Background
Patients receiving venoarterial extracorporeal membrane oxygenation (VA ECMO) therapy often require antibiotics to prevent and treat infections. Our objective was to determine an optimal dosage regimen of meropenem in patients receiving VA ECMO by developing a population pharmacokinetic model.
Methods
This was a prospective cohort study. Blood samples were collected during ECMO (ECMO-ON) and after ECMO (ECMO-OFF). The population pharmacokinetic model was developed using nonlinear mixed-effects modelling. A Monte Carlo simulation was used (n=10,000) to assess the probability of target attainment.
Results
Thirteen adult patients on ECMO receiving meropenem were included. Meropenem pharmacokinetics was best fitted by a two-compartment model. Covariate analysis indicated that continuous renal replacement therapy (CRRT) was negatively correlated with clearance (CL). The final pharmacokinetic model was: CL (L/h) = 3.79 × 0.44CRRT; where use of CRRT = 1, no CRRT = 0, central volume of distribution (L) = 2.4, peripheral volume of distribution (L) = 8.56, and intercompartmental clearance (L/h) = 21.3. According to the simulation results, 1–2 g q8h intravenous administration over 20 min was sufficient in patients without CRRT for both susceptible (minimum inhibitory concentration (MIC) = 2 mg/L) and resistant (MIC = 8 mg/L) pathogens, regardless of ECMO use (40% fT>MIC target). However, if more aggressive treatment is needed (100% fT>MIC target), dose increment or extended infusion is recommended.
Conclusions
We established a population pharmacokinetic model for meropenem in patients receiving VA ECMO and suggested an optimal dosage regimen. These results should improve treatment success and survival in VA ECMO patients.
Clinicaltrials.gov registration # NCT02581280

Figure 1
This is a list of supplementary files associated with this preprint. Click to download.
Additional file 1. Goodness-of-fit plots of the final population model for meropenem
Additional file 2. Probability of target attainment for 10,000 simulated subjects given meropenem
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Posted 19 Apr, 2021
Posted 19 Apr, 2021
Background
Patients receiving venoarterial extracorporeal membrane oxygenation (VA ECMO) therapy often require antibiotics to prevent and treat infections. Our objective was to determine an optimal dosage regimen of meropenem in patients receiving VA ECMO by developing a population pharmacokinetic model.
Methods
This was a prospective cohort study. Blood samples were collected during ECMO (ECMO-ON) and after ECMO (ECMO-OFF). The population pharmacokinetic model was developed using nonlinear mixed-effects modelling. A Monte Carlo simulation was used (n=10,000) to assess the probability of target attainment.
Results
Thirteen adult patients on ECMO receiving meropenem were included. Meropenem pharmacokinetics was best fitted by a two-compartment model. Covariate analysis indicated that continuous renal replacement therapy (CRRT) was negatively correlated with clearance (CL). The final pharmacokinetic model was: CL (L/h) = 3.79 × 0.44CRRT; where use of CRRT = 1, no CRRT = 0, central volume of distribution (L) = 2.4, peripheral volume of distribution (L) = 8.56, and intercompartmental clearance (L/h) = 21.3. According to the simulation results, 1–2 g q8h intravenous administration over 20 min was sufficient in patients without CRRT for both susceptible (minimum inhibitory concentration (MIC) = 2 mg/L) and resistant (MIC = 8 mg/L) pathogens, regardless of ECMO use (40% fT>MIC target). However, if more aggressive treatment is needed (100% fT>MIC target), dose increment or extended infusion is recommended.
Conclusions
We established a population pharmacokinetic model for meropenem in patients receiving VA ECMO and suggested an optimal dosage regimen. These results should improve treatment success and survival in VA ECMO patients.
Clinicaltrials.gov registration # NCT02581280

Figure 1
This is a list of supplementary files associated with this preprint. Click to download.
Additional file 1. Goodness-of-fit plots of the final population model for meropenem
Additional file 2. Probability of target attainment for 10,000 simulated subjects given meropenem
Loading...