Glomerular filtration rate in children and young adults with haemato-oncological disease and infection is best described by three-compartment iohexol model.
beta-2 microglobulin
creatinine
cystatin C
haemato-oncological disease
population pharmacokinetic model
renal function
Journal
Pediatric blood & cancer
ISSN: 1545-5017
Titre abrégé: Pediatr Blood Cancer
Pays: United States
ID NLM: 101186624
Informations de publication
Date de publication:
01 2022
01 2022
Historique:
revised:
22
07
2021
received:
05
02
2021
accepted:
09
08
2021
pubmed:
3
9
2021
medline:
1
3
2022
entrez:
2
9
2021
Statut:
ppublish
Résumé
Children with cancer and infection may develop glomerular hyperfiltration. With the aim to determine the prevalence of glomerular hyperfiltration in children and young adults with haemato-oncological disease and infection, we developed population pharmacokinetic model of iohexol. We further aimed to assess the accuracy of estimated glomerular filtration rate (eGFR) equations and single- or two-point measured GFR (mGFR) formulas compared with GFR based on iohexol clearance from our population pharmacokinetic model (iGFR). Hospitalised patients (0.5-25 years) with haemato-oncological disease and infection were included if their eGFR was ≥80 ml/min/1.73 m Total of 32 iohexol administrations were performed in 28 patients. Median (range) eGFR was 136 ml/min/1.73 m2 (74-234) and age 15.1 years (0.8-26.0). Three-compartment model with allometric scaling of central, one peripheral compartment and clearance (with power 0.75) to weight fitted the best. Median (range) iGFR was 103 ml/min/1.73 m In children and young adults with haemato-oncological disease and infection, renal function is best described by iohexol clearance from three-compartment pharmacokinetic model, while eGFR equations and single- and two-point mGFR formulas overestimate iGFR.
Sections du résumé
BACKGROUND
Children with cancer and infection may develop glomerular hyperfiltration. With the aim to determine the prevalence of glomerular hyperfiltration in children and young adults with haemato-oncological disease and infection, we developed population pharmacokinetic model of iohexol. We further aimed to assess the accuracy of estimated glomerular filtration rate (eGFR) equations and single- or two-point measured GFR (mGFR) formulas compared with GFR based on iohexol clearance from our population pharmacokinetic model (iGFR).
PROCEDURE
Hospitalised patients (0.5-25 years) with haemato-oncological disease and infection were included if their eGFR was ≥80 ml/min/1.73 m
RESULTS
Total of 32 iohexol administrations were performed in 28 patients. Median (range) eGFR was 136 ml/min/1.73 m2 (74-234) and age 15.1 years (0.8-26.0). Three-compartment model with allometric scaling of central, one peripheral compartment and clearance (with power 0.75) to weight fitted the best. Median (range) iGFR was 103 ml/min/1.73 m
CONCLUSIONS
In children and young adults with haemato-oncological disease and infection, renal function is best described by iohexol clearance from three-compartment pharmacokinetic model, while eGFR equations and single- and two-point mGFR formulas overestimate iGFR.
Substances chimiques
Iohexol
4419T9MX03
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e29305Informations de copyright
© 2021 Wiley Periodicals LLC.
Références
Helal I, Fick-Brosnahan GM, Reed-Gitomer B, Schrier RW. Glomerular hyperfiltration: definitions, mechanisms and clinical implications. Nat Rev Nephrol. 2012;8(5):293-300.
Grönroos MH, Jahnukainen T, Irjala K, et al. Comparison of glomerular function tests in children with cancer. Pediatr Nephrol. 2008;23(5):797-803.
Jeong TD, Cho EJ, Lee W, Chun S, Hong KS, Min WK. Efficient reporting of the estimated glomerular filtration rate without height in pediatric patients with cancer. Clin Chem Lab Med. 2017;55(12):1891-1897.
Hjorth L, Wiebe T, Karpman D. Hyperfiltration evaluated by glomerular filtration rate at diagnosis in children with cancer. Pediatr Blood Cancer. 2011;56(5):762-766.
Kwatra NS, Meany HJ, Ghelani SJ, Zahavi D, Pandya N, Majd M. Glomerular hyperfiltration in children with cancer: prevalence and a hypothesis. Pediatr Radiol. 2017;47(2):221-226.
Van Der Heggen T, Dhont E, Peperstraete H, et al. Augmented renal clearance: a common condition in critically ill children. Pediatr Nephrol. 2019;34(6):1099-1106.
