Pharmacokinetic parameter sets of alfentanil revisited: optimal parameters for use in target controlled infusion and anaesthesia display systems.

BACKGROUND: In open TCI and anaesthesia display systems, the choice of pharmacokinetic (PK) parameter sets of opioids is clinically relevant. Accuracy and bias of the PK models may be affected by administration mode and the co-administered hypnotic drug. We retrospectively evaluated the performance of eight PK parameter sets for alfentanil in two data sets (infusion and bolus application). METHODS: With the dosing history from two studies in orthopaedic patients anaesthetized with propofol or inhalation anaesthetics the alfentanil plasma concentration over time was calculated with eight PK parameter sets. Median absolute performance error (MDAPE), log accuracy, median performance error (MDPE), log bias, Wobble, and Divergence were computed. Mann-Whitney rank test with Bonferroni correction was used for comparison between bolus and infusion data, repeated measures analysis of variance on ranks was used for comparison among parameter sets. RESULTS: The parameters by Scott (original and weight adjusted) and Fragen had a MDAPE ≤30% and a median log accuracy <0.15 independent of the administration mode, while MDPE was within ±20% and log bias nearly within ±0.1, respectively. The sets by Maitre and Lemmens were within these limits only in the bolus data. All other parameter sets were outside these limits. CONCLUSIONS: In healthy orthopaedic patients, the PK parameters by Scott and by Maitre were equally valid when alfentanil was given as repeated boluses. When given as infusion, the Maitre parameters were less accurate and subject to a significant bias. We cannot exclude that the difference between bolus and infusion is partially because of the different hypnotics used.

[Mandatory mask ventilation before relaxation. Where is the evidence?]. / Obligate Maskenbeatmung vor Relaxation. Wo ist die Evidenz?

Many anesthesia textbooks advise anesthesiologists to demonstrate that ventilation with a facemask is possible before giving muscle relaxants. This recommendation is not evidence-based. If a functional airway obstruction is responsible for difficult mask ventilation and with high induction doses it will rarely be possible for the patient to recover spontaneous ventilation before hypoxia develops. Muscle relaxants improve facemask ventilation and facilitate tracheal intubation. With early administration of muscle relaxants good intubation conditions are achieved earlier. The recommendation does not include a definition of successful mask ventilation and makes the decision in critical situations ambiguous. This is probably one of the reasons why most anesthesiologists administer muscle relaxants even though mask ventilation is difficult or impossible. Therefore the authors recommend giving muscle relaxants after loss of consciousness and thereafter starting gentle bag mask ventilation. To prevent a cannot ventilate cannot intubate situation patient airways have to be carefully evaluated preoperatively. If difficult ventilation or intubation is expected an alternative procedure should be chosen.

Study of the time course of the clinical effect of propofol compared with the time course of the predicted effect-site concentration: Performance of three pharmacokinetic-dynamic models.

BACKGROUND: In the ideal pharmacokinetic-dynamic (PK-PD) model for calculating the predicted effect-site concentration of propofol (Ce(PROP)), for any Ce(PROP), the corresponding hypnotic effect should be constant. We compared three PK-PD models (Marsh PK with Shüttler PD, Schnider PK with fixed ke0, and Schnider PK with Minto PD) in their ability to maintain a constant bispectral index (BIS), while using the respective effect-site-controlled target-controlled infusion (TCI) algorithms. METHODS: We randomized 60 patients to Group M (Marsh's model with k(e0)=0.26 min(-1)), Group S1 or Group S2 (Schnider's model with a fixed k(e0)=0.456 min(-1) or a k(e0) adapted to a fixed time-to-peak effect=1.6 min, respectively). All patients received propofol at a constant rate until loss of consciousness. The corresponding Ce(PROP), as calculated by the respective models, was set as a target for effect-site-controlled TCI. We observed BIS for 20 min. We hypothesized that BIS remains constant, if Ce(PROP) remains constant over time. RESULTS: All patients in Group M woke up, one in Group S1 and none in Group S2. In Groups S1 and S2, BIS remained constant after 11 min of constant Ce(PROP), at a more pronounced level of hypnotic drug effect than intended. CONCLUSIONS: Targeting Ce(PROP) at which patients lose consciousness with effect-site-controlled TCI does not translate into an immediate constant effect.

Pharmacokinetics of intravenous dynorphin A(1-13) in opioid-naive and opioid-treated human volunteers.

