Literature DB >> 14715051

Recombinant human erythropoietin for the treatment of renal anaemia in children: no justification for bodyweight-adjusted dosage.

Ruediger E Port1, Daniela Kiepe, Michael Van Guilder, Roger W Jelliffe, Otto Mehls.   

Abstract

BACKGROUND: Drug doses for children are usually calculated by reducing adult doses in proportion to bodyweight. The clinically effective dose of recombinant human erythropoietin (epoetin) in children, however, seems to be higher than predicted by this calculation.
OBJECTIVE: To determine the quantitative relationship between epoetin dose, bodyweight and response in children with end-stage renal disease. PATIENTS AND METHODS: The time-course of haemoglobin in 52 children during long-term treatment with epoetin beta was analysed by population pharmacodynamic modelling. Patients were 5-20 years old and weighed 16-53kg at the beginning of treatment. Epoetin beta was given intravenously three times per week after haemodialysis. Doses ranged from 110 to 7500IU (3-205 IU/kg). Haemoglobin versus time was described by assuming that the haemoglobin level rises after each dose due to the formation of new red blood cells, which then survive according to a logistic function. The initial rise after each dose was modelled in terms of absolute dose (not dose/kg). A parametric analysis was done with NONMEM, followed by a nonparametric analysis with NPAG.
RESULTS: Dose-response was best described by a sigmoid maximum-effect (E(max)) model with median E(max) = 0.29 g/dL, median 50% effective dose (ED(50)) = 2400IU and shape parameter gamma = 2. The estimated median survival time of the epoetin-induced red blood cells, tau, was 76 days. Neither of the dose-response parameters E(max) and ED(50) showed dependence on bodyweight. The median haemoglobin response to a standard dose, 0.042 g/dL for 1000IU, was similar to that reported for adults with intravenous administration.
CONCLUSIONS: Doses for children in this age range should be specified as absolute amounts rather than amounts per unit bodyweight. Initial doses can be calculated individually, based on haemoglobin level before treatment, the desired haemoglobin at steady state and the median population parameters E(max), ED(50) and tau.

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Year:  2004        PMID: 14715051     DOI: 10.2165/00003088-200443010-00004

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


  27 in total

1.  Population pharmacokinetics/pharmacodynamics modeling: parametric and nonparametric methods.

Authors:  R Jelliffe; A Schumitzky; M Van Guilder
Journal:  Ther Drug Monit       Date:  2000-06       Impact factor: 3.681

Review 2.  Erythropoietin in the neonate.

Authors:  S E Juul
Journal:  Curr Probl Pediatr       Date:  1999 May-Jun

Review 3.  Erythropoietin treatment in children with renal failure.

Authors:  R Van Damme-Lombaerts; J Herman
Journal:  Pediatr Nephrol       Date:  1999-02       Impact factor: 3.714

4.  Estimation of population characteristics of pharmacokinetic parameters from routine clinical data.

Authors:  L B Sheiner; B Rosenberg; V V Marathe
Journal:  J Pharmacokinet Biopharm       Date:  1977-10

5.  Receptor-based model accounts for phlebotomy-induced changes in erythropoietin pharmacokinetics.

Authors:  S H Chapel; P Veng-Pedersen; R L Schmidt; J A Widness
Journal:  Exp Hematol       Date:  2001-04       Impact factor: 3.084

6.  In vivo 125I-erythropoietin pharmacokinetics are unchanged after anesthesia, nephrectomy and hepatectomy in sheep.

Authors:  J A Widness; P Veng-Pedersen; R L Schmidt; L S Lowe; J A Kisthard; C Peters
Journal:  J Pharmacol Exp Ther       Date:  1996-12       Impact factor: 4.030

Review 7.  Nonerythropoietic roles of erythropoietin in the fetus and neonate.

Authors:  S E Juul
Journal:  Clin Perinatol       Date:  2000-09       Impact factor: 3.430

8.  Effect of recombinant human erythropoietin treatment on renal anemia and body growth of children with end-stage renal disease. The European Multicenter Study Group.

Authors:  P Scigalla
Journal:  Contrib Nephrol       Date:  1991       Impact factor: 1.580

9.  Drug delivery optimization through Bayesian networks: an application to erythropoietin therapy in uremic anemia.

Authors:  R Bellazzi
Journal:  Comput Biomed Res       Date:  1993-06

10.  A study of recombinant human erythropoietin in the treatment of anaemia of chronic renal failure in children on haemodialysis.

Authors:  R Van Damme-Lombaerts; M Broyer; J Businger; C Baldauf; H Stocker
Journal:  Pediatr Nephrol       Date:  1994-06       Impact factor: 3.714

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  10 in total

1.  Analyses of age, gender and other risk factors of erythropoietin resistance in pediatric and adult dialysis cohorts.

Authors:  Oluwatoyin Fatai Bamgbola; Fredrick J Kaskel; Maria Coco
Journal:  Pediatr Nephrol       Date:  2008-09-18       Impact factor: 3.714

Review 2.  Drug dosage in children with reduced renal function.

Authors:  Markus Daschner
Journal:  Pediatr Nephrol       Date:  2005-08-23       Impact factor: 3.714

Review 3.  Management of anemia with erythropoietic-stimulating agents in children with chronic kidney disease.

Authors:  Bradley A Warady; Douglas M Silverstein
Journal:  Pediatr Nephrol       Date:  2013-09-05       Impact factor: 3.714

Review 4.  Anemia in chronic kidney disease.

Authors:  Meredith A Atkinson; Bradley A Warady
Journal:  Pediatr Nephrol       Date:  2017-04-15       Impact factor: 3.714

Review 5.  Anemia in children with chronic kidney disease.

Authors:  Meredith A Atkinson; Susan L Furth
Journal:  Nat Rev Nephrol       Date:  2011-09-06       Impact factor: 28.314

6.  Erythropoietin dosing in children with chronic kidney disease: based on body size or on hemoglobin deficit?

Authors:  Ruediger E Port; Otto Mehls
Journal:  Pediatr Nephrol       Date:  2008-08-12       Impact factor: 3.714

7.  Hemoglobin target in chronic kidney disease: a pediatric perspective.

Authors:  Sai Ram Keithi-Reddy; Ajay K Singh
Journal:  Pediatr Nephrol       Date:  2008-07-05       Impact factor: 3.714

Review 8.  Anemia in children with chronic kidney disease.

Authors:  Susan M Koshy; Denis F Geary
Journal:  Pediatr Nephrol       Date:  2007-01-24       Impact factor: 3.714

9.  Would artificial neural networks implemented in clinical wards help nephrologists in predicting epoetin responsiveness?

Authors:  Luca Gabutti; Nathalie Lötscher; Josephine Bianda; Claudio Marone; Giorgio Mombelli; Michel Burnier
Journal:  BMC Nephrol       Date:  2006-09-18       Impact factor: 2.388

10.  Chronic kidney disease in children.

Authors:  Francesca Becherucci; Rosa Maria Roperto; Marco Materassi; Paola Romagnani
Journal:  Clin Kidney J       Date:  2016-06-05
  10 in total

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