Avedissian SN, Bradley E, Zhang D, et al. Augmented renal clearance using population-based pharmacokinetic modeling in critically ill pediatric patients. Pediatr Crit Care Med. 2017;18(9):e388-e394.
Claus BO, Hoste EA, Colpaert K, Robays H, Decruyenaere J, De Waele JJ. Augmented renal clearance is a common finding with worse clinical outcome in critically ill patients receiving antimicrobial therapy. J Crit Care. 2013;28(5):695-700.
Llanos-Paez CC, Staatz C, Lawson R, Hennig S. Comparison of methods to estimate glomerular filtration rate in paediatric oncology patients. J Paediatr Child Health. 2018;54(2):141-147.
Andersen TB, Eskild-Jensen A, Frøkiaer J, Brøchner-Mortensen J. Measuring glomerular filtration rate in children; can cystatin C replace established methods? A review. Pediatr Nephrol. 2009;24(5):929-941.
Blufpand HN, Tromp J, Abbink FC, et al. Cystatin C more accurately detects mildly impaired renal function than creatinine in children receiving treatment for malignancy. Pediatr Blood Cancer. 2011;57(2):262-267.
Argyropoulos CP, Chen SS, Ng YH, et al. Rediscovering beta-2 microglobulin as a biomarker across the spectrum of kidney diseases. Front Med (Lausanne). 2017;4:73.
Gotoh Y, Uemura O, Ishikura K, et al. Validation of estimated glomerular filtration rate equations for Japanese children. Clin Exp Nephrol. 2018;22(4):931-937.
Salgado JV, Souza FL, Salgado BJ. How to understand the association between cystatin C levels and cardiovascular disease: Imbalance, counterbalance, or consequence? J Cardiol. 2013;62(6):331-335.
Delanaye P, Melsom T, Ebert N, et al. Iohexol plasma clearance for measuring glomerular filtration rate in clinical practice and research: a review. Part 2: Why to measure glomerular filtration rate with iohexol? Clin Kidney J. 2016;9(5):700-704.
Schwartz GJ, Work DF. Measurement and estimation of GFR in children and adolescents. Clin J Am Soc Nephrol. 2009;4(11):1832-1843.
Taubert M, Ebert N, Martus P, van der Giet M, Fuhr U, Schaeffner E. Using a three-compartment model improves the estimation of iohexol clearance to assess glomerular filtration rate. Sci Rep. 2018;8(1):17723.
Salmon Gandonnière C, Helms J, Le Tilly O, et al. Glomerular hyper- and hypofiltration during acute circulatory failure: iohexol-based gold-standard descriptive study. Crit Care Med. 2019;47(8):e623-e629.
Edelson J, Shaw D, Palace G. Pharmacokinetics of iohexol, a new nonionic radiocontrast agent, in humans. J Pharm Sci. 1984;73(7):993-995.
Mosteller RD. Simplified calculation of body-surface area. N Engl J Med. 1987;317(17):1098.
WHO Multicentre Growth Reference Study Group. WHO Child Growth Standards based on length/height, weight and age. Acta Paediatr Suppl. 2006;450:76-85.
de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85:660-667.
Schwartz GJ, Muñoz A, Schneider MF, et al. New equations to estimate GFR in children with CKD. J Am Soc Nephrol. 2009;20(3):629-637.
Hoste L, Dubourg L, Selistre L, et al. A new equation to estimate the glomerular filtration rate in children, adolescents and young adults. Nephrol Dial Transplant. 2014;29(5):1082-1091.
Björk J, Grubb A, Sterner G, Nyman U. Revised equations for estimating glomerular filtration rate based on the Lund-Malmö Study cohort. Scand J Clin Lab Invest. 2011;71(3):232-239.
Gao A, Cachat F, Faouzi M, et al. Comparison of the glomerular filtration rate in children by the new revised Schwartz formula and a new generalized formula. Kidney Int. 2013;83(3):524-530.
Millisor VE, Roberts JK, Sun Y, et al. Derivation of new equations to estimate glomerular filtration rate in pediatric oncology patients. Pediatr Nephrol. 2017;32(9):1575-1584.
Brandt JR, Wong C, Jones DR, et al. Glomerular filtration rate in children with solid tumors: normative values and a new method for estimation. Pediatr Hematol Oncol. 2003;20(4):309-318.
Cole M, Price L, Parry A, et al. Estimation of glomerular filtration rate in paediatric cancer patients using 51CR-EDTA population pharmacokinetics. Br J Cancer. 2004;90(1):60-64.
