Recirculatory and compartmental pharmacokinetic modeling of alfentanil in pigs: the influence of cardiac output

A possible solution to model nonlinearity in elimination and distributional clearances with α2 -adrenergic receptor agonists: Example of the intravenous detomidine and methadone combination in sedated horses

The alpha(α)₂ -agonist detomidine is used for equine sedation with opioids such as methadone. We retrieved the data from two randomized, crossover studies where detomidine and methadone were given intravenously alone or combined as boli (STUDY 1) (Gozalo-Marcilla et al., 2017, Veterinary Anaesthesia and Analgesia, 2017, 44, 1116) or as 2-hr constant rate infusions (STUDY 2) (Gozalo-Marcilla et al., 2019, Equine Veterinary Journal, 51, 530). Plasma drug concentrations were measured with a validated tandem Mass Spectrometry assay. We used nonlinear mixed effect modelling and took pharmacokinetic (PK) data from both studies to fit simultaneously both drugs and explore their nonlinear kinetics. Two significant improvements over the classical mammillary two-compartment model were identified. First, the inclusion of an effect of detomidine plasma concentration on the elimination clearances (Cls) of both drugs improved the fit of detomidine (Objective Function Value [OFV]: -160) and methadone (OFV: -132) submodels. Second, a detomidine concentration-dependent reduction of distributional Cls of each drug further improved detomidine (OFV: -60) and methadone (OFV: -52) submodel fits. Using the PK data from both studies (a) helped exploring hypotheses on the nonlinearity of the elimination and distributional Cls and (b) allowed inclusion of dynamic effects of detomidine plasma concentration in the model which are compatible with the pharmacology of detomidine (vasoconstriction and reduction in cardiac output).

Combined Recirculatory-compartmental Population Pharmacokinetic Modeling of Arterial and Venous Plasma S(+) and R(–) Ketamine Concentrations

What We Already Know about This Topic

What This Article Tells Us That Is New

Background

The pharmacokinetics of infused drugs have been modeled without regard for recirculatory or mixing kinetics. We used a unique ketamine dataset with simultaneous arterial and venous blood sampling, during and after separate S(+) and R(–) ketamine infusions, to develop a simplified recirculatory model of arterial and venous plasma drug concentrations.

Methods

S(+) or R(–) ketamine was infused over 30 min on two occasions to 10 healthy male volunteers. Frequent, simultaneous arterial and forearm venous blood samples were obtained for up to 11 h. A multicompartmental pharmacokinetic model with front-end arterial mixing and venous blood components was developed using nonlinear mixed effects analyses.

Results

A three-compartment base pharmacokinetic model with additional arterial mixing and arm venous compartments and with shared S(+)/R(–) distribution kinetics proved superior to standard compartmental modeling approaches. Total pharmacokinetic flow was estimated to be 7.59 ± 0.36 l/min (mean ± standard error of the estimate), and S(+) and R(–) elimination clearances were 1.23 ± 0.04 and 1.06 ± 0.03 l/min, respectively. The arm-tissue link rate constant was 0.18 ± 0.01 min–1, and the fraction of arm blood flow estimated to exchange with arm tissue was 0.04 ± 0.01.

Conclusions

Arterial drug concentrations measured during drug infusion have two kinetically distinct components: partially or lung-mixed drug and fully mixed-recirculated drug. Front-end kinetics suggest the partially mixed concentration is proportional to the ratio of infusion rate and total pharmacokinetic flow. This simplified modeling approach could lead to more generalizable models for target-controlled infusions and improved methods for analyzing pharmacokinetic-pharmacodynamic data.

Influence of Cardiac Output on the Pharmacokinetics of Sufentanil in Anesthetized Pigs

BACKGROUND

Sufentanil is used for general anesthesia and analgesia. The study aim was to determine the effect of pharmacologically induced changes in cardiac output on the pharmacokinetics of sufentanil in anesthetized pigs.

METHODS

Twenty-four pigs were randomly assigned to low, high, and control cardiac output groups. Cardiac output was decreased or increased from baseline by at least 40%, or maintained within ± 10% of baseline, respectively. Sufentanil was administered as a bolus followed by a continuous infusion for 120 min. Timed arterial samples were drawn for sufentanil concentration measurements.

RESULTS

Data from 20 animals were analyzed. The cardiac outputs (means ± SD) were 2.9 ± 0.7, 5.4 ± 0.7, and 9.6 ± 1.6 l/min in the low, control, and high cardiac output groups, respectively. The parameters of the two-compartment pharmacokinetic model for these cardiac outputs were: CL1: 0.9, 1.2, and 1.7 l/min; CL2: 0.9, 3.1, and 6.9 l/min; V1: 1.6, 2.9, and 5.2 l; and V2: 27.5, 47.0, and 79.8 l, respectively. Simulated sufentanil doses to maintain a target plasma concentration of 0.5 ng/ml for 3 h were 99.5, 128.6, and 157.6 μg for cardiac outputs of 3, 5, and 7 l/min, respectively. The context-sensitive half-times for these cardiac outputs increased from 3.1 to 19.9 and 25.9 min, respectively.