BACKGROUND: Dynorphin A(1-13) is a fragment of the endogenous opioid neuropeptide dynorphin A. Previous research suggested that intravenously administered dynorphin A(1-13) has the ability to modulate morphine-induced analgesia. We designed this study to characterize the disposition of intravenous dynorphin immunoreactivity in humans and to determine whether concomitant long-term opioid therapy influenced the pharmacokinetics or side-effects profile of dynorphin A(1-13). METHODS: The study subjects comprised 20 volunteers divided into two groups of 10 each, stratified by dose (low dose, 250 micrograms/kg; high dose, 1000 micrograms/kg). There were four volunteers receiving long-term opioid therapy and six opioid-naive volunteers (nonopioid group) within each dosing group. Dynorphin A(1-13) was infused over 10 minutes, and arterial blood samples were drawn and assayed for dynorphin immunoreactivity. A population modeling approach was used to characterize the pharmacokinetics. Dynorphin effects on heart rate and arterial blood pressure were also studied. RESULTS: The pharmacokinetics of dynorphin immunoreactivity were linear over the dose range studied and were best described by a three-compartment mammillary model whose parameters were volume 1, 5.0 L; volume 2, 0.80 L; volume 3, 12 L; clearance 1, 6.0 L/min; clearance 2, 0.054 L/min; and clearance 3, 0.044 L/min. Concomitant opioid medication did not affect the disposition of dynorphin immunoreactivity. Tachycardia and flushing were commonly observed side effects. The incidence of side effects was dose dependent and was not influenced by long-term opioid use. CONCLUSIONS: Intravenously administered dynorphin A(1-13) is very rapidly metabolized, on the basis of the time course of immunoreactivity in the blood. Long-term opioid therapy did not influence either the pharmacokinetics or incidence of side effects.

A phase II/pharmacokinetic trial of high-dose progesterone in combination with paclitaxel.

PURPOSE: The purpose of this study was to investigate the effect of high-dose progesterone, an inhibitor of P glycoprotein, on the pharmacokinetics and toxicity of paclitaxel. PATIENTS AND METHODS: A total of 29 patients with various tumors were treated with single-agent paclitaxel (125 mg/m2 administered over 3 h once every 3 weeks) until progression of disease, at which point high-dose progesterone (3 g administered i.v. over 24 h) was added to the paclitaxel treatment program in 20 patients (13 women, 7 men). Pharmacokinetic studies of paclitaxel administered alone and with progesterone were performed in eight patients. RESULTS: The pharmacokinetic parameters of paclitaxel were highly variable. High-dose progesterone increased the peak plasma levels (3.00 +/- 0.94 vs. 4.15 +/- 1.63 microM; P = 0.029; mean +/- SD) and the area under the curve (AUC; 14.3 +/- 4.75 vs. 17.3 +/- 5.59 microM x h; P = 0.006) of paclitaxel. The absolute neutrophil and platelet nadir counts did not differ significantly between the paclitaxel and the combined treatment cycles. Three of the 20 patients documented to have progressive disease on paclitaxel alone had partial responses when high-dose progesterone was added to the paclitaxel regimen. CONCLUSION: Progesterone had a statistically significant impact on the pharmacokinetics of paclitaxel. The addition of high-dose progesterone to paclitaxel is feasible, but the small number of patients prevents conclusions being drawn about the clinical efficacy of combined progesterone and paclitaxel.

Identification and targeting policies for computer-controlled infusion pumps.

In this article a series of useful techniques is presented to improve the adaptation capabilities of computer-controlled infusion pumps: an identification algorithm for the time constant of the effect compartment, a smoothing technique for estimation based on noisy data, and an infusion policy to target any effect site concentration with no overshoot.

Modeling and closed-loop control of hypnosis by means of bispectral index (BIS) with isoflurane.

A model-based closed-loop control system is presented to regulate hypnosis with the volatile anesthetic isoflurane. Hypnosis is assessed by means of the bispectral index (BIS), a processed parameter derived from the electroencephalogram. Isoflurane is administered through a closed-circuit respiratory system. The model for control was identified on a population of 20 healthy volunteers. It consists of three parts: a model for the respiratory system, a pharmacokinetic model and a pharmacodynamic model to predict BIS at the effect compartment. A cascaded internal model controller is employed. The master controller compares the actual BIS and the reference value set by the anesthesiologist and provides expired isoflurane concentration references to the slave controller. The slave controller maneuvers the fresh gas anesthetic concentration entering the respiratory system. The controller is designed to adapt to different respiratory conditions. Anti-windup measures protect against performance degradation in the event of saturation of the input signal. Fault detection schemes in the controller cope with BIS and expired concentration measurement artifacts. The results of clinical studies on humans are presented.

