Literature DB >> 27185798

Effect of Obesity on the Population Pharmacokinetics of Meropenem in Critically Ill Patients.

Abdulaziz S Alobaid1, Steven C Wallis1, Paul Jarrett2, Therese Starr2, Janine Stuart2, Melissa Lassig-Smith2, Jenny Lisette Ordóñez Mejia1, Michael S Roberts3, Jeffrey Lipman4, Jason A Roberts5.   

Abstract

Severe pathophysiological changes in critical illness can lead to dramatically altered antimicrobial pharmacokinetics (PK). The additional effect of obesity on PK potentially increases the challenge for effective dosing. The aim of this prospective study was to describe the population PK of meropenem for a cohort of critically ill patients, including obese and morbidly obese patients. Critically ill patients prescribed meropenem were recruited into the following three body mass index (BMI) groups: nonobese (18.5 to 29.9 kg/m(2)), obese (30.0 to 39.9 kg/m(2)), and morbidly obese (≥40 kg/m(2)). Serial plasma samples were taken, and meropenem concentrations were determined using a validated chromatographic method. Population PK analysis and Monte Carlo dosing simulations were undertaken with Pmetrics. Nineteen critically ill patients with different BMI categories were enrolled. The patients' mean ± standard deviation (SD) age, weight, and BMI were 49 ± 15.9 years, 95 ± 22.0 kg, and 33 ± 7.0 kg/m(2), respectively. A two-compartment model described the data adequately. The mean ± SD parameter estimates for the final covariate model were as follows: clearance (CL), 15.5 ± 6.0 liters/h; volume of distribution in the central compartment (V1), 11.7 ± 5.8 liters; intercompartmental clearance from the central compartment to the peripheral compartment, 25.6 ± 35.1 liters h(-1); and intercompartmental clearance from the peripheral compartment to the central compartment, 8.32 ± 12.24 liters h(-1) Higher creatinine clearance (CLCR) was associated with a lower probability of target attainment, with BMI having little effect. Although obesity was found to be associated with an increased V1, dose adjustment based on CLCR appears to be more important than patient BMI.
Copyright © 2016, American Society for Microbiology. All Rights Reserved.

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Year:  2016        PMID: 27185798      PMCID: PMC4958171          DOI: 10.1128/AAC.00531-16

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  19 in total

1.  Steady-state pharmacokinetics and pharmacodynamics of meropenem in morbidly obese patients hospitalized in an intensive care unit.

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Journal:  J Clin Pharmacol       Date:  2013-10-19       Impact factor: 3.126

2.  Pitfalls of using estimations of glomerular filtration rate in an intensive care population.

Authors:  J H Martin; M F Fay; A Udy; J Roberts; C Kirkpatrick; J Ungerer; J Lipman
Journal:  Intern Med J       Date:  2011-07       Impact factor: 2.048

3.  Prevalence of class-I, class-II and class-III obesity in Australian adults between 1995 and 2011-12.

Authors:  Catherine Keating; Kathryn Backholer; Emma Gearon; Christopher Stevenson; Boyd Swinburn; Marj Moodie; Rob Carter; Anna Peeters
Journal:  Obes Res Clin Pract       Date:  2015-03-04       Impact factor: 2.288

Review 4.  Effect of obesity on the pharmacokinetics of antimicrobials in critically ill patients: A structured review.

Authors:  Abdulaziz S Alobaid; Maya Hites; Jeffrey Lipman; Fabio Silvio Taccone; Jason A Roberts
Journal:  Int J Antimicrob Agents       Date:  2016-02-23       Impact factor: 5.283

Review 5.  The pharmacology of meropenem, a new carbapenem antibiotic.

Authors:  W A Craig
Journal:  Clin Infect Dis       Date:  1997-02       Impact factor: 9.079

6.  Obesity is a risk factor for peritonitis in the Australian and New Zealand peritoneal dialysis patient populations.

Authors:  Stephen P McDonald; John F Collins; Markus Rumpsfeld; David W Johnson
Journal:  Perit Dial Int       Date:  2004 Jul-Aug       Impact factor: 1.756

Review 7.  The effect of pathophysiology on pharmacokinetics in the critically ill patient--concepts appraised by the example of antimicrobial agents.

