonstrate the validity of the improved RIA method for the determination of sufentanil plasma concentrations.

Dose-Response Relationship, Drug↗
PubMed1994

Dexmedetomidine decreases thiopental dose requirement and alters distribution pharmacokinetics.

BACKGROUND: alpha 2-Adrenergic agonists such as dexmedetomidine can be used to reduce the dose requirement of intravenous and volatile anesthetics. Whereas dexmedetomidine and volatile anesthetics interact pharmacodynamically (reduction of MAC), the mechanism of interaction between dexmedetomidine and intravenous anesthetics is not known. METHODS: Fourteen male ASA physical status 1 patients were randomly assigned to serve as control subjects (n = 7) or to be treated with dexmedetomidine (n = 7; 100, 30, and 6 ng.kg-1.min-1 for 10 min, 15 min, and thereafter, respectively). After 35 min, in all patients, thiopental (100 mg/min) was infused until burst suppression appeared in the raw tracing of the electroencephalogram. By using concentrations of thiopental in plasma and the electroencephalogram as a continuous pharmacologic effect measure, the apparent effect site concentrations for thiopental were estimated in both groups. Three-compartment pharmacokinetics were calculated for thiopental. RESULTS: Dexmedetomidine reduced the thiopental dose requirement for electroencephalographic burst suppression by 30%. There was no difference in estimated thiopental effect site concentrations between dexmedetomidine and control patients, suggesting the absence of a major pharmacodynamic interaction. Dexmedetomidine significantly decreased distribution volumes (V2, V3, and Vdss) and distribution clearances (Cl12 and Cl13) of thiopental. CONCLUSIONS: The thiopental dose-sparing effect of dexmedetomidine on the electroencephalogram is not the result of a pharmacodynamic interaction but rather can be explained by a dexmedetomidine-induced decrease in thiopental distribution volume and distribution clearances. Dexmedetomidine reduces thiopental distribution, most probably by decreasing cardiac output and regional blood flow.

Adrenergic alpha-Antagonists↗
PubMed1994

Hemodynamic response to induction and intubation. Propofol/fentanyl interaction.

BACKGROUND: When given as an intravenous bolus for induction of anesthesia, propofol can decrease postintubation hypertension but can also create moderate to severe postinduction, preintubation hypotension. The addition of fentanyl usually decreases the postintubation hypertension but can increase the propofol-induced preintubation hypotension. The goal of the study was to determine the relation between propofol and fentanyl doses and the hemodynamic changes post-induction, preintubation and postintubation. METHODS: Twelve groups of 10 patients, ASA physical status 1 or 2, first received fentanyl 0, 2, or 4 micrograms.kg-1 and then 5 min later received propofol 2.0, 2.5, 3.0, or 3.5 mg.kg-1 as an intravenous bolus for induction of anesthesia. Arterial blood pressure was continuously monitored. The trachea was intubated 4 min after propofol administration. RESULTS: The mean decrease in systolic blood pressure after propofol was 28 mmHg when no fentanyl was given, 53 mmHg after 2 microgram.kg-1 of fentanyl (P < 0.05 vs. no fentanyl), and 50 mmHg after 4 micrograms.kg-1 (P < 0.05 vs. no fentanyl; no statistically significant difference 4 vs. 2 micrograms.kg-1). There was no statistically significant difference in hemodynamic response to intubation relative to propofol dose. Hemodynamic response to intubation was decreased by the administration of fentanyl; the mean increase of systolic blood pressure after intubation was 65 mmHg from preintubation value without fentanyl, 50 mmHg after 2 micrograms.kg-1, and 37 mmHg after 4 micrograms.kg-1 (P < 0.05 for 2 and 4 micrograms.kg-1 vs. no fentanyl and for 4 vs. 2 micrograms.kg-1). Hemodynamic changes postintubation were not statistically different with increasing doses of propofol. CONCLUSIONS: Hemodynamic changes after induction with propofol or propofol/fentanyl, pre- or postintubation, are not modified when the propofol dose is increased from 2 to 3.5 mg.kg-1. Maximal hypotension preintubation occurs with a fentanyl dose of 2 micrograms.kg-1, whereas the magnitude of postintubation hypertension is significantly decreased with an increase in the fentanyl dose to 4 micrograms.kg-1.

Adult↗
PubMed1993

Tissue distribution of fentanyl and alfentanil in the rat cannot be described by a blood flow limited model.

