The EKFC equation outperforms the CKD-EPI and CKiD equations for GFR estimation in adolescent and young adult kidney transplant patients.

CKD‐EPI/CKiD equation EKFC equation bias and accuracy exogenous tracer glomerular filtration rate renal transplantation

Journal

Nephrology (Carlton, Vic.)
ISSN: 1440-1797
Titre abrégé: Nephrology (Carlton)
Pays: Australia
ID NLM: 9615568

Informations de publication

Date de publication:
27 May 2024
Historique:
revised: 28 04 2024
received: 20 02 2024
accepted: 17 05 2024
medline: 28 5 2024
pubmed: 28 5 2024
entrez: 28 5 2024
Statut: aheadofprint

Résumé

This study evaluated the bias and accuracy of the CKD-EPI/CKiD and EKFC equations compared with the reference exogenous tracer-based assessment of glomerular filtration rate (GFR) in adult and pediatric patients according to their renal transplant status. We assessed the bias and P In the overall population (n = 59), the median age was 29 years (IQR, 16.0-46.0) and the median measured GFR was 73.9 mL/min/1.73m In our study, which included adolescent and young adult kidney transplant patients, both the CKD-EPI/CKiD and EKFC equations tended to overestimate the measured glomerular filtration rate, with the EKFC equation exhibiting less bias. Renal transplant status significantly influenced the degree of estimation bias.

Identifiants

pubmed: 38803085
doi: 10.1111/nep.14328
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Department of Molecular Medicine, Division of Biochemistry, Molecular Biology, and Nutrition, University Hospital of Nancy, France

Informations de copyright

© 2024 The Author(s). Nephrology published by John Wiley & Sons Australia, Ltd on behalf of Asian Pacific Society of Nephrology.

Références

Schwartz GJ, Muñoz A, Schneider MF, et al. New equations to estimate GFR in children with CKD. J Am Soc Nephrol. 2009;20:629‐637.
Levey AS, Stevens LA, Schmid CH, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150:604‐612.
Levin A, Stevens PE, Bilous RW, et al. Kidney disease: improving global outcomes (KDIGO) CKD work group. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl. 2013;3:1‐150.
Pottel H, Bjork J, Courbebaisse M, et al. Development and validation of a modified full age spectrum creatinine‐based equation to estimate glomerular filtration rate: a cross‐sectional analysis of pooled data. Ann Intern Med. 2021;174:183‐191.
Nankivell BJ, Gruenewald SM, Allen RD, Chapman JR. Predicting glomerular filtration rate after kidney transplantation. Transplantation. 1995;59:1683‐1689.
Mariat C, Alamartine E, Barthelemy JC, et al. Assessing renal graft function in clinical trials: can tests predicting glomerular filtration rate substitute for a reference method? Kidney Int. 2004;65:289‐297.
Pöge U, Gerhardt T, Palmedo H, Klehr HU, Sauerbruch T, Woitas RP. MDRD equations for estimation of GFR in renal transplant recipients. Am J Transplant. 2005;5:1306‐1311.
Abbud‐Filho M, Adams PL, Alberú J, et al. A report of the Lisbon conference on the care of the kidney transplant recipient. Transplantation. 2007;83:S1‐S22.
White CA, Huang D, Akbari A, Garland J, Knoll GA. Performance of creatinine‐based estimates of GFR in kidney transplant recipients: a systematic review. Am J Kidney Dis. 2008;51:1005‐1015.
KDIGO clinical practice guideline for the care of kidney transplant recipients. Am J Transplant. 2009;9(Suppl 3):S1‐S155.
White CA, Akbari A, Doucette S, Fergusson D, Knoll GA. Estimating glomerular filtration rate in kidney transplantation: is the new chronic kidney disease epidemiology collaboration equation any better? Clin Chem. 2010;56:474‐477.
Buron F, Hadj‐Aissa A, Dubourg L, et al. Estimating glomerular filtration rate in kidney transplant recipients: performance over time of four creatinine‐based formulas. Transplantation. 2011;92:1005‐1011.
Koppe L, Klich A, Dubourg L, Ecochard R, Hadj‐Aissa A. Performance of creatinine‐based equations compared in older patients. J Nephrol. 2013;26:716‐723.
Masson I, Flamant M, Maillard N, et al. MDRD versus CKD‐EPI equation to estimate glomerular filtration rate in kidney transplant recipients. Transplantation. 2013;95:1211‐1217.
Delanaye P, Masson I, Maillard N, Pottel H, Mariat C. The new 2021 CKD‐EPI equation without race in a European cohort of renal transplanted patients. Transplantation. 2022;106:2443‐2447.
Oussalah A, Gleye S, Clerc Urmes I, et al. Long‐term ACE inhibitor/ARB use is associated with severe renal dysfunction and acute kidney injury in patients with severe COVID‐19: results from a referral center cohort in the northeast of France. Clin Infect Dis. 2020;71:2447‐2456.
Oussalah A, Gleye S, Urmes IC, et al. The spectrum of biochemical alterations associated with organ dysfunction and inflammatory status and their association with disease outcomes in severe COVID‐19: a longitudinal cohort and time‐series design study. EClinicalMedicine. 2020;27:100554.
Oussalah A, Callet J, Manteaux AE, et al. Usefulness of procalcitonin at admission as a risk‐stratifying biomarker for 50‐day in‐hospital mortality among patients with community‐acquired bloodstream infection: an observational cohort study. Biomark Res. 2023;11:4.
Inker LA, Schmid CH, Tighiouart H, et al. Estimating glomerular filtration rate from serum creatinine and cystatin C. N Engl J Med. 2012;367:20‐29.
Du Bois D, Du Bois EF. Clinical calorimetry: tenth paper a formula to estimate the approximate surface area if height and weight be known. Arch Intern Med. 1916;17:863‐871.
DeLong ER, DeLong DM, Clarke‐Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837‐845.
Efron B, Tibshirani RJ. An Introduction to the Bootstrap. CRC Press; 1994.
Nagelkerke NJ. A note on a general definition of the coefficient of determination. Biometrika. 1991;78:691‐692.
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;58:577‐587.
First MR. Renal function as a predictor of long‐term graft survival in renal transplant patients. Nephrol Dial Transplant. 2003;18(Suppl 1):i3‐i6.
Raynaud M, Al‐Awadhi S, Juric I, et al. Race‐free estimated glomerular filtration rate equation in kidney transplant recipients: development and validation study. BMJ. 2023;381:e073654.
Matsuda‐Abedini M, Marks SD, Foster BJ. Transition of young adult kidney transplant recipients. Pediatr Nephrol. 2023;38:383‐390.
Pottel H, Björk J, Bökenkamp A, et al. Estimating glomerular filtration rate at the transition from pediatric to adult care. Kidney Int. 2019;95:1234‐1243.
Pierce CB, Muñoz A, Ng DK, Warady BA, Furth SL, Schwartz GJ. Age‐ and sex‐dependent clinical equations to estimate glomerular filtration rates in children and young adults with chronic kidney disease. Kidney Int. 2021;99:948‐956.
Textor SC, Burnett JC Jr, Romero JC, et al. Urinary endothelin and renal vasoconstriction with cyclosporine or FK506 after liver transplantation. Kidney Int. 1995;47:1426‐1433.
Pottel H, Björk J, Rule AD, et al. Cystatin C‐based equation to estimate GFR without the inclusion of race and sex. N Engl J Med. 2023;388:333‐343.
Masson I, Maillard N, Tack I, et al. GFR estimation using standardized cystatin C in kidney transplant recipients. Am J Kidney Dis. 2013;61:279‐284.