[Characterization of dose profile of remifentanil with computer simulation: comparative study with fentanyl and alfentanyl]. / Caracterización del perfil de dosificación del remifentanilo mediante simulación con ordenador: estudio comparativo con fentanilo y alfentanilo.

OBJECTIVES: To estimate the optimum dosing regimen and delivery system for remifentanil, a new opioid, using computer simulations based on information from pharmacokinetic and pharmacodynamic models available for fentanyl, alfentanil and remifentanil, as well as from clinical trials of fentanyl and alfentanil. PATIENTS AND METHODS: We estimated the site concentration ranges likely to be needed to blunt response to anesthetic or surgical stimuli and to recover from spontaneous ventilation. Dosing guidelines for remifentanil, fentanyl and alfentanil were estimated for three methods of administration (bolus, bolus + variable continuous infusion or constant continuous infusion). To that end, the time course of opioid concentration was simulated for hypothetical balanced anesthesia lasting 60 min. We then studied the number of boluses, the number of infusion rate steps, time taken to reach the terapeutic threshold, and time from turning off the infusion until reaching a concentration compatible with spontaneous ventilation. RESULTS: The estimated "effect site" concentration ranges for remifentanil were 6 to 10 ng.ml-1 during intubation; 4 to 6 ng.ml-1 during cutaneous incision; 4 to 7 ng.ml-1 for maintenance; and less than 2.5 ng.ml-1 for recovery of spontaneous ventilation. Simulated bolus administration indicated that 21 boluses of remifentanil, 4 boluses of fentanyl and 7 boluses of alfentanil were needed during one hour. The therapeutic threshold was reached within the first minute with remifentanil, within 2 minutes with fentanyl and within 1 min with alfentanil. Time until recovery of spontaneous ventilation was 7 min with remifentanil, 22 min with fentanyl and 14 min with alfentanil. In the simulation of bolus plus variable infusion, the initial bolus of remifentanil was 100 micrograms, the infusion rate for induction and maintenance was 25 micrograms.min-1 and the maintenance rate was 15 micrograms.min-1. The initial bolus of fentanyl was 300 micrograms, the infusion rate for induction and maintenance was 5 micrograms.min-1. The initial bolus of alfentanil was 2,000 micrograms, the infusion rate for induction was 200 micrograms.min-1 and the maintenance rates were 75 and 25 micrograms.min-1. The therapeutic threshold was reached in 1 min with remifentanil, in 2 min with fentanyl and within 1 min with alfentanil. Spontaneous ventilation was recovered 4 min after turning off the infusion of remifentanil, 4 min afterwards with fentanyl and 6 min afterwards with alfentanil. The simulated constant infusion rate for remifentanil of 15 micrograms.min1 (8 micrograms.min-1 for fentanyl and 75 micrograms.min-1 for alfentanil) allowed the therapeutic threshold to be reached in 10 min with remifentanil, in 22 min with fentanyl and in 17 min with alfentanil. Recovery of spontaneous ventilation occurred 5 min after closure of the infusion pump with remifentanil (24 min with fentanyl and 17 min with alfentanil). CONCLUSIONS: Information from pharmacokinetic and pharmacodynamic models allows us to establish the effect site concentration ranges for remifentanil and determine the ideal administration technique for this drug. The simulation also allows us to compare the properties of remifentanil to those of other common opioids such as fentanyl and alfentanil. The results are fairly consistent with clinical evidence, demonstrating the power of pharmacokinetic and pharmacodynamic models for rationally establishing opioid dosing guidelines.

Contributions of PK/PD modeling to intravenous anesthesia.

Pharmacokinetic (PK)/pharmacodynamic (PD) modeling has made an enormous contribution to intravenous anesthesia. PK/PD models have provided us with insight into the factors affecting the onset and offset of drug effect. For example, we are now able to describe the influence of cardiac output on the disposition of intravenous drugs within the first few minutes after administration of the drug. We are able to calculate intravenous loading doses that allow for the delay between the concentration of the drug in the plasma and the rising concentration at the site of drug effect. We are able to achieve and maintain a stable level of anesthetic effect using computerized infusion pumps that target the site of drug effect rather than the plasma. Importantly, on the basis of models of drug interaction and an understanding of how drug offset varies with duration of administration, we are now able to rationally combine hypnotics and opioids.

Prophylactic percutaneous transtracheal catheterisation in the management of patients with anticipated difficult airways: a case series.

