Abstract
For the first time, a population approach was used to describe abacavir (ABC) pharmacokinetics in HIV-infected pregnant and nonpregnant women. A total of 266 samples from 150 women were obtained. No covariate effect (from age, body weight, pregnancy, or gestational age) on ABC pharmacokinetics was found. Thus, it seems unnecessary to adapt the ABC dosing regimen during pregnancy.
TEXT
Abacavir (ABC) is a potent nucleoside reverse transcriptase inhibitor administered to treat human immunodeficiency virus (HIV) infection and prevent its transmission. Currently, regimens containing ABC are still recommended as one of the first-line options for adults, including pregnant women (1). ABC pharmacokinetics in adults has been investigated previously (2–9), but only two limited studies (with small numbers of patients, no once-daily administration, and narrow ranges of age and gestational age) were focused on pregnant women (10, 11). During pregnancy, some physiological changes can affect the pharmacokinetics of a drug. Therefore, it is important to characterize these changes in a large population in order to use the drug safely and efficiently during pregnancy. Thus, plasma ABC concentrations in nonpregnant and pregnant women were analyzed using a population approach for the first time. The population pharmacokinetics parameters in HIV-infected nonpregnant and pregnant women were estimated, and the final model was used to determine if the current recommended doses produce efficient drug exposure in pregnancy.
The HIV-infected pregnant (n = 36) and nonpregnant (n = 114) women had a median age of 35.7 years (range, 15 to 67 years) and a median body weight of 62.5 kg (range, 40 to 102 kg). The median gestational age at pharmacokinetics evaluation was 31 weeks (range, 9 to 41 weeks). A total of 266 samples were obtained from HIV-infected women. Among these samples, 16 were collected in pairs (maternal and cord blood samples). Women received orally an ABC-containing regimen: 300 mg twice daily (47.9%) or 600 mg once daily (52.1%). Blood samples for therapeutic-drug monitoring (TDM) were collected during a visit in the pharmacology unit of Hospital Cochin (Paris, France); therefore, the times elapsed between drug administration and sampling were variable. The pregnant women were enrolled at clinical sites of the ANRS-C01-French Perinatal Cohort (EPF). The mother of the child to be born provided signed informed consent. For the nonpregnant women, ethics committee approval and patient consent are not compulsory in France to use TDM data retrospectively. Plasma ABC concentrations were determined by high-performance liquid chromatography, as previously described (12). The limit of quantification (LOQ) was 0.02 mg/liter. The mean interassay precision for the lowest concentration of the quality controls was 10%. The data were analyzed using Nonmem software (version 6.2), and the first-order conditional estimation with interaction (FOCEI) method was applied (13). The 23 concentrations (8.6%) below the LOQ (BLQ) were replaced by the LOQ/2 value (14). The M3 method and the built-in M2 method were also tested for the BLQ data, but they did not improve the results (15). A one-compartment model with first-order absorption and elimination was used to describe the data. The between-subject variability (BSV) could be estimated only for the apparent clearance. The combined model was not significantly better than the proportional model, and the additive model was significantly worse than the combined model. Thus, the proportional error model was the best to describe the residual variability. The absorption constant (Ka) could not be well estimated, but the stability of the model was improved when the value was fixed to 1.8 h−1, a value reported for adults by Jullien et al. (4). No covariate (age, body weight, pregnancy, or gestational age) had a significant effect on pharmacokinetics, so pregnant women and nonpregnant women had the same median population clearance values. This finding is consistent with the previous studies' reporting similar exposures between postpartum or nonpregnant women and pregnant women (10, 11). The final population pharmacokinetics estimates are summarized in Table 1.
TABLE 1.
Pharmacokinetics parameter | Estimate | RSE | 95% CI |
---|---|---|---|
Ka (h−1) | 1.8** | ||
CL/F (liter · h−1) | 41.3 | 4.5 | 34.2–42.4 |
V/F (liters) | 119 | 5.8 | 91.9–123 |
ωCL/F | 0.167 | 19.9 | 0.129–0.196 |
σABC | 0.438 | 13.6 | 0.434–0.574 |
The relative standard error (RSE) is the standard error of the estimate divided by the estimate and multiplied by 100 (95% CI are derived from a bootstrap procedure); **, fixed value; CL/F, apparent clearance; V/F apparent volume of distribution; ωCL/F, square root of between-subject variance for the CL/F ratio; σABC, residual variability for ABC.
The stability of the model and accuracy of the parameters were assessed by a bootstrap method implemented in Wings for Nonmem (WfN; http://wfn.sourceforge.net/). This method involves repeated random resampling with replacement from the original data set for 1,000 times. The parameters and their associated BSV were accurately estimated, and the confidence intervals (CIs) derived from the bootstrap analysis were reasonably narrow and did not include zero. The model was evaluated by the visual predictive check (VPC) (16) and the normalized prediction distribution errors (NPDE) (17). As confirmed by the VPC in Fig. 1, the average prediction matched the observed concentrations and the variability was reasonably estimated. Moreover, the mean and the variance of the NPDE were not significantly different from 0 (P = 0.10) and 1 (P = 0.66) and the distribution was not different from a normal one (P = 0.53).
The placental transfer during pregnancy was estimated as the median ratio of fetal-to-maternal concentrations at delivery. The median estimated value was 104% (minimum, 62%; maximum, 163%). This value is similar to those reported previously (103% and 106%) (11, 12). We have tried to establish a model to describe fetal concentrations by connecting a peripheral or an effect compartment. However, a successful convergence could not be obtained.
This study presents several limits. Pregnant and nonpregnant women could be included, allowing comparison of ABC pharmacokinetics between groups; however, the number of pregnant women (n = 36) was smaller than the number of nonpregnant women (n = 114). Moreover, the sparse sampling (1 or 2 samples per patient) could have led to a simplified model (a one-compartment model with a fixed Ka value), and these data from TDM resulted in high residual variability. However, the bootstrap, VPC, and NPDE procedures gave a satisfactory evaluation of the model.
To conclude, this is the first time that a population approach has been used to describe ABC pharmacokinetics in a large population of nonpregnant and pregnant women. No covariate was found to influence ABC pharmacokinetics, and therefore pregnant and nonpregnant women had similar pharmacokinetics. Thus, it seems unnecessary to adapt the ABC dosing regimen during pregnancy.
Footnotes
Published ahead of print 28 July 2014
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