Auteurs

Chloé Grosyeux (C)

Pediatric Nephrology Department, University Hospital of Nancy, Nancy, France.

Asma Alla (A)

Department of Nephrology, University of Lorraine, Nancy, France.

Françoise Barbé (F)

Department of Molecular Medicine, Division of Biochemistry, Molecular Biology, and Nutrition, University Hospital of Nancy, Nancy, France.
Reference Center for Inborn Errors of Metabolism (ORPHA67872), University Hospital of Nancy, Nancy, France.

Laurence Derain Dubourg (LD)

Nephrology, Dialysis, Hypertension and Functional Renal Exploration, Edouard Herriot Hospital, Hospices Civils de Lyon and Université Lyon 1, Lyon, France.

Laurence Chardon (L)

Department of Biology and Hormonology, Lyon-Est Hospital, Bron, France.

Jean-Louis Guéant (JL)

Department of Molecular Medicine, Division of Biochemistry, Molecular Biology, and Nutrition, University Hospital of Nancy, Nancy, France.
Reference Center for Inborn Errors of Metabolism (ORPHA67872), University Hospital of Nancy, Nancy, France.
INSERM UMR_S 1256, Nutrition, Genetics, and Environmental Risk Exposure (NGERE), Nancy, France.

Luc Frimat (L)

Department of Nephrology, University of Lorraine, Nancy, France.
INSERM CIC-EC CIE6, University of Lorraine, Nancy, France.

Abderrahim Oussalah (A)

Department of Molecular Medicine, Division of Biochemistry, Molecular Biology, and Nutrition, University Hospital of Nancy, Nancy, France.
Reference Center for Inborn Errors of Metabolism (ORPHA67872), University Hospital of Nancy, Nancy, France.
INSERM UMR_S 1256, Nutrition, Genetics, and Environmental Risk Exposure (NGERE), Nancy, France.

Isabelle Vrillon (I)

Pediatric Nephrology Department, University Hospital of Nancy, Nancy, France.

Classifications MeSH