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611. Meropenem Dosage Optimization in Critically Ill Patients Based on a Population Pharmacokinetic Approach.

BACKGROUND: Meropenem (MRP) is commonly used to treat serious infections and displays wide variability in plasma concentrations after administration of the same dose in critically ill patients due to factors that affect MRP volume of distribution (V) and clearance (CL) (e.g. edema, sepsis, kidney fa...

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Autores principales: Romano-Aguilar, Melissa, Ortiz-Álvarez, Arturo, Medellín-Garibay, Susanna, Martínez-Gutiérrez, Fidel, Jung-Cook, Helgi, Milán-Segovia, Rosa C, Romano-Moreno, Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752118/
http://dx.doi.org/10.1093/ofid/ofac492.663
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author Romano-Aguilar, Melissa
Ortiz-Álvarez, Arturo
Medellín-Garibay, Susanna
Martínez-Gutiérrez, Fidel
Jung-Cook, Helgi
Milán-Segovia, Rosa C
Romano-Moreno, Silvia
author_facet Romano-Aguilar, Melissa
Ortiz-Álvarez, Arturo
Medellín-Garibay, Susanna
Martínez-Gutiérrez, Fidel
Jung-Cook, Helgi
Milán-Segovia, Rosa C
Romano-Moreno, Silvia
author_sort Romano-Aguilar, Melissa
collection PubMed
description BACKGROUND: Meropenem (MRP) is commonly used to treat serious infections and displays wide variability in plasma concentrations after administration of the same dose in critically ill patients due to factors that affect MRP volume of distribution (V) and clearance (CL) (e.g. edema, sepsis, kidney failure). These alterations could lead to not achieve the pharmacokinetic/pharmacodinamic (PK/PD) target with the consequent failure of antibacterial therapy. The aim of this study was to describe MRP pharmacokinetic parameters in critically ill patients in order to establish safe and effective initial dosing regimens adapted to patients characteristics. METHODS: This prospective observational study enrolled 78 critically ill patients receiving MRP based on the clinical, biochemical and microbiological findings. Blood sampling occurred at pre-dose, 1, 3 and 6h post-dose. MRP plasma concentrations were determined by high-performance liquid chromatography. Population pharmacokinetic modelling and Monte Carlo simulations were executed with NONMEM. Several regimen dosages of MRP under different scenarios were simulated in order to achieve high probability of target attainment (PTA > 90%) for PK/PD targets of %t > CMI 50% and 100%. [Figure: see text] RESULTS: In critically-ill Mexican patients, MRP PK were best described by a one compartment model. The final population model was: CL (L/h) = 11.9 ∗ (CLCr/102.23) and V (L) = 25.2. Final model was internally validated proving that it was stable and showed an adequate estimation of variability. Precision and bias fit were assessed through external validation comparing the predictive performance of the base and final models. Different initial dosage regimens were found for CLCr values in which the clinician can choose between a lower dose, a longer dosage interval or a shorter infusion time. However, for patients with augmented renal clearance or PK/PD target 100%t > MIC it was observed that no regimen complied PTA > 90%, suggesting a continuous infusion would be more appropriate. [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: This study demonstrates the wide variability in MRP pharmacokinetics and enhances the need to include therapeutic drug monitoring as part of stewardships interventions in critically ill patients to maximize bacteriological and clinical responses. DISCLOSURES: All Authors: No reported disclosures.
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spelling pubmed-97521182022-12-16 611. Meropenem Dosage Optimization in Critically Ill Patients Based on a Population Pharmacokinetic Approach. Romano-Aguilar, Melissa Ortiz-Álvarez, Arturo Medellín-Garibay, Susanna Martínez-Gutiérrez, Fidel Jung-Cook, Helgi Milán-Segovia, Rosa C Romano-Moreno, Silvia Open Forum Infect Dis Abstracts BACKGROUND: Meropenem (MRP) is commonly used to treat serious infections and displays wide variability in plasma concentrations after administration of the same dose in critically ill patients due to factors that affect MRP volume of distribution (V) and clearance (CL) (e.g. edema, sepsis, kidney failure). These alterations could lead to not achieve the pharmacokinetic/pharmacodinamic (PK/PD) target with the consequent failure of antibacterial therapy. The aim of this study was to describe MRP pharmacokinetic parameters in critically ill patients in order to establish safe and effective initial dosing regimens adapted to patients characteristics. METHODS: This prospective observational study enrolled 78 critically ill patients receiving MRP based on the clinical, biochemical and microbiological findings. Blood sampling occurred at pre-dose, 1, 3 and 6h post-dose. MRP plasma concentrations were determined by high-performance liquid chromatography. Population pharmacokinetic modelling and Monte Carlo simulations were executed with NONMEM. Several regimen dosages of MRP under different scenarios were simulated in order to achieve high probability of target attainment (PTA > 90%) for PK/PD targets of %t > CMI 50% and 100%. [Figure: see text] RESULTS: In critically-ill Mexican patients, MRP PK were best described by a one compartment model. The final population model was: CL (L/h) = 11.9 ∗ (CLCr/102.23) and V (L) = 25.2. Final model was internally validated proving that it was stable and showed an adequate estimation of variability. Precision and bias fit were assessed through external validation comparing the predictive performance of the base and final models. Different initial dosage regimens were found for CLCr values in which the clinician can choose between a lower dose, a longer dosage interval or a shorter infusion time. However, for patients with augmented renal clearance or PK/PD target 100%t > MIC it was observed that no regimen complied PTA > 90%, suggesting a continuous infusion would be more appropriate. [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: This study demonstrates the wide variability in MRP pharmacokinetics and enhances the need to include therapeutic drug monitoring as part of stewardships interventions in critically ill patients to maximize bacteriological and clinical responses. DISCLOSURES: All Authors: No reported disclosures. Oxford University Press 2022-12-15 /pmc/articles/PMC9752118/ http://dx.doi.org/10.1093/ofid/ofac492.663 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Romano-Aguilar, Melissa
Ortiz-Álvarez, Arturo
Medellín-Garibay, Susanna
Martínez-Gutiérrez, Fidel
Jung-Cook, Helgi
Milán-Segovia, Rosa C
Romano-Moreno, Silvia
611. Meropenem Dosage Optimization in Critically Ill Patients Based on a Population Pharmacokinetic Approach.
title 611. Meropenem Dosage Optimization in Critically Ill Patients Based on a Population Pharmacokinetic Approach.
title_full 611. Meropenem Dosage Optimization in Critically Ill Patients Based on a Population Pharmacokinetic Approach.
title_fullStr 611. Meropenem Dosage Optimization in Critically Ill Patients Based on a Population Pharmacokinetic Approach.
title_full_unstemmed 611. Meropenem Dosage Optimization in Critically Ill Patients Based on a Population Pharmacokinetic Approach.
title_short 611. Meropenem Dosage Optimization in Critically Ill Patients Based on a Population Pharmacokinetic Approach.
title_sort 611. meropenem dosage optimization in critically ill patients based on a population pharmacokinetic approach.
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752118/
http://dx.doi.org/10.1093/ofid/ofac492.663
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