Iterative Two-stage Analysis Research Articles

Population Pharmacokinetics of Delavirdine and N-Delavirdine in HIV-Infected Individuals

Delavirdine is a non-nucleoside reverse transcriptase inhibitor used in combination regimens for the treatment of HIV-1 infection. Our objective was to characterise the population pharmacokinetics of delavirdine in HIV-infected patients who participated in the adult AIDS Clinical Trials Group (ACTG) 260 and 261 studies. ACTG 261 was a randomised, double-blind study of delavirdine 400mg three times daily, in various combination regimens; ACTG 260 was a concentration-targeted monotherapy study. Two hundred and thirty-four patients, and 1254 and 1251 plasma concentrations for delavirdine and N-delavirdine, respectively, were available for population pharmacokinetic analysis. The pharmacokinetic model (and initial parameters), based on previous studies, included two compartments for delavirdine (peripheral and central) and parallel clearance pathways (nonlinear conversion to N-delavirdine and first order clearance from the body). The model was one compartment for N-delavirdine with first order clearance. Diurnal variation of delavirdine and N-delavirdine oral clearance was modelled as a cosine function, with amplitude variation a fitted parameter. Pharmacokinetic parameter estimates were derived from iterative two-stage analysis; observed delavirdine and N-delavirdine concentrations fit with weighting by the inverse observation variance. Covariates were analysed by multiple general linear modelling. The mean (percent coefficient of variation [%CV]) CD4 count was 315 (109) cells/mm(3), weight 76.9 (14.7) kg, age 37 (8.5) years, and 15% of the population were women. Mean (%CV) population pharmacokinetic parameter estimates for delavirdine were: volume of distribution at steady state 67.6 (100) L, intrinsic oral clearance 19.8 (64) L/h, concentration at half the maximum velocity of metabolism (V(max)) 6.3 (69) micromol/L and first order oral clearance 0.57 (86) L/h. For N-delavirdine, the mean (%CV) apparent volume of distribution was 24.7 (75) L and apparent clearance 29.7 (42) L/h. The mean V(max) was 1376 (68) mg/day. The final model for average intrinsic clearance of delavirdine included race, sex, weight and age as significant covariates (p < 0.05); however, these covariates do not explain a significant proportion of the overall variability in the population. Delavirdine disposition exhibits nonlinear pharmacokinetics and large interpatient variability, and is significantly altered by time of day (impacting potential therapeutic drug monitoring and future pharmacokinetic study designs). Although race and sex appear to influence delavirdine pharmacokinetics, men and women and patients of different races should receive similar mg/kg dosage regimens. The presence of large interpatient variability supports the further investigation of the utility of therapeutic drug monitoring for delavirdine, if target drug concentrations can be better defined.

Phenylacetate pharmacokinetics based on iterative two-stage population analysis.

To determine the population pharmacokinetics of phenylacetate using iterative two-stage analysis implemented with ADAPT 11 software. United States government research hospital. Retrospective pharmacokinetic analysis. Sixty-seven patients with refractory solid tumors. Subjects received from 1-10 courses/individual (total 141 courses) of therapy with either twice-daily administration or continuous infusions of phenylacetate. Extensive plasma concentration measurements were performed after the initial dose or start of infusion, with sparse sampling during subsequent courses of therapy. Phenylacetate plasma concentration-time profiles were described by a one-compartment, capacity-limited clearance model with incorporation of parameters to describe extent of induction of clearance and the rate of induction. Median estimates for volume of distribution, maximum rate of drug elimination, Michaelis-Menten constant, and induction factor, and rate of onset of induction of drug clearance were 0.33 (0.26, 0.48) L/kg, 21.8 (16.3, 28.0) mg/kg/hour, 94.6 (48.8, 153.0) mg/L, 1.28 (1.06, 1.66), and 0.0038 (0.0019, 0.0058) hour(-1), respectively. The results of this study are similar to previous pharmacokinetic evaluations using the Abbottbase PKS system but suggest that earlier analyses were suboptimal.

Pharmacodynamic Analysis of Sparse Data from Concentration- and Effect-Controlled Clinical Trials Guided by a Pilot Study. An Investigation by Simulations