CONCLUSIONS

Cardiac output influences the pharmacokinetics of sufentanil. Simulations suggest that in the case of increased cardiac output, the dose should be increased to avoid inadequate drug effect at the expense of prolonged recovery, whereas for low cardiac output the dose should be reduced, and a faster recovery may be expected.

Pharmacokinetics and pharmacodynamics of the short-acting sedative CNS 7056 in sheep

BACKGROUND

CNS 7056 is a new short-acting esterase-metabolized benzodiazepine. We report the first pharmacokinetic (PK) and pharmacodynamic (PD) study of CNS 7056 and its inactive metabolite CNS 7054 in sheep.

METHODS

The stability of CNS 7056 in blood samples was examined ex vivo. Six sheep were prepared with physiological instrumentation, and were given doses of 0.37, 0.74, and 1.47 mg kg(-1) (2 min infusion) of CNS 7056 in alternating order on separate days.

RESULTS

CNS 7056 was degraded in warm whole sheep blood (23% over 2 h), but not in plasma or blood stored on ice. Using non-compartmental analysis (NCA), CNS 7056 had a mean (sd) clearance of 4.52 (0.96) litre min(-1) and a terminal half-life of 21.3 (10.9) min. There was a rapid conversion of CNS 7056 to its metabolite CNS 7054, which had a terminal half-life of 22.5 (3.4) min. The arterial kinetics of CNS 7056 could be described by a three-compartment model, with volumes of 1.9, 3.9, and 79 litre, a clearance of 4.2 litre min(-1), and inter-compartmental clearances of 2.85 and 1.44 litre min(-1), while the metabolite could be described by a two-compartment model. Cardiac output was an important covariate. Sedation as measured by the alpha power band of the EEG showed rapid onset and offset. The t(1/2,)(k)(e0) for sedation was 1.78 min, and the EC(50) was 0.10 µg ml(-1).

CONCLUSIONS

CNS 7056 has PK-PD properties compatible with its potential human use as a short-acting i.v. sedative.

Fentanyl clearance and volume of distribution are increased in patients with major burns

This study examined the pharmacokinetics of fentanyl in burned patients during the hyperdynamic phase. Twenty adults, aged 37 +/- 2 years (mean +/- SE), with 49 +/- 3% total body surface area burn, were studied at 17 +/- 2 days after the injury and compared to demographically matched controls. After a 200-microg IV bolus of fentanyl, blood samples (n = 20) were collected for 4.5 hours. Concentration-time curves were fitted to a 2-compartment model. Burned patients had a higher cardiac index. Median fentanyl clearance (CL, 21.0 vs 29.4 mL/kg/min), central compartment volume (V(1), 0.37 vs 0.61 L/kg), and total volume of distribution (V(area), 3.6 vs 5.8 L/kg) were higher in burned patients. Cardiac index was unrelated to CL. The increased V(1) and V(area) are likely due to large intravenous fluid replacement and tissue edema. Higher CL and larger V(1) and V(area) leading to a lower fentanyl plasma concentration may partially explain the increased opiate requirement previously observed after burn injury.

Strategies to Optimise Propofol-Opioid Anaesthesia

Propofol-opioid combinations are widely used in today's anaesthetic practice. Over the past 20-30 years the pharmacology of these agents has been described in increasingly greater detail. Together with novel intravenous administration devices and improved anaesthetic depth monitoring, this has created a basis for the optimisation of the administration of propofol-opioid anaesthesia. This article describes the current strategies regarding the application of this type of anaesthesia, focusing on three strategic tools: (i) application of pharmacokinetic-pharmacodynamic knowledge of propofol and the opioids, with particular attention to pharmacodynamic interactions between them; (ii) the use of state-of-the-art administration techniques; and (iii) the application of bispectral index monitoring. Together, these techniques have improved the level of control, the flexibility and the safety of anaesthetic practice.

The determinants of propofol induction of anesthesia dose

Recently it was reported that the pharmacokinetics of propofol are modified by changes in cardiac output. The objective of this study was to evaluate the effects of cardiac output and other factors on the hypnotic dose of propofol. One-hundred surgical patients were administered indocyanine green immediately before the induction of anesthesia to measure their cardiac outputs and blood volumes. Propofol (250 microg. kg(-1). min(-1)) was infused IV for 8 min, and the hypnotic dose of propofol and the time to hypnosis were recorded. The plasma concentration of propofol immediately after 2 mg/kg infusion was measured. Multiple regression analysis showed that, in addition to age and weight, cardiac output was a small but significant factor for predicting the hypnotic dose of propofol (R(2) = 0.468, P < 0.001), the time to hypnosis (R(2) = 0.454, P < 0.001), and the plasma concentration of propofol (R(2) = 0.248, P < 0.01). Cardiac output, age, and weight showed similar partial coefficients for the hypnotic dose (0.128, 0.137, and 0.140, respectively).

IMPLICATIONS

This study demonstrates a significant relationship between cardiac output and the hypnotic dose of propofol. We suggest that anesthesiologists should include cardiac output, as well as age and weight, in calculating the induction dose of propofol.