Iohexol plasma clearance in children: validation of multiple formulas and single-point sampling times

Camilla Tøndel, Cathrin Lytomt Salvador, Karl Ove Hufthammer, Bjørn Bolann, Damien Brackman, Anna Bjerre, Einar Svarstad, Atle Brun, Camilla Tøndel, Cathrin Lytomt Salvador, Karl Ove Hufthammer, Bjørn Bolann, Damien Brackman, Anna Bjerre, Einar Svarstad, Atle Brun

Abstract

Background: The non-ionic agent iohexol is increasingly used as the marker of choice for glomerular filtration rate (GFR) measurement. Estimates of GFR in children have low accuracy and limiting the number of blood-draws in this patient population is especially relevant. We have performed a study to evaluate different formulas for calculating measured GFR based on plasma iohexol clearance with blood sampling at only one time point (GFR1p) and to determine the optimal sampling time point.

Methods: Ninety-six children with chronic kidney disease (CKD) stage 1-5 (median age 9.2 years; range 3 months to 17.5 years) were examined in a cross-sectional study using iohexol clearance and blood sampling at seven time points within 5 h (GFR7p) as the reference method. Median GFR7p was 66 (range 6-153) mL/min/1.73 m2. The performances of six different single time-point formulas (Fleming, Ham and Piepsz, Groth and Aasted, Stake, Jacobsson- and Jacobsson-modified) were validated against the reference. The two-point GFR (GFR2p) was calculated according to the Jødal and Brøchner-Mortensen formula.

Results: The GFR1p calculated according to Fleming with sampling at 3 h (GFR1p3h-Fleming) had the best overall performance, with 82% of measures within 10% of the reference value (P10). In children with a GFR ≥ 30 mL/min/1.73 m2 (n = 78), the GFR1p3h-Fleming had a P10 of 92.3%, which is not significantly different (p = 0.29) from that of GFR2p (P10 = 96.2%). Considerable differences within and between the different formulas were found for different CKD stages and different time points for blood sampling.

Conclusions: For determination of mGFR in children with CKD and an assumed GFR of ≥ 30 mL/min/1.73 m2 we recommend GFR1p3h-Fleming as the preferred single-point method as an alternative to GFR2p. For children with a GFR < 30 mL/min/1.73 m2, we recommend the slope-GFR with at least two blood samples.

Clinical trial registration: ClinicalTrials.gov , Identifier NCT01092260, https://ichgcp.net/clinical-trials-registry/NCT01092260?term=tondel&rank=2.

Keywords: Children; Chronic kidney disease; Glomerular filtration rate; Renal function.

Conflict of interest statement

Financial disclosure

The authors have no financial relationships relevant to this article to disclose.

Approval

The study was approved by the Regional Ethics Committee of Western Norway and an informed consent form was signed by all patients and/or their designees. The study was performed in accordance with the Declaration of Helsinki.

Conflict of interests

The authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Plot of estimation error versus the estimation method for glomerular filtration rate (GFR) calculated by six single-sample formulas [12, 13, 17, 20, 22, 26], stratified by sampling time point (n = 96 children). The y-axis shows the difference between the single-point GFR and a reference GFR based on seven sampling time points. Each point corresponds to a combination of patient, estimation method and sample time. The solid horizontal line is the bias, i.e. the mean difference between the single-point GFR estimate and the reference GFR. The dashed lines are limits of agreement, i.e. bias ± two standard deviations of the differences. The figure can be used to compare different methods within each sampling time point
Fig. 2
Fig. 2
Plot of estimation error versus time point for glomerular filtration rate (GFR) calculated at five time points, stratified by estimation method (n = 96 children). The y-axis shows the difference between the single-point GFR [12, 13, 17, 20, 22, 26] and a reference GFR based on seven sampling time points. Each point corresponds to a combination of patient, estimation method and sample time. The solid horizontal line is the bias, i.e. the mean difference between the single-point GFR and the reference GFR. The dashed lines are limits of agreement, i.e. bias ± two standard deviations of the differences. For each estimation method, the figure can be used to compare the performance of the single-point GFR estimates at different sampling time-points
Fig. 3
Fig. 3
Plot of estimation error versus reference glomerular filtration rate (GFR) for GFR calculated by six single-sample formulas [12, 13, 17, 20, 22, 26] and at five sampling time points (n = 96 children). The y-axis shows the difference between the single-point GFR estimate and a reference GFR based on seven sampling time points. The x-axis shows the reference GFR. Each point corresponds to a combination of patient, determination method and sample time. The solid horizontal line is the bias, i.e. the mean difference between the single-point GFR and the reference GFR. The dashed lines are limits of agreement, i.e. bias ± two standard deviations of the differences. Large determination errors, i.e. errors outside the displayed range, are indicated by arrows. The figure can be used to examine patterns in how the estimation errors of the different estimation methods vary with GFR for each method and sampling time
Fig. 4
Fig. 4
Percentage plot showing the determination accuracy of six single-sample determination methods [12, 13, 17, 20, 22, 26] at five sampling time points (n = 96 patients/children). Each symbol, labeled Px (P5, P10, P15 and P20), shows the calculated proportion of single-sample glomerular filtration rate (GFR) within x% of the reference method. The horizontal lines show the corresponding 95% confidence intervals

