Population pharmacokinetic analysis of ropivacaine and its metabolite 2',6'-pipecoloxylidide from pooled data in neonates, infants, and children.

BACKGROUND: The aim was to characterize ropivacaine and 2',6'-pipecoloxylidide (PPX) pharmacokinetics and factors affecting them in paediatric anaesthesia. METHODS: Population pharmacokinetics of ropivacaine and its active metabolite PPX were estimated after single and continuous ropivacaine blocks in 192 patients aged 0-12 yr from six pooled published studies. Unbound and total ropivacaine and PPX plasma concentration and PPX urinary excretion data were used for non-linear mixed-effects modelling by NONMEM. Covariates included age, body weight, gender, ethnic origin, ASA, site and method of administration, and total dose. RESULTS: One-compartment first-order pharmacokinetic models incorporating linear binding of ropivacaine and PPX to α(1)-acid glycoprotein were used. After accounting for the effect of body weight, clearance of unbound ropivacaine and PPX reached 41% and 89% of their mature values, respectively, at the age of 6 months. Ropivacaine half-life decreased with age from 13 h in the newborn to 3 h beyond 1 yr. PPX half-life differed from 19 h in the newborn to 8-11 h between 1 and 12 months to 17 h after 1 yr. Simulations indicate that for a single caudal block, the recommended dose could be increased by a factor of 2.9 (0-1 month group) and 6.3 (1-12 yr group) before the unbound plasma concentrations would cross the threshold for systemic toxicity. Corresponding factors for continuous epidural infusion are 1.8 and 4.9. CONCLUSIONS: Ropivacaine and PPX unbound clearance depends on body weight and age. The results support approved dose recommendations of ropivacaine for the paediatric population.

Pharmacokinetics of remifentanil and its major metabolite, remifentanil acid, in ICU patients with renal impairment.

BACKGROUND: The pharmacokinetics of remifentanil, an opioid analgesic metabolized by non-specific esterases, and its principal metabolite, remifentanil acid (RA), which is excreted via the kidneys, were assessed as part of an open-label safety study in intensive care unit (ICU) patients with varying degrees of renal impairment. METHODS: Forty adult ICU patients with normal/mildly impaired renal function (creatinine clearance [CL(cr)] 62.9 (sd) 14.5 ml min(-1); n=10) or moderate/severe renal impairment (CL(cr) 14.7 (15.7) ml min(-1); n=30) were included. Remifentanil was infused for up to 72 h, at a starting rate of 6-9 microg kg(-1) h(-1) titrated to achieve a target sedation level, with additional propofol (0.5 mg kg(-1) h(-1)) if required. Intensive arterial sampling was performed for up to 72 h after infusion. Pharmacokinetic parameters obtained by simultaneous modelling of remifentanil and RA data were statistically compared between the two groups. RESULTS: Remifentanil pharmacokinetics were not significantly affected by renal status. RA clearance in the moderate/severe group was reduced to about 25% that of the normal/mild group (41 (29) vs 176 (49) ml kg(-1) h(-1), P<0.0001). Metabolic ratio, a predictor of the ratio of RA to remifentanil concentrations at steady state, was approximately eight-fold higher in the moderate/severe group relative to the normal/mild group (116 (110) vs 15 (4), P<0.0001). Maximum RA levels approached 700 ng ml(-1) in the moderate/severe group. CONCLUSIONS: Although RA accumulates in patients with moderate/severe renal impairment, pharmacokinetic modelling predicts that RA concentrations during a 9 microg kg(-1) h(-1) remifentanil infusion for up to 15 days would not exceed those reported in the present study, for which no associated prolongation of mu-opioid effects was observed.

A semiparametric deconvolution model to establish in vivo-in vitro correlation applied to OROS oxybutynin.

In vitro-in vivo correlation (IVIVC) models may be used to predict in vivo drug concentration-time profiles given in vitro release characteristics of a drug. This prediction is accomplished by incorporating in vitro release characteristics as an input function (A(vitro)) to a pharmacokinetics model. This simple approach often results in biased predictions of observed in vivo drug concentrations, and it can result in rejecting IVIVC. To solve this problem we propose a population IVIVC model that incorporates the in vitro information and allows one to quantify possibly changed in vivo release characteristic. The model assumes linear kinetics and describes the in vivo release as a sum of A(vitro) and a nonparametric function (A(d), a spline) representing the difference in release due to in vivo conditions. The function A(vitro) and its variability enter the model as a prior distribution. The function A(d) is estimated together with its intersubject variability. The number of parameters associated with A(d) defines the model: no parameters indicates perfect IVIVC, a large number of parameters indicates poor IVIVC. The number of parameters is determined using statistical model selection criteria. We demonstrate the approach to solve the IVIVC problem of an oral extended release oxybutynin form (OROS), administered in three pharmacokinetic studies. These studies present a particular challenging case; that is, the relative bioavailability for the OROS administration is >100% compared with that of the immediate-release form. The result of our modeling shows that the apparent lack of IVIVC can be overcome: in vivo concentration can be predicted (within or across data sets) based on in vitro release rate together with a simple form of systematic deviation from the in vitro release.

Effect of citalopram on plasma levels of oral theophylline.

BACKGROUND: Citalopram and theophylline may be prescribed together to treat patients with depression and asthmatic disease. Because theophylline has a low therapeutic index, small changes in plasma levels may result in therapeutic failure or adverse effects. Both citalopram and theophylline are metabolized by cytochrome P450 (CYP) isozymes. Theophylline is metabolized by CYP1A2; however, the extent to which citalopram interacts with this isozyme in vivo is not known. OBJECTIVE: This study was conducted to investigate whether citalopram alters plasma levels of oral theophylline. METHODS: In an open-label, multiple-dose study, healthy nonsmoking volunteers 18 to 45 years of age were administered a single oral dose of theophylline (300 mg) on day 1. Beginning on day 3, citalopram 40 mg was administered daily through day 24 to achieve steady-state plasma levels. On day 23 a single oral dose of theophylline 300 mg was coadministered with citalopram 40 mg. Fasting plasma levels of theophylline were measured on day 1 (in the absence of citalopram) and on day 23 (in the presence of steady-state plasma concentrations of citalopram) periodically for 36 hours. RESULTS: Thirteen subjects (8 men and 5 women) participated; all completed the study. One subject was not included in the pharmacokinetic calculations. Citalopram treatment had no effect on the pharmacokinetic characteristics of theophylline. CONCLUSIONS: Citalopram dosing to steady state did not inhibit or induce the metabolism of theophylline in this population of healthy volunteers. Dose adjustment of theophylline thus may not be necessary in patients receiving concurrent therapy with citalopram.

A comparison of the relative sensitivities of factor VII and prothrombin time measurements in detecting drug interactions with warfarin.

We have studied the comparative abilities of the prothrombin time and factor VII clotting activity, measured using a chromogenic assay, to detect drug interactions with warfarin. Pharmacokinetic and pharmacodynamic data were collected from studies involving the single administration of 25 mg of warfarin in the absence and presence of fengabin, cimetidine, ranitidine, and enoxacin. Fengabin caused changes in both the pharmacokinetics and pharmacodynamics of warfarin, whereas cimetidine and enoxacin only caused changes in its pharmacokinetics. Ranitidine had no effect on either the pharmacokinetics or pharmacodynamics of warfarin. In general, factor VII clotting activity showed greater sensitivity but also greater variability than the prothrombin time to changes in clotting activity. Consequently, factor VII clotting activity did not have greater discriminatory power than the prothrombin time in detecting drug interactions involving warfarin.