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. 2024 Nov;63(11):1573-1583.
doi: 10.1007/s40262-024-01436-6. Epub 2024 Oct 25.

Impact of Continuous Infusion Meropenem PK/PD Target Attainment on C-Reactive Protein Dynamics in Critically Ill Patients With Documented Gram-Negative Hospital-Acquired or Ventilator-Associated Pneumonia

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Impact of Continuous Infusion Meropenem PK/PD Target Attainment on C-Reactive Protein Dynamics in Critically Ill Patients With Documented Gram-Negative Hospital-Acquired or Ventilator-Associated Pneumonia

Carla Troisi et al. Clin Pharmacokinet. 2024 Nov.

Abstract

Background and objective: Population pharmacokinetic/pharmacodynamic (PK/PD) modelling of antibiotics including C-reactive protein (C-RP) dynamics could be helpful in predicting the efficacy of antimicrobials. We developed a PK/PD model for assessing the impact of continuous infusion (CI) meropenem PK/PD target attainment on C-RP dynamics in critically ill patients with documented Gram-negative hospital- (HAP) or ventilator-acquired pneumonia (VAP).

Methods: Patients were grouped according to the type of antibiotic treatment received [meropenem monotherapy; meropenem plus empirical anti-MRSA (methicillin-resistant Staphylococcus aureus) therapy; meropenem in combination with another anti-Gram-negative active agent; meropenem plus a targeted anti-MRSA therapy]. A one-compartment population PK model of CI meropenem was developed by including all patients. A full C-RP production inhibition model was developed for fitting the PD data by including only patients receiving meropenem monotherapy or meropenem plus empirical anti-MRSA therapy. Monte Carlo simulations explored the relationship between the type of PK/PD target attainment of CI meropenem, defined as optimal (steady-state plasma concentration [Css] to minimum inhibitory concentration [MIC] ratio = 4-8), quasi-optimal (Css/MIC = 1-4) and sub-optimal (Css/MIC < 1) and the magnitude of C-RP production inhibition over time.

Results: A total of 64 patients providing 211 meropenem concentrations were included in the PK analysis, whereas 47 patients providing 328 C-RP data were included in the PD model. Simulations showed that optimal PK/PD target attainment was associated with the highest and most rapid C-RP production inhibition (44% and 56% at days 2 and 4, respectively). Conversely, sub-optimal PK/PD target attainment was shown to be almost ineffective (< 5% at day 4 and < 10% at day 10).

Conclusion: Our PK/PD model predicted that attaining optimal PK/PD target with CI meropenem may grant prompt and intense C-RP decrease among critically ill patients receiving targeted monotherapy for Gram-negative HAP/VAP, thus anticipating efficacy.

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Conflict of interest statement

Declarations Ethics Approval and Consent to Participate The study was approved by the Local Ethics Committee (No. 308/2021/Oss/AOUBo on 24 May 2021). Consent for Publication Due to the retrospective nature of this investigation, informed written consent was waived. Availability of Data and Materials The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request. Competing Interests The authors declare that they have no competing interests. Funding This project has received funding from European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 861323. Authors' Contributions CT analyzed and wrote the initial manuscript; PGC wrote the manuscript and interpreted patient data; MR collected patient data; TT collected and analyzed patient data; AS collected and analyzed patient data; CvH, PV and FP supervised the project.

Figures

Fig. 1
Fig. 1
Representative continuous indirect response pharmacokinetic/pharmacodynamic model, based on a one-compartment pharmacokinetic model and meropenem effect described by inhibition of C-reactive protein (C-RP) production. CL meropenem clearance, C(t) meropenem concentration, kin C-RP production rate, kout C-RP degradation rate
Fig. 2
Fig. 2
Flow chart of patient inclusion and exclusion criteria and of classification into treatment groups according to the presence and type of co-administered antimicrobial. HAP hospital-acquired pneumonia, PD pharmacodynamics, PK pharmacokinetics, VAP ventilator-associated pneumonia
Fig. 3
Fig. 3
Diagnostic plots for the population pharmacokinetic (left panels) and pharmacodynamic (right panels) models. Shown are observed versus individual-predicted concentrations (A) and individual weighted residuals (IWRES) versus individual-predicted concentrations (C) for meropenem in plasma, and observed versus individual-predicted concentrations (B) and individual weighted residuals (IWRES) versus individual-predicted concentrations (D) for C-reactive protein (C-RP) in plasma. The dashed blue line represents the line of regression
Fig. 4
Fig. 4
Visual predictive check (VPC) for the population pharmacokinetic (A) and pharmacodynamic (B) models. Blue lines represent the median, 10th and 90th percentiles of the observed values; shaded areas are the prediction intervals for the median (red central area) and 10th and 90th percentiles (light blue bottom and top areas). C-RP C-reactive protein
Fig. 5
Fig. 5
Simulated median C-RP relative reductions from baseline according to different Css/MIC ratios in patients treated with meropenem monotherapy (A) and in those treated with meropenem plus an empirical anti-MRSA agent (B). C-RP C-reactive protein, Css steady-state meropenem concentration, MIC minimum inhibitory concentration, MRSA methicillin-resistant Staphylococcus aureus

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