Traditionally, physiological pharmacokinetic models assume that arterial blood flow to tissue is the rate-limiting step in the transfer of drug into tissue parenchyma. When this assumption is made the tissue can be described as a well-stirred single compartment. This study presents the tissue washout concentration curves of the two opioid analgesics fentanyl and alfentanil after simultaneous 1-min iv infusions in the rat and explores the feasibility of characterizing their tissue pharmacokinetics, modeling each of the 12 tissues separately, by means of either a one-compartment model or a unit disposition function. The tissue and blood concentrations of the two opioids were measured by gas-liquid chromatography. The well-stirred one-compartment tissue model could reasonably predict the concentration-time course of fentanyl in the heart, pancreas, testes, muscle, and fat, and of alfentanil in the brain and heart only. In most other tissues, the initial uptake of the opioids was considerably lower than predicted by this model. The unit disposition functions of the opioids in each tissue could be estimated by nonparametric numerical deconvolution, using the arterial concentration times tissue blood flow as the input and measured tissue concentrations as the response function. The observed zero-time intercepts of the unit disposition functions were below the theoretical value of one, and were invariably lower for alfentanil than for fentanyl. These findings can be explained by the existence of diffusion barriers within the tissues and they also indicate that alfentanil is less efficiently extracted by the tissue parenchyma than the more lipophilic compound fentanyl. The individual unit disposition functions obtained for fentanyl and alfentanil in 12 rat tissues provide a starting point for the development of models of intratissue kinetics of these opioids. These submodels can then be assembled into full physiological models of drug disposition.

Adipose Tissue↗
PubMed1993

The pharmacokinetics of the new short-acting opioid remifentanil (GI87084B) in healthy adult male volunteers.

BACKGROUND: Remifentanil (GI87084B) is a new short-acting opioid with a unique ester structure. Metabolism of remifentanil by ester hydrolysis results in very rapid elimination. The aim of this study was to characterize in detail the pharmacokinetic profile of remifentanil in healthy male volunteers. METHODS: Ten healthy adult male volunteers received a zero-order infusion of remifentanil at doses ranging from 1 to 8 micrograms.kg-1.min-1 for 20 min. Frequent arterial blood samples were drawn and analyzed by gas chromatographic mass spectroscopy to determine the remifentanil blood concentrations. The raw pharmacokinetic data were analyzed using three different parametric compartmental modeling methods (traditional two-stage, naive pooled data, and NONMEM). The raw pharmacokinetic data also were analyzed using numeric deconvolution and a nonparametric moment technique. A computer simulation using hte pharmacokinetic parameters of the NONMEM compartmental model was performed to provide a more intuitively meaningful and clinically relevant description of the pharmacokinetics. The simulation estimated the time necessary to achieve a 50% decrease in remifentanil concentration after a variable-length infusion. RESULTS: For each parametric method, a three-compartment mamillary model that accurately describes remifentanil's concentration decay curve was constructed. The NONMEM analysis population pharmacokinetic parameters included a central clearance of 2.8 l/min, a volume of distribution at steady state of 32.8 l, and a terminal half-life of 48 min. The mean results of the nonparametric moment analysis included a clearance of 2.9 l/min, a volume of distribution at steady state of 31.8 l, and a mean residence time of 10.9 min. The computer simulation revealed the strikingly unique pharmacokinetic profile of remifentanil compared to that of the currently available fentanyl family of opioids. CONCLUSIONS: Remifentanil is a new, short-acting opioid with promising clinical potential in anesthesiology.

Adult↗
PubMed1993

Pharmacokinetics of alfentanil administered at a variable rate during three types of surgery.

To determine if the pharmacokinetics of alfentanil varied with the type of surgery (site of operation and intensity of surgical stimulation) or with the mode of administration, three groups of patients were given a variable-rate infusion of alfentanil (supplemented with bolus injections) as an adjunct to nitrous oxide-oxygen anaesthesia for breast surgery, lower abdominal surgery, or upper abdominal surgery. A two-compartment pharmacokinetic model adequately characterized the plasma concentration profiles of alfentanil for 31 of 34 patients. Mean distribution half-life (6 min), elimination half-life (87 min), initial volume of distribution (10 litres), steady state volume of distribution (31 litres), total body clearance (308 ml min-1), and distribution clearance (656 ml min-1) did not vary with the type of surgery. The pharmacokinetics could not be determined for three patients undergoing upper abdominal surgery, probably because of nonstationarity. Comparison of our data with those obtained after a single bolus injection or a constant-rate infusion indicates that the pharmacokinetics of alfentanil do not vary with the mode of administration.

Abdomen↗
PubMed1992

Plasma concentration clamping in the rat using a computer-controlled infusion pump.

