Literature DB >> 25117184

Vancomycin pharmacokinetic and pharmacodynamic models for critically ill patients with post-sternotomy mediastinitis.

Olivier Mangin1, Saïk Urien, Jean-Luc Mainardi, Jean-Yves Fagon, Christophe Faisy.   

Abstract

BACKGROUND AND
OBJECTIVE: Vancomycin is commonly used to treat serious methicillin-resistant staphylococcal infections, especially post-sternotomy mediastinitis (PSM). However, information on pharmacokinetics and pharmacodynamics in intensive care unit (ICU) patients remains scarce. We conducted vancomycin pharmacokinetic-pharmacodynamic modeling for ICU patients with PSM.
METHODS: This cohort study included 30 consecutive patients who received multiple vancomycin doses during primary closed drainage of PSM with Redon catheters, targeting serum drug trough concentrations of 25-35 mg/L, and generating 359 serum vancomycin concentration-time values for analysis. Population pharmacodynamics served to describe the withdrawal of Redon catheters, i.e., the probability of in-ICU cure.
RESULTS: Vancomycin pharmacokinetics corresponded to a two-compartment open model with first-order elimination kinetics. Mean [between-subject variability] population estimates were 1.91 (men)/1.25 (women) [0.28] L/h for vancomycin elimination, with intercompartmental clearance of 5.71 [1.01] L/h, and respective central and peripheral distribution volumes of 21.9 and 68 [0.53] L. Vancomycin clearance increased with body weight and declined with severity at ICU admission and serum creatinine (SCr), thereby allowing the prediction of the vancomycin plateau. Intercompartmental clearance decreased with diabetes mellitus (-70 %). The probability of withdrawing all Redon catheters (patient cured) was dependent only on the area under the concentration-time curve to minimum inhibitory concentration (AUC/MIC) exposures ratio in plasma. Neither preoperative factors, antistaphylococcal co-treatments, nor the initial number of Redon catheters significantly influenced this probability. The AUC/MIC exposures ratio had no significant effect on SCr levels.
CONCLUSION: These modeling analysis results identified five clinically relevant covariates that influenced vancomycin pharmacokinetics and might achieve better individualization of vancomycin dosing for methicillin-resistant staphylococcal PSM in ICU patients.

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Year:  2014        PMID: 25117184     DOI: 10.1007/s40262-014-0164-z

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  37 in total

1.  Increasing vancomycin serum trough concentrations and incidence of nephrotoxicity.

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2.  Mediastinal infection after cardiac operation. A simple closed technique.

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3.  Staphylococcal post-sternotomy mediastinitis: five year audit.

Authors:  Arlo Upton; Sally A Roberts; Paget Milsom; Arthur J Morris
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4.  Unbound fraction of vancomycin in intensive care unit patients.

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1.  Plasma and cerebrospinal fluid population pharmacokinetics of vancomycin in postoperative neurosurgical patients after combined intravenous and intraventricular administration.

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2.  External Evaluation of Population Pharmacokinetic Models of Vancomycin in Large Cohorts of Intensive Care Unit Patients.

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3.  Adjunctive Hyperbaric Oxygen Therapy or Alone Antibiotherapy? Methicillin Resistant Staphylococcus aureus Mediastinitis in a Rat Model.

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Review 4.  An Update on Population Pharmacokinetic Analyses of Vancomycin, Part I: In Adults.

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6.  The pharmacokinetics of vancomycin during the initial loading dose in patients with septic shock.

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7.  Using a Vancomycin PBPK Model in Special Populations to Elucidate Case-Based Clinical PK Observations.

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10.  Why we should sample sparsely and aim for a higher target: Lessons from model-based therapeutic drug monitoring of vancomycin in intensive care patients.

Authors:  Tingjie Guo; Reinier M van Hest; Lucas M Fleuren; Luca F Roggeveen; Rob J Bosman; Peter H J van der Voort; Armand R J Girbes; Ron A A Mathot; Johan G C van Hasselt; Paul W G Elbers
Journal:  Br J Clin Pharmacol       Date:  2020-08-17       Impact factor: 3.716

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