The purpose of this investigation was to explore, by computer simulation, the utility of two different clinical trial designs with sparse sampling (three concentration–effect measurements per subject) for population pharmacodynamic studies when the targeted drug concentration or effect measurements are determined by application of optimal sampling theory based on the results of a preceding, data-intensive pilot study. The two design paradigms were concentration-controlled and pharmacologic effect-controlled randomized clinical trials, respectively. The drug concentration–pharmacologic effect relationship was assumed to be describable by the Hill (sigmoid Emax) equation without hysteresis. Intersubject variability was represented by coefficients of variation of 30, 40, and 30% for Emax, EC50, and γ, respectively. Random controller imprecision and measurement errors were included. Concentration and effect data for 100 subjects were generated by Monte Carlo simulation (ADAPT II), and pharmacodynamic parameter values were obtained by iterative two-stage analysis. These were then used to predict effect intensities over a range of drug concentrations, and the results were compared with those obtained by use of the true parameter values. Concentration- and effect-controlled trial designs were simulated in two forms: unconstrained and constrained with respect to the highest allowed targeted drug concentration or effect intensity. It was found that both types of unconstrained trials yielded good and comparable parameter estimates whereas the constrained trials (which are clinically more realistic) yielded more biased and imprecise estimates of individual pharmacodynamic parameters. Nevertheless, use of the latter to determine the effect intensities produced by different drug concentrations yielded good estimates but only in the range covered by the targeted concentration or effect measurements. For concentration-controlled trials it appears essential that the individuals in the pilot group and the clinical study group be drawn from the same population. Effect-controlled trials gave good results even when the pilot group was not representative of the population (e.g., for an aberrant subpopulation).

Population pharmacokinetics and renal function-sparing effects of amphotericin B colloidal dispersion in patients receiving bone marrow transplants

The purpose of this study was to evaluate the pharmacokinetics of amphotericin B colloidal dispersion and its effect on creatinine clearance in bone marrow transplant patients with systemic fungal infections. Seventy-five patients (42 females and 33 males) with a median age of 34.5 years and a median weight of 70.0 kg were enrolled in the study. Patients received 1 of 15 dose levels (range, 0.5 to 8.0 mg/kg of body weight) daily for a mean duration of 28 days and a mean cumulative dose amount of 8 g. Plasma samples for amphotericin B determination (median number, 4; range, 2 to 30) and daily serum creatinine values were obtained for each patient. Iterative two-stage analysis, one of several approaches to population pharmacokinetic and pharmacodynamic modelling, was employed for the pharmacokinetic analysis. The plasma data were available for 51 of 75 patients and were best described by a two-compartment model. Both plasma clearance and volume of distribution increased with escalating doses; the overall average terminal elimination half-life was 29 h. Of the covariates studied, only body weight and dose size were significant. Serum creatinine values over the duration of therapy were available for 59 of 75 patients. Overall, there was no net change in renal function over the duration of therapy; 12 patients had > 30% increases in creatinine clearance, whereas 13 had > 30% decreases. No measure of amphotericin B colloidal dispersion exposure, demographic values, or concomitant treatment with other medications was related to changes in the creatinine clearance.

Pharmacodynamics of intravenous ciprofloxacin in seriously ill patients

Seventy-four acutely ill patients were treated with intravenous ciprofloxacin at dosages ranging between 200 mg every 12 h and 400 mg every 8 h. A population pharmacokinetic-pharmacodynamic analysis relating drug exposure (and other factors) to infectious outcome was performed. Plasma samples were obtained and assayed for ciprofloxacin by high-performance liquid chromatography. Samples from patients were frequently cultured so that the day of bacterial eradication could be determined. The pharmacokinetic data were fitted by iterative two-stage analysis, assuming a linear two-compartment model. Logistic regression was used to model ciprofloxacin exposure (and other potential covariates) versus the probabilities of achieving clinical and microbiologic cures. The same variables were also modelled versus the time to bacterial eradication by proportional hazards regression. The independent variables considered were dose, site of infection, infecting organism and the MIC for it, percent time above the MIC, peak, peak/MIC ratio, trough, trough/MIC ratio, 24-h area under the concentration-time curve (AUC), AUC/MIC ratio (AUIC), presence of other active antibacterial agents, and patient characteristics. The most important predictor for all three measures of ciprofloxacin pharmacodynamics was the AUIC. A 24-h AUIC of 125 SIT-1.h (inverse serum inhibitory titer integrated over time) was found to be a significant breakpoint for probabilities of both clinical and microbiologic cures. At an AUIC below 125 (19 patients), the percent probabilities of clinical and microbiologic cures were 42 and 26%, respectively. At an AUIC above 125 (45 patients), the probabilities were 80% (P < 0.005) and 82% (P < 0.001), respectively. There were two significant breakpoints in the time-to-bacterial-eradication data. At an AUIC below 125 (21 patients), the median time to eradication exceeded 32 days; at an AUIC of 125 to 250 (15 patients), time to eradication was 6.6 days: and at AUIC above 250 (28 patients), the median time to eradication was 1.9 days (groups differed; P < 0.005). These findings, when combined with pharmacokinetic data reported in the companion article, provide the rationale and tools needed for targeting the dosage of intravenous ciprofloxacin to individual patients' pharmacokinetics and their bacterial pathogens' susceptibilities. An a priori dosing algorithm (based on MIC, patient creatine clearance and weight, and the clinician-specified AUIC target) was developed. This approach was shown, retrospectively, to be more precise than current guidelines, and it can be used to achieve more rapid bacteriologic and clinical responses to ciprofloxacin, as a consequence of targeting the AUIC.