We have developed a computer-controlled infusion pump to achieve rapidly and then maintain stable plasma thiopental concentrations in rats. Initially we derived the parameters of a triexponential pharmacokinetic model for thiopental, administered as a brief infusion to 10 rats, using nonlinear regression and standard pharmacokinetic equations. These parameters were incorporated into the pharmacokinetic model of a computer-controlled infusion pump. In a second group of animals this device was used to maintain three consecutive target thiopental concentrations ranging from 5 to 100 micrograms/ml in a stepwise fashion. Arterial blood gases were kept normal through controlled ventilation when necessary. The plasma thiopental concentrations in this second group of animals were generally higher than the target concentrations. The bias in pump performance (median prediction error) was +25%, and the inaccuracy (median absolute prediction error) was 26%. We fit the parameters of a three-compartment model to the plasma thiopental concentrations observed in the second group of animals. This produced a second set of thiopental pharmacokinetic parameters with the unique characteristic of having been derived from a computer controlled infusion study. These parameters were tested prospectively with a computer-controlled infusion pump in a third group of animals. This second set of thiopental pharmacokinetic parameters performed better, with a median prediction error of 0% and a median absolute prediction error of 15%. This study shows that it is possible to achieve rapidly and maintain steady plasma thiopental concentrations in the rat. Our results suggest that it is feasible to derive robust pharmacokinetic parameters from unusual drug dosing approaches, such as employed by a computer-controlled infusion pump.(ABSTRACT TRUNCATED AT 250 WORDS)

Animals↗
PubMed1992

Thiopental pharmacodynamics. I. Defining the pseudo-steady-state serum concentration-EEG effect relationship.

To assess depth of anesthesia for intravenous anesthetics using clinical stimuli and observed responses, it is necessary to achieve constant serum concentrations of drug that result in constant biophase or central nervous system concentrations. The goal of this investigation was to use a computer-controlled infusion pump (CCIP) to obtain constant serum thiopental concentrations and use the electroencephalogram (EEG) as a measure of thiopental's central nervous system drug effect. The number of waves per second obtained from aperiodic waveform analysis was used as the EEG measure. A CCIP was used in six male volunteers to attain rapidly and then maintain for 6-min time periods the following pseudo-steady-state constant serum thiopental target concentrations: 10, 20, 30, and 40 micrograms/ml. The median performance error (bias) of the CCIP using 149 measurements of thiopental serum concentrations in six subjects was +5%, and the median absolute performance error (accuracy) was 16%. Following the step change in serum thiopental concentration, the EEG number of waves per second stabilized within 2-3 min and the remained constant until the target serum thiopental concentration was changed. When the constant serum thiopental concentration was plotted against the number of waves per second for each subject, a biphasic serum concentration versus EEG effect relationship was seen. This biphasic concentration:response relationship was characterized with a nonparametric pharmacodynamic model. The awake, baseline EEG was 10.6 waves/s; at peak activation the EEG was 19.1 waves/s and occurred at a serum thiopental concentration of 13.3 micrograms/ml. At a serum thiopental concentration of 31.2 micrograms/ml the EEG had slowed to 10.6 waves/s (back to baseline) and at 41.2 micrograms/ml was 50% below the baseline, awake value. Zero waves per second occurred at serum thiopental concentrations greater than 50 micrograms/ml. Using a CCIP it is possible to establish constant serum thiopental concentration rapidly and characterize the concentration versus EEG drug effect relationship.

Adult↗
PubMed1992

Thiopental pharmacodynamics. II. Quantitation of clinical and electroencephalographic depth of anesthesia.

This study examined the relationship among pseudo-steady-state (constant) serum thiopental concentrations, clinical anesthetic depth as assessed by several perioperative stimuli, and the electroencephalogram (EEG). Twenty-six ASA physical status 1 or 2 patients participated in the study. Two constant serum thiopental concentrations were maintained in each patient using a computer-controlled infusion pump. The first randomly assigned target serum concentration of 10-30 micrograms/ml was maintained for 5 min to allow serum:brain equilibration. Then the following stimuli were applied at 1-min intervals: verbal command, tetanic nerve stimulation, trapezius muscle squeeze, and laryngoscopy. A second, higher, randomly assigned target serum concentration of 40-90 micrograms/ml was then achieved and maintained by the computer-controlled infusion pump. The previously described stimuli were reapplied, after which laryngoscopy and intubation was performed. A positive response was recorded if purposeful extremity movement or coughing was observed. Using the quantal movement or cough response and the measured constant serum thiopental concentration, the probability of no movement to each stimulus was characterized using logistic regression. The serum thiopental concentrations that produced a 50% probability of no movement response for the clinical stimuli were as follows: 15.6 micrograms/ml for verbal command, 30.3 micrograms/ml for tetanic nerve stimulation, 39.8 micrograms/ml for trapezius muscle squeeze, 50.7 micrograms/ml for laryngoscopy, and 78.8 micrograms/ml for laryngoscopy followed by intubation. The EEG was analyzed using aperiodic waveform analysis to derive the number of waves per second. A biphasic relationship between constant serum thiopental concentration and the EEG number of waves per second was observed. Loss of responsiveness to verbal stimulation occurred when the EEG was activated at 15-18 waves/s.(ABSTRACT TRUNCATED AT 250 WORDS)

Adult↗