Vancomycin monitoring in children using bayesian estimation.
Vancomycin monitoring in children using bayesian estimation.
复制标题
DOI:
10.1097/ftd.0000000000000039
复制
发表时间:
2014-08
影响因子:
2.5
通讯作者:
Capparelli EV
中科院分区:
文献类型:
--
作者:
Le J;Ngu B;Bradley JS;Murray W;Nguyen A;Nguyen L;Romanowski GL;Vo T;Capparelli EV
Optimal monitoring of vancomycin in children needs evaluation using the exposure target with area-under-the-curve of the serum concentrations vs. time over 24 hours (AUC). Our study objectives were to: (1) compare the accuracy and precision of vancomycin AUC estimations using two sampling strategies – one serum concentration sample (1S, near trough) versus two samples (2S, near peak and trough) against the rich sample (RS) method; and (2) determine the performance of these strategies in predicting future AUC against an internal validation sample (VS). This was an retrospective cohort study using population-based pharmacokinetic modeling with Bayesian post-hoc individual estimations in NONMEM 7.2. Pediatric subjects 3 months to 21 years of age who received vancomycin ≥ 48 hours and had ≥ 3 drug samples within the first ≤ 96 hours of therapy were enrolled. Outcome measures were the accuracy, precision and internal predictive performance of AUC estimations using two monitoring strategies (i.e., 1S vs 2S) against the RS (which was derived from modeling all serum vancomycin concentrations obtained anytime during therapy), and VS (from serum concentrations obtained after 96 hours of therapy). Analysis included 138 subjects with 712 vancomycin serum concentrations. Median age was 6.1 (interquartile range [IQR] 2.2-12.2) yr, weight 22 (13-38) kg, and baseline serum creatinine 0.37 (0.30-0.50) mg/dL. Both accuracy and precision were improved with the 2S, compared to 1S, for AUC estimations (-2.0% vs -7.6 % and 10.3% vs 12.8%, respectively) against the RS. Improved accuracy and precision were also observed for 2S when evaluated against VS in predicting future AUC. Compared to 1S, the 2S sampling strategy for vancomycin monitoring improved accuracy and precision in estimating and predicting future AUC. Evaluating two drug concentrations in children may be prudent to ensure adequate drug exposure.