Literature DB >> 12856383

Population pharmacokinetics of ciprofloxacin in pediatric patients.

Prabhu Rajagopalan1, Marc R Gastonguay.   

Abstract

The objective of this study was to characterize ciprofloxacin population pharmacokinetics in pediatric patients. A total of 150 pediatric patients (including 28 patients with cystic fibrosis [CF], ages 0.27-16.9 years) received ciprofloxacin by the oral and/or intravenous routes. Population pharmacokinetic analyses were performed with NONMEN software. Exponential error models were used to describe the interindividual variance in pharmacokinetic parameters, and the residual error model included both proportional and additive components. Based on principles of allometry, the patient's body weight was used as a covariate, along with appropriate allometric exponents, in the construction of the base model. Model building was accomplished by a stepwise forward inclusion procedure, and the final model was evaluated by multiple techniques, including bootstrap, leverage analysis, and cross-validation. With body weight included in the model (two compartments with first-order absorption), ciprofloxacin clearance was influenced by age, and the absorption rate constant was altered in CF patients. The final model is summarized as follows: CL(L/h) = 30.3 x (WT/70)0.75 x (1 + 0.045 [AGE-2.5]), VC(L) = 56.7 x (WT/70)1.0, VP(L) = 89.8 x (WT/70)1.0, Q(L/h) = 37.5 x (WT/70)0.75, Ka (1/h) = 1.27 x (1 + [-0.611 x CF]), absorption lag time = 0.35 hours, and bioavailability fraction = 61.1%, where WT and AGE are the patient's body weight (kg) and age (years), respectively, and the variable CF equals 1 for CF patients and 0 for non-CF patients. The interpatient variability in pharmacokinetic parameters (percentage coefficient of variation [%CV]) ranged from 22.5% to 49.8%. The residual variabilities (%CV) for the oral and intravenous data were 40% and 27%, respectively. The shared additive residual variance component was small (SD = 0.04 mg/L). Model evaluation by the different methods indicated that the final model was robust and parameter estimates were precise. A small difference (< 6%) was noted when the patient's age was not used in dose calculation. Therefore, in routine clinical use, for pediatric patients older than 3 months, ciprofloxacin dose may be calculated solely based on body weight.

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Year:  2003        PMID: 12856383

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  21 in total

Review 1.  Population pharmacokinetic studies in pediatrics: issues in design and analysis.

Authors:  Bernd Meibohm; Stephanie Läer; John C Panetta; Jeffrey S Barrett
Journal:  AAPS J       Date:  2005-10-05       Impact factor: 4.009

Review 2.  Recommended reading in population pharmacokinetic pharmacodynamics.

Authors:  Peter L Bonate
Journal:  AAPS J       Date:  2005-10-05       Impact factor: 4.009

Review 3.  Population clinical pharmacology of children: modelling covariate effects.

Authors:  Brian J Anderson; Karel Allegaert; Nicholas H G Holford
Journal:  Eur J Pediatr       Date:  2006-06-29       Impact factor: 3.183

Review 4.  Are population pharmacokinetic and/or pharmacodynamic models adequately evaluated? A survey of the literature from 2002 to 2004.

Authors:  Karl Brendel; Céline Dartois; Emmanuelle Comets; Annabelle Lemenuel-Diot; Christian Laveille; Brigitte Tranchand; Pascal Girard; Céline M Laffont; France Mentré
Journal:  Clin Pharmacokinet       Date:  2007       Impact factor: 6.447

Review 5.  Pharmacokinetic and Pharmacodynamic Optimization of Antibiotic Therapy in Cystic Fibrosis Patients: Current Evidences, Gaps in Knowledge and Future Directions.

Authors:  Charlotte Roy; Manon Launay; Sophie Magréault; Isabelle Sermet-Gaudelus; Vincent Jullien
Journal:  Clin Pharmacokinet       Date:  2021-01-24       Impact factor: 6.447

6.  A mechanistic approach for the scaling of clearance in children.

Authors:  Andrea N Edginton; Walter Schmitt; Barbara Voith; Stefan Willmann
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

7.  Population pharmacokinetics and dose simulation of carvedilol in paediatric patients with congestive heart failure.

Authors:  Stefanie Albers; Bernd Meibohm; Thomas S Mir; Stephanie Läer
Journal:  Br J Clin Pharmacol       Date:  2007-11-08       Impact factor: 4.335

8.  Cross-validation for nonlinear mixed effects models.

Authors:  Emily Colby; Eric Bair
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-03-27       Impact factor: 2.745

9.  Population pharmacokinetics of piperacillin/tazobactam in neonates and young infants.

Authors:  Zhiping Li; Yewei Chen; Qin Li; Di Cao; Wenjing Shi; Yun Cao; Dan Wu; Yiqing Zhu; Yi Wang; Chao Chen
Journal:  Eur J Clin Pharmacol       Date:  2013-01-26       Impact factor: 2.953

10.  The allometric exponent for scaling clearance varies with age: a study on seven propofol datasets ranging from preterm neonates to adults.

Authors:  Chenguang Wang; Karel Allegaert; Mariska Y M Peeters; Dick Tibboel; Meindert Danhof; Catherijne A J Knibbe
Journal:  Br J Clin Pharmacol       Date:  2014-01       Impact factor: 4.335

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