References

    1. Schwartz GJ, Munoz A, Schneider MF, Mak RH, Kaskel F, Warady BA, Furth SL. New equations to estimate GFR in children with CKD. J Am Soc Nephrol. 2009;20:629–637. doi: 10.1681/ASN.2008030287.
    1. Krutzen E, Back SE, Nilsson-Ehle I, Nilsson-Ehle P. Plasma clearance of a new contrast agent, iohexol: a method for the assessment of glomerular filtration rate. J Lab Clin Med. 1984;104:955–961.
    1. Schwartz GJ, Furth S, Cole SR, Warady B, Munoz A. Glomerular filtration rate via plasma iohexol disappearance: pilot study for chronic kidney disease in children. Kidney Int. 2006;69:2070–2077. doi: 10.1038/sj.ki.5000385.
    1. Schwartz GJ, Abraham AG, Furth SL, Warady BA, Munoz A. Optimizing iohexol plasma disappearance curves to measure the glomerular filtration rate in children with chronic kidney disease. Kidney Int. 2010;77:65–71. doi: 10.1038/ki.2009.398.
    1. Brown SC, O’Reilly PH. Iohexol clearance for the determination of glomerular filtration rate in clinical practice: evidence for a new gold standard. J Urol. 1991;146:675–679. doi: 10.1016/S0022-5347(17)37891-6.
    1. Gaspari F, Perico N, Ruggenenti P, Mosconi L, Amuchastegui CS, Guerini E, Daina E, Remuzzi G. Plasma clearance of nonradioactive iohexol as a measure of glomerular filtration rate. J Am Soc Nephrol. 1995;6:257–263.
    1. Lindblad HG, Berg UB. Comparative evaluation of iohexol and inulin clearance for glomerular filtration rate determinations. Acta Paediatr. 1994;83:418–422. doi: 10.1111/j.1651-2227.1994.tb18133.x.
    1. Brøchner-Mortensen J. A simple method for the determination of glomerular filtration rate. Scand J Clin Lab Invest. 1972;30:271–274. doi: 10.3109/00365517209084290.
    1. Brøchner-Mortensen J, Haahr J, Christoffersen J. A simple method for accurate assessment of the glomerular filtration rate in children. Scand J Clin Lab Invest. 1974;33:140–143. doi: 10.3109/00365517409082481.
    1. Fleming JS, Wilkinson J, Oliver RM, Ackery DM, Blake GM, Waller DG. Comparison of radionuclide estimation of glomerular filtration rate using technetium 99m diethylenetriaminepentaacetic acid and chromium 51 ethylenediaminetetraacetic acid. Eur J Nucl Med. 1991;18:391–395. doi: 10.1007/BF02258429.
    1. Fleming JS, Zivanovic MA, Blake GM, Burniston M, Cosgriff PS. Guidelines for the measurement of glomerular filtration rate using plasma sampling. Nucl Med Commun. 2004;25:759–769. doi: 10.1097/01.mnm.0000136715.71820.4a.
    1. Jacobsson L. A method for the calculation of renal clearance based on a single plasma sample. Clin Physiol. 1983;3:297–305. doi: 10.1111/j.1475-097X.1983.tb00712.x.
    1. Stake G, Monclair T. A single plasma sample method for estimation of the glomerular filtration rate in infants and children using iohexol, I: establishment of a body weight-related formula for the distribution volume of iohexol. Scand J Clin Lab Invest. 1991;51:335–342. doi: 10.1080/00365519109091624.
    1. Gaspari F, Guerini E, Perico N, Mosconi L, Ruggenenti P, Remuzzi G. Glomerular filtration rate determined from a single plasma sample after intravenous iohexol injection: is it reliable? J Am Soc Nephrol. 1996;7:2689–2693.
    1. Fisher M, Veall N. Glomerular filtration rate estimation based on a single blood sample. Br Med J. 1975;2:542. doi: 10.1136/bmj.2.5970.542.
    1. Groth S, Aasted M. 51Cr-EDTA clearance determined by one plasma sample. Clin Physiol. 1981;1:417–425. doi: 10.1111/j.1475-097X.1981.tb00909.x.
    1. Itoh K, Matsuyama T. The single-plasma-sample method for determining the glomerular filtration rate with Tc-99m-diethylenetriamine pentaacetic acid in childhood and adolescence: is it age-dependent? Ann Nucl Med. 2002;16:541–548. doi: 10.1007/BF02988631.
