Literature DB >> 22037853

Pharmacokinetic-pharmacodynamic model for gentamicin and its adaptive resistance with predictions of dosing schedules in newborn infants.

Ami F Mohamed1, Elisabet I Nielsen, Otto Cars, Lena E Friberg.   

Abstract

Gentamicin is commonly used in the management of neonatal infections. Development of adaptive resistance is typical for aminoglycosides and reduces the antibacterial effect. There is, however, a lack of understanding of how this phenomenon influences the effect of different dosing schedules. The aim was to develop a pharmacokinetic-pharmacodynamic (PKPD) model that describes the time course of the bactericidal activity of gentamicin and its adaptive resistance and to investigate different dosing schedules in preterm and term newborn infants based on the developed model. In vitro time-kill curve experiments were conducted on a strain of Escherichia coli (MIC of 2 mg/liter). The gentamicin exposure was either constant (0.125 to 16 mg/liter) or dynamic (simulated concentration-time profiles in a kinetic system with peak concentrations of 2.0, 3.9, 7.8, and 16 mg/liter given as single doses or as repeated doses every 6, 12, or 24 h). Semimechanistic PKPD models were fitted to the bacterial counts in the NONMEM (nonlinear mixed effects modeling) program. A model with compartments for growing and resting bacteria, with a function allowing the maximal bacterial killing of gentamicin to reduce with exposure, characterized both the fast bactericidal effect and the adaptive resistance. Despite a lower peak concentration, preterm neonates were predicted to have a higher bacterial killing effect than term neonates for the same per-kg dose because of gentamicin's longer half-life. The model supported an extended dosing interval of gentamicin in preterm neonates, and for all neonates, dosing intervals of 36 to 48 h were as effective as a 24-h dosing interval for the same total dose.

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Year:  2011        PMID: 22037853      PMCID: PMC3256057          DOI: 10.1128/AAC.00694-11

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


  40 in total

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Journal:  J Antimicrob Chemother       Date:  1992-04       Impact factor: 5.790

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Journal:  Antimicrob Agents Chemother       Date:  1987-07       Impact factor: 5.191

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Journal:  Aust N Z J Med       Date:  1995-06

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Journal:  Antimicrob Agents Chemother       Date:  1991-01       Impact factor: 5.191

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Journal:  J Infect Dis       Date:  1987-01       Impact factor: 5.226

8.  Evidence that amikacin ototoxicity is related to total perilymph area under the concentration-time curve regardless of concentration.

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Journal:  Antimicrob Agents Chemother       Date:  1991-06       Impact factor: 5.191

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Journal:  Antimicrob Agents Chemother       Date:  1995-03       Impact factor: 5.191

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Authors:  M L Barclay; E J Begg; S T Chambers
Journal:  Antimicrob Agents Chemother       Date:  1992-09       Impact factor: 5.191

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1.  Stochastic process pharmacodynamics: dose timing in neonatal gentamicin therapy as an example.

Authors:  Tomas Radivoyevitch; Nopphon Siranart; Lynn Hlatky; Rainer Sachs
Journal:  AAPS J       Date:  2015-02-07       Impact factor: 4.009

2.  Application of a loading dose of colistin methanesulfonate in critically ill patients: population pharmacokinetics, protein binding, and prediction of bacterial kill.

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Journal:  Antimicrob Agents Chemother       Date:  2012-05-21       Impact factor: 5.191

3.  Two mechanisms of killing of Pseudomonas aeruginosa by tobramycin assessed at multiple inocula via mechanism-based modeling.

Authors:  Jürgen B Bulitta; Neang S Ly; Cornelia B Landersdorfer; Nicholin A Wanigaratne; Tony Velkov; Rajbharan Yadav; Antonio Oliver; Lisandra Martin; Beom Soo Shin; Alan Forrest; Brian T Tsuji
Journal:  Antimicrob Agents Chemother       Date:  2015-02-02       Impact factor: 5.191

4.  Population pharmacokinetic study of gentamicin in a large cohort of premature and term neonates.

Authors:  Aline Fuchs; Monia Guidi; Eric Giannoni; Dominique Werner; Thierry Buclin; Nicolas Widmer; Chantal Csajka
Journal:  Br J Clin Pharmacol       Date:  2014-11       Impact factor: 4.335

5.  Balancing Antibacterial Efficacy and Reduction in Renal Function to Optimise Initial Gentamicin Dosing in Paediatric Oncology Patients.

Authors:  Carolina Consuelo Llanos-Paez; Christine Staatz; Stefanie Hennig
Journal:  AAPS J       Date:  2017-12-04       Impact factor: 4.009

6.  Modeling the Emergence of Antibiotic Resistance in the Environment: an Analytical Solution for the Minimum Selection Concentration.

Authors:  Ben K Greenfield; Shanna Shaked; Carl F Marrs; Patrick Nelson; Ian Raxter; Chuanwu Xi; Thomas E McKone; Olivier Jolliet
Journal:  Antimicrob Agents Chemother       Date:  2018-02-23       Impact factor: 5.191

7.  Conditional probability analysis of multidrug resistance in Gram-negative bacilli isolated from tertiary medical institutions in South Korea during 1999-2009.

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Journal:  J Microbiol       Date:  2016-01-05       Impact factor: 3.422

Review 8.  Dose optimisation of antibiotics in children: application of pharmacokinetics/pharmacodynamics in paediatrics.

Authors:  Kevin J Downes; Andrea Hahn; Jason Wiles; Joshua D Courter; Alexander A Vinks
Journal:  Int J Antimicrob Agents       Date:  2013-12-17       Impact factor: 5.283

9.  Evaluating renal function and age as predictors of amikacin clearance in neonates: model-based analysis and optimal dosing strategies.

Authors:  Sílvia M Illamola; Helena Colom; J G Coen van Hasselt
Journal:  Br J Clin Pharmacol       Date:  2016-06-30       Impact factor: 4.335

10.  Colistin and Polymyxin B Dosage Regimens against Acinetobacter baumannii: Differences in Activity and the Emergence of Resistance.

Authors:  Soon-Ee Cheah; Jian Li; Brian T Tsuji; Alan Forrest; Jürgen B Bulitta; Roger L Nation
Journal:  Antimicrob Agents Chemother       Date:  2016-06-20       Impact factor: 5.191

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