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Published on: April 23, 2019
Population Pharmacokinetic Analyses for Omadacycline Using Phase 1 and 3 Data
Elizabeth A Lakota1, Scott A Van Wart1, Michael Trang1
1Institute for Clinical Pharmacodynamics, Inc., Schenectady, New York, USA.
Omadacycline, an antibiotic for skin infections and pneumonia, has a refined population pharmacokinetic model. This model accurately predicts drug exposure in patients and supports further analysis.
Area of Science:
- Pharmacokinetics
- Antibiotic Development
- Infectious Diseases
Background:
- Omadacycline is a novel aminomethylcycline antibiotic approved for acute bacterial skin and skin structure infections (ABSSSI) and community-acquired bacterial pneumonia (CABP).
- A population pharmacokinetic (PK) model was previously developed using Phase 1 data.
- Refinement of the PK model is necessary to incorporate data from infected patient populations.
Purpose of the Study:
- To refine the existing population PK model for omadacycline.
- To incorporate data from healthy subjects and infected patients across various studies.
- To evaluate the model's ability to predict drug exposure and support PK-PD assessments.
Main Methods:
- Pooled data from multiple Phase 1, Phase 1b, and Phase 3 studies involving omadacycline.
- Developed a three-compartment population PK model with first-order absorption and elimination.
- Incorporated transit compartments for oral absorption delay, modeled epithelial lining fluid (ELF) concentrations, and included a food effect.
- Identified covariates influencing omadacycline PK, with sex being the only significant factor.
Main Results:
- The final population PK model accurately described omadacycline PK in both healthy subjects and infected patients.
- Sex was identified as a significant covariate, with females exhibiting 15.6% lower clearance than males.
- The model demonstrated a precise and unbiased fit to the data and robust predictive performance for plasma and ELF exposures.
- The model successfully predicted central tendency and variability in concentration-time profiles using external Phase 3 data.
Conclusions:
- A robust population PK model for omadacycline was developed, integrating data from diverse studies and populations.
- The model accurately predicts omadacycline exposure in plasma and ELF, accounting for factors like food intake and sex.
- This refined model is valuable for supporting pharmacokinetic-pharmacodynamic (PK-PD) analyses and target attainment assessments for omadacycline therapy.
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