REFERENCES Background: Omadacycline, a novel aminomethylcycline antibiotic active against Gram-positive and Gram–negative organisms, is in development for the treatment of patients with acute bacterial skin and skin structure infections (ABSSSI)… Click to show full abstract
REFERENCES Background: Omadacycline, a novel aminomethylcycline antibiotic active against Gram-positive and Gram–negative organisms, is in development for the treatment of patients with acute bacterial skin and skin structure infections (ABSSSI) and community-acquired bacterial pneumonia (CABP). Data from a Phase 1 epithelial lining fluid (ELF) study were used to develop population pharmacokinetic (PK) models to describe the time course of omadacycline and tigecycline in both plasma and ELF. Methods: Subjects were randomized to receive either omadacycline 100 mg IV q12h x 2 doses followed by 100 mg q24h or tigecycline 100 mg IV x 1 then 50 mg q12h (42 and 21 subjects, respectively). Plasma and ELF samples were collected on Day 4 of therapy. Population PK models were fit to the collected data using NONMEN 7.2. The structural models for plasma were based on previously published population PK models [ECCMID 2016; poster P1320, AAC 2006; 50:3701–7]. Various structural models were evaluated for the characterization of ELF concentrations. Day 4 total-drug ELF and totaland free-drug plasma area under the concentration time curve (AUC) values were computed using numeric integration; these data were used to determine ELF penetration ratios. A fixed protein binding estimate (20%) was used for omadacycline while a nonlinear function was used to describe tigecycline’s protein binding [AAC 2010; 54:5209-13]. Results: Linear threeand two-compartment models with ELF incorporated into the first peripheral compartment best described the omadacycline and tigecycline PK data, respectively. The ELF visual predictive checks displayed in Figure 1 show that the models accurately captured the omadacycline and tigecycline ELF concentration-time profiles. Model-computed omadacycline and tigecycline total-drug ELF AUC to total-drug plasma AUC ratios were 1.54 and 1.16, respectively. Model-computed total-drug ELF AUC to free-drug plasma AUC ratios were 1.93 and 1.87, respectively. Conclusion: Population PK models were successfully developed to characterize the disposition of both omadacycline and tigecycline in plasma and ELF. When assessed relative to free-drug plasma exposures, omadacycline and tigecycline demonstrated similar ELF penetration. Use of these data with PK-PD target attainment analyses will be useful to support omadacycline dose selection for CABP. ABSTRACT
               
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