    1. Eriksen BO, Mathisen UD, Melsom T, Ingebretsen OC, Jenssen TG, Njølstad I, Solbu MD, Toft I. Cystatin C is not a better estimator of GFR than plasma creatinine in the general population. Kidney Int. 2010;78:1305–1311. doi: 10.1038/ki.2010.321.
    1. McMeekin H, Wickham F, Barnfield M, Burniston M. A systematic review of single-sample glomerular filtration rate measurement techniques and demonstration of equal accuracy to slope-intercept methods. Nucl Med Commun. 2016;37:743–755. doi: 10.1097/MNM.0000000000000448.
    1. Groth S, Aasted M. 51Cr-EDTA clearance determined by one plasma sample in children. Clin Physiol. 1984;4:75–83. doi: 10.1111/j.1475-097X.1984.tb00646.x.
    1. Stake G, Monn E, Rootwelt K, Monclair T. A single plasma sample method for estimation of the glomerular filtration rate in infants and children using iohexol, II: establishment of the optimal plasma sampling time and a comparison with the 99Tcm-DTPA method. Scand J Clin Lab Invest. 1991;51:343–348. doi: 10.1080/00365519109091625.
    1. Fleming JS, Persaud L, Zivanovic MA. A general equation for estimating glomerular filtration rate from a single plasma sample. Nucl Med Commun. 2005;26:743–748. doi: 10.1097/01.mnm.0000171783.18650.80.
    1. Tøndel C, Bolann B, Salvador CL, Brackman D, Bjerre A, Svarstad E, Brun A. Iohexol plasma clearance in children: validation of multiple formulas and two-point sampling times. Pediatr Nephrol. 2017;32:311–320. doi: 10.1007/s00467-016-3436-z.
    1. Sapirstein LA, Vidt DG, Mandel MJ, Hanusek G. Volumes of distribution and clearances of intravenously injected creatinine in the dog. Am J Phys. 1955;181:330–336.
    1. Haycock GB, Schwartz GJ, Wisotsky DH. Geometric method for measuring body surface area: a height–weight formula validated in infants, children, and adults. J Pediatr. 1978;93:62–66. doi: 10.1016/S0022-3476(78)80601-5.
    1. Ham HR, Piepsz A. Estimation of glomerular filtration rate in infants and in children using a single-plasma sample method. J Nucl Med. 1991;32:1294–1297.
    1. Brown LD, Cai T, DasGupta A. Interval estimation for a binomial proportion. Statist Sci. 2001;16:101–133.
    1. Jødal L, Brøchner-Mortensen J. Reassessment of a classical single injection 51Cr-EDTA clearance method for determination of renal function in children and adults. Part I: analytically correct relationship between total and one-pool clearance. Scand J Clin Lab Invest. 2009;69:305–313. doi: 10.1080/00365510802566882.
    1. Brøchner-Mortensen J, Jødal L. Reassessment of a classical single injection 51Cr-EDTA clearance method for determination of renal function in children and adults. Part II: empirically determined relationships between total and one-pool clearance. Scand J Clin Lab Invest. 2009;69:314–322. doi: 10.1080/00365510802653680.
    1. Core Team R. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2017.
    1. Delanaye P, Ebert N, Melsom T, Gaspari F, Mariat C, Cavalier E, Bjork J, Christensson A, Nyman U, Porrini E, Remuzzi G, Ruggenenti P, Schaeffner E, Soveri I, Sterner G, Eriksen BO, Back SE. Iohexol plasma clearance for measuring glomerular filtration rate in clinical practice and research: a review. Part 1: how to measure glomerular filtration rate with iohexol? Clin Kidney J. 2016;9:682–699. doi: 10.1093/ckj/sfw070.
    1. Delanaye P, Melsom T, Ebert N, Back SE, Mariat C, Cavalier E, Bjork J, Christensson A, Nyman U, Porrini E, Remuzzi G, Ruggenenti P, Schaeffner E, Soveri I, Sterner G, Eriksen BO, Gaspari F. 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;9:700–704. doi: 10.1093/ckj/sfw071.

Source: PubMed

Подписаться