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Determining population and developmental pharmacokinetics of metronidazole using plasma and dried blood spot samples
Michael Cohen-Wolkowiez1, Mario Sampson, Barry T Bloom
1From the *Department of Pediatrics, Duke University; †Duke Clinical Research Institute, Durham, NC; ‡Wichita Medical Research and Education Foundation, Wichita, KS; §Division of Infectious Diseases, CHOC-Children's Hospital of Orange County, Orange, CA; ¶Department of Pediatrics, Division of Neonatal-Perinatal Medicine, Vanderbilt University Medical Center, Nashville, TN; ‖EMMES Corporation, Rockville, MD; **Department of Pediatrics, University of Missouri-Kansas City School of Medicine and the Division of Pediatric Pharmacology and Therapeutic Innovation, The Children's Mercy Hospital, Kansas City, MO; ††Department of Pediatric Pharmacology, University of California, San Diego, CA; and ‡‡Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD.
Insights
This study on metronidazole pharmacokinetics in premature infants suggests postmenstrual age-based dosing can help achieve efficacy targets in neonates.
Area of Science:
- Neonatal Pharmacology
- Pediatric Infectious Diseases
- Clinical Pharmacy
Background:
- Limited pharmacokinetic data for metronidazole in premature infants necessitates optimized dosing strategies.
- Current metronidazole dosing recommendations vary due to insufficient pharmacokinetic information.
- Efficacy targets for metronidazole are not well-defined, aiming to exceed minimum inhibitory concentrations for intra-abdominal infections.
Purpose of the Study:
- To evaluate the pharmacokinetics (PK) of metronidazole in premature infants.
- To assess the achievement of surrogate efficacy targets using population PK modeling.
- To compare plasma and dried blood spot sampling for metronidazole PK analysis.
Main Methods:
- An open-label, multicenter pharmacokinetic study involving infants ≤32 weeks gestational age.
- Population pharmacokinetic modeling using NONMEM and Monte Carlo simulations for efficacy target evaluation.
- Analysis of plasma and dried blood spot samples, including calculation of metabolic ratios.
Main Results:
- Twenty-four premature infants were enrolled, with detailed demographic and sample data provided.
- Population pharmacokinetic parameters for metronidazole were determined: clearance and volume of distribution.
- Pharmacokinetic parameter estimates were comparable between plasma and dried blood spot samples, with metabolic ratios correlating with clearance.
Conclusions:
- Postmenstrual age-based dosing is predicted to enable over 80% of neonatal intensive care unit infants to meet the surrogate efficacy target for metronidazole.
- Dried blood spot sampling offers a viable alternative to plasma sampling for metronidazole pharmacokinetic assessments in neonates.
- The study provides valuable data to inform metronidazole dosing guidelines for premature infants.
Background:
Limited pharmacokinetic (PK) data of metronidazole in premature infants have led to various dosing recommendations. Surrogate efficacy targets for metronidazole are ill-defined and therefore aimed to exceed minimum inhibitory concentration of organisms responsible for intra-abdominal infections.
Methods:
We evaluated the PK of metronidazole using plasma and dried blood spot samples from infants ≤32 weeks gestational age in an open-label, PK, multicenter (N = 3) study using population PK modeling (NONMEM). Monte Carlo simulations (N = 1000 virtual subjects) were used to evaluate the surrogate efficacy target. Metabolic ratios of parent and metabolite were calculated.
Results:
Twenty-four premature infants (111 plasma and 51 dried blood spot samples) were enrolled: median (range) gestational age at birth 25 (23-31) weeks, postnatal age 27 (1-82) days, postmenstrual age 31 (24-39) weeks and weight 740 (431-1466) g. Population clearance (L/h/kg) was 0.038 × (postmenstrual age/30) and volume of distribution (L/kg) of 0.93. PK parameter estimates and precision were similar between plasma and dried blood spot samples. Metabolic ratios correlated with clearance.
Conclusion:
Simulations suggested the majority of infants in the neonatal intensive care unit (>80%) would meet the surrogate efficacy target using postmenstrual age-based dosing.
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