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612. Pharmacokinetics of Piperacillin-Tazobactam in Patients with Severe Infections

BACKGROUND: Piperacillin-Tazobactam (PIP/TAZ) is a combination of a β-lactam antibiotic with a β-lactamase inhibitor, used to treat moderate to severe infections due to its broad-spectrum antibacterial activity. Its bactericidal effect is time-dependent. Therefore, the free-drug concentration should...

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Autores principales: Rodríguez-Báez, Ana S, Ortiz-Álvarez, Arturo, Romano-Aguilar, Melissa, Martínez-Gutiérrez, Fidel, Romano-Moreno, Silvia, Milán-Segovia, Rosa C, Medellín-Garibay, Susanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752069/
http://dx.doi.org/10.1093/ofid/ofac492.664
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author Rodríguez-Báez, Ana S
Ortiz-Álvarez, Arturo
Romano-Aguilar, Melissa
Martínez-Gutiérrez, Fidel
Romano-Moreno, Silvia
Milán-Segovia, Rosa C
Medellín-Garibay, Susanna
author_facet Rodríguez-Báez, Ana S
Ortiz-Álvarez, Arturo
Romano-Aguilar, Melissa
Martínez-Gutiérrez, Fidel
Romano-Moreno, Silvia
Milán-Segovia, Rosa C
Medellín-Garibay, Susanna
author_sort Rodríguez-Báez, Ana S
collection PubMed
description BACKGROUND: Piperacillin-Tazobactam (PIP/TAZ) is a combination of a β-lactam antibiotic with a β-lactamase inhibitor, used to treat moderate to severe infections due to its broad-spectrum antibacterial activity. Its bactericidal effect is time-dependent. Therefore, the free-drug concentration should remain above the minimum inhibitory concentration during at least 50% of the dosing interval. Patients with severe infections develop pathophysiological changes that alter drugs pharmacokinetics (PK), leading to only 30% of probability of target attainment in clinical setting. METHODS: A prospective observational study was performed in patients with severe infections from Hospital Central “Dr. Ignacio Morones Prieto”. The protocol was approved by the Research and Ethics Committee (register 05-20) and patients signed written informed consent. Samples were collected at steady-state and plasma concentrations were quantified by liquid chromatography coupled to mass spectrometry. Data were analyzed by a population approach using NONMEM® software. RESULTS: A total of 52 patients were included (52% male) with a mean age of 46 ± 17 years and a body mass index of 25 ± 5 Kg/m(2). According to the Akaike information criterion and visual inspection, a one-compartment open model was chosen to describe the concentration vs time data (n=156) for both drugs. Typical values (relative standard error) of PK parameters obtained were Clearance [CL(PIP) (L/h)] = 8.79 (12%) and Volume of distribution [V(PIP) (L)] = 17.6 (13%); and CL(TAZ) (L/h) = 12.6 (14%), V(TAZ) (L) = 32.8 (13%). Interindividual variability (IIV) of each parameter was modeled by exponential error and reported as coefficient of variation as follows: 75.3% and 88.7% for CL; 67.2% and 68.8% for V of PIP and TAZ, respectively. Finally, residual error was modeled as additive and presented a standard deviation (SD) of 7.28 µg/mL for PIP, and for TAZ was modeled as a combined with a SD of 0.22 µg/mL and a coefficient of variation of 17.32%. CONCLUSION: Individualization and optimization of β-lactam dosing are essential in drugs with wide IIV as PIP/TAZ; hence, development of a population PK model will provide a valuable aid in explaining and quantifying some of this variability to allow a priori predictions to design initial regimens to reach pharmacotherapeutic targets. DISCLOSURES: All Authors: No reported disclosures.
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spelling pubmed-97520692022-12-16 612. Pharmacokinetics of Piperacillin-Tazobactam in Patients with Severe Infections Rodríguez-Báez, Ana S Ortiz-Álvarez, Arturo Romano-Aguilar, Melissa Martínez-Gutiérrez, Fidel Romano-Moreno, Silvia Milán-Segovia, Rosa C Medellín-Garibay, Susanna Open Forum Infect Dis Abstracts BACKGROUND: Piperacillin-Tazobactam (PIP/TAZ) is a combination of a β-lactam antibiotic with a β-lactamase inhibitor, used to treat moderate to severe infections due to its broad-spectrum antibacterial activity. Its bactericidal effect is time-dependent. Therefore, the free-drug concentration should remain above the minimum inhibitory concentration during at least 50% of the dosing interval. Patients with severe infections develop pathophysiological changes that alter drugs pharmacokinetics (PK), leading to only 30% of probability of target attainment in clinical setting. METHODS: A prospective observational study was performed in patients with severe infections from Hospital Central “Dr. Ignacio Morones Prieto”. The protocol was approved by the Research and Ethics Committee (register 05-20) and patients signed written informed consent. Samples were collected at steady-state and plasma concentrations were quantified by liquid chromatography coupled to mass spectrometry. Data were analyzed by a population approach using NONMEM® software. RESULTS: A total of 52 patients were included (52% male) with a mean age of 46 ± 17 years and a body mass index of 25 ± 5 Kg/m(2). According to the Akaike information criterion and visual inspection, a one-compartment open model was chosen to describe the concentration vs time data (n=156) for both drugs. Typical values (relative standard error) of PK parameters obtained were Clearance [CL(PIP) (L/h)] = 8.79 (12%) and Volume of distribution [V(PIP) (L)] = 17.6 (13%); and CL(TAZ) (L/h) = 12.6 (14%), V(TAZ) (L) = 32.8 (13%). Interindividual variability (IIV) of each parameter was modeled by exponential error and reported as coefficient of variation as follows: 75.3% and 88.7% for CL; 67.2% and 68.8% for V of PIP and TAZ, respectively. Finally, residual error was modeled as additive and presented a standard deviation (SD) of 7.28 µg/mL for PIP, and for TAZ was modeled as a combined with a SD of 0.22 µg/mL and a coefficient of variation of 17.32%. CONCLUSION: Individualization and optimization of β-lactam dosing are essential in drugs with wide IIV as PIP/TAZ; hence, development of a population PK model will provide a valuable aid in explaining and quantifying some of this variability to allow a priori predictions to design initial regimens to reach pharmacotherapeutic targets. DISCLOSURES: All Authors: No reported disclosures. Oxford University Press 2022-12-15 /pmc/articles/PMC9752069/ http://dx.doi.org/10.1093/ofid/ofac492.664 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
Rodríguez-Báez, Ana S
Ortiz-Álvarez, Arturo
Romano-Aguilar, Melissa
Martínez-Gutiérrez, Fidel
Romano-Moreno, Silvia
Milán-Segovia, Rosa C
Medellín-Garibay, Susanna
612. Pharmacokinetics of Piperacillin-Tazobactam in Patients with Severe Infections
title 612. Pharmacokinetics of Piperacillin-Tazobactam in Patients with Severe Infections
title_full 612. Pharmacokinetics of Piperacillin-Tazobactam in Patients with Severe Infections
title_fullStr 612. Pharmacokinetics of Piperacillin-Tazobactam in Patients with Severe Infections
title_full_unstemmed 612. Pharmacokinetics of Piperacillin-Tazobactam in Patients with Severe Infections
title_short 612. Pharmacokinetics of Piperacillin-Tazobactam in Patients with Severe Infections
title_sort 612. pharmacokinetics of piperacillin-tazobactam in patients with severe infections
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752069/
http://dx.doi.org/10.1093/ofid/ofac492.664
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