Levey AS, Stevens LA, Schmid CH, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9):604-612.
Levey AS, Coresh J, Greene T, et al. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med. 2006;145(4):247-254.
Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16(1):31-41.
Schwartz GJ, Schneider MF, Maier PS, et al. Improved equations estimating GFR in children with chronic kidney disease using an immunonephelometric determination of cystatin C. Kidney Int. 2012;82(4):445-453.
Mueller L, Pruemper C. Performance in measurement of serum cystatin C by laboratories participating in the College of American Pathologists 2014 CYS Survey. Arch Pathol Lab Med. 2016;140(3):207.
Pottel H, Delanaye P, Schaeffner E, et al. Estimating glomerular filtration rate for the full age spectrum from serum creatinine and cystatin C. Nephrol Dial Transplant. 2017;32(3):497-507.
Grubb A, Horio M, Hansson LO, et al. Generation of a new cystatin C-based estimating equation for glomerular filtration rate by use of 7 assays standardized to the international calibrator. Clin Chem. 2014;60(7):974-986.
Berg UB, Nyman U, Bäck R, et al. New standardized cystatin C and creatinine GFR equations in children validated with inulin clearance. Pediatr Nephrol. 2015;30(8):1317-1326.
Inker LA, Schmid CH, Tighiouart H, et al. Estimating glomerular filtration rate from serum creatinine and cystatin C. N Engl J Med. 2012;367(1):20-29.
Ikezumi Y, Uemura O, Nagai T, et al. Beta-2 microglobulin-based equation for estimating glomerular filtration rates in Japanese children and adolescents. Clin Exp Nephrol. 2015;19(3):450-457.
Inker LA, Tighiouart H, Coresh J, et al. GFR estimation using β-trace protein and β2-microglobulin in CKD. Am J Kidney Dis. 2016;67(1):40-48.
Tøndel C, Bolann B, Salvador CL, et al. Iohexol plasma clearance in children: validation of multiple formulas and two-point sampling times. Pediatr Nephrol. 2017;32(2):311-320.
Piepsz A, Tondeur M, Ham H. Revisiting normal (51)Cr-ethylenediaminetetraacetic acid clearance values in children. Eur J Nucl Med Mol Imaging. 2006;33(12):1477-1482.
Bergstrand M, Karlsson MO. Handling data below the limit of quantification in mixed effect models. AAPS J. 2009;11(2):371-380.
Krouwer JS. Why Bland-Altman plots should use X, not (Y+X)/2 when X is a reference method. Stat Med. 2008;27(5):778-780.
Riff C, Besombes J, Gatault P, et al. Assessment of the glomerular filtration rate (GFR) in kidney transplant recipients using Bayesian estimation of the iohexol clearance. Clin Chem Lab Med. 2020;58(4):577-587.
Åsberg A, Bjerre A, Almaas R, et al. Measured GFR by utilizing population pharmacokinetic methods to determine iohexol clearance. Kidney Int Rep. 2020;5(2):189-198.
Gaspari F, Perico N, Ruggenenti P, et al. Plasma clearance of nonradioactive iohexol as a measure of glomerular filtration rate. J Am Soc Nephrol. 1995;6(2):257-263.
Leion F, Hegbrant J, Den Bakker E, et al. Estimating glomerular filtration rate (GFR) in children. The average between a cystatin C- and a creatinine-based equation improves estimation of GFR in both children and adults and enables diagnosing Shrunken Pore Syndrome. Scand J Clin Lab Invest. 2017;77(5):338-344.
Björk J, Nyman U, Berg U, et al. Validation of standardized creatinine and cystatin C GFR estimating equations in a large multicentre European cohort of children. Pediatr Nephrol. 2019;34(6):1087-1098.
Pottel H, Hoste L, Dubourg L, et al. An estimated glomerular filtration rate equation for the full age spectrum. Nephrol Dial Transplant. 2016;31(5):798-806.
Tøndel C, Salvador CL, Hufthammer KO, et al. Iohexol plasma clearance in children: validation of multiple formulas and single-point sampling times. Pediatr Nephrol. 2018;33(4):683-696.
Bernhardt MB, Moffett BS, Johnson M, Tam VH, Thompson P, Garey KW. Agreement among measurements and estimations of glomerular filtration in children with cancer. Pediatr Blood Cancer. 2015;62(1):80-84.
Kang D, Schwartz JB, Verotta D. Sample size computations for PK/PD population models. J Pharmacokinet Pharmacodyn. 2005;32(5-6):685-701.