Primary tracheostomy under local anaesthesia is indicated in the management of an anticipated difficult airway in patients in whom less invasive procedures are expected to fail or have already failed. However, primary tracheostomy is a relatively complex procedure and places not inconsiderable stress on the patient. In a prospective study in our hospital over a period of 22 months, we were able to avoid primary tracheostomy in 11 patients with very difficult airways. All 11 patients were managed with prophylactically inserted transtracheal catheters and jet ventilation of the lungs. This ensured an adequate oxygen supply during tracheal intubation, and made overall patient management much easier. This method has established itself as a standard procedure in our hospital.

Comparision of etomidate and propofol for fibreoptic intubation as part of an airway management algorithm:a prospective, randomizes, double-blind study.

BACKGROUND AND OBJECTIVE: In our algorithm for management of the anticipated difficult airway the induction agent (etomidate) is administered after the tip of the fibreoptic is placed in the trachea but before the tube is advanced over it. In a previous investigation we demonstrated the safety of this method. Due to its popularity as an induction agent, some would like to replace etomidate with propofol. However, because rapid recovery of spontaneous breathing is crucial with this technique, substitution might not be advisable. We compared the speed of recovery of spontaneous breathing after fibreoptic intubation between etomidate and propofol. METHODS: In this prospective, randomized, double-blind study we used either 0.2 mg kg[-1] etomidate or 2 mg kg[-1] propofol for induction. Our technique of nasotracheal fibreoptic intubation consists of using fentanyl, cocaine instillation into the lower nasal canals, cricothyroid injection of lidocaine, performing bronchoscopy, administration of etomidate and advancing the tube after loss of consciousness. We measured time to loss of consciousness, time to recovery of spontaneous breathing, lowest bi-spectral index value and time to lowest value. RESULTS: Time to loss of consciousness did not differ. The time to recovery of spontaneous breathing differed significantly: the median time (interquartile range [range]) for etomidate was 81 s (62--102 [0--166]), and for propofol 146 s (95--260 [65--315]); P=0.001. The lowest bi-spectral index values were not different. The time of the lowest bi-spectral index values differed significantly: for etomidate 58 s (51--68 [38--100]), and for propofol 90 s (52--125 [38--172]); P=0.015. CONCLUSION: For nasotracheal fibreoptic intubation, where the tube is advanced after induction of anaesthesia, we still recommend etomidate because spontaneous breathing recovers faster than with propofol.

Expanding clinical applications of population pharmacodynamic modelling.

Population pharmacokinetics or pharmacodynamics is the study of the variability in drug concentration or pharmacological effect between individuals when standard dosage regimens are administered. We provide an overview of pharmacokinetic models, pharmacodynamic models, population models and residual error models. We outline how population modelling approaches seek to explain interpatient variability with covariate analysis, and, in some approaches, to characterize the unexplained interindividual variability. The interpretation of the results of population modelling approaches is facilitated by shifting the emphasis from the perspective of the modeller to the perspective of the clinician. Both the explained and unexplained interpatient variability should be presented in terms of their impact on the dose-response relationship. Clinically relevant questions relating to the explained and unexplained variability in the population can be posed to the model, and confidence intervals can be obtained for the fraction of the population that is estimated to fall within a specific therapeutic range given a certain dosing regimen. Such forecasting can be used to develop optimal initial dosing guidelines. The development of population models (with random effects) permits the application of Bayes's formula to obtain improved estimates of an individual's pharmacokinetic and pharmacodynamic parameters in the light of observed responses. An important challenge to clinical pharmacology is to identify the drugs that might benefit from such adaptive-control-with-feedback dosing strategies. Drugs used for life threatening diseases with a proven pharmacokinetic-pharmacodynamic relationship, a small therapeutic range, large interindividual variability, small interoccasion variability and severe adverse effects are likely to be good candidates. Rapidly evolving changes in health care economics and consumer expectations make it unlikely that traditional drug development approaches will succeed in the future. A shift away from the narrow focus on rejecting the null hypothesis towards a broader focus on seeking to understand the factors that influence the dose-response relationship--together with the development of the next generation of software based on population models--should permit a more efficient and rational drug development programme.

Predictors of onset and offset of drug effect.

