Evaluation of Meropenem-Ciprofloxacin Combination Dosage Regimens for the Pharmacokinetics of Critically Ill Patients With Augmented Renal Clearance.

Augmented renal clearance (ARC, creatinine clearance > 130 mL/minute) makes difficult achievement of effective concentrations of renally cleared antibiotics in critically ill patients. This study examined the synergistic killing and resistance suppression for meropenem-ciprofloxacin combination dosage regimens against Pseudomonas aeruginosa isolates within the context of ARC. Clinically relevant meropenem and ciprofloxacin concentrations, alone and in combinations, were studied against three clinical isolates with a range of susceptibilities to each of the antibiotics. Isolate Pa1280 was susceptible to both meropenem and ciprofloxacin, Pa1284 had intermediate susceptibility to meropenem and was susceptible to ciprofloxacin, and CR380 was resistant to meropenem and had intermediate susceptibility to ciprofloxacin. Initially, isolates were studied in 72-hour static-concentration time-kill (SCTK) studies. Subsequently, the pharmacokinetic profiles expected in patients with ARC receiving dosage regimens, including at the highest approved daily doses (meropenem 6 g daily divided and administered as 0.5-hour infusions every 8 hours, or as a continuous infusion; ciprofloxacin 0.4 g as 1-hour infusions every 8 hours), were examined in a dynamic hollow-fiber infection model (HFIM) over 7-10 days. In both SCTK and HFIM, combination regimens were generally synergistic and suppressed growth of less-susceptible subpopulations, these effects being smaller for isolate CR380. The time-courses of total and less-susceptible bacterial populations in the HFIM were well-described by mechanism-based models, which enabled conduct of Monte Carlo simulations to predict likely effectiveness of approved dosage regimens at different creatinine clearances. Optimized meropenem-ciprofloxacin combination dosage regimens may be a viable consideration for P. aeruginosa infections in critically ill patients with ARC.

Substantial Impact of Altered Pharmacokinetics in Critically Ill Patients on the Antibacterial Effects of Meropenem Evaluated via the Dynamic Hollow-Fiber Infection Model.

Critically ill patients frequently have substantially altered pharmacokinetics compared to non-critically ill patients. We investigated the impact of pharmacokinetic alterations on bacterial killing and resistance for commonly used meropenem dosing regimens. A Pseudomonas aeruginosa isolate (MICmeropenem 0.25 mg/liter) was studied in the hollow-fiber infection model (inoculum ∼107.5 CFU/ml; 10 days). Pharmacokinetic profiles representing critically ill patients with augmented renal clearance (ARC), normal, or impaired renal function (creatinine clearances of 285, 120, or ∼10 ml/min, respectively) were generated for three meropenem regimens (2, 1, and 0.5 g administered as 8-hourly 30-min infusions), plus 1 g given 12 hourly with impaired renal function. The time course of total and less-susceptible populations and MICs were determined. Mechanism-based modeling (MBM) was performed using S-ADAPT. All dosing regimens across all renal functions produced similar initial bacterial killing (≤∼2.5 log10). For all regimens subjected to ARC, regrowth occurred after 7 h. For normal and impaired renal function, bacterial killing continued until 23 to 47 h; regrowth then occurred with 0.5- and 1-g regimens with normal renal function (fT>5×MIC = 56 and 69%, fCmin/MIC < 2); the emergence of less-susceptible populations (≥32-fold increases in MIC) accompanied all regrowth. Bacterial counts remained suppressed across 10 days with normal (2-g 8-hourly regimen) and impaired (all regimens) renal function (fT>5×MIC ≥ 82%, fCmin/MIC ≥ 2). The MBM successfully described bacterial killing and regrowth for all renal functions and regimens simultaneously. Optimized dosing regimens, including extended infusions and/or combinations, supported by MBM and Monte Carlo simulations, should be evaluated in the context of ARC to maximize bacterial killing and suppress resistance emergence.