Literature DB >> 12432431

Estimation of glomerular filtration rate in children.

Frédéric Léger1, François Bouissou, Yvon Coulais, Mathieu Tafani, Etienne Chatelut.   

Abstract

The aim of this study was to develop a method to predict the glomerular filtration rate (GFR) in children by using the population pharmacokinetic approach. This powerful approach is widely used for drug development in order to study relationships between patients' characteristics (demographic, morphological, biological covariates) and pharmacokinetic parameters. For the first time, (51)Cr-EDTA plasma concentrations from 64 children (development data set) were analyzed using the Non-linear Mixed Effects Model (NONMEM) program to determine the most appropriate equation to relate (51)Cr-EDTA clearance (as a measurement of GFR) and patient characteristics. The most predictive equation was based on body weight, square height, and plasma creatinine (PCr, determined by the Jaffé method). This equation was then validated using the data from a further 33 patients. This equation produced estimates of GFR that were less biased and more precise than those obtained using the widely used Schwartz formula. The coefficient of correlation between estimated and actual GFR was 0.83, and the 10th to 90th percentiles for percentage errors were -20% to +30%. Finally, analysis of the whole data set (97 patients) led to an equation (i.e., GFR (ml/min)=[56.7 x Body weight (kg)+0.142 x Length(2)(cm)]/PCr ( microM)) very similar to that obtained from the development data set. This equation would be useful for estimating GFR in children when isotopic determination of the (51)Cr-EDTA clearance cannot be performed.

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Year:  2002        PMID: 12432431     DOI: 10.1007/s00467-002-0964-5

Source DB:  PubMed          Journal:  Pediatr Nephrol        ISSN: 0931-041X            Impact factor:   3.714


  31 in total

1.  Comparison of two formulae for estimation of glomerular filtration rate in children.

Authors:  Stanley Hellerstein; Max Berenbom; Sylvia DiMaggio; Pat Erwin; Stephen D Simon; Nancy Wilson
Journal:  Pediatr Nephrol       Date:  2004-04-08       Impact factor: 3.714

2.  Updated height- and creatinine-based equation and its validation for estimation of glomerular filtration rate in children from developing countries.

Authors:  Pankaj Hari; Bivas Biswas; Ravindra Pandey; Mani Kalaivani; Rakesh Kumar; Arvind Bagga
Journal:  Clin Exp Nephrol       Date:  2012-04-21       Impact factor: 2.801

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.  Diuretics in pediatrics : current knowledge and future prospects.

Authors:  Maria M J van der Vorst; Joana E Kist; Albert J van der Heijden; Jacobus Burggraaf
Journal:  Paediatr Drugs       Date:  2006       Impact factor: 3.022

5.  GFR is better estimated by considering both serum cystatin C and creatinine levels.

Authors:  Yann Bouvet; François Bouissou; Yvon Coulais; Sophie Séronie-Vivien; Mathieu Tafani; Stéphane Decramer; Etienne Chatelut
Journal:  Pediatr Nephrol       Date:  2006-06-22       Impact factor: 3.714

6.  On the relationship between glomerular filtration rate and serum creatinine in children.

Authors:  Hans Pottel; Felix M Mottaghy; Zahur Zaman; Frank Martens
Journal:  Pediatr Nephrol       Date:  2009-12-15       Impact factor: 3.714

Review 7.  Glomerular Filtration Rate Estimation Formulas for Pediatric and Neonatal Use.

Authors:  Edit Muhari-Stark; Gilbert J Burckart
Journal:  J Pediatr Pharmacol Ther       Date:  2018 Nov-Dec

8.  Pharmacokinetics and drug dosing in obese children.

Authors:  Jennifer G Kendrick; Roxane R Carr; Mary H H Ensom
Journal:  J Pediatr Pharmacol Ther       Date:  2010-04

9.  Evaluation of serum creatinine concentration-based glomerular filtration rate equations in pediatric patients with chronic kidney disease.

Authors:  Carlton K K Lee; Rita D Swinford; Ruby D Cerda; Ronald J Portman; Wenke Hwang; Susan L Furth
Journal:  Pharmacotherapy       Date:  2012-05-24       Impact factor: 4.705

10.  A Population Pharmacokinetic Model for 51Cr EDTA to Estimate Renal Function.

Authors:  Isabelle H S Kuan; Stephen B Duffull; Tracey L Putt; John B W Schollum; Robert J Walker; Daniel F B Wright
Journal:  Clin Pharmacokinet       Date:  2017-06       Impact factor: 6.447

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