Anaesthesiologists administer a wide variety of drugs, including benzodiazepines, opioids, intravenous anaesthetic agents, volatile anaesthetic agents, muscle relaxants, local anaesthetics, and other drugs, especially those influencing the cardiovascular system. Sometimes a drug is chosen because of its better effect and/or side-effect profile. However, many of the drugs within each group have similar effect and/or side-effect profiles and differ mainly in their pharmacokinetics. The choice of one drug over another may then need to be based on differences in their pharmacokinetic profiles. Traditional predictors of onset of drug effect, such as time to a specified effect, are dose-dependent. Traditional predictors of offset of drug effect, such as 'terminal half-life', often have little clinical relevance. Newer descriptors offer significant advantages. The time to peak effect-site concentration is an informative dose-independent descriptor of the onset of drug effect following an intravenous bolus dose. The relevant decrement time (for continuous measures of drug effect) and mean effect time (for binary measures of drug effect) build upon the context-sensitive half-time concept, by considering the time required for the concentrations to decrease from one clinically relevant level of drug effect to another.

[Modern concepts in pharmacokinetics of intravenous anesthetics]. / Moderne Konzepte der Pharmakokinetik intravenöser Anästhetika.

From a pharmacological perspective, anesthesia is concerned with controlling the time course of drug effect. Mathematical models are commonly used to relate the administered drug dose to the measured drug concentration (a pharmacokinetic model) and to relate the measured drug concentrations to the measured drug effects (a pharmacodynamic model). With such models, the time course of the drug effect for different drug regimens can be predicted. Although the conventional pharmacokinetic parameters such as the volume of distribution, clearance, distribution and elimination half-lives can be used to accurately describe the time course of the plasma concentration, the plasma is usually not the site of drug effect. An understanding of the "effect compartment concept" and the "time of the peak effect site concentration," together with the concepts of" context sensitive"half-time and "relevant decrement time,' contribute substantially to the anesthetist's understanding of the principles governing the onset and offset of drug effect. As part of a computer-controlled infusion system, the pharmacokinetic model facilitates optimized and rational dosing. These systems, also called target-controlled infusion systems (TCI), calculate the infusion rates for rapidly achieving and then maintaining a target concentration.

Pharmacokinetics and pharmacodynamics of remifentanil. II. Model application.

BACKGROUND: The pharmacokinetics and pharmacodynamics of remifentanil were studied in 65 healthy volunteers using the electroencephalogram (EEG) to measure the opioid effect. In a companion article, the authors developed complex population pharmacokinetic and pharmacodynamic models that incorporated age and lean body mass (LBM) as significant covariates and characterized intersubject pharmacokinetic and pharmacodynamic variability. In the present article, the authors determined whether remifentanil dosing should be adjusted according to age and LBM, or whether these covariate effects were overshadowed by the interindividual variability present in the pharmacokinetics and pharmacodynamics. METHODS: Based on the typical pharmacokinetic and pharmacodynamic parameters, nomograms for bolus dose and infusion rates at each age and LBM were derived. Three populations of 500 individuals each, ages 20, 50, and 80 yr, were simulated base on the interindividual variances in model parameters as estimated by the NONMEM software package. The peak EEG effect in response to a bolus, the steady-state EEG effect in response to an infusion, and the time course of drug effect were examined in each of the three populations. Simulations were performed to examine the time necessary to achieve a 20%, 50%, and 80% decrease in remifentanil effect site concentration after a variable-length infusion. The variability in the time for a 50% decrease in effect site concentrations was examined in each of the three simulated populations. Titratability using a constant-rate infusion was also examined. RESULTS: After a bolus dose, the age-related changes in V1 and Ke0 nearly offset each other. The peak effect site concentration reached after a bolus dose does not depend on age. However, the peak effect site concentration occurs later in elderly individuals. Because the EEG shows increased brain sensitivity to opioids with increasing age, an 80-yr old person required approximately one half the bolus dose of a 20-yr old of similar LBM to reach the same peak EEG effect. Failure to adjust the bolus dose for age resulted in a more rapid onset of EEG effect and prolonged duration of EEG effect in the simulated elderly population. The infusion rate required to maintain 50% EEG effect in a typical 80-yr old is approximately one third that required in a typical 20-yr old. Failure to adjust the infusion rate for age resulted in a more rapid onset of EEG effect and more profound steady-state EEG effect in the simulated elderly population. The typical times required for remifentanil effect site concentrations to decrease by 20%, 50%, and 80% after prolonged administration are rapid and little affected by age or duration of infusion. These simulations suggest that the time required for a decrease in effect site concentrations will be more variable in the elderly. As a result, elderly patients may occasionally have a slower emergence from anesthesia than expected. A step change in the remifentanil infusion rate resulted in a rapid and predictable change of EEG effect in both the young and the elderly. CONCLUSIONS: Based on the EEG model, age and LBM are significant demographic factors that must be considered when determining a dosage regimen for remifentanil. This remains true even when interindividual pharmacokinetic and pharmacodynamic variability are incorporated in the analysis.