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      Population pharmacokinetics and dosing optimization of imipenem in Chinese elderly patients

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          Abstract

          Objectives

          To assess the pharmacokinetics and pharmacodynamics of imipenem in a retrospective cohort of hospitalized Chinese older patients.

          Methods

          A population pharmacokinetic (PPK) model was constructed utilizing a nonlinear mixed-effects modeling approach. The final model underwent evaluation through bootstrap resampling and visual predictive checks. Additionally, a population pharmacokinetic and pharmacodynamic analysis was conducted employing Monte Carlo simulations to investigate the impact of commonly used dosing regimens (0.25 g every 6 h, 0.5 g every 6 h, 0.5 g every 8 h, 1 g every 6 h, 1 g every 8 h, and 1 g every 12 h) on the likelihood of achieving the target therapeutic outcomes.

          Results

          A total of 370 observations available from 142 patients were incorporated in the PPK model. A two-compartment PPK model with linear elimination best predicted the imipenem plasma concentrations, with the creatinine clearance as a significant covariate of clearance. Typical estimates for clearance, inter-compartmental clearance, central and peripheral volume were 13.1 L·h −1, 11.9 L·h −1, 11.7 L, 29.3 L, respectively.

          Conclusion

          The pharmacokinetics of imipenem in elderly patients were effectively characterized by the established PPK model, which includes creatinine clearance as a key covariate. This research will enhance our understanding of imipenem elimination and support precision dosing in this patient demographic.

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          Most cited references29

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          Prediction-corrected visual predictive checks for diagnosing nonlinear mixed-effects models.

          Informative diagnostic tools are vital to the development of useful mixed-effects models. The Visual Predictive Check (VPC) is a popular tool for evaluating the performance of population PK and PKPD models. Ideally, a VPC will diagnose both the fixed and random effects in a mixed-effects model. In many cases, this can be done by comparing different percentiles of the observed data to percentiles of simulated data, generally grouped together within bins of an independent variable. However, the diagnostic value of a VPC can be hampered by binning across a large variability in dose and/or influential covariates. VPCs can also be misleading if applied to data following adaptive designs such as dose adjustments. The prediction-corrected VPC (pcVPC) offers a solution to these problems while retaining the visual interpretation of the traditional VPC. In a pcVPC, the variability coming from binning across independent variables is removed by normalizing the observed and simulated dependent variable based on the typical population prediction for the median independent variable in the bin. The principal benefit with the pcVPC has been explored by application to both simulated and real examples of PK and PKPD models. The investigated examples demonstrate that pcVPCs have an enhanced ability to diagnose model misspecification especially with respect to random effects models in a range of situations. The pcVPC was in contrast to traditional VPCs shown to be readily applicable to data from studies with a priori and/or a posteriori dose adaptations.
            • Record: found
            • Abstract: found
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            Carbapenems: past, present, and future.

            In this review, we summarize the current "state of the art" of carbapenem antibiotics and their role in our antimicrobial armamentarium. Among the β-lactams currently available, carbapenems are unique because they are relatively resistant to hydrolysis by most β-lactamases, in some cases act as "slow substrates" or inhibitors of β-lactamases, and still target penicillin binding proteins. This "value-added feature" of inhibiting β-lactamases serves as a major rationale for expansion of this class of β-lactams. We describe the initial discovery and development of the carbapenem family of β-lactams. Of the early carbapenems evaluated, thienamycin demonstrated the greatest antimicrobial activity and became the parent compound for all subsequent carbapenems. To date, more than 80 compounds with mostly improved antimicrobial properties, compared to those of thienamycin, are described in the literature. We also highlight important features of the carbapenems that are presently in clinical use: imipenem-cilastatin, meropenem, ertapenem, doripenem, panipenem-betamipron, and biapenem. In closing, we emphasize some major challenges and urge the medicinal chemist to continue development of these versatile and potent compounds, as they have served us well for more than 3 decades.
              • Record: found
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              Age-related changes in pharmacokinetics and pharmacodynamics: basic principles and practical applications

                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/2889107/overviewRole: Role: Role:
                Role: Role:
                URI : https://loop.frontiersin.org/people/1571284/overviewRole: Role: Role:
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                URI : https://loop.frontiersin.org/people/1390100/overviewRole: Role: Role:
                Journal
                Front Pharmacol
                Front Pharmacol
                Front. Pharmacol.
                Frontiers in Pharmacology
                Frontiers Media S.A.
                1663-9812
                09 January 2025
                2024
                : 15
                : 1524272
                Affiliations
                [1] 1 Department of Pharmacy , The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School , Nanjing, Jiangsu, China
                [2] 2 Department of Pharmacy , Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine , Nanjing, Jiangsu, China
                Author notes

                Edited by: Vasundhra Bhandari, National Institute of Pharmaceutical Education and Research, India

                Reviewed by: Pooja MIttal, Chitkara University, India

                Ahmed Elmokadem, Metrum Research Group, United States

                *Correspondence: Huaijun Zhu, huaijun.zhu@ 123456gmail.com
                Article
                1524272
                10.3389/fphar.2024.1524272
                11754279
                39850576
                78d0931d-e05b-4f6d-bb43-d6423cbd2cc3
                Copyright © 2025 Wang, Fang, Luo, Jin and Zhu.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 07 November 2024
                : 20 December 2024
                Funding
                The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by Jiangsu Research Hospital Association for Precision Medication (Grant No. JY202231) and Nanjing Pharmaceutical Association Changzhou Siyao Hospital Pharmaceutical Research Fund project (Grant No. 2022YX006).
                Categories
                Pharmacology
                Original Research
                Custom metadata
                Pharmacology of Infectious Diseases

                Pharmacology & Pharmaceutical medicine
                imipenem,population pharmacokinetics,dosing optimization,elderly patients,monte carlo

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