Authors:  Stijn I Blot; Federico Pea; Jeffrey Lipman
Journal:  Adv Drug Deliv Rev       Date:  2014-07-15       Impact factor: 15.470

Review 8.  Meropenem: a review of its use in the treatment of serious bacterial infections.

Authors:  Claudine M Baldwin; Katherine A Lyseng-Williamson; Susan J Keam
Journal:  Drugs       Date:  2008       Impact factor: 9.546

9.  Two general methods for population pharmacokinetic modeling: non-parametric adaptive grid and non-parametric Bayesian.

Authors:  Tatiana Tatarinova; Michael Neely; Jay Bartroff; Michael van Guilder; Walter Yamada; David Bayard; Roger Jelliffe; Robert Leary; Alyona Chubatiuk; Alan Schumitzky
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-02-13       Impact factor: 2.745

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Journal:  J Neurosurg       Date:  2003-03       Impact factor: 5.115

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3.  Meropenem Target Attainment and Population Pharmacokinetics in Critically Ill Septic Patients with Preserved or Increased Renal Function.

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Authors:  David Busse; Philipp Simon; Lisa Schmitt; David Petroff; Christoph Dorn; Arne Dietrich; Markus Zeitlinger; Wilhelm Huisinga; Robin Michelet; Hermann Wrigge; Charlotte Kloft
Journal:  Clin Pharmacokinet       Date:  2021-12-11       Impact factor: 5.577

5.  C/MIC > 4: A Potential Instrument to Predict the Efficacy of Meropenem.

Authors:  Yichang Zhao; Chenlin Xiao; Jingjing Hou; Jiamin Wu; Yiwen Xiao; Bikui Zhang; Indy Sandaradura; Hong Luo; Jinhua Li; Miao Yan
Journal:  Antibiotics (Basel)       Date:  2022-05-16

6.  Combination of Pharmacokinetic and Pathogen Susceptibility Information To Optimize Meropenem Treatment of Gram-Negative Infections in Critically Ill Patients.

Authors:  Uwe Liebchen; Ferdinand Weinelt; Jette Jung; Robin Michelet; Christina Scharf; Ines Schroeder; Michael Paal; Michael Zoller; Charlotte Kloft
Journal:  Antimicrob Agents Chemother       Date:  2021-12-06       Impact factor: 5.938

7.  Does Prolonged Infusion Time Really Improve the Efficacy of Meropenem Therapy? A Prospective Study in Critically Ill Patients.

Authors:  Yi-Chang Zhao; Yang Zou; Yi-Wen Xiao; Feng Wang; Bi-Kui Zhang; Da-Xiong Xiang; Feng Yu; Hong Luo; Indy Sandaradura; Miao Yan
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8.  Continuous Infusion of Piperacillin/Tazobactam and Meropenem in ICU Patients Without Renal Dysfunction: Are Patients at Risk of Underexposure?

Authors:  Helena Colom-Codina; Ariadna Padullés-Zamora; Erika Esteve-Pitarch; Víctor Daniel Gumucio-Sanguino; Sara Cobo-Sacristán; Evelyn Shaw; Kristel Maisterra-Santos; Joan Sabater-Riera; Xosé L Pérez-Fernandez; Raül Rigo-Bonnin; Fe Tubau-Quintano; Jordi Carratalà
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2021-06-15       Impact factor: 2.441

9.  Role of renal function in risk assessment of target non-attainment after standard dosing of meropenem in critically ill patients: a prospective observational study.

Authors:  Lisa Ehmann; Michael Zoller; Iris K Minichmayr; Christina Scharf; Barbara Maier; Maximilian V Schmitt; Niklas Hartung; Wilhelm Huisinga; Michael Vogeser; Lorenz Frey; Johannes Zander; Charlotte Kloft
Journal:  Crit Care       Date:  2017-10-21       Impact factor: 9.097

10.  Association Between Estimated Pharmacokinetic/Pharmacodynamic Predictions of Efficacy and Observed Clinical Outcomes in Obese and Nonobese Patients With Enterobacteriaceae Bloodstream Infections.

Authors:  Melissa Santibañez; Kristen Bunnell; Amanda Harrington; Susan Bleasdale; Eric Wenzler
Journal:  Open Forum Infect Dis       Date:  2019-09-19       Impact factor: 